The image processing handbook

書誌事項

The image processing handbook

John C. Russ

CRC Press, c2002

4th ed

大学図書館所蔵 件 / 37

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注記

Includes bibliographical references (p. [699]-716) and index

内容説明・目次

内容説明

First published in 1992, The Image Processing Handbook not only set the standard for professional references in this field, but also provided the first text truly accessible to undergraduate students and non-specialists. Each subsequent edition has reflected the continuing rapid advances in image processing, and the fourth edition is no exception. In fact, its broader scope, increased depth, and logical presentation make it, more than ever, a powerful teaching tool, essential reference, and handy companion for both new and experienced image processors and analysts.

目次

INTRODUCTION ACQUIRING IMAGES Human Reliance on Images for Information Video Cameras CCD Cameras Camera Artifacts and Limitations Color Cameras Camera Resolution CMOS Cameras Focusing Electronics and Bandwidth Limitations Pixels Grey Scale Resolution Noise High Depth Image Color Imaging Digital Camera Limitations Color Spaces Color Correction Color Displays Image Types Range Imaging Multiple Images Stereoscopy Imaging Requirements PRINTING AND STORAGE Printing Dots on Paper Color Printing Printing Hardware Film Recorders File Storage Storage Media Magnetic Recording Databases for Images Browsing and Thumbnails Lossless Coding Reduced Color Palettes JPEG Compression Wavelet Compression Fractal Compression Digital Movies CORRECTING IMAGING DEFECTS Contrast Expansion Noisy Images Neighborhood Averaging Neighborhood Ranking Other Neighborhood Noise Reduction Methods Defect Removal, Maximum Entropy and Maximum Likelihood Nonuniform Illumination Fitting a Background Function Rank leveling Color Shading Non-Planar Views Computer Graphics Geometrical Distortion Alignment Interpolation Morphing IMAGE ENHANCEMENT (PROCESSING IN THE SPATIAL DOMAIN) Contrast Manipulation Histogram Equalization Laplacian Derivatives The Sobel and Kirsch Operators Rank Operations Texture Fractal Analysis Implementation notes Image math Subtracting Images Multiplication and Division PROCESSING IMAGES IN FREQUENCY SPACE Some Necessary Mathematical Preliminaries What Frequency Space is All About The Fourier Transform Fourier Transforms of Real Functions Frequencies and orientations Measuring Images in the Frequency Domain Orientation and Spacing Preferred Orientation Texture and Fractals Filtering Images Isolating Periodic Noise Masks and Filters Se

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