Optimal losses in image compression: variable quantization based on the multilayer source model

Vadim B. Tkhor

doi:10.1117/12.199650

19 January 1995 Optimal losses in image compression: variable quantization based on the multilayer source model

Vadim B. Tkhor

Proceedings Volume 2363, 5th International Workshop on Digital Image Processing and Computer Graphics (DIP-94); (1995) https://doi.org/10.1117/12.199650
Event: Digital Image Processing and Computer Graphics: Fifth International Workshop, 1994, Samara, Russian Federation

Abstract

Variable quantization (VQ) has become a common lossy operation almost in every modern image compression method. This is precisely the procedure defining the final decompressed image quality followed by the lossless compression. If the lossless stage of compression is well investigated (Huffman and arithmetic codes), the lossy stage up to the present remains on the level of art basing on the experience of an investigator. A rather general multilayer source model for optimizing (reconciling with the source and human vision properties) variable quantization processes is proposed. This model allows us to analyze the quantization from the new approximation point of view, formalize the optimization task, and propose various simple and effective VQ schemes that can be used as lossy procedure in an arbitrary image compression method.

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Vadim B. Tkhor "Optimal losses in image compression: variable quantization based on the multilayer source model", Proc. SPIE 2363, 5th International Workshop on Digital Image Processing and Computer Graphics (DIP-94), (19 January 1995); https://doi.org/10.1117/12.199650

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KEYWORDS

Quantization

Image compression

Image processing

Image quality

Visual process modeling

Silicon

Solid modeling

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