Evaluation of lossless compression techniques for high-resolution RGB and CMYK color images

Steven Van Assche; Koen N.A. Denecker; Peter De Neve; Wilfried R. Philips; Ignace L. Lemahieu

doi:10.1117/1.482709

Abstract

In the prepress 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 prepress industry, mostly only lossless compression is acceptable. Most existing lossless compression schemes operate on gray-scale images. In this case the color components of color images are compressed independently. However, higher compression ratios can be achieved by exploiting intercolor redundancies. In this paper we present a comparison of three state-of-the-art lossless compression techniques which exploit such color redundancies: intercolor error prediction and a Karhunen–Loe`ve transform-based technique, which are both linear color decorrelation techniques, and interframe CALIC, which uses a nonlinear approach to color decorrelation. It is shown that these techniques are able to exploit color redundancies and that color decorrelation can be done effectively and efficiently. The linear color decorrelators provide a considerable coding gain (about 2 bpp) on some typical prepress images. Surprisingly, the nonlinear interframe CALIC predictor does not yield better results.

Citation Download Citation

Steven Van Assche, Koen N.A. Denecker, Peter De Neve, Wilfried R. Philips, Ignace L. Lemahieu, "Evaluation of lossless compression techniques for high-resolution RGB and CMYK color images," Journal of Electronic Imaging 8(4), (1 October 1999). https://doi.org/10.1117/1.482709

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