
Introduction to Color Imaging Science
Hardcover | 18 April 2005
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716 Pages
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| Preface | p. xix |
| Introduction | p. 1 |
| What is color imaging science? | p. 1 |
| Overview of the book | p. 2 |
| Measurement of light and color | p. 2 |
| Optical image formation | p. 3 |
| In the eye of the beholder | p. 4 |
| Tools for color imaging | p. 5 |
| Color image acquisition and display | p. 5 |
| Image quality and image processing | p. 6 |
| The International System of Units (SI) | p. 6 |
| General bibliography and guide to the literatures | p. 8 |
| Problems | p. 12 |
| Light | p. 13 |
| What is light? | p. 13 |
| Wave trains of finite length | p. 15 |
| Coherence | p. 15 |
| Temporal coherence | p. 16 |
| Spatial coherence | p. 17 |
| Polarization | p. 20 |
| Representations of polarization | p. 20 |
| Stokes parameters | p. 23 |
| The Mueller matrix | p. 26 |
| The interference of polarized light | p. 28 |
| Problems | p. 28 |
| Radiometry | p. 29 |
| Concepts and definitions | p. 29 |
| Spectral radiometry | p. 39 |
| The International Lighting Vocabulary | p. 40 |
| Radiance theorem | p. 40 |
| Integrating cavities | p. 42 |
| Blackbody radiation | p. 43 |
| Planck's radiation law | p. 44 |
| Blackbody chromaticity loci of narrow-band systems | p. 46 |
| Problems | p. 47 |
| Photometry | p. 49 |
| Brightness matching and photometry | p. 49 |
| The spectral luminous efficiency functions | p. 52 |
| Photometric quantities | p. 54 |
| Photometry in imaging applications | p. 58 |
| Exposure value (EV) | p. 59 |
| Guide number | p. 59 |
| Additive system of photographic exposure (APEX) | p. 61 |
| Problems | p. 62 |
| Light-matter interaction | p. 63 |
| Light, energy, and electromagnetic waves | p. 63 |
| Physical properties of matter | p. 64 |
| Light and matter | p. 66 |
| Optical properties of matter | p. 67 |
| Light wave propagation in media | p. 69 |
| Optical dispersion in matter | p. 72 |
| Quantum mechanics and optical dispersion | p. 76 |
| Light propagation across material boundaries | p. 76 |
| Reflection and refraction | p. 77 |
| Scattering | p. 81 |
| Transmission and absorption | p. 83 |
| Diffraction | p. 84 |
| Problems | p. 87 |
| Colorimetry | p. 89 |
| Colorimetry and its empirical foundations | p. 89 |
| The receptor-level theory of color matching | p. 90 |
| Color matching experiments | p. 93 |
| Transformation between two sets of primaries | p. 95 |
| The CIE 1931 Standard Colorimetric Observer (2[degree]) | p. 97 |
| The CIE 1964 Supplementary Standard Colorimetric Observer (10[degree]) | p. 102 |
| Calculation of tristimulus values | p. 104 |
| Some mathematical relations of colorimetric quantities | p. 104 |
| Cautions on the use of colorimetric data | p. 106 |
| Color differences and uniform color spaces | p. 107 |
| CIE 1976 UCS diagram | p. 109 |
| CIELUV color space | p. 110 |
| CIELAB color space | p. 111 |
| The CIE 1994 color-difference model (CIE94) | p. 113 |
| CIE2000 color-difference formula: CIEDE2000 | p. 113 |
| CIE terms | p. 115 |
| The CIE standard light sources and illuminants | p. 116 |
| Illuminating and viewing conditions | p. 119 |
| The vector space formulation of color calculations | p. 121 |
| Applications of colorimetry | p. 124 |
| The NTSC color signals | p. 124 |
| Computer graphics | p. 126 |
| Digital color image processing | p. 127 |
| Default color space for electronic imaging: sRGB | p. 128 |
| Problems | p. 130 |
| Light sources | p. 132 |
| Natural sources | p. 132 |
| Sunlight and skylight | p. 132 |
