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Color balance

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188: 203: 179: 27: 81:– must be transformed from the acquired values to new values that are appropriate for color reproduction or display. Several aspects of the acquisition and display process make such color correction essential – including that the acquisition sensors do not match the sensors in the human eye, that the properties of the display medium must be accounted for, and that the ambient viewing conditions of the acquisition differ from the display viewing conditions. 4313: 105: 167: 2742: 4323: 3687: 2718: 2671: 2730: 147: 2695: 2683: 1929:, representing the effective stimuli for the Long-, Medium-, and Short-wavelength cone types that are modeled as adapting independently. A 3x3 matrix converts RGB or XYZ to LMS, and then the three LMS primary values are scaled to balance the neutral; the color can then be converted back to the desired final 273:
tended to produce less color inconstancy (i.e., less distortion of the colors) than in monitor RGB for over 4000 hypothetical sets of camera sensitivities. This difference typically amounted to a factor of more than two in favor of camera RGB. This means that it is advantageous to get color balance
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There is a large literature on how one might estimate the ambient lighting from the camera data and then use this information to transform the image data. A variety of algorithms have been proposed, and the quality of these has been debated. A few examples and examination of the references therein
822:, the color balancing may be performed there. This has been termed a "wrong von Kries" transformation. Although it has been demonstrated to offer usually poorer results than balancing in monitor RGB, it is mentioned here as a bridge to other things. Mathematically, one computes: 120:
refers to the adjustment that in addition makes other colors in a displayed image appear to have the same general appearance as the colors in an original scene. It is particularly important that neutral (gray, neutral, white) colors in a scene appear neutral in the reproduction.
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Two photos of a high-rise building shot within a minute of each other with an entry-level point-and-shoot camera. Left photo shows a "normal", more accurate color balance, while the right side shows a "vivid" color balance, in-camera effects and no post-production besides black
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more critically than other colors. Trees, grass and sky can all be off without concern, but if human flesh tones are 'off' then the human subject can look sick or dead. To address this critical color balance issue, the tri-color primaries themselves are formulated to
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Many methods exist for color balancing. Setting a button on a camera is a way for the user to indicate to the processor the nature of the scene lighting. Another option on some cameras is a button which one may press when the camera is pointed at a
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Comparisons of images balanced by diagonal transforms in a number of different RGB spaces have identified several such spaces that work better than others, and better than camera or monitor spaces, for chromatic adaptation, as measured by several
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Most digital cameras have means to select color correction based on the type of scene lighting, using either manual lighting selection, automatic white balance, or custom white balance. The algorithms for these processes perform generalized
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By Viggiano's measure, and using his model of gaussian camera spectral sensitivities, most camera RGB spaces performed better than either monitor RGB or XYZ. If the camera's raw RGB values are known, one may use the 3x3 diagonal matrix:
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Matrices to convert to LMS space were not specified by von Kries, but can be derived from CIE color matching functions and LMS color matching functions when the latter are specified; matrices can also be found in reference books.
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are the red, green, and blue components of a pixel which is believed to be a white surface in the image before color balancing. This is a simple scaling of the red, green, and blue channels, and is why color balance tools in
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The best color matrix for adapting to a change in illuminant is not necessarily a diagonal matrix in a fixed color space. It has long been known that if the space of illuminants can be described as a linear model with
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Viggiano, J A Stephen (2004). "Comparison of the accuracy of different white-balancing options as quantified by their color constancy". In Blouke, Morley M; Sampat, Nitin; Motta, Ricardo J (eds.).
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is one of the most common kinds of balancing, and is when colors are adjusted to make a white object (such as a piece of paper or a wall) appear white and not a shade of any other colour.
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under which an image was captured; and second, scaling the components (e.g., R, G, and B) of the image or otherwise transforming the components so they conform to the viewing illuminant.
1508: 50:). An important goal of this adjustment is to render specific colors – particularly neutral colors like white or grey – correctly. Hence, the general method is sometimes called 2614: 2152: 1062: 567: 1393: 2305: 2275: 2245: 1296: 1266: 1236: 799: 769: 739: 3939: 2640:; the systems that performed statistically as well as the best on the majority of the image test sets used were the "Sharp", "Bradford", "CMCCAT", and "ROMM" spaces. 2380: 2355: 2330: 1371: 1346: 1321: 709: 684: 659: 1592: 1565: 1538: 1206: 1179: 1152: 330: 138:
balance as a true neutral color. The purpose of this color primary imbalance is to more faithfully reproduce the flesh tones through the entire brightness range.
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or other neutral colored object. This captures an image of the ambient light, which enables a digital camera to set the correct color balance for that light.
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The left half shows the photo as it came from the digital camera. The right half shows the photo adjusted to make a gray surface neutral in the same light.
258:. Algorithms and techniques used to attain color constancy are frequently used for color balancing, as well. Color constancy is, in turn, related to 4090: 251:, as everything in the image appears to have been shifted towards one color. Color balancing may be thought in terms of removing this color cast. 3944: 4080: 3309: 3223: 3159: 3142: 2956: 2897: 2864: 2837: 2810: 1373:
are the tristimulus values of a pixel in the un-color-balanced image. If the tristimulus values of the monitor primaries are in a matrix
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Color balancing an image affects not only the neutrals, but other colors as well. An image that is not color balanced is said to have a
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values, without respect to any color sensing or reproduction model. In film photography, color balance is typically achieved by using
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Comparison of resulted colors as shot by the digital camera for different light qualities (color temperature): Neutral, Warm and Cold.
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has survived as the dominant explanation of color sensation for over 100 years, motivated the method of converting color to the
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are the tristimulus values of the viewing illuminant (the white point to which the image is being transformed to conform to);
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right at the time an image is captured, rather than edit later on a monitor. If one must color balance later, balancing the
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have a white eyedropper tool. It has been demonstrated that performing the white balancing in the phosphor set assumed by
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tends to produce large errors in chromatic colors, even though it can render the neutral surfaces perfectly neutral.
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would result, at least in theory, in a color balanced image. In this type of transformation the 3x3 matrix is a
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was believed to be a white object, and if 255 is the count which corresponds to white, one could multiply all
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In principle, one wants to scale all relative luminances in an image so that objects which are believed to be
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Sabine Süsstrunk; Jack Holm; Graham D. Finlayson (January 2001). Eschbach, Reiner; Marcu, Gabriel G. (eds.).
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This article is about the process applied to still images. For the equivalent process applied to video, see
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Cinematography: Theory and Practice : Imagemaking for Cinematographers, Directors, and Videographers
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are the tristimulus values of an object believed to be white in the un-color-balanced image, and
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are the tristimulus values of an object believed to be white in the un-color-balanced image, and
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Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications V
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is the global adjustment of the intensities of the colors (typically red, green, and blue
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will tend to produce less distortion of chromatic colors than balancing in monitor RGB.
