Knowledge (XXG)

Deblurring

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115: 25: 370: 315:"Modeling of terahertz images based on x-ray images: a novel approach for verification of terahertz images and identification of objects with fine details beyond terahertz resolution" 411: 182: 234:. In addition the blurred image contains additional noise which complicates the task of determining the original image. This is generally solved by the use of a 35: 230:. In almost all cases, there is insufficient information in the blurred image to uniquely determine a plausible original image, making it an 404: 435: 397: 50: 114: 93: 293: 65: 72: 430: 319:
Proc. SPIE 9856, Terahertz Physics, Devices, and Systems X: Advanced Applications in Industry and Defense, 985610
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is the process of removing blurring artifacts from images. Deblurring recovers a sharp image
334: 321:. Terahertz Physics, Devices, and Systems X: Advanced Applications in Industry and Defense. 283: 242:
in the signal processing domain. Nevertheless, when coherent beam is used for imaging, the
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Ahi, Kiarash (26 May 2016). Anwar, Mehdi F; Crowe, Thomas W; Manzur, Tariq (eds.).
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term to attempt to eliminate implausible solutions. This problem is analogous to
185: 24: 278: 207: 369: 338: 113: 42: 18: 222:(which is to be recovered) and the point spread function 385: 46: 158: 176: 16:Process of removing blurring artifacts from images 265:can be deblurred (unblur) and the sharp image 405: 152:. Mathematically, this can be represented as 8: 51:introducing citations to additional sources 412: 398: 246:can be modeled mathematically. By proper 191:While this process is sometimes known as 157: 41:Relevant discussion may be found on the 305: 226:are unknown. This is an example of an 7: 366: 364: 202:The blur K is typically modeled as 384:. You can help Knowledge (XXG) by 14: 368: 210:with a hypothetical sharp image 199:is the correct technical word. 34:relies largely or entirely on a 23: 1: 294:Modulation transfer function 452: 363: 118:Deblurring an image using 436:Signal processing stubs 380:-related article is a 257:and the blurred image 178: 122: 252:point spread function 244:point spread function 204:point spread function 179: 177:{\displaystyle B=S*K} 132:from a blurred image 117: 261:, the blurred image 184:(where * represents 156: 120:Wiener deconvolution 47:improve this article 331:2016SPIE.9856E..10A 289:Blind deconvolution 339:10.1117/12.2228685 269:can be recovered. 174: 140:is convolved with 123: 393: 392: 378:signal processing 232:ill-posed problem 218:, where both the 112: 111: 97: 443: 431:Image processing 414: 407: 400: 372: 365: 358: 357: 355: 353: 310: 284:Super-resolution 183: 181: 180: 175: 107: 104: 98: 96: 55: 27: 19: 451: 450: 446: 445: 444: 442: 441: 440: 421: 420: 419: 418: 362: 361: 351: 349: 312: 311: 307: 302: 275: 228:inverse problem 154: 153: 108: 102: 99: 56: 54: 40: 28: 17: 12: 11: 5: 449: 447: 439: 438: 433: 423: 422: 417: 416: 409: 402: 394: 391: 390: 373: 360: 359: 304: 303: 301: 298: 297: 296: 291: 286: 281: 274: 271: 236:regularization 173: 170: 167: 164: 161: 148:) to generate 110: 109: 45:. Please help 31: 29: 22: 15: 13: 10: 9: 6: 4: 3: 2: 448: 437: 434: 432: 429: 428: 426: 415: 410: 408: 403: 401: 396: 395: 389: 387: 383: 379: 374: 371: 367: 348: 344: 340: 336: 332: 328: 324: 320: 316: 309: 306: 299: 295: 292: 290: 287: 285: 282: 280: 277: 276: 272: 270: 268: 264: 260: 256: 253: 249: 248:deconvolution 245: 241: 237: 233: 229: 225: 221: 217: 213: 209: 205: 200: 198: 194: 189: 187: 171: 168: 165: 162: 159: 151: 147: 143: 139: 135: 131: 127: 121: 116: 106: 103:November 2019 95: 92: 88: 85: 81: 78: 74: 71: 67: 64: –  63: 59: 58:Find sources: 52: 48: 44: 38: 37: 36:single source 32:This article 30: 26: 21: 20: 386:expanding it 375: 350:. Retrieved 322: 318: 308: 266: 262: 258: 254: 240:echo removal 223: 219: 215: 211: 201: 196: 192: 190: 149: 141: 137: 133: 129: 125: 124: 100: 90: 83: 76: 69: 62:"Deblurring" 57: 33: 186:convolution 425:Categories 325:: 985610. 300:References 197:deblurring 193:unblurring 144:(the blur 126:Deblurring 73:newspapers 347:124315172 279:Denoising 208:convolved 169:∗ 43:talk page 273:See also 136:, where 327:Bibcode 250:of the 214:to get 206:and is 87:scholar 352:26 May 345:  146:kernel 89:  82:  75:  68:  60:  376:This 343:S2CID 94:JSTOR 80:books 382:stub 354:2016 323:9856 188:). 66:news 335:doi 49:by 427:: 341:. 333:. 317:. 195:, 413:e 406:t 399:v 388:. 356:. 337:: 329:: 267:S 263:B 259:B 255:K 224:K 220:S 216:B 212:S 172:K 166:S 163:= 160:B 150:B 142:K 138:S 134:B 130:S 105:) 101:( 91:· 84:· 77:· 70:· 53:. 39:.

Index


single source
talk page
improve this article
introducing citations to additional sources
"Deblurring"
news
newspapers
books
scholar
JSTOR

Wiener deconvolution
kernel
convolution
point spread function
convolved
inverse problem
ill-posed problem
regularization
echo removal
point spread function
deconvolution
point spread function
Denoising
Super-resolution
Blind deconvolution
Modulation transfer function
"Modeling of terahertz images based on x-ray images: a novel approach for verification of terahertz images and identification of objects with fine details beyond terahertz resolution"
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