http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Introduction to digital image processing
The subject of digital image processing has migrated from a graduate to a junior or senior level course as students become more proficient in mathematical background earlier in their college education. With that in mind, Introduction to Digital Image Processing is simpler in terms of mathematical derivations and eliminates derivations of advanced subjects. Most importantly, the textbook contains an extensive set of programming exercises for students.The textbook examines the basic technologies needed to support image processing applications, including the characterization of continuous images, image sampling and quantization techniques, and two-dimensional signal processing techniques. It then covers the two principle areas of image processing: image enhancement and restoration techniques and extraction of information from an image. It concludes with discussions of image and video compression.
Front Cover; Dedication; Contents; Preface; Acknowledgments; Preamble; Notation; Part 1 Continuous Image Characterization; Chapter 1 Continuous Image Mathematical Characterization; Chapter 2 Psychophysical Vision Properties; Chapter 3 Introduction To Digital Image Processing By William K. Prattcopyright © 2013 By Crc Pressphotometry And Colorimetry; Part 2 Digital Image Characterization; Chapter 4 Image Sampling And Reconstruction; Chapter 5 Image Quantization; Part 3 Discrete Two-dimensional Processing; Chapter 6 Discrete Image Mathematicalcharacterization
Chapter 7: Superpositional and ConvolutionChapter 8 Unitary And Wavelet Transforms; Chapter 9 Linear Processing Techniques; Part 4 Image Improvement; Chapter 10 Image Enhancement; Chapter 11 Image Restoration; Chapter 12 Geometrical Image Modification; Part 5 Image Analysis; 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; Part 6 Image And Video Compression; Chapter 19 Point Processing Image Compression
Chapter 20 Spatial Processing Image CompressionChapter 21 Video Compression; Appendix 1 Vector-space Algebra Concepts; Appendix 2 Image Error Measures; Appendix 3 Image And Video Compression Standards Development; Appendix 4 Huffman Coding Example; Annex 1 Pixelsoft Web Site Down Loadable Files; Annex 2 Piks Api Image Processing Example; Annex 3 Pikstool Gui Image Processing Example; Annex 4 Pikstool Chain Image Processing Example; Annex 5 MATLAB Image Processing Example; Bibliography; Back Cover
Description based upon print version of record.