Digital Pictures: Representation and Compression - Tapa blanda

Sinopsis

1. Numerical Representation of Visual Information.- 1.1 Visual Information.- 1.2 Representation by a Finite Amount of Data.- 1.3 Spatial Sampling Representation.- 1.4 Raster Scan.- 1.5 Fourier-Frequency Domain.- 1.5.1 Fourier Series.- 1.5.2 Bandlimited Images-Sampling Theorem.- 1.5.3 Frequency Domain Filtering.- 1.5.4 Frequency Spectrum of the Samples Image.- 1.5.5 Frequency Spectra of Raster Scanned Images.- 1.5.6 Discrete Fourier Transform (DFT).- 1.6 Time Varying Images.- 1.7 Quantization and Binary Word Assignment-PCM.- 1.8 Color Images.- 1.8.1 Representation of Color for Human Vision.- 1.8.2 Color Coordinate Systems and Transformations.- 1.8.2a CIE System of Color Specification.- 1.8.2b Color Mixtures.- 1.8.2c Color Transformations.- 1.9 Graphics.- 1.9.1 Scanning and Resolution.- 1.9.1a Character Legibility.- 1.9.2 Amplitude Quantization.- 1.9.2a Global Threshold Selection.- 1.9.2b Local Threshold Selection.- 1.9.3 Multilevel Pictures on Two-Level Display.- 1.9.3a Ordered Dither.- 1.9.3b Error Diffusion Technique.- References.- 2. Common Picture Communication Systems.- 2.1 Monochrome Television.- 2.2 Color Television.- 2.2.1 NTSC.- 2.2.2 PAL.- 2.2.3 SECAM.- 2.2.4 Standards Conversion.- 2.2.5 Component Digitization.- 2.3 Videoconferencing.- 2.4 Videotelephone.- 2.5 High Definition Television (HDTV).- 2.6 Graphics.- 2.6.1 Facsimile Systems.- 2.7 Interactive Picture Communication Systems.- 2.8 Earth Resources Imagery.- References.- 3. Redundancy-Statistics-Models.- 3.1 Redundancy in the Sampled Data-Information Theory.- 3.1.1 Huffman Codes.- 3.1.2 Block Coding.- 3.1.3 Conditional Coding.- 3.1.4 State-Space Conditional Coding.- 3.1.5 Universal Coding.- 3.1.6 Predictive Coding.- 3.1.7 Discrete Transform Coding.- 3.1.8 Coding with Approximation-Rate Distortion Theory.- 3.2 Monochrome Luminance Statistics.- 3.2.1 First Order Statistics.- 3.2.2 Block Statistics of Single, Still Pictures.- 3.2.3 Second Order Statistics of Single, Still Pictures.- 3.2.4 Differential Signal Statistics of Single, Still Pictures.- 3.2.5 Temporal Luminance Statistics.- 3.2.6 Discrete Transform Statistics.- 3.2.7 Statistical Models and Parameters.- 3.2.7a Gaussian Model.- 3.2.7b Correlation Models.- 3.2.7c Uniform Model.- 3.2.7d Laplacian Model.- 3.2.7e Autoregressive Models.- 3.2.7f Object Based Models.- 3.3 Color Picture Statistics.- 3.4 Statistics of Graphical Signals.- 3.4.1 Nth Order Markov.- 3.4.2 Run-Length Model.- 3.4.3 Block Models.- References.- 4. Visual Psychophysics.- 4.1 Subjective Testing.- 4.1.1 Category-Judgment Methods.- 4.1.2 Comparison Methods.- 4.1.3 Waveform Testing.- 4.1.4 Kell Factor.- 4.2 The Human Eye.- 4.3 Psychophysics of Vision.- 4.3.1 Threshold Vision.- 4.3.1a Space-Domain Threshold Vision.- 4.3.1b Visual Masking.- 4.3.1c Temporal Vision.- 4.3.1d Effect of Stimulus Shape.- 4.3.1e Frequency Domain Threshold Vision.- 4.3.2 Visibility of Random Noise.- 4.4 Psychophysics of Color Vision.- 4.4.1 Perceived Color.- 4.4.2 Color Metrics.- 4.4.3 1976 CIE-L*u*v* Formula.- 4.4.4 Spatial Effects in Color Vision.- 4.4.5 Opponent-Color Theory.- 4.5 Models for Picture Quality.- 4.5.1 Space-Domain Model.- 4.5.2 Frequency Domain Model.- 4.5.3 Color Images.- References.- 5. Basic Compression Techniques.- 5.1 Pulse Code Modulation (PCM).- 5.1.1 PCM Encoding of Component Color.- 5.1.1a Color Maps.- 5.1.2 PCM Encoding of Composite Color Waveform.- 5.2 Predictive Coding.- 5.2.1 Delta Modulation.- 5.2.2 DPCM Coding.- 5.2.3 Predictors (General).- 5.2.3a Linear Predictors.- 5.2.3b Practical Intrafield Predictors.- 5.2.3c Intrafield Predictors for Composite Television.- 5.2.3d Adaptive Intrafield Predictors.- 5.2.3e Interframe Prediction.- 5.2.3f Motion Estimation.- 5.2.3g Block Matching Methods.- 5.2.3h Recursive Methods.- 5.2.3i Gain Compensation.- 5.2.3j Motion Compensation for Color Television.- 5.2.3k Effects of Transmission Errors.- 5.2.4 Quantization.- 5.2.4a Nonadaptive Quantization.- 5.2.4b Nonadaptive Quantization for Color Signals.- 5.2.4c

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