Digital Image Compression Advanced Topics

  • Weidong Kou
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 333)

Abstract

Segmentation is an image processing technique that can be used in many image applications. For instance, to perform optical character recognition, one usually needs to partition an image into small segments each of which contains a character. Segmentation based image coding is another application of image segmentation. By using this image compression method, one first segments an image into smaller pieces, and then encodes these pieces. The principle behind this method is that there is a strong correlation among the neighbor pixels, and by reducing this correlation redundancy through image segmentation and encoding each segment individually, an image can be compressed efficiently. Segmentation based image coding can lead to a very high compression ratio, for example, 100:1. In this section, three segmentation based image compression algorithms will be described. They are region growing, split-and-merge,and tree-structured segmentation algorithms.

Keywords

Fractal Compression Image Compression Side Information Iterate Function System High Compression Ratio 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1995

Authors and Affiliations

  • Weidong Kou

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