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Proceedings Paper

New segmented image coding method for color images
Author(s): Jeroen Van Overloop; Dimitri Torfs; Wilfried R. Philips; Ignace L. Lemahieu
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Paper Abstract

For the compression of color images, the lossy compression standard JPEG has two major shortcomings. Firstly, it codes the color components separately. This reduces the possible compression ratio. Secondly, the image quality at very low bit rate is seriously degraded by blocking artifacts. The paper describes an extension of an existing segmented image coding (SIC) method for monochrome images to images containing a limited number of colors. The new technique codes the colors more efficiently and performs better at high compression. After conversion to the YUV color space, the corresponding luminance image is compressed using monochrome SIC. At the decoder, this image is reconstructed and the gray-values are translated into colors. Because different colors in the image can have the same gray-values and because SIC is lossy, some gray-values may be wrongly reconstructed in the decompressed image. To prevent the introduction of foreign colors in a region, i.e. colors which are not present in the region in the original image, bit vectors are constructed indicating which colors are present. The decoder uses this information to replace foreign colors by colors of the region. The bit vectors are compressed using a lossless bi-level coding scheme. The paper presents experimental results which show that the new method produces a much better subjective image quality than JPEG at high compression due to the absence of block distortion.

Paper Details

Date Published: 7 February 1997
PDF: 8 pages
Proc. SPIE 2949, Imaging Sciences and Display Technologies, (7 February 1997); doi: 10.1117/12.266361
Show Author Affiliations
Jeroen Van Overloop, Univ. of Ghent (Belgium)
Dimitri Torfs, Univ. of Ghent (Belgium)
Wilfried R. Philips, Univ. of Ghent (Belgium)
Ignace L. Lemahieu, Univ. of Ghent (Belgium)

Published in SPIE Proceedings Vol. 2949:
Imaging Sciences and Display Technologies
Jan Bares; Christopher T. Bartlett; Paul A. Delabastita; Jose Luis Encarnacao; Nelson V. Tabiryan; Panos E. Trahanias; Arthur Robert Weeks, Editor(s)

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