Preface |
Digital image processing fundamentals / 1: |
Introduction / 1.1: |
Topics of digital image processing and analysis / 1.2: |
Digital image formation / 1.3: |
Digital image representation / 1.4: |
Elementary digital image processing operations / 1.5: |
Digital image display / 1.6: |
Fundamentals of color image processing / 1.7: |
Noise generators for digital image processing / 1.8: |
References |
Digital image transform algorithms / 2: |
Two-dimensional discrete Fourier transform / 2.1: |
Row--column FFT algorithm / 2.3: |
Memory problems in 2-d DFT calculations / 2.4: |
Vector-radix fast Fourier transform algorithm / 2.5: |
Polynomial transform FFT / 2.6: |
Two-dimensional power spectrum estimation / 2.7: |
Discrete cosine transform / 2.8: |
Two-dimensional discrete cosine transform / 2.9: |
Discrete wavelet transform / 2.10: |
Digital image filtering and enhancement / 3: |
Direct implementation of two-dimensional FIR digital filters / 3.1: |
Fast Fourier transform implementation of FIR digital filters / 3.3: |
Block methods in the linear convolution calculation / 3.4: |
Inverse filter implementations / 3.5: |
Wiener filters / 3.6: |
Median filter algorithms / 3.7: |
Digital filters based on order statistics / 3.8: |
Signal Adaptive order statistic filters / 3.9: |
Histogram and histogram equalization techniques / 3.10: |
Pseudocoloring algorithms / 3.11: |
Digital image halftoning / 3.12: |
Image interpolation algorithms / 3.13: |
Anisotropic Diffusion / 3.14: |
Image Mosaicing / 3.15: |
Image watermarking / 3.16: |
Digital image compression / 4: |
Huffman coding / 4.1: |
Run-length coding / 4.3: |
Modified READ coding / 4.4: |
LZW compression / 4.5: |
Predictive coding / 4.6: |
Transform image coding / 4.7: |
JPEG2000 compression standard / 4.8: |
Edge detection algorithms / 5: |
Edge detection / 5.1: |
Edge thresholding / 5.3: |
Hough transform / 5.4: |
Edge-following algorithms / 5.5: |
Image segmentation algorithms / 6: |
Image segmentation by thresholding / 6.1: |
Split/merge and region growing algorithms / 6.3: |
Relaxation algorithms in region analysis / 6.4: |
Connected component labeling / 6.5: |
Texture description / 6.6: |
Shape description / 7: |
Chain codes / 7.1: |
Polygonal approximations / 7.3: |
Fourier descriptors / 7.4: |
Quadtrees / 7.5: |
Pyramids / 7.6: |
Shape features / 7.7: |
Moment descriptors / 7.8: |
Thinning algorithms / 7.9: |
Mathematical morphology / 7.10: |
Grayscale morphology / 7.11: |
Skeletons / 7.12: |
Shape decomposition / 7.13: |
Voronoi tesselation / 7.14: |
Watershed transform / 7.15: |
Face detection and recognition / 7.16: |
Digital Image Processing Lab Exercises Using EIKONA / 8: |
Overview / 8.1: |
Structure / 8.3: |
BW image processing / 8.4: |
Black-and-White / 8.4.1: |
Basic / 8.4.2: |
Processing / 8.4.3: |
Analysis / 8.4.4: |
Transforms / 8.4.5: |
Filtering / 8.4.6: |
Nonlinear filtering / 8.4.7: |
Color image processing / 8.5: |
Color Representation / 8.5.1: |
Modules / 8.6: |
Arts module / 8.6.1: |
Crack Restoration / 8.6.2: |
Watermark module / 8.6.3: |
EIKONA Source, Library/DLL / 8.7: |
Instructions for using the educational material / 8.8: |
Index |
Preface |
Digital image processing fundamentals / 1: |
Introduction / 1.1: |
Topics of digital image processing and analysis / 1.2: |
Digital image formation / 1.3: |
Digital image representation / 1.4: |