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.

Contenuti

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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