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Crane R. — A simplified approach to image processing. Classical and modern techniques in C
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Íàçâàíèå: A simplified approach to image processing. Classical and modern techniques in CÀâòîð: Crane R. Àííîòàöèÿ: Image processing, the use of computers to process pictures, has revolutionized the fields of medicine, space exploration, geology, and oceanography, and has become the hottest area in digital signal processing. This book provides a comprehensive introduction to the most popular image processing techniques used today, without getting bogged down in the complex mathematical presentations found in most image processing books and journals. The book covers the hottest topics in image proessing, including whole chapters on the processing of color images, image warping and morphing techniques, and image compression. The diskette, written in portable C code, provides a "hands-on" introduction to image processing techniques that can be incorporated into the user's applications. For computer programmers and electrical engineers who need to enhance image processing applications.
ßçûê: Ðóáðèêà: Computer science /Îáðàáîòêà èçîáðàæåíèé /Ñòàòóñ ïðåäìåòíîãî óêàçàòåëÿ: Ãîòîâ óêàçàòåëü ñ íîìåðàìè ñòðàíèö ed2k: ed2k stats Ãîä èçäàíèÿ: 1997Êîëè÷åñòâî ñòðàíèö: 317Äîáàâëåíà â êàòàëîã: 15.11.2005Îïåðàöèè: Ïîëîæèòü íà ïîëêó |
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Ïðåäìåòíûé óêàçàòåëü
Acquisition, digital image 24—25 Acuity, visual 12 Addition, image 3 42 144 Affine transformations 206—211 Alpha 144 Analog-to — Digital conversion 24 Analysis, image 6 ANDing, image 147 Applications of image processing 4—10 Area processes 1 2 67—109 Arithmetic operations 42—43 144—146 Average, image 148—152 B-spline interpolation 120—121 122—123 126 Bandpass filter 191 192 196 Bandstop filter 191 192 196 Barrel distortion 204 Bartlett window funtion 179 Baseline JPEG 268—269 Basis function 196 198 283 Bicubic interpolation 117—119 Bilinear interpolation 113—114 Bilinear transformation 212—223 Bit-clipping 62 64 Bitmapped graphics 31 Blackman window function 179 180 Blurring, image 74—76 Boolean operations 43 147 Brightness 10 Butterfly flow graph 186—187 Butterworth filter 191 193 194 195 196 Camera, filmless 29—30 Canny edge detector 108 Charge-coupled device (CCD) 25—27 Chrominance 269—270 273 Closing, image 107 Clustered dot dither matrices 162 CMY/CMYK, color space 16—17 Codebook 280—281 Color Space, CMY/CMYK 16—17 Color Space, HSI 17—19 Color Space, RGB 14—16 Color Space, YCrCb 19 22 Color, additive 14—16 17 Color, edge detection 94—95 Color, median filter 102—107 color, printing 33—37 Color, subtractive 16—17 Color, vision 11 colormap 31—32 Common gradient operator 86 Compass gradient operator 88—93 Compositing, image 4—5 144—147 152 Compression, image, arithmetic coding 264—267 Compression, image, compression ratio 246 247 248 251 268 Compression, image, fractal compression 281—283 Compression, image, Huffman coding 251—256 270 278 Compression, image, JPEG 267—280 Compression, image, lossless 246—247 268 Compression, image, lossy 246 268 Compression, image, LZW 262—264 Compression, image, modified Huffman coding 256—257 Compression, image, modified READ coding 257—262 Compression, image, run-length encoding 247—250 Compression, image, vector quantization 280—281 Compression, image, wavelet compression 283 Computer aided tomography (CAT) 6 cones 11 12 Conferences, image processing 288—289 Contouring 24 62 158 268 contrast 12 46 54 Contrast stretching 54—59 62 Control points 206 223—224 Convolution 67—74 76 Convolution mask 67—71 75 76 77 79 86 88 89 92 Cooley — Tukey 181 Crispening 77 Cross dissolve 243 244 Cubic convolution interpolation 117—119 Cutoff frequency 194 196 Difference of Gaussian (DoG) 91—93 Difference operator 80—84 Digital-to — Analog converter 32 Discrete cosine transform 196—199 269—270 272 Discrete Fourier Transform 178—180 181 Discrete wavelet transform 283 Dithering 158 161—164 168 Document Image Processing (DIP) 6 Dot gain 172 Dot loss 171—172 Edge detection, Canny 108 Edge detection, color 94—95 Edge detection, difference operator 80—84 Edge detection, Frei — Chen 86 Edge detection, homogeneity operator 80—84 Edge detection, Kirsch 89 Edge detection, Prewitt 86 89 Edge detection, Roberts 86 Edge detection, Robinson 89 Edge detection, Sobel 86 embossing 71 Ends-in-search 55—59 Entropy coding 269 272 Error diffusion 164 166—168 171 eye 10—11 268 Fant’s algorithm 230—234 Fast Fourier transform (FFT) 181—187 199 Fields-based warping 234—243 file formats 31 38—39 40—41 245 248—251 264 278 Film recorder 36—37 162 Filmless camera 29—30 Filter, bandpass 191 192 196 Filter, Bandstop 191 192 196 Filter, Floyd — Steinberg 166—167 Filter, Frequency domain 189—196 