Coding-adaptive transforms

Dan Lelescu; Frank Bossen

doi:10.