By K. S. Thyagarajan

This ebook describes the rules of photo and video compression concepts and introduces present and well known compression criteria, comparable to the MPEG sequence. Derivations of correct compression algorithms are constructed in an easy-to-follow style. quite a few examples are supplied in every one bankruptcy to demonstrate the innovations.

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5g,h, respectively. In contrast to the sampling with a pulse of finite width, we see that the Fourier transform of the ideally sampled image is the same as that of the input image. 5i. It is identical to the sampled image because we employed sampling with a pulse of finite width. m Example showing the effect of image sampling with a finite width pulse Two cases are possible: ’delta’ and ’pulse’ delta corresponds to impulse sampling and pulse to sampling with finite width pulse. 3 Nonrectangular Sampling Grids So far our discussion has been on image sampling on a rectangular grid.

One should Still Image and Video Compression with MATLAB By K. S. Thyagarajan. Copyright © 2011 John Wiley & Sons, Inc. 1 Quantizer Sampled image f(m,n) Digital image Sampling and quantizing a continuous image. also be able to determine the distortions in the reproduced or displayed continuous image as a result of the spatial sampling and quantization used. In the following section, we will develop the necessary mathematical equations to describe the processes of sampling a continuous image and reconstructing it from its samples.

3 IMAGE QUANTIZATION 39 output levels for given input pdf and L. These tables assume that the input analog signal to have unit variance. To obtain the optimal quantizer decision intervals and output levels for an analog signal having a specific variance, one must multiply the tabulated values by the standard deviation of the actual signal. 2 Uniform Quantizer When the pdf of the analog sample is uniform, the decision intervals and output levels of the Lloyd–Max quantizer can be computed analytically as shown below.

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Still Image and Video Compression with MATLAB by K. S. Thyagarajan
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