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Proceedings Paper

Lossless compression of prepress images using a novel color decorrelation technique
Author(s): Steven Van Assche; Wilfried R. Philips; Ignace L. Lemahieu
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Paper Abstract

In the pre-press industry color images have both a high spatial and a high color resolution. Such images require a considerable amount of storage space and impose long transmission times. Data compression is desired to reduce these storage and transmission problems. Because of the high quality requirements in the pre-press industry only listless compression is acceptable. Most existing listless compression schemes operate on gray-scale images. In this case the color components of color images must be compressed independently. However, higher compression ratios can be achieved by exploiting inter-color redundancies. In this paper a new listless color transform is proposed, based on the Karhunen- Loeve Transform (KLT). This transform removes redundancies in the color representation of each pixel and can be combined with many existing compression schemes. In this paper it is combined with a prediction scheme that exploits spatial redundancies. The results proposed in this paper show that the color transform effectively decorrelates the color components and that it typically saves about a half to two bit per pixel, compared to a purely predictive scheme.

Paper Details

Date Published: 1 April 1998
PDF: 8 pages
Proc. SPIE 3308, Very High Resolution and Quality Imaging III, (1 April 1998); doi: 10.1117/12.302430
Show Author Affiliations
Steven Van Assche, Univ. of Ghent (Belgium)
Wilfried R. Philips, Univ. of Ghent (Belgium)
Ignace L. Lemahieu, Univ. of Ghent (Belgium)


Published in SPIE Proceedings Vol. 3308:
Very High Resolution and Quality Imaging III
V. Ralph Algazi; Andrew G. Tescher, Editor(s)

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