| Moonlight | p. 135 |
| Starlight | p. 136 |
| Artificial sources: lamps | p. 137 |
| Incandescent lamps | p. 137 |
| Fluorescent lamps | p. 139 |
| Electronic flash lamps | p. 140 |
| Mercury lamps, sodium lamps, and metal halide lamps | p. 141 |
| Light-emitting diodes (LEDs) | p. 141 |
| Color-rendering index | p. 142 |
| Problems | p. 144 |
| Scene physics | p. 145 |
| Introduction | p. 145 |
| General description of light reflection | p. 145 |
| The bidirectional reflectance distribution function (BRDF) | p. 147 |
| Interface reflection | p. 150 |
| Body reflection | p. 158 |
| Empirical surface reflection models | p. 160 |
| Radiative transfer theory and colorant formulation | p. 164 |
| Transparent media | p. 164 |
| Turbid media | p. 167 |
| Causes of color | p. 173 |
| Selective absorption | p. 174 |
| Scattering | p. 175 |
| Interference | p. 175 |
| Dispersion | p. 175 |
| Common materials | p. 175 |
| Water | p. 175 |
| Metals | p. 176 |
| Minerals | p. 176 |
| Ceramics and cements | p. 176 |
| Glass | p. 178 |
| Polymers | p. 178 |
| Plants | p. 179 |
| Animals | p. 180 |
| Humans | p. 181 |
| Pigments and dyes | p. 185 |
| Paints | p. 186 |
| Paper | p. 187 |
| Printing inks | p. 188 |
| Statistics of natural scenes | p. 190 |
| Colors tend to integrate to gray | p. 190 |
| Log luminance range is normally distributed | p. 191 |
| Log radiances tend to be normally distributed | p. 191 |
| Color variations span a low-diemsional space | p. 191 |
| Power spectra tend to fall off as (1/f)[superscript n] | p. 191 |
| Problems | p. 192 |
| Optical image formation | p. 193 |
| Geometrical and physical optics | p. 193 |
| The basis of geometrical optics | p. 194 |
| Projective geometry | p. 196 |
| The geometrical theory of optical imaging | p. 199 |
| Conventions and terminology in optical imaging | p. 204 |
| Refraction at a spherical surface | p. 206 |
| On-axis imaging by a spherical surface | p. 209 |
| Off-axis imaging by a spherical surface | p. 211 |
| Matrix method for paraxial ray tracing | p. 211 |
| Matrix description of Gaussian optical imaging systems | p. 219 |
| Generalized ray tracing | p. 221 |
| Physical optics | p. 222 |
| Scalar and vector theories of diffraction | p. 223 |
| The field impulse response of an imaging system | p. 226 |
| The optical transfer function (OTF) | p. 229 |
| Problems | p. 231 |
| Lens aberrations and image irradiance | p. 234 |
| Introduction | p. 234 |
| Radiometry of imaging | p. 235 |
| On-axis image irradiances | p. 237 |
| Off-axis image irradiances | p. 238 |
| General image irradiances | p. 238 |
| Light distribution due to lens aberrations | p. 239 |
| Monochromatic aberrations | p. 239 |
| Depth of field | p. 252 |
| Sine condition | p. 256 |
| Chromatic aberration | p. 257 |
| Optical blur introduced by the camera | p. 258 |
| The real lens | p. 258 |
| The diaphragm | p. 260 |
| The shutter | p. 260 |
| Effects of object motion | p. 263 |
| Camera flare | p. 267 |
| Problems | p. 269 |
| Eye optics | p. 271 |
| Anatomy of the eye | p. 271 |
| Reduced eye and schematic eyes | p. 274 |
| Conversion between retinal distance and visual angle | p. 278 |
| Retinal illuminance | p. 279 |
| Depth of focus and depth of field | p. 279 |
| Focus error due to accommodation | p. 280 |
| Pupil size | p. 282 |
| Stiles-Crawford effect | p. 282 |
| Visual acuity | p. 283 |
| Measurements and empirical formulas of the eye MTF | p. 284 |
| Method of eye MTF calculation by van Meeteren | p. 286 |
| Problems | p. 288 |
| From retina to brain | p. 289 |
| The human visual system | p. 290 |
