Image Compression: Lossless

Authored by: S. Sahni , C. Leonard , C. Kapoor , F. Chen , J. Fitzsimmons , B.C. Vemuri

Encyclopedia of Optical and Photonic Engineering

Print publication date:  September  2015
Online publication date:  September  2015

Print ISBN: 9781439850978
eBook ISBN: 9781351247184
Adobe ISBN:


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There are numerous applications of image processing, such as satellite imaging, medical imaging, and video, where the image size or image stream size is too large and requires a large amount of storage space or high bandwidth for communication in its original form. Image compression techniques can be used effectively in such applications. Lossless (reversible) image compression techniques preserve the information so that exact reconstruction of the image is possible from the compressed data. In this entry, we survey the existing coding and lossless compression schemes and also provide an experimental evaluation of various state-of-the-art lossless compression algorithms that have been reported in the literature. The experimental evaluation is done using a large number (45) of publicly available image data sets. In the case of coding algorithms, we present a comparison of the achieved compression for a variety of linearization schemes applied to the image data sets.

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