Paper
1 November 1992 Color space choice for nearly reversible image compression
Albert A. Deknuydt, J. Smolders, Luc Van Eycken, Andre J. Oosterlinck
Author Affiliations +
Proceedings Volume 1818, Visual Communications and Image Processing '92; (1992) https://doi.org/10.1117/12.131401
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
Abstract
In applications where nearly reversible color image compression is required, the choice of an appropriate color space is a major factor determining the attainable compression ratio. The optimal choice would satisfy the following conditions: (1) Decorrelate the data as much as possible. (2) Minimize the total number of bits in the data path needed for a certain quality level (assuming a truly reversible component compression scheme). (3) Need no calculations with critical accuracy. We compared several known linear color transformations (under the assumption that the original data was represented in RGB) with respect to these conditions. Decorrelation and entropy reduction were calculated. The number of bits required to guarantee a certain quality level measured in (Delta) Lab units was determined. The effects of transformation coefficient quantization were checked. As a result, a simple transformation needing no multipliers at all is proposed.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Albert A. Deknuydt, J. Smolders, Luc Van Eycken, and Andre J. Oosterlinck "Color space choice for nearly reversible image compression", Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); https://doi.org/10.1117/12.131401
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Cited by 8 scholarly publications and 1 patent.
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KEYWORDS
Image processing

Quantization

Visual communications

Image compression

Transform theory

Binary data

RGB color model

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