Luminance-model-based DCT quantization for color image compression

Albert J. Ahumada Jr.; Heidi A. Peterson

doi:10.1117/12.135982

27 August 1992 Luminance-model-based DCT quantization for color image compression

Albert J. Ahumada Jr., Heidi A. Peterson

Proceedings Volume 1666, Human Vision, Visual Processing, and Digital Display III; (1992) https://doi.org/10.1117/12.135982
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States

Abstract

A model is developed to approximate visibility thresholds for discrete cosine transform (DCT) coefficient quantization error based on the peak-to-peak luminance of the error image. Experimentally measured visibility thresholds for R, G, and B DCT basis functions can be predicted by a simple luminance-based detection model. This model allows DCT coefficient quantization matrices to be designed for display conditions other than those of the experimental measurements: other display luminances, other veiling luminances, and other spatial frequencies (different pixel spacings, viewing distances, and aspect ratios).

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Albert J. Ahumada Jr. and Heidi A. Peterson "Luminance-model-based DCT quantization for color image compression", Proc. SPIE 1666, Human Vision, Visual Processing, and Digital Display III, (27 August 1992); https://doi.org/10.1117/12.135982

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