Ebook: Digital Image Processing: PIKS Inside, Third Edition
Author: William K. Pratt(auth.)
- Year: 2001
- Publisher: John Wiley & Sons
- Language: English
- pdf
The Third Edition of Digital Image Processing provides a complete introduction to the field and includes new information that updates the state of the art. It offers coverage of new topics and includes interactive computer display imaging examples and computer programming exercises that illustrate the theoretical content of the book. These exercises can be implemented using the Programmer's Imaging Kernel System (PIKS) application program interface included on the accompanying CD-ROM. Content:
Chapter 1 Continuous Image Mathematical Characterization (pages 3–21):
Chapter 2 Psychophysical Vision Properties (pages 23–44):
Chapter 3 Photometry and Colorimetry (pages 45–88):
Chapter 4 Image Sampling and Reconstruction (pages 91–120):
Chapter 5 Discrete Image Mathematical Representation (pages 121–139):
Chapter 6 Image Quantization (pages 141–158):
Chapter 7 Superposition and Convolution (pages 161–183):
Chapter 8 Unitary Transforms (pages 185–212):
Chapter 9 Linear Processing Techniques (pages 213–240):
Chapter 10 Image Enhancement (pages 243–296):
Chapter 11 Image Restoration Models (pages 297–317):
Chapter 12 Point and Spatial Image Restoration Techniques (pages 319–369):
Chapter 13 Geometrical Image Modification (pages 371–398):
Chapter 14 Morphological Image Processing (pages 401–441):
Chapter 15 Edge Detection (pages 443–508):
Chapter 16 Image Feature Extraction (pages 509–550):
Chapter 17 Image Segmentation (pages 551–587):
Chapter 18 Shape Analysis (pages 589–612):
Chapter 19 Image Detection and Registration (pages 613–639):
Chapter 20 PIKS Image Processing Software (pages 643–672):
Chapter 21 PIKS Image Processing Programming Exercises (pages 673–692):
Chapter 1 Continuous Image Mathematical Characterization (pages 3–21):
Chapter 2 Psychophysical Vision Properties (pages 23–44):
Chapter 3 Photometry and Colorimetry (pages 45–88):
Chapter 4 Image Sampling and Reconstruction (pages 91–120):
Chapter 5 Discrete Image Mathematical Representation (pages 121–139):
Chapter 6 Image Quantization (pages 141–158):
Chapter 7 Superposition and Convolution (pages 161–183):
Chapter 8 Unitary Transforms (pages 185–212):
Chapter 9 Linear Processing Techniques (pages 213–240):
Chapter 10 Image Enhancement (pages 243–296):
Chapter 11 Image Restoration Models (pages 297–317):
Chapter 12 Point and Spatial Image Restoration Techniques (pages 319–369):
Chapter 13 Geometrical Image Modification (pages 371–398):
Chapter 14 Morphological Image Processing (pages 401–441):
Chapter 15 Edge Detection (pages 443–508):
Chapter 16 Image Feature Extraction (pages 509–550):
Chapter 17 Image Segmentation (pages 551–587):
Chapter 18 Shape Analysis (pages 589–612):
Chapter 19 Image Detection and Registration (pages 613–639):
Chapter 20 PIKS Image Processing Software (pages 643–672):
Chapter 21 PIKS Image Processing Programming Exercises (pages 673–692):
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