Digital Holography and Digital Image Processing: Principles, Methods, AlgorithmsDigital holography and digital image processing are twins born by computer era. They share origin, theoretical base, methods and algorithms. The present book describes these common fundamentals principles, methods and algorithms including image and hologram digitization, data compression, digital transforms and efficient computational algorithms, statistical and Monte-Carlo methods, image restoration and enhancement, image reconstruction in tomography and digital holography, discrete signal resampling and image geometrical transformations, accurate measurements and reliable target localization in images, recording and reconstruction of computer generated holograms, adaptive and nonlinear filters for sensor signal perfecting and image restoration and enhancement. The book combines theory, heavily illustrated practical methods and efficient computational algorithms and is written for senior-level undergraduate and graduate students, researchers and engineers in optics, photonics, opto-electronics and electronic engineering. |
Contents
I | 1 |
II | 5 |
III | 11 |
IV | 13 |
V | 17 |
VI | 22 |
VII | 24 |
VIII | 27 |
LXXXII | 312 |
LXXXIII | 313 |
LXXXIV | 315 |
LXXXV | 317 |
LXXXVI | 323 |
LXXXVII | 328 |
LXXXVIII | 330 |
LXXXIX | 334 |
IX | 30 |
X | 39 |
XII | 44 |
XIII | 49 |
XIV | 53 |
XV | 57 |
XVI | 61 |
XVII | 63 |
XVIII | 64 |
XIX | 67 |
XXI | 72 |
XXII | 77 |
XXIII | 79 |
XXIV | 80 |
XXV | 81 |
XXVI | 85 |
XXVII | 92 |
XXVIII | 94 |
XXIX | 97 |
XXX | 103 |
XXXI | 106 |
XXXIII | 113 |
XXXIV | 120 |
XXXV | 124 |
XXXVI | 129 |
XXXVII | 131 |
XXXVIII | 133 |
XXXIX | 143 |
XL | 147 |
XLI | 152 |
XLII | 161 |
XLIII | 170 |
XLV | 175 |
XLVI | 189 |
XLVII | 195 |
XLVIII | 199 |
XLIX | 205 |
L | 209 |
LI | 211 |
LII | 213 |
LIII | 220 |
LIV | 223 |
LV | 226 |
LVI | 227 |
LVII | 231 |
LIX | 234 |
LX | 237 |
LXI | 239 |
LXII | 243 |
LXIII | 249 |
LXIV | 250 |
LXV | 252 |
LXVI | 254 |
LXVII | 255 |
LXVIII | 260 |
LXIX | 264 |
LXX | 269 |
LXXI | 274 |
LXXII | 275 |
LXXIII | 280 |
LXXIV | 284 |
LXXV | 291 |
LXXVI | 292 |
LXXVII | 297 |
LXXVIII | 300 |
LXXIX | 305 |
LXXX | 306 |
LXXXI | 307 |
XC | 340 |
XCI | 343 |
XCII | 348 |
XCIII | 353 |
XCIV | 361 |
XCV | 362 |
XCVI | 367 |
XCVII | 369 |
XCVIII | 371 |
XCIX | 373 |
C | 376 |
CI | 380 |
CIII | 382 |
CIV | 386 |
CV | 388 |
CVI | 395 |
CVII | 398 |
CVIII | 400 |
CIX | 403 |
CX | 407 |
CXI | 410 |
CXII | 411 |
CXIII | 414 |
CXV | 417 |
CXVI | 419 |
CXVII | 421 |
CXVIII | 431 |
CXIX | 436 |
CXX | 439 |
CXXI | 443 |
CXXII | 445 |
CXXIII | 449 |
CXXIV | 451 |
CXXV | 452 |
CXXVI | 454 |
CXXVII | 459 |
CXXVIII | 461 |
CXXIX | 465 |
CXXX | 469 |
CXXXI | 474 |
CXXXII | 478 |
CXXXIII | 483 |
CXXXIV | 485 |
CXXXV | 490 |
CXXXVI | 493 |
CXXXVII | 499 |
CXXXIX | 501 |
CXL | 507 |
CXLI | 509 |
CXLII | 510 |
CXLIII | 511 |
CXLIV | 512 |
CXLV | 515 |
CXLVI | 519 |
CXLVII | 522 |
CXLVIII | 523 |
CXLIX | 524 |
CL | 527 |
CLII | 531 |
CLIII | 535 |
CLIV | 538 |
CLV | 540 |
CLVI | 541 |
CLVII | 548 |
CLVIII | 565 |
575 | |
Other editions - View all
Digital Holography and Digital Image Processing: Principles, Methods, Algorithms Leonid Yaroslavsky No preview available - 2010 |
Digital Holography and Digital Image Processing: Principles, Methods, Algorithms Leonid Yaroslavsky No preview available - 2013 |
Common terms and phrases
â₁ algorithm amplitude array basis functions binary coding computational complexity continuous signals convolution coordinates correlation function corresponding DCST defined described in Sect digital holography digital signal Discrete Fourier Transform discrete representation discrete signal discrete sinc-interpolation distortions distribution dynamic range encoding ensemble estimation Figure Flow diagram frequency response Fresnel transform Gaussian histogram equalization image processing image reconstruction imaging system implementation impulse noise input image interpolation inverse kernel linear transformation matched filter matrix method neighborhood non-target objects nonlinear obtained operations optical optimal adaptive correlator orthogonal parameter phase pixels plane point spread function power spectrum pseudo-random numbers quantization levels random recursive resampling scalar sensor shift shown in Fig signal a(x signal discretization signal reconstruction signal samples sliding window spatial speckle noise spectra standard deviation statistical target object transform domain values vector wave front wavelet Wiener filter Yaroslavsky zero