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are the red, green, and blue components of the image before color balancing, and
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Example of different white balance settings on digital camera for Neutral light.
1930: 192: 35: 2741: 4183: 4026: 3863: 3854: 3758: 3746: 3686: 3502: 3465: 3460: 3443: 2934:"When Color Constancy Goes Wrong: Correcting Improperly White-Balanced Images" 2765: 2717: 2670: 262:. Conceptually, color balancing consists of two steps: first, determining the 248: 146: 4043: 4016: 4011: 3520: 3134: 2948: 2729: 2624: 1918: 803: 220: 3092:
Heinz Terstiege (1972). "Chromatic adaptation: a state-of-the-art report".
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fixed linear transformations, not necessarily consistently diagonalizable.
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2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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applications usually operate directly on the red, green, and blue channel
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Affine color balance with saturation, with code and on-line demonstration
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basis terms, the proper color transformation will be the weighted sum of
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Color balancing is sometimes performed on a three-component image (e.g.,
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are the tristimulus values of a pixel in the un-color-balanced image.
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Afifi, Mahmoud; Price, Brian; Cohen, Scott; Brown, Michael S (2019).
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Graham Finlayson; Paul M. Hubel; Steven Hordley (November 2001).
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Proceedings of the Fourth IS&T/SID Color Imaging Conference
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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Comparison of color versions (raw, natural, white balance) of
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are the color balanced red, green, and blue components of a
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Sometimes the adjustment to keep neutrals neutral is called
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Viggiano found that white balancing in the camera's native
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A white-balanced image of Mount Sharp (Aeolis Mons) on Mars
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are the color-balanced LMS cone tristimulus values;
4279: 4192: 4117: 4110: 4061: 3980: 3930: 3862: 3853: 3772: 3705: 3694: 3583: 3530: 3412: 3335: 3326: 3282:Getting the White Balance Right for Neutral Colors 2608: 2374: 2349: 2324: 2299: 2269: 2239: 2209: 2189: 2169: 2146: 1894: 1586: 1559: 1532: 1502: 1387: 1365: 1340: 1315: 1290: 1260: 1230: 1200: 1173: 1146: 1119: 1099: 1079: 1056: 793: 763: 733: 703: 678: 653: 624: 604: 584: 561: 324: 227:will lead the reader to many others. Examples are 174:as a reference shot for color balance adjustments. 3940:Linguistic relativity and the color naming debate 3212:. In Martin A. Fischler; Oscar Firschein (eds.). 2619:and then convert to a working RGB space such as 3056: 3054: 3052: 3208:Laurence T. Maloney; Brain A. Wandell (1987). 16:Adjustment of color intensities in photography 3303: 2979:Brian Funt, Vlad Cardei, and Kobus Barnard, " 8: 3243:"photoskop: Interactive Photography Lessons" 3237: 3235: 1127:are the color-balanced tristimulus values; 4322: 4114: 3859: 3702: 3332: 3310: 3296: 3288: 3265:photoskop: Interactive Photography Lessons 3122: 3120: 3019: 2562: 2541: 2532: 2501: 2492: 2461: 2452: 2445: 2409: 2403: 2362: 2337: 2312: 2288: 2282: 2258: 2252: 2228: 2222: 2202: 2182: 2162: 2100: 2079: 2070: 2039: 2030: 1999: 1990: 1983: 1947: 1941: 1873: 1854: 1835: 1827: 1818: 1801: 1792: 1786: 1754: 1745: 1739: 1707: 1698: 1692: 1684: 1670: 1665: 1648: 1634: 1620: 1612: 1606: 1578: 1572: 1551: 1545: 1524: 1518: 1486: 1472: 1458: 1450: 1441: 1409: 1403: 1380: 1378: 1353: 1328: 1303: 1279: 1273: 1249: 1243: 1219: 1213: 1192: 1186: 1165: 1159: 1138: 1132: 1112: 1092: 1072: 1010: 989: 980: 974: 942: 933: 927: 895: 886: 880: 872: 836: 830: 782: 776: 752: 746: 722: 716: 691: 666: 641: 617: 597: 577: 515: 494: 485: 454: 445: 414: 405: 398: 362: 356: 336:values by 255/240. Doing analogously for 311: 4091:International Commission on Illumination 84:The color balance operations in popular 73:Image data acquired by sensors – either 2791: 1503:{\displaystyle \left=\mathbf {P} \left} 96:over the lights or on the camera lens. 4081:Color Association of the United States 2888:. Cambridge University Press. p.  2884:Introduction to Color Imaging Science 2631:Preferred chromatic adaptation spaces 818:If the image may be transformed into 7: 3065:. Vol. 5301. pp. 323–333. 