Digital image processing with application to digital cinema
With crystal clarity, this book conveys the most current principles in digital image processing, providing both the background theory and the practical applications to various industries, such as digital cinema, video compression, and streaming media.
| Autor principal: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Oxford :
Focal
2006.
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009626944906719 |
Tabla de Contenidos:
- Cover; Digital Image Processing with Application to Digital Cinema; Copyright; Contents; Foreword; Preface; Acknowledgments; 1 Introduction; 1.1 BACKGROUND; 1.2 ENHANCEMENT; 1.3 COMPRESSION; 1.4 RESTORATION; 1.5 COMPUTED TOMOGRAPHY; 1.6 IMAGE ANALYSIS; 1.7 SUMMARY; REFERENCES; 2 Two-Dimensional Signals, Systems, and Discrete Fourier Transform; 2.1 TWO-DIMENSIONAL DISCRETE SIGNALS; 2.2 TWO-DIMENSIONAL DISCRETE SYSTEMS; 2.2.1 Linear Systems; 2.2.2 Space Invariant Systems; 2.2.3 System Response via 2-D Convolution; 2.2.4 Causal and Stable Systems; 2.3 TWO-DIMENSIONAL DISCRETE FOURIER TRANSFORM
- 2.4 FREQUENCY RESPONSE2.5 TWO-DIMENSIONAL FILTERING; 2.6 FIR FILTER DESIGN; 2.6.1 Separable FIR Filters; 2.6.1.1 Window-Based Methods; 2.6.1.2 Frequency Sampling Technique; 2.6.1.3 Optimal Design Techniques; 2.6.2 Nonseparable FIR Filters; 2.7 SUMMARY; REFERENCES; 3 Human Visual Perception; 3.1 INTRODUCTION; 3.2 BRIGHTNESS PERCEPTION; 3.2.1 Intensity, Luminance, and Brightness; 3.2.2 Simultaneous Contrast; 3.2.3 Mach Bands; 3.2.4 Transfer Function of the HVS; 3.2.5 Monochrome Vision Model; 3.2.6 Visual Masking and an Improved HVS Model; 3.3 COLOR PERCEPTION; 3.3.1 Color-Matching Functions
- 3.3.2 Color Coordinate Systems3.3.2.1 CIE XYZ Primaries; 3.3.2.2 NTSC Receiver and Transmission Primaries; 3.3.3 HVS Model for Color Vision; 3.3.4 Opponent Color Model; 3.4 SUMMARY; REFERENCES; 4 Image Acquisition; 4.1 INTRODUCTION; 4.2 IMAGE SENSORS; 4.2.1 CCD Sensors; 4.2.1.1 Full-Frame Architecture; 4.2.1.2 Interline Architecture; 4.2.1.3 Frame-Transfer CCD; 4.2.2 CMOS Sensors; 4.2.3 Color Sensors; 4.3 IMAGE SAMPLING; 4.4 IMAGE QUANTIZATION; 4.4.1 Uniform Quantization; 4.4.2 Optimal Quantization; 4.5 IMAGE SCANNING; 4.5.1 Interlaced and Progressive Scanning; 4.5.2 Color Image Scanning
- 4.5.3 Color Encoding in Digital Video4.6 FILM-TO-DIGITAL CONVERSION; 4.7 SUMMARY; REFERENCES; 5 Image Enhancement; 5.1 BACKGROUND; 5.2 POINT PROCESSING; 5.2.1 Logarithmic Transformation; 5.2.2 Contrast Stretching; 5.2.3 Histogram Modification; 5.2.3.1 Histogram Equalization; 5.2.3.2 Adaptive Histogram Modification; 5.3 NEIGHBORHOOD PROCESSING; 5.3.1 Simple Mask Operations; 5.3.2 Two-Dimensional Filters Satisfying Specified Frequency Responses; 5.3.3 Median Filtering; 5.4 COLOR IMAGE ENHANCEMENT; 5.5 SUMMARY; REFERENCES; 6 Discrete Transforms for Image Processing; 6.1 INTRODUCTION
- 6.2 UNITARY TRANSFORMS6.2.1 One-Dimensional Unitary Transforms; 6.2.1.1 One-Dimensional DFT; 6.2.1.2 One-Dimensional Discrete Cosine Transform (DCT); 6.2.1.3 One-Dimensional Discrete Sine Transform (DST); 6.2.1.4 One-Dimensional Discrete Hartley Transform; 6.2.1.5 Hadamard, Haar, and Slant Transforms; 6.2.2 Two-Dimensional Discrete Transforms; 6.2.3 Some Properties of Unitary Transform; 6.3 KARHUNEN-LOEVE TRANSFORM; 6.4 CHOICE OF A TRANSFORM; 6.5 SUMMARY; REFERENCES; 7 Wavelet Transform; 7.1 INTRODUCTION; 7.2 CONTINUOUS WAVELET TRANSFORM; 7.3 THE WAVELET SERIES; 7.4 DISCRETE WAVELET TRANSFORM
- 7.5 IMPLEMENTATION OF THE DISCRETE WAVELET TRANSFORM
