Paper
22 April 1996 DCT coefficient distributions
Author Affiliations +
Proceedings Volume 2657, Human Vision and Electronic Imaging; (1996) https://doi.org/10.1117/12.238737
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
Abstract
Many image and video compression schemes perform the discrete cosine transform (DCT) to represent image data in frequency space. An analysis of a broad suite of images confirms previous findings that a Laplacian distribution can be used to model the luminance ac coefficients. This model is expanded and applied to color space (Cr/Cb) coefficients. In MPEG, the DCT is used to code interframe prediction error terms. The distribution of these coefficients is explored. Finally, the distribution model is applied to improve dynamic generation of quantization matrices.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen R. Smoot and Lawrence A. Rowe "DCT coefficient distributions", Proc. SPIE 2657, Human Vision and Electronic Imaging, (22 April 1996); https://doi.org/10.1117/12.238737
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CITATIONS
Cited by 60 scholarly publications.
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KEYWORDS
Image compression

Quantization

Video compression

Video

Matrices

Cameras

Computer programming

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