| The concepts of receptive field and channel | p. 292 |
| Parallel pathways and functional segregation | p. 294 |
| The retina | p. 294 |
| Photoreceptors: rods and cones | p. 297 |
| Horizontal cells | p. 305 |
| Bipolar cells | p. 305 |
| Amacrine cells | p. 307 |
| Ganglion cells | p. 307 |
| Lateral geniculate nucleus (LGN) | p. 309 |
| Color-opponent encoding | p. 310 |
| Visual areas in the human brain | p. 312 |
| Primary visual cortex | p. 313 |
| Other cortical areas | p. 316 |
| Visual perception and the parallel neural pathways | p. 317 |
| Problems | p. 319 |
| Visual psychophysics | p. 321 |
| Psychophysical measurements | p. 322 |
| Measurement scales | p. 322 |
| Psychometric methods | p. 323 |
| Data interpretation | p. 324 |
| Visual thresholds | p. 326 |
| Absolute thresholds | p. 327 |
| Contrast thresholds | p. 327 |
| Contrast sensitivity functions (CSFs) | p. 329 |
| Photochromatic interval | p. 334 |
| Thresholds of visual blur | p. 334 |
| Visual adaptation | p. 334 |
| Achromatic adaptation | p. 334 |
| Chromatic adaptation | p. 335 |
| Eye movements and visual perception | p. 337 |
| Perception of brightness and lightness | p. 341 |
| Brightness perception of a uniform visual field (ganzfeld) | p. 342 |
| Brightness perception of an isolated finite uniform area | p. 343 |
| Brightness perception of two adjacent uniform areas | p. 345 |
| Brightness and lightness perception depends on the perceived spatial layout | p. 347 |
| Trichromatic and opponent-process theories | p. 347 |
| Some visual phenomena | p. 349 |
| Brilliance as a separate perceptual attribute | p. 349 |
| Simultaneous perception of illumination and objects | p. 351 |
| Afterimages | p. 351 |
| The Mach band | p. 352 |
| The Chevreul effect | p. 353 |
| Hermann-Hering grids | p. 353 |
| The Craik-O'Brien-Cornsweet effect | p. 354 |
| Simultaneous contrast and successive contrast | p. 354 |
| Assimilation | p. 355 |
| Subjective (illusory) contours | p. 355 |
| The Bezold-Br&:ucke effect | p. 356 |
| The Helmholtz-Kohlrausch effect | p. 356 |
| The Abney effect | p. 356 |
| The McCollough effect | p. 357 |
| The Stiles-Crawford effect | p. 357 |
| Small field tritanopia | p. 357 |
| The oblique effect | p. 357 |
| Problems | p. 357 |
| Color order systems | p. 359 |
| Introduction | p. 359 |
| The Ostwald system | p. 360 |
| The Ostwald color order system | p. 361 |
| The Ostwald color atlas | p. 362 |
| The Munsell system | p. 362 |
| The Munsell color order system | p. 362 |
| The Munsell color atlas | p. 363 |
| The NCS | p. 365 |
| The NCS color order system | p. 365 |
| The NCS color atlas | p. 366 |
| The Optical Society of America (OSA) color system | p. 366 |
| The OSA color order system | p. 366 |
| The OSA color atlas | p. 367 |
| Color harmony | p. 367 |
| Problems | p. 368 |
| Color measurement | p. 369 |
| Spectral measurements | p. 369 |
| Spectroradiometer | p. 369 |
| Spectrophotometer | p. 371 |
| Factors to consider | p. 371 |
| Gonioreflectometers | p. 372 |
| Measurements with colorimetric filters | p. 373 |
| Computation of tristimulus values from spectral data | p. 374 |
| Density measurements | p. 374 |
| Reflection density, D[subscript rho] and D[subscript R] | p. 376 |
| Transmission density | p. 378 |
| Error analysis in calibration measurements | p. 381 |
| Error estimation | p. 381 |
| Propagation of errors | p. 382 |
| Expression of measurement uncertainty | p. 384 |
| Problems | p. 385 |
| Device calibration | p. 387 |
| Colorimetric calibration | p. 388 |
| Input calibration | p. 388 |
| Output calibration | p. 390 |
| Device model versus lookup tables | p. 392 |