142:Illuminant estimation and adaptation 306:appear so. If, say, a surface with 3945:Blue–green distinction in language 3114:Reading, MA: Addison-Wesley, 1998. 14: 3044:Principles of Color Reproduction. 254:Color balance is also related to 4321: 4312: 4311: 4102:International Colour Association 3685: 3164:IS&T/SPIE Electronic Imaging 2740: 2728: 2716: 2693: 2681: 2669: 2609:{\displaystyle \left=\left\left} 2147:{\displaystyle \left=\left\left} 1819: 1674: 1671: 1667: 1442: 1381: 1057:{\displaystyle \left=\left\left} 562:{\displaystyle \left=\left\left} 2921:Retrieved October 12, 2016. 2805:. Peachpit Press. p. 134. 4097:International Color Consortium 4086:International Colour Authority 3130:Digital Color Imaging Handbook 1: 4162:List of Crayola crayon colors 2644:General illuminant adaptation 2859:. Focal Press. p. 170. 2832:. Adobe Press. p. 278. 2826:Adobe Creative Team (2000). 1388:{\displaystyle \mathbf {P} } 282:Mathematics of color balance 3965:Traditional colors of Japan 3742:Achromatic colors (Neutral) 3625:Multi-primary color display 3399:Spectral power distribution 3271:Understanding White Balance 3267:- Interactive White Balance 3261:- Intro at nikondigital.org 3215:Readings in Computer Vision 3094:Journal of Color Appearance 2802:The Gimp for Linux and Unix 298:Scaling monitor R, G, and B 125:Psychological color balance 4374: 1917:and three color-sensitive 1598:monitor RGB, one may use: 820:CIE XYZ tristimulus values 108:Example of color balancing 18: 4307: 3825:Color realism (art style) 3683: 3483:Evolution of color vision 233:artificial neural network 193:Mount Sharp (Aeolis Mons) 150:A seascape photograph at 100:Generalized color balance 4142:List of colors (compact) 3960:Color in Chinese culture 3610:Digital image processing 3343:Electromagnetic spectrum 3112:Color Appearance Models. 2981:Learning color constancy 94:color correction filters 4147:List of colors by shade 2949:10.1109/cvpr.2019.00163 2638:color appearance models 4152:List of color palettes 3284:- Photography Tutorial 3127:Gaurav Sharma (2003). 3100:(4): 19–23 (cont. 40). 3046:New York: Wiley, 1967. 2943:. pp. 1535–1544. 2880:Hsien-Che Lee (2005). 2799:Phyllis Davis (2000). 2610: 2376: 2351: 2326: 2301: 2300:{\displaystyle S'_{w}} 2271: 2270:{\displaystyle M'_{w}} 2241: 2240:{\displaystyle L'_{w}} 2211: 2191: 2171: 2148: 1905: 1896: 1588: 1561: 1534: 1504: 1389: 1367: 1342: 1317: 1292: 1291:{\displaystyle Z'_{w}} 1262: 1261:{\displaystyle Y'_{w}} 1232: 1231:{\displaystyle X'_{w}} 1202: 1175: 1148: 1121: 1101: 1081: 1058: 795: 794:{\displaystyle B'_{w}} 765: 764:{\displaystyle G'_{w}} 735: 734:{\displaystyle R'_{w}} 705: 680: 655: 626: 606: 586: 563: 326: 207: 199: 184: 175: 163: 109: 31: 4076:Color Marketing Group 3831:On Vision and Colours 3764:Tinctures in heraldry 3375:Structural coloration 2611: 2377: 2352: 2327: 2302: 2272: 2242: 2212: 2192: 2172: 2149: 1897: 1589: 1587:{\displaystyle L_{B}} 1562: 1560:{\displaystyle L_{G}} 1535: 1533:{\displaystyle L_{R}} 1505: 1390: 1368: 1343: 1318: 1293: 1263: 1233: 1203: 1201:{\displaystyle Z_{w}} 1176: 1174:{\displaystyle Y_{w}} 1149: 1147:{\displaystyle X_{w}} 1122: 1102: 1082: 1059: 796: 766: 736: 706: 681: 656: 627: 607: 587: 564: 327: 325:{\displaystyle R=240} 205: 190: 181: 169: 149: 107: 29: 4358:Film post-production 4157:List of color spaces 4049:Tint, shade and tone 3932:Cultural differences 3747:Polychromatic colors 3732:Complementary colors 3720:Monochromatic colors 2853:Blain Brown (2002). 2402: 2361: 2336: 2311: 2281: 2251: 2221: 2201: 2181: 2161: 1940: 1605: 1571: 1544: 1517: 1402: 1377: 1352: 1327: 1302: 1272: 1242: 1212: 1185: 1158: 1131: 1111: 1091: 1071: 829: 775: 745: 715: 690: 665: 640: 616: 596: 576: 355: 310: 260:chromatic adaptation 213:chromatic adaptation 4137:List of colors: N–Z 4132:List of colors: G–M 4127:List of colors: A–F 3218:. Morgan-Kaufmann. 2987:, pp. 58–60 (1996). 