Paper
4 April 1997 Perceptual distortion analysis of color image VQ-based coding
Christophe Charrier, Kenneth Knoblauch, Hocine Cherifi
Author Affiliations +
Proceedings Volume 3025, Very High Resolution and Quality Imaging II; (1997) https://doi.org/10.1117/12.270046
Event: Electronic Imaging '97, 1997, San Jose, CA, United States
Abstract
It is generally accepted that a RGB color image can be easily encoded by using a gray-scale compression technique on each of the three color planes. Such an approach, however, fails to take into account correlations existing between color planes and perceptual factors. We evaluated several linear and non-linear color spaces, some introduced by the CIE, compressed with the vector quantization technique for minimum perceptual distortion. To study these distortions, we measured contrast and luminance of the video framebuffer, to precisely control color. We then obtained psychophysical judgements to measure how well these methods work to minimize perceptual distortion in a variety of color space.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christophe Charrier, Kenneth Knoblauch, and Hocine Cherifi "Perceptual distortion analysis of color image VQ-based coding", Proc. SPIE 3025, Very High Resolution and Quality Imaging II, (4 April 1997); https://doi.org/10.1117/12.270046
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Cited by 4 scholarly publications.
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KEYWORDS
Distortion

Image compression

RGB color model

Quantization

Photometry

Calibration

Computer programming

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