Fundamentals of Digital Image Processing

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Prentice Hall, 1989 - Technology & Engineering - 569 pages
3 Reviews

Presents a thorough overview of the major topics of digital image processing, beginning with the basic mathematical tools needed for the subject. Includes a comprehensive chapter on stochastic models for digital image processing.Covers aspects of image representation including luminance, color, spatial and temporal properties of vision, and digitization. Explores various image processing techniques. Discusses algorithm development (software/firmware) for image transforms, enhancement, reconstruction, and image coding.

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This is a fantastic book. I have read several famous image processing books, and this one is much better than others. It combines information theory with image processing techniques, and provides a lot of valuable insights. I have benefited a lot from reading this book. I love this book. This is a treasure the author left to the research society.  

Contents

Series
18
Problems
44
Problems
76
Copyright

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Fundamentals of Digital Image Processing
Anil K. Jain
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Common terms and phrases

A. K. Jain algorithm average back-projection bandlimited bits boundary called causal circulant matrix coding color convolution coordinates covariance function data compression defined denote density Digital Image DPCM edge entropy equations estimate example fast transform Figure Fourier transform frequency response Gaussian given gives gradient gray level Hadamard transform histogram Huffman code IEEE Trans image enhancement image processing image restoration impulse response input interpolation inverse KL transform least squares linear low-pass filter luminance matrix mean square error method noncausal MVR object obtained one-dimensional operations optimum orthogonal output pixel prediction error predictor Problem projections properties pseudoinverse quantizer Radon transform random field random variable reconstruction recursive region representation represents sampling scan Section segmentation shown in Fig shows signal spatially invariant spectral spectrum stationary stochastic techniques texture theorem Toeplitz Toeplitz matrix transform coefficients two-dimensional unitary DFT unitary transform values variance vector Wiener filter zero mean

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About the author (1989)

Jain, University of Delhi.

Bibliographic information

QR code for Fundamentals of Digital Image Processing
TitleFundamentals of Digital Image Processing
Prentice-Hall information and system sciences series
AuthorAnil K. Jain
Edition4, illustrated
PublisherPrentice Hall, 1989
Original fromthe University of Michigan
Digitized3 Dec 2007
ISBN0133361659, 9780133361650
Length569 pages
Subjects › 

Technology & Engineering / Electrical
Technology & Engineering / Imaging Systems
Technology & Engineering / Telecommunications
  
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