| Computational tools for calibration | p. 394 |
| Interpolation | p. 395 |
| Tetrahedral interpolation | p. 401 |
| Regression and approximation | p. 403 |
| Constrained optimization | p. 406 |
| Spatial calibration | p. 410 |
| Resolution calibration | p. 411 |
| Line fitting on a digital image | p. 413 |
| Problems | p. 414 |
| Tone reproduction | p. 415 |
| Introduction | p. 415 |
| TRCs | p. 417 |
| The concept of reference white | p. 419 |
| Experimental studies of tone reproduction | p. 420 |
| Best tone reproduction depends on scene contents | p. 422 |
| Best tone reproduction depends on luminance levels | p. 423 |
| Best tone reproduction depends on viewing surrounds | p. 423 |
| Best tone reproduction renders good black | p. 424 |
| Tone reproduction criteria | p. 425 |
| Reproducing relative luminance | p. 426 |
| Reproducing relative brightness | p. 427 |
| Reproducing visual contrast | p. 428 |
| Reproducing maximum visible details | p. 429 |
| Preferred tone reproduction | p. 431 |
| Density balance in tone reproduction | p. 431 |
| Tone reproduction processes | p. 432 |
| Flare correction | p. 437 |
| Gamma correction | p. 438 |
| Problems | p. 440 |
| Color reproduction | p. 442 |
| Introduction | p. 442 |
| Additive and subtractive color reproduction | p. 442 |
| Objectives of color reproduction | p. 443 |
| Appearance color reproduction | p. 444 |
| Preferred color reproduction | p. 444 |
| Psychophysical considerations | p. 446 |
| The effect of the adaptation state | p. 446 |
| The effect of viewing surrounds | p. 449 |
| The effect of the method of presentation | p. 450 |
| Color balance | p. 450 |
| Problem formulations | p. 451 |
| Color cues | p. 453 |
| Color balance algorithms | p. 454 |
| Color appearance models | p. 459 |
| Color appearance attributes | p. 460 |
| Descriptions of the stimuli and the visual field | p. 461 |
| CIECAM97s | p. 461 |
| CIECAM02 and revision of CIECAM97s | p. 465 |
| Theoretical color gamut | p. 468 |
| Color gamut mapping | p. 470 |
| Selection of color space and metrics | p. 471 |
| Computing the device color gamut | p. 472 |
| Image-independent methods for color gamut mapping | p. 472 |
| Using more than three color channels | p. 474 |
| Color management systems | p. 474 |
| Problems | p. 476 |
| Color image acquisition | p. 477 |
| General considerations for system design and evaluation | p. 477 |
| Considerations for input spectral responsivities | p. 478 |
| Calibration, linearity, signal shaping, and quantization | p. 479 |
| Dynamic range and signal-to-noise ratio | p. 479 |
| Photographic films | p. 480 |
| The structure of a black-and-white film | p. 480 |
| The latent image | p. 481 |
| Film processing | p. 481 |
| Color photography | p. 482 |
| Subtractive color reproduction in photography | p. 483 |
| Color masking | p. 484 |
| Sensitometry and densitometry | p. 485 |
| Color images digitized from photographic films | p. 486 |
| The effective exposure MTF approach | p. 487 |
| The nonlinear model approach | p. 488 |
| Interimage effects | p. 491 |
| Film calibration | p. 492 |
| Solid-state sensors and CCD cameras | p. 494 |
| CCD devices | p. 495 |
| CCD sensor architectures | p. 495 |
| CCD noise characteristics | p. 497 |
| CMOS sensors | p. 502 |
| Exposure control for CCD and CMOS sensors | p. 503 |
| CCD/CMOS camera systems | p. 504 |
| CCD/CMOS camera calibrations | p. 507 |
| Scanners | p. 512 |
| Scanner performance and calibration | p. 515 |
| A worked example of 3 x 3 color correction matrix | p. 515 |
| Problems | p. 521 |
| Color image display | p. 523 |
| CRT monitors | p. 523 |
