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Digital Image Processing, College Edition

Digital Image Processing, College Edition

William K. Pratt

ISBN: 978-1-118-25462-2

Nov 2012

816 pages

Select type: Hardcover

$213.95

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Description

Digital Image Processing, College Edition, has been adapted from the fourth edition of William Pratt’s reference book on the topic, which was previously published by Wiley STMS and recently transferred to Higher Education. In order to adapt the book for a college audience, particularly for senior level electives in electrical and computer engineering, we’ve removed technical detail not relevant to students in their first exposure to the subject. We’ve also added learning objectives and summaries to the chapters and increased the example and problem content.  In addition, we’ve included computational examples using MATLAB and PIKS.

Chapter 1: Continuous Image Mathematical Characterization

Chapter 2: Psychophysical Vision Properties

Chapter 3: Photometry and Colorimetry

Chapter 4: Image Sampling and Reconstruction

Chapter 5: Image Quantization

Chapter 6: Discrete Image Mathematical Characterization

Chapter 7: Superposition and Convolution

Chapter 8: Unitary and Wavelet Transforms

Chapter 9: Linear Processing Techniques

Chapter 10: Image Enhancement

Chapter 11: Image Restoration

Chapter 12: Geometrical Image Modification

Chapter 13: Morphological Image Processing

Chapter 14: Edge Detection

Chapter 15: Image Feature Extraction

Chapter 16: Image Segmentation

Chapter 17: Shape Analysis

Chapter 18: Image Detection and Registration

Chapter 19: Point Processing Image Compression

Chapter 20: Spatial Processing Image Compression

Chapter 21: Video Compression

  • New chapters cover topics of increasing importance, such as Image Compression and Video Compression.
  • Image processing programming problems have been added at the end of each chapter.  They can be implemented using the PIKS API (a C language image processing library) or by MATLAB.
  • New chapter on Image Compression.
  • New chapter on Video Compression.
  • Exercises and narrative “recipe-type” descriptions of image processing operations in each chapter.
  • Coverage of software tools includes PIKS and MATLAB.
  • Provides a comprehensive grounding in the entire field of digital image processing, from the basic technologies needed to support image processing applications, to a detailed exploration of image enhancement, image analysis, and image and video compression.