Filter, High-boost 78 Filter, Highpass 77—79 191 192 194—195 Filter, Lowpass 74—76 95 191 192—195 Filter, median 76 95—107 flatbed scanners 26—28 Floyd — Steinberg 166—167 Forward mapping 110—111 208 212 Fourier transform 173—178 180 Fourier, Jean Baptiste Joseph 173 Fractal compression 281—283 Frame grabber 30—31 Frame processes 1 3 144—152 Frei — Chen edge detector 86 Frequency domain 174—175 Frequency response 191 193 195 Gamma 60—61 Gaussian smoothing filter 76 Geometric processes 1 3 110—152 Geometric transformation, affine 206—211 Geometric transformation, bilinear 212—223 Geometric transformation, perspective 211—212 Gibb’s phenomenon 178—179 GIF file format 245 264 Graphics File Formats 31 38—39 40—41 245 248—251 264 278 Halftoning 33 153—172 Haming window funtion 179—180 Hanning window funtion 179 High-boost filter 78 Highpass filters 77—79 191 192 194—195 histogram 46—47 55 Histogram, equilization 47—49 Histogram, specification 49—54 Homers rule 117 120 Homogeneity operator 80—84 HSI color space 17—19 Hue 12 17—19 Huffman coding 251—256 270 278 Human visual system 10—12 153 268 Image 22 24 Image processing applications 4—10 Image Processing applications, resources 287—295 Image Processing applications, software 293—294 Infinite Impulse Response filters 67 95 Intensity 11—13 59 Intensity transformations 59—66 Interpolation 110 112—126 Interpolation, B-spline 120—121 Interpolation, bilinear 113—114 Interpolation, cubic convolution 117—120 Interpolation, nearest neighbor 112—113 Inverse mapping 111 208 212 Iso-intensity contouring 62 64 Jarvis, Judice and Ninke 167 Joint Bi — Level Image Experts Group (JBIG) 262 Joint Photographic Experts Group (JPEG) 267—280 Kirsch edge detector 89 Laplacian of Gaussian operator 90—91 Lempel Ziv Welch (LZW) 262—264 Lightness 12 Look up table (LUT) 31—32 42 44—46 Lossless coding 246—247 268 278—280 Lossy coding 246 268 Lowpass filter 74—76 95 191 192—194 Luminance 10 13 19 269—270 273—277 Mach band effect 13 14 Machine vision 9 145 MacPaint file format 248—250 Magellan spacecraft 4 Magnetic resonance imaging (MRI) 6 Magnetic source imaging (MSI) 6 Magnification 121 Makeup code 256 259 Mapping function 110—111 Mariner spacecraft 4 Maximum filter 107—108 Median Filter 76 95—107 Medical applications of image processing 6 8 Meshwarp algorithm 223—230 Minification 123 129 130—135 Minimum filter 107—108 Mirroring, horizontal 142 Mirroring, vertical 142 Modified Huffman coding 256—257 Modified READ coding 257—262 Moire patterns 155 Morphing 5 203—205 243—244 NASA 2 203 204 Nearest neighbor interpolation 112—113 Noise 75 95 145—146 148 Non-linear filters, alpha-trimmed mean 108—109 Non-linear filters, maximum 107—108 Non-linear filters, median 76 95—107 Non-linear filters, minimum 107—108 Opening, image 107 Optical character recognition (OCR) 6 Organizations, image processing 288—289 ORing, image 147 Orthographic tone scale creation 155 Parabola transformations 65—66 patterning 155—158 PBM 38—39 294 PCX file format 250—251 Periodicals, image processing 287—288 294 Perspective transformation 211—212 Photo CD 29—30 Photographic halftones 153—154 pincushion distortion 204 Pioneer spacecraft 4 Point processes 1 2 42—66 Positron emission tomography (PET) 6 Posterization 24 61—62 281 prefix property 252 Prewitt edge detector 86 89 printers 32—37 171—172 Products, image processing 294—295 Q factor 268 270 Quantization, image 24—25 Quantization, vector 280—281 Range highlighting 62 65 Ranger spacecraft 4 Red, green, blue (RGB) color space 14—16 Remote sensing 9 Resolution, intensity 24—25 Resolution, spatial 24 Restoration, image 202 Reverse mapping 111 208 212 Roberts edge detector 86 Robinson edge detector 89 Rods 11 12 Rotation, image 136—140 Run-length encoding 247—251 Rylander’s recursive patterning matrix 156—157 Sampling 24 Saturation 12 Scaling, image 121 123—128 171 Scanners 26—29 171 Segmentation 79 Sharpening, image 77—79 171 Simultaneous contrast 12—13 Slide scanner 28 Smythe, Douglas 223 Sobel edge detection 86 Software 38—39 293—295 Solarization, image 2 65 space exploration 4 203 204 Spatial frequency 173 Spectrum, image 188—189 Stucki 167 Subtraction, image 144—146 Surveyor spacecraft 4 Symmetrical algorithms 268 terminating codes 256 258 Thresholding 61 83—84 Transformation, affine 206—211 Transformation, bilinear 212—223 Transformation, perspective 211—212 Translation 111 140—141 transmissive scanners 28 Two-pass algorithms 223 Unsharp masking 78 Variable-length code (VLC) 271—272 Variable-length integer (VLI) 271—272 Vector graphics 31 Vector quantization 280—281 Viking spacecraft 4 Volume visualization 1 Voyager spacecraft 4 Warping 5—6 203 206—243 Windowing functions 179—181 X-ray 6 8 YCrCb 19 22 269 YIQ 13 Zero-crossing detection 88 90 Zero-padding 68 182 Zoom 121
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