| Cathode current as a function of drive voltage | p. 525 |
| Conversion of electron motion energy into light | p. 526 |
| CRT phosphors and cathodoluminescence | p. 527 |
| CRT tone transfer curve | p. 528 |
| CRT colorimetry | p. 529 |
| LCDs | p. 532 |
| Properties of liquid crystals | p. 532 |
| The structures of LCDs and how they work | p. 532 |
| LCD calibration | p. 536 |
| PDPs | p. 537 |
| Electroluminescent displays | p. 539 |
| OLED and PLED | p. 539 |
| Printing technologies | p. 540 |
| Offset lithography | p. 541 |
| Letterpress | p. 542 |
| Gravure | p. 542 |
| Screen printing | p. 543 |
| Silver halide photography | p. 543 |
| Electrophotography (xerography) | p. 545 |
| Inkjet printing | p. 546 |
| Thermal printing | p. 547 |
| Half-toning | p. 548 |
| Photomechanical half-tone screens and screen angles | p. 548 |
| Screen ruling, addressability, resolution, and gray levels | p. 549 |
| Digital half-toning | p. 550 |
| Printer calibration | p. 557 |
| Calibration of RGB printers | p. 558 |
| Four-color printing | p. 560 |
| Problems | p. 562 |
| Image quality | p. 564 |
| Objective image quality evaluation | p. 564 |
| Detector efficiency | p. 565 |
| Spatial frequency analysis | p. 565 |
| Image noise | p. 567 |
| Subjective image quality evaluation | p. 571 |
| Contrast | p. 572 |
| Sharpness | p. 573 |
| Graininess and noise perception | p. 574 |
| Tonal reproduction | p. 575 |
| Color reproduction | p. 576 |
| Combined effects of different image attributes | p. 577 |
| Multi-dimensional modeling of image quality | p. 578 |
| Photographic space sampling | p. 579 |
| Factors to be considered in image quality evaluation | p. 580 |
| Observer screening | p. 581 |
| Planning of experiments | p. 581 |
| Image fidelity and difference evaluation | p. 582 |
| Perceptible color differences | p. 583 |
| Visible difference prediction | p. 583 |
| Problems | p. 584 |
| Basic concepts in color image processing | p. 585 |
| General considerations | p. 585 |
| Color spaces and signal representations | p. 587 |
| Signal characteristics | p. 588 |
| Noise statistics | p. 590 |
| System constraints | p. 591 |
| Color image segmentation | p. 591 |
| Color space for image segmentation | p. 592 |
| Comparison of linear and logarithmic spaces | p. 593 |
| Method for partitioning the color space | p. 597 |
| The distance metric | p. 598 |
| Color gradient | p. 600 |
| Color edge detection | p. 601 |
| Derivative of a color image | p. 602 |
| Statistics of noise in a boundary detector | p. 603 |
| Detection of a step boundary | p. 606 |
| Statistics of directional data | p. 608 |
| Representation and descriptive measures | p. 608 |
| Model distributions for directional data | p. 609 |
| Denoising | p. 611 |
| Extended tables | p. 614 |
| CIE 1931 color matching functions and corresponding chromaticities | p. 614 |
| CIE 1964 10-degree color matching functions | p. 616 |
| Cone fundamentals | p. 618 |
| Judd's modified V[subscript M]([lambda]) (CIE 1988) and scotopic V'([lambda]) (CIE 1951) | p. 619 |
| Standard illuminants | p. 620 |
| CIE daylight vectors | p. 622 |
| Pointer's gamut of real surfaces | p. 623 |
| Glossary | p. 625 |
| References | p. 635 |
| Index | p. 689 |
| Table of Contents provided by Ingram. All Rights Reserved. |
ISBN: 9780521843881
ISBN-10: 052184388X
Published: 18th April 2005
Format: Hardcover
Language: English
Number of Pages: 716
Audience: Professional and Scholarly
Publisher: Cambridge University Press
Country of Publication: GB
Dimensions (cm): 25.4 x 17.78 x 3.81
Weight (kg): 1.65
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