A new context-model for the pseudo-distance technique in lossless compression of color-mapped images

Basar Koc; Ziya Arnavut

doi:10.1117/12.929940

15 October 2012 A new context-model for the pseudo-distance technique in lossless compression of color-mapped images

Basar Koc, Ziya Arnavut

Proceedings Volume 8499, Applications of Digital Image Processing XXXV; 84991O (2012) https://doi.org/10.1117/12.929940
Event: SPIE Optical Engineering + Applications, 2012, San Diego, California, United States

Abstract

In this work, we propose a method that utilizes a new context model along with a pseudo-distance technique in compression of color-mapped images. Graphic Interchange Format (GIF) and Portable Network Graphics (PNG) are two of the well-known and frequently used techniques for the compression of color-mapped images. There are several techniques that achieve better compression results than GIF and PNG; however, most of these techniques need two passes on the image data, while others do not run in linear time. The pseudo-distance technique runs in linear time and requires only one pass. We show that using the proposed context model along with the pseudo-distance technique yields better results than both PNG and GIF.

Citation Download Citation

Basar Koc and Ziya Arnavut "A new context-model for the pseudo-distance technique in lossless compression of color-mapped images", Proc. SPIE 8499, Applications of Digital Image Processing XXXV, 84991O (15 October 2012); https://doi.org/10.1117/12.929940

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