2829:Adobe Photoshop 6.0 2549: 2509: 2469: 2296: 2266: 2236: 2087: 2047: 2007: 1809: 1762: 1715: 1287: 1257: 1227: 997: 950: 903: 790: 760: 730: 502: 462: 422: 4184:List of web colors 4179:List of RAL colors 3585:Color reproduction 3550:Lüscher color test 3387:Color of chemicals 3110:Mark D Fairchild, 2606: 2600: 2552: 2537: 2497: 2457: 2432: 2390:Scaling camera RGB 2375:{\displaystyle S'} 2372: 2350:{\displaystyle M'} 2347: 2325:{\displaystyle L'} 2322: 2297: 2284: 2267: 2254: 2237: 2224: 2207: 2187: 2167: 2144: 2138: 2090: 2075: 2035: 1995: 1970: 1913:, whose theory of 1911:Johannes von Kries 1906:Von Kries's method 1892: 1886: 1812: 1797: 1750: 1703: 1656: 1584: 1557: 1530: 1500: 1494: 1432: 1385: 1366:{\displaystyle Z'} 1363: 1341:{\displaystyle Y'} 1338: 1316:{\displaystyle X'} 1313: 1288: 1275: 1258: 1245: 1228: 1215: 1198: 1171: 1144: 1117: 1097: 1077: 1054: 1048: 1000: 985: 938: 891: 859: 791: 778: 761: 748: 731: 718: 704:{\displaystyle B'} 701: 679:{\displaystyle G'} 676: 654:{\displaystyle R'} 651: 622: 602: 582: 559: 553: 505: 490: 450: 410: 385: 322: 208: 200: 185: 176: 164: 110: 32: 4335: 4334: 4275: 4274: 4057: 4056: 3849: 3848: 3839:Theory of Colours 3681: 3680: 3593:Color photography 3545:Color preferences 3488:Impossible colors 3478:Color vision test 3473:Color temperature 3451:Color calibration 3380:Animal coloration 3245:. April 25, 2015. 3225:978-0-934613-33-0 3176:10.1117/12.410788 3144:978-0-8493-0900-7 3071:10.1117/12.524922 3030:10.1109/34.969113 2958:978-1-7281-3293-8 2899:978-0-521-84388-1 2866:978-0-240-80500-9 2839:978-0-201-71016-8 2812:978-0-201-70253-8 2771:Color temperature 2747:Setting: Tungsten 2627:after balancing. 2210:{\displaystyle S} 2190:{\displaystyle M} 2170:{\displaystyle L} 1120:{\displaystyle Z} 1100:{\displaystyle Y} 1080:{\displaystyle X} 625:{\displaystyle B} 605:{\displaystyle G} 585:{\displaystyle R} 129:Humans relate to 116:, and the phrase 4365: 4353:Image processing 4325: 4324: 4315: 4314: 4115: 3981:Color dimensions 3970:Human skin color 3860: 3737:Analogous colors 3703: 3689: 3615:Color management 3532:Color psychology 3498:Opponent process 3414:Color perception 3333: 3312: 3305: 3298: 3289: 3247: 3246: 3239: 3230: 3229: 3205: 3199: 3198: 3196: 3195: 3186:. Archived from 3155: 3149: 3148: 3124: 3115: 3108: 3102: 3101: 3089: 3083: 3082: 3058: 3047: 3040: 3034: 3033: 3023: 3003: 2994: 2988: 2977: 2971: 2970: 2938: 2929: 2923: 2922: 2910: 2904: 2903: 2887: 2877: 2871: 2870: 2850: 2844: 2843: 2823: 2817: 2816: 2796: 2776:Gamma correction 2744: 2732: 2723:Setting: As shot 2720: 2697: 2685: 2673: 2615: 2613: 2612: 2607: 2605: 2601: 2597: 2585: 2573: 2557: 2553: 2545: 2536: 2505: 2496: 2465: 2456: 2437: 2433: 2381: 2379: 2378: 2373: 2371: 2356: 2354: 2353: 2348: 2346: 2331: 2329: 2328: 2323: 2321: 2306: 2304: 2303: 2298: 2292: 2276: 2274: 2273: 2268: 2262: 2246: 2244: 2243: 2238: 2232: 2216: 2214: 2213: 2208: 2196: 2194: 2193: 2188: 2176: 2174: 2173: 2168: 2153: 2151: 2150: 2145: 2143: 2139: 2135: 2123: 2111: 2095: 2091: 2083: 2074: 2043: 2034: 2003: 1994: 1975: 1971: 1901: 1899: 1898: 1893: 1891: 1887: 1883: 1882: 1881: 1864: 1863: 1862: 1845: 1844: 1843: 1822: 1817: 1813: 1805: 1796: 1791: 1790: 1758: 1749: 1744: 1743: 1711: 1702: 1697: 1696: 1679: 1678: 1677: 1661: 1657: 1653: 1652: 1639: 1638: 1625: 1624: 1593: 1591: 1590: 1585: 1583: 1582: 1566: 1564: 1563: 1558: 1556: 1555: 1539: 1537: 1536: 1531: 1529: 1528: 1509: 1507: 1506: 1501: 1499: 1495: 1491: 1490: 1477: 1476: 1463: 1462: 1445: 1437: 1433: 1394: 1392: 1391: 1386: 1384: 1372: 1370: 1369: 1364: 1362: 1347: 1345: 1344: 1339: 1337: 1322: 1320: 1319: 1314: 1312: 1297: 1295: 1294: 1289: 1283: 1267: 1265: 1264: 1259: 1253: 1237: 1235: 1234: 1229: 1223: 1207: 1205: 1204: 1199: 1197: 1196: 1180: 1178: 1177: 1172: 1170: 1169: 1153: 1151: 1150: 1145: 1143: 1142: 1126: 1124: 1123: 1118: 1106: 1104: 1103: 1098: 1086: 1084: 1083: 1078: 1063: 1061: 1060: 1055: 1053: 1049: 1045: 1033: 1021: 1005: 1001: 993: 984: 979: 978: 946: 937: 932: 931: 899: 890: 885: 884: 864: 860: 800: 798: 797: 792: 786: 770: 768: 767: 762: 756: 740: 738: 737: 732: 726: 710: 708: 707: 702: 700: 685: 683: 682: 677: 675: 660: 658: 657: 652: 650: 631: 629: 628: 623: 611: 609: 608: 603: 591: 589: 588: 583: 568: 566: 565: 560: 558: 554: 550: 538: 526: 510: 506: 498: 489: 458: 449: 418: 409: 390: 386: 331: 329: 328: 323: 243:Chromatic colors 170:Photograph of a 64:color correction 40:image processing 4373: 4372: 4368: 4367: 4366: 4364: 4363: 4362: 4338: 4337: 4336: 4331: 4303: 4271: 4188: 4106: 4063: 4053: 3976: 3955:Blue in culture 3926: 3845: 3792:Secondary color 3768: 3725:black-and-white 3697: 3690: 3677: 3579: 3565:National colors 3560:Political color 3540:Color symbolism 3526: 3456:Color constancy 3434:Color blindness 3408: 3365:Spectral colors 3322: 3316: 3255: 3250: 3241: 3240: 3233: 3226: 3207: 3206: 3202: 3193: 3191: 3157: 3156: 3152: 3145: 3137:. p. 153. 3126: 3125: 3118: 3109: 3105: 3091: 3090: 3086: 3060: 3059: 3050: 3042:John A C Yule, 3041: 3037: 3021:10.1.1.133.2101 3014:(11): 1209–21. 3001: 2996: 2995: 2991: 2978: 2974: 2959: 2936: 2931: 2930: 2926: 2920: 2911: 2907: 2900: 2879: 2878: 2874: 2867: 2852: 2851: 2847: 2840: 2825: 2824: 2820: 2813: 2798: 2797: 2793: 2789: 2762: 2757: 2756: 2755: 2754: 2750: 2749: 2748: 2745: 2737: 2736: 2735:Setting: Cloudy 2733: 2725: 2724: 2721: 2710: 2709: 2708: 2707: 2703: 2702: 2701: 2698: 2690: 2689: 2686: 2678: 2677: 2674: 2663: 2646: 2633: 2599: 2598: 2590: 2587: 2586: 2578: 2575: 2574: 2566: 2558: 2551: 2550: 2527: 2522: 2516: 2515: 2510: 2487: 2481: 2480: 2475: 2470: 2441: 2431: 2430: 2424: 2423: 2417: 2416: 2405: 2400: 2399: 2392: 2364: 2359: 2358: 2339: 2334: 2333: 2314: 2309: 2308: 2279: 2278: 2249: 2248: 2219: 2218: 2199: 2198: 2179: 2178: 2159: 2158: 2137: 2136: 2128: 2125: 2124: 2116: 2113: 2112: 2104: 2096: 2089: 2088: 2065: 2060: 2054: 2053: 2048: 2025: 2019: 2018: 2013: 2008: 1979: 1969: 1968: 1962: 1961: 1955: 1954: 1943: 1938: 1937: 1927:LMS color space 1908: 1885: 1884: 1874: 1869: 1866: 1865: 1855: 1850: 1847: 1846: 1836: 1831: 1823: 1811: 1810: 1782: 1780: 1775: 1769: 1768: 1763: 1735: 1733: 1727: 1726: 1721: 1716: 1688: 1680: 1666: 1655: 1654: 1644: 1641: 1640: 1630: 1627: 1626: 1616: 1608: 1603: 1602: 1596:gamma corrected 1574: 1569: 1568: 1547: 1542: 1541: 1520: 1515: 1514: 1493: 1492: 1482: 1479: 1478: 1468: 1465: 1464: 1454: 1446: 1431: 1430: 1424: 1423: 1417: 1416: 1405: 1400: 1399: 1375: 1374: 1355: 1350: 1349: 1330: 1325: 1324: 1305: 1300: 1299: 1270: 1269: 1240: 1239: 1210: 1209: 1188: 1183: 1182: 1161: 1156: 1155: 1134: 1129: 1128: 1109: 1108: 1089: 1088: 1069: 1068: 1047: 1046: 1038: 1035: 1034: 1026: 1023: 1022: 1014: 1006: 999: 998: 970: 968: 963: 957: 956: 951: 923: 921: 915: 914: 909: 904: 876: 868: 858: 857: 851: 850: 844: 843: 832: 827: 826: 816: 814:Scaling X, Y, Z 773: 772: 743: 742: 713: 712: 693: 688: 687: 668: 663: 662: 643: 638: 637: 614: 613: 594: 593: 574: 573: 552: 551: 543: 540: 539: 531: 528: 527: 519: 511: 504: 503: 480: 475: 469: 468: 463: 440: 434: 433: 428: 423: 394: 384: 383: 377: 376: 370: 369: 358: 353: 352: 346:diagonal matrix 308: 307: 300: 284: 271:RGB color model 256:color constancy 245: 237:Bayesian method 144: 127: 102: 56:neutral balance 24: 17: 12: 11: 5: 4371: 4369: 4361: 4360: 4355: 4350: 4340: 4339: 4333: 4332: 4330: 4329: 4319: 4308: 4305: 4304: 4302: 4301: 4296: 4291: 4285: 4283: 4277: 4276: 4273: 4272: 4270: 4269: 4264: 4259: 4254: 4249: 4244: 4239: 4234: 4229: 4224: 4219: 4214: 4209: 4204: 4198: 4196: 4190: 4189: 4187: 4186: 4181: 4176: 4171: 4170: 4169: 4159: 4154: 4149: 4144: 4139: 4134: 4129: 4123: 4121: 4112: 4108: 4107: 4105: 4104: 4099: 4094: 4088: 4083: 4078: 4073: 4067: 4065: 4059: 4058: 4055: 4054: 4052: 4051: 4046: 4041: 4040: 4039: 4034: 4029: 4024: 4019: 4009: 4008: 4007: 3997: 3996: 3995: 3984: 3982: 3978: 3977: 3975: 3974: 3973: 3972: 3967: 3962: 3957: 3951:Color history 3949: 3948: 3947: 3936: 3934: 3928: 3927: 3925: 3924: 3919: 3914: 3909: 3904: 3899: 3894: 3889: 3884: 3879: 3874: 3868: 3866: 3857: 3851: 3850: 3847: 3846: 3844: 3843: 3835: 3834:(Schopenhauer) 3827: 3822: 3819:Color analysis 3816: 3814:Color triangle 3811: 3806: 3801: 3796: 3795: 3794: 3789: 3778: 3776: 3770: 3769: 3767: 3766: 3761: 3756: 3751: 3750: 3749: 3744: 3739: 3734: 3729: 3728: 3727: 3711: 3709: 3700: 3692: 3691: 3684: 3682: 3679: 3678: 3676: 3675: 3670: 3665: 3664: 3663: 3662: 3661: 3651: 3650: 3649: 3634: 3633: 3632: 3627: 3620:Color printing 3617: 3612: 3607: 3606: 3605: 3600: 3589: 3587: 3581: 3580: 3578: 3577: 3572: 3567: 3562: 3557: 3555:Kruithof curve 3552: 3547: 3542: 3536: 3534: 3528: 3527: 3525: 3524: 3517: 3512: 3511: 3510: 3505: 3495: 3490: 3485: 3480: 3475: 3470: 3469: 3468: 3458: 3453: 3448: 3447: 3446: 3441: 3431: 3430: 3429: 3427:Sonochromatism 3418: 3416: 3410: 3409: 3407: 3406: 3401: 3396: 3395: 3394: 3384: 3383: 3382: 3377: 3367: 3362: 3361: 3360: 3355: 3350: 3339: 3337: 3330: 3324: 3323: 3317: 3315: 3314: 3307: 3300: 3292: 3286: 3285: 3279: 3274: 3268: 3262: 3254: 3253:External links 3251: 3249: 3248: 3231: 3224: 3200: 3150: 3143: 3116: 3103: 3084: 3048: 3035: 2989: 2972: 2957: 2924: 2905: 2898: 2872: 2865: 2845: 2838: 2818: 2811: 2790: 2788: 2785: 2784: 2783: 2778: 2773: 2768: 2761: 2758: 2752: 2751: 2746: 2739: 2738: 2734: 2727: 2726: 2722: 2715: 2714: 2713: 2712: 2711: 2705: 2704: 2699: 2692: 2691: 2687: 2680: 2679: 2675: 2668: 2667: 2666: 2665: 2664: 2662: 2659: 2645: 2642: 2632: 2629: 2617: 2616: 2604: 2596: 2593: 2589: 2588: 2584: 2581: 2577: 2576: 2572: 2569: 2565: 2564: 2561: 2556: 2548: 2544: 2540: 2535: 2531: 2528: 2526: 2523: 2521: 2518: 2517: 2514: 2511: 2508: 2504: 2500: 2495: 2491: 2488: 2486: 2483: 2482: 2479: 2476: 2474: 2471: 2468: 2464: 2460: 2455: 2451: 2448: 2447: 2444: 2440: 2436: 2429: 2426: 2425: 2422: 2419: 2418: 2415: 2412: 2411: 2408: 2391: 2388: 2370: 2367: 2345: 2342: 2320: 2317: 2295: 2291: 2287: 2265: 2261: 2257: 2235: 2231: 2227: 2206: 2186: 2166: 2155: 2154: 2142: 2134: 2131: 2127: 2126: 2122: 2119: 2115: 2114: 2110: 2107: 2103: 2102: 2099: 2094: 2086: 2082: 2078: 2073: 2069: 2066: 2064: 2061: 2059: 2056: 2055: 2052: 2049: 2046: 2042: 2038: 2033: 2029: 2026: 2024: 2021: 2020: 2017: 2014: 2012: 2009: 2006: 2002: 1998: 1993: 1989: 1986: 1985: 1982: 1978: 1974: 1967: 1964: 1963: 1960: 1957: 1956: 1953: 1950: 1949: 1946: 1907: 1904: 1903: 1902: 1890: 1880: 1877: 1872: 1868: 1867: 1861: 1858: 1853: 1849: 1848: 1842: 1839: 1834: 1830: 1829: 1826: 1821: 1816: 1808: 1804: 1800: 1795: 1789: 1785: 1781: 1779: 1776: 1774: 1771: 1770: 1767: 1764: 1761: 1757: 1753: 1748: 1742: 1738: 1734: 1732: 1729: 1728: 1725: 1722: 1720: 1717: 1714: 1710: 1706: 1701: 1695: 1691: 1687: 1686: 1683: 1676: 1673: 1669: 1664: 1660: 1651: 1647: 1643: 1642: 1637: 1633: 1629: 1628: 1623: 1619: 1615: 1614: 1611: 1581: 1577: 1554: 1550: 1527: 1523: 1511: 1510: 1498: 1489: 1485: 1481: 1480: 1475: 1471: 1467: 1466: 1461: 1457: 1453: 1452: 1449: 1444: 1440: 1436: 1429: 1426: 1425: 1422: 1419: 1418: 1415: 1412: 1411: 1408: 1383: 1361: 1358: 1336: 1333: 1311: 1308: 1286: 1282: 1278: 1256: 1252: 1248: 1226: 1222: 1218: 1195: 1191: 1168: 1164: 1141: 1137: 1116: 1096: 1076: 1065: 1064: 1052: 1044: 1041: 1037: 1036: 1032: 1029: 1025: 1024: 1020: 1017: 1013: 1012: 1009: 1004: 996: 992: 988: 983: 977: 973: 969: 967: 964: 962: 959: 958: 955: 952: 949: 945: 941: 936: 930: 926: 922: 920: 917: 916: 913: 910: 908: 905: 902: 898: 894: 889: 883: 879: 875: 874: 871: 867: 863: 856: 853: 852: 849: 846: 845: 842: 839: 838: 835: 815: 812: 789: 785: 781: 759: 755: 751: 729: 725: 721: 699: 696: 674: 671: 649: 646: 636:in the image; 621: 601: 581: 570: 569: 557: 549: 546: 542: 541: 537: 534: 530: 529: 525: 522: 518: 517: 514: 509: 501: 497: 493: 488: 484: 481: 479: 476: 474: 471: 470: 467: 464: 461: 457: 453: 448: 444: 441: 439: 436: 435: 432: 429: 427: 424: 421: 417: 413: 408: 404: 401: 400: 397: 393: 389: 382: 379: 378: 375: 372: 371: 368: 365: 364: 361: 321: 318: 315: 299: 296: 290:) using a 3x3 283: 280: 276:raw image data 244: 241: 143: 140: 126: 123: 101: 98: 77:or electronic 48:primary colors 15: 13: 10: 9: 6: 4: 3: 2: 4370: 4359: 4356: 4354: 4351: 4349: 4346: 4345: 4343: 4328: 4320: 4318: 4310: 4309: 4306: 4300: 4297: 4295: 4292: 4290: 4287: 4286: 4284: 4282: 4278: 4268: 4265: 4263: 4260: 4258: 4255: 4253: 4250: 4248: 4245: 4243: 4240: 4238: 4235: 4233: 4230: 4228: 4225: 4223: 4220: 4218: 4215: 4213: 4210: 4208: 4205: 4203: 4200: 4199: 4197: 4195: 4191: 4185: 4182: 4180: 4177: 4175: 4172: 4168: 4165: 4164: 4163: 4160: 4158: 4155: 4153: 4150: 4148: 4145: 4143: 4140: 4138: 4135: 4133: 4130: 4128: 4125: 4124: 4122: 4120: 4116: 4113: 4109: 4103: 4100: 4098: 4095: 4092: 4089: 4087: 4084: 4082: 4079: 4077: 4074: 4072: 4069: 4068: 4066: 4064:organizations 4060: 4050: 4047: 4045: 4042: 4038: 4035: 4033: 4030: 4028: 4025: 4023: 4020: 4018: 4015: 4014: 4013: 4010: 4006: 4005:Pastel colors 4003: 4002: 4001: 3998: 3994: 3991: 3990: 3989: 3986: 3985: 3983: 3979: 3971: 3968: 3966: 3963: 3961: 3958: 3956: 3953: 3952: 3950: 3946: 3943: 3942: 3941: 3938: 3937: 3935: 3933: 3929: 3923: 3920: 3918: 3915: 3913: 3910: 3908: 3905: 3903: 3900: 3898: 3895: 3893: 3890: 3888: 3885: 3883: 3880: 3878: 3875: 3873: 3870: 3869: 3867: 3865: 3861: 3858: 3856: 3852: 3841: 3840: 3836: 3833: 3832: 3828: 3826: 3823: 3820: 3817: 3815: 3812: 3810: 3807: 3805: 3802: 3800: 3797: 3793: 3790: 3788: 3787:Primary color 3785: 3784: 3783: 3780: 3779: 3777: 3775: 3771: 3765: 3762: 3760: 3757: 3755: 3754:Light-on-dark 3752: 3748: 3745: 3743: 3740: 3738: 3735: 3733: 3730: 3726: 3723: 3722: 3721: 3718: 3717: 3716: 3713: 3712: 3710: 3708: 3704: 3701: 3699: 3693: 3688: 3674: 3673:Color mapping 3671: 3669: 3666: 3660: 3657: 3656: 3655: 3652: 3648: 3645: 3644: 3643: 3640: 3639: 3638: 3635: 3631: 3628: 3626: 3623: 3622: 3621: 3618: 3616: 3613: 3611: 3608: 3604: 3601: 3599: 3598:Color balance 3596: 3595: 3594: 3591: 3590: 3588: 3586: 3582: 3576: 3575:Chromotherapy 3573: 3571: 3568: 3566: 3563: 3561: 3558: 3556: 3553: 3551: 3548: 3546: 3543: 3541: 3538: 3537: 3535: 3533: 3529: 3523: 3522: 3518: 3516: 3515:Tetrachromacy 3513: 3509: 3506: 3504: 3501: 3500: 3499: 3496: 3494: 3491: 3489: 3486: 3484: 3481: 3479: 3476: 3474: 3471: 3467: 3464: 3463: 3462: 3459: 3457: 3454: 3452: 3449: 3445: 3442: 3440: 3439:Achromatopsia 3437: 3436: 3435: 3432: 3428: 3425: 3424: 3423: 3422:Chromesthesia 3420: 3419: 3417: 3415: 3411: 3405: 3402: 3400: 3397: 3393: 3390: 3389: 3388: 3385: 3381: 3378: 3376: 3373: 3372: 3371: 3368: 3366: 3363: 3359: 3356: 3354: 3351: 3349: 3346: 3345: 3344: 3341: 3340: 3338: 3336:Color physics 3334: 3331: 3329: 3328:Color science 3325: 3320: 3313: 3308: 3306: 3301: 3299: 3294: 3293: 3290: 3283: 3280: 3278: 3275: 3272: 3269: 3266: 3263: 3260: 3259:White Balance 3257: 3256: 3252: 3244: 3238: 3236: 3232: 3227: 3221: 3217: 3216: 3211: 3204: 3201: 3190:on 2006-10-18 3189: 3185: 3181: 3177: 3173: 3169: 3165: 3161: 3154: 3151: 3146: 3140: 3136: 3132: 3131: 3123: 3121: 3117: 3113: 3107: 3104: 3099: 3095: 3088: 3085: 3080: 3076: 3072: 3068: 3064: 3057: 3055: 3053: 3049: 3045: 3039: 3036: 3031: 3027: 3022: 3017: 3013: 3009: 3008: 3000: 2993: 2990: 2986: 2982: 2976: 2973: 2968: 2964: 2960: 2954: 2950: 2946: 2942: 2935: 2928: 2925: 2918: 2917:Nikon Digital 2914: 2913:White Balance 2909: 2906: 2901: 2895: 2891: 2886: 2885: 2876: 2873: 2868: 2862: 2858: 2857: 2849: 2846: 2841: 2835: 2831: 2830: 2822: 2819: 2814: 2808: 2804: 2803: 2795: 2792: 2786: 2782: 2779: 2777: 2774: 2772: 2769: 2767: 2764: 2763: 2759: 2743: 2731: 2719: 2696: 2684: 2676:Neutral light 2672: 2660: 2658: 2656: 2652: 2643: 2641: 2639: 2630: 2628: 2626: 2622: 2602: 2594: 2591: 2582: 2579: 2570: 2567: 2559: 2554: 2546: 2542: 2538: 2533: 2529: 2524: 2519: 2512: 2506: 2502: 2498: 2493: 2489: 2484: 2477: 2472: 2466: 2462: 2458: 2453: 2449: 2442: 2438: 2434: 2427: 2420: 2413: 2406: 2398: 2397: 2396: 2389: 2387: 2383: 2368: 2365: 2343: 2340: 2318: 2315: 2293: 2289: 2285: 2263: 2259: 2255: 2233: 2229: 2225: 2204: 2184: 2164: 2140: 2132: 2129: 2120: 2117: 2108: 2105: 2097: 2092: 2084: 2080: 2076: 2071: 2067: 2062: 2057: 2050: 2044: 2040: 2036: 2031: 2027: 2022: 2015: 2010: 2004: 2000: 1996: 1991: 1987: 1980: 1976: 1972: 1965: 1958: 1951: 1944: 1936: 1935: 1934: 1932: 1928: 1924: 1921:types in the 1920: 1916: 1912: 1888: 1878: 1875: 1870: 1859: 1856: 1851: 1840: 1837: 1832: 1824: 1814: 1806: 1802: 1798: 1793: 1787: 1783: 1777: 1772: 1765: 1759: 1755: 1751: 1746: 1740: 1736: 1730: 1723: 1718: 1712: 1708: 1704: 1699: 1693: 1689: 1681: 1662: 1658: 1649: 1645: 1635: 1631: 1621: 1617: 1609: 1601: 1600: 1599: 1597: 1579: 1575: 1552: 1548: 1525: 1521: 1496: 1487: 1483: 1473: 1469: 1459: 1455: 1447: 1438: 1434: 1427: 1420: 1413: 1406: 1398: 1397: 1396: 1359: 1356: 1334: 1331: 1309: 1306: 1284: 1280: 1276: 1254: 1250: 1246: 1224: 1220: 1216: 1193: 1189: 1166: 1162: 1139: 1135: 1114: 1094: 1074: 1050: 1042: 1039: 1030: 1027: 1018: 1015: 1007: 1002: 994: 990: 986: 981: 975: 971: 965: 960: 953: 947: 943: 939: 934: 928: 924: 918: 911: 906: 900: 896: 892: 887: 881: 877: 869: 865: 861: 854: 847: 840: 833: 825: 824: 823: 821: 813: 811: 809: 805: 787: 783: 779: 757: 753: 749: 727: 723: 719: 697: 694: 672: 669: 647: 644: 635: 619: 599: 579: 555: 547: 544: 535: 532: 523: 520: 512: 507: 499: 495: 491: 486: 482: 477: 472: 465: 459: 455: 451: 446: 442: 437: 430: 425: 419: 415: 411: 406: 402: 395: 391: 387: 380: 373: 366: 359: 351: 350: 349: 347: 343: 339: 335: 319: 316: 313: 305: 297: 295: 293: 289: 281: 279: 277: 272: 267: 265: 261: 257: 252: 250: 242: 240: 238: 234: 230: 224: 222: 216: 214: 204: 198: 194: 189: 180: 173: 168: 161: 157: 153: 152:Clifton Beach 148: 141: 139: 137: 132: 124: 122: 119: 118:color balance 115: 114:white balance 106: 99: 97: 95: 91: 87: 86:image editing 82: 80: 79:image sensors 76: 71: 69: 68:White balance 65: 61: 60:white balance 57: 53: 49: 45: 44:color balance 41: 37: 28: 22: 21:Color grading 4037:Fluorescence 4000:Colorfulness 3993:Dichromatism 3837: 3829: 3799:Chromaticity 3782:Color mixing 3774:Color theory 3707:Color scheme 3597: 3570:Chromophobia 3519: 3214: 3203: 3192:. Retrieved 3188:the original 3167: 3163: 3153: 3129: 3111: 3106: 3097: 3093: 3087: 3062: 3043: 3038: 3011: 3005: 2992: 2984: 2975: 2940: 2927: 2916: 2908: 2883: 2875: 2855: 2848: 2828: 2821: 2801: 2794: 2654: 2650: 2647: 2634: 2618: 2393: 2384: 2156: 1909: 1512: 1066: 817: 571: 301: 285: 268: 253: 246: 225: 217: 209: 172:ColorChecker 135: 128: 117: 113: 111: 83: 72: 67: 59: 55: 52:gray balance 51: 43: 33: 4174:Color chart 4032:Iridescence 3864:Basic terms 3855:Color terms 3809:Color wheel 3804:Color solid 3668:Color space 3654:subtractive 3637:Color model 3508:Unique hues 3404:Colorimetry 3370:Chromophore 3170:: 172–183. 2781:White point 1931:color space 1594:are the un- 183:background. 131:flesh tones 36:photography 4342:Categories 4194:Shades of: 4027:Brightness 3759:Web colors 3715:Color tool 3698:philosophy 3603:Color cast 3503:Afterimage 3493:Metamerism 3466:Color code 3461:Color task 3444:Dichromacy 3273:- Tutorial 3194:2009-03-20 2787:References 2766:Color cast 2700:Cold light 2688:Warm light 264:illuminant 249:color cast 4044:Grayscale 4017:Lightness 4012:Luminance 3821:(fashion) 3521:The dress 3135:CRC Press 3016:CiteSeerX 2967:196195956 2625:Adobe RGB 1672:− 1395:so that: 804:Photoshop 221:gray card 156:South Arm 4317:Category 4299:Lighting 4022:Darkness 3842:(Goethe) 3642:additive 3630:Quattron 2760:See also 2661:Examples 2595:′ 2583:′ 2571:′ 2547:′ 2507:′ 2467:′ 2369:′ 2344:′ 2319:′ 2294:′ 2264:′ 2234:′ 2133:′ 2121:′ 2109:′ 2085:′ 2045:′ 2005:′ 1879:′ 1860:′ 1841:′ 1807:′ 1760:′ 1713:′ 1360:′ 1335:′ 1310:′ 1285:′ 1255:′ 1225:′ 1043:′ 1031:′ 1019:′ 995:′ 948:′ 901:′ 788:′ 758:′ 728:′ 698:′ 673:′ 648:′ 548:′ 536:′ 524:′ 500:′ 460:′ 420:′ 160:Tasmania 4281:Related 4242:Magenta 4167:history 4071:Pantone 3358:Visible 3353:Rainbow 3184:8140548 3079:8971750 304:neutral 229:Retinex 4294:Qualia 4289:Vision 4237:Purple 4232:Violet 4212:Yellow 4207:Orange 3902:Orange 3897:Purple 3887:Yellow 3321:topics 3222:  3182:  3141:  3077:  3018:  2983:", in 2965:  2955:  2896:  2863:  2836:  2809:  2357:, and 2277:, and 2197:, and 2157:where 1923:retina 1567:, and 1513:where 1348:, and 1268:, and 1181:, and 1107:, and 1067:where 771:, and 686:, and 612:, and 572:where 292:matrix 4348:Color 4327:Index 4267:Black 4257:White 4252:Brown 4217:Green 4119:Lists 4111:Names 4093:(CIE) 4062:Color 3922:Brown 3917:White 3907:Black 3877:Green 3696:Color 3392:Water 3348:Light 3319:Color 3180:S2CID 3075:S2CID 3002:(PDF) 2963:S2CID 2937:(PDF) 634:pixel 338:green 235:or a 231:, an 90:pixel 58:, or 4262:Gray 4247:Pink 4227:Blue 4222:Cyan 3912:Gray 3892:Pink 3872:Blue 3659:CMYK 3220:ISBN 3168:4300 3139:ISBN 2953:ISBN 2894:ISBN 2861:ISBN 2834:ISBN 2807:ISBN 2621:sRGB 1919:cone 1915:rods 808:sRGB 342:blue 340:and 197:Mars 75:film 38:and 4202:Red 3988:Hue 3882:Red 3647:RGB 3172:doi 3067:doi 3026:doi 2945:doi 2890:450 2623:or 2530:255 2490:255 2450:255 483:255 443:255 403:255 334:red 320:240 288:RGB 195:on 136:not 34:In 4344:: 3234:^ 3178:. 3162:. 3133:. 3119:^ 3096:. 3073:. 3051:^ 3024:. 3012:23 3010:. 3004:. 2961:. 2951:. 2939:. 2919:. 2915:. 2892:. 2332:, 2247:, 2177:, 1933:: 1540:, 1323:, 1238:, 1154:, 1087:, 741:, 661:, 592:, 348:. 239:. 215:. 158:, 154:, 54:, 42:, 3311:e 3304:t 3297:v 3228:. 3197:. 3174:: 3147:. 3098:1 3081:. 3069:: 3032:. 3028:: 2969:. 2947:: 2902:. 2869:. 2842:. 2815:. 2655:N 2651:N 2603:] 2592:B 2580:G 2568:R 2560:[ 2555:] 2543:w 2539:B 2534:/ 2525:0 2520:0 2513:0 2503:w 2499:G 2494:/ 2485:0 2478:0 2473:0 2463:w 2459:R 2454:/ 2443:[ 2439:= 2435:] 2428:B 2421:G 2414:R 2407:[ 2366:S 2341:M 2316:L 2290:w 2286:S 2260:w 2256:M 2230:w 2226:L 2205:S 2185:M 2165:L 2141:] 2130:S 2118:M 2106:L 2098:[ 2093:] 2081:w 2077:S 2072:/ 2068:1 2063:0 2058:0 2051:0 2041:w 2037:M 2032:/ 2028:1 2023:0 2016:0 2011:0 2001:w 1997:L 1992:/ 1988:1 1981:[ 1977:= 1973:] 1966:S 1959:M 1952:L 1945:[ 1889:] 1876:B 1871:L 1857:G 1852:L 1838:R 1833:L 1825:[ 1820:P 1815:] 1803:w 1799:Z 1794:/ 1788:w 1784:Z 1778:0 1773:0 1766:0 1756:w 1752:Y 1747:/ 1741:w 1737:Y 1731:0 1724:0 1719:0 1709:w 1705:X 1700:/ 1694:w 1690:X 1682:[ 1675:1 1668:P 1663:= 1659:] 1650:B 1646:L 1636:G 1632:L 1622:R 1618:L 1610:[ 1580:B 1576:L 1553:G 1549:L 1526:R 1522:L 1497:] 1488:B 1484:L 1474:G 1470:L 1460:R 1456:L 1448:[ 1443:P 1439:= 1435:] 1428:Z 1421:Y 1414:X 1407:[ 1382:P 1357:Z 1332:Y 1307:X 1281:w 1277:Z 1251:w 1247:Y 1221:w 1217:X 1194:w 1190:Z 1167:w 1163:Y 1140:w 1136:X 1115:Z 1095:Y 1075:X 1051:] 1040:Z 1028:Y 1016:X 1008:[ 1003:] 991:w 987:Z 982:/ 976:w 972:Z 966:0 961:0 954:0 944:w 940:Y 935:/ 929:w 925:Y 919:0 912:0 907:0 897:w 893:X 888:/ 882:w 878:X 870:[ 866:= 862:] 855:Z 848:Y 841:X 834:[ 784:w 780:B 754:w 750:G 724:w 720:R 695:B 670:G 645:R 620:B 600:G 580:R 556:] 545:B 533:G 521:R 513:[ 508:] 496:w 492:B 487:/ 478:0 473:0 466:0 456:w 452:G 447:/ 438:0 431:0 426:0 416:w 412:R 407:/ 396:[ 392:= 388:] 381:B 374:G 367:R 360:[ 317:= 314:R 23:.

Index

Color grading

photography
image processing
primary colors
color correction
film
image sensors
image editing
pixel
color correction filters

flesh tones

Clifton Beach
South Arm
Tasmania

ColorChecker


Mount Sharp (Aeolis Mons)
Mars

chromatic adaptation
gray card
Retinex
artificial neural network
Bayesian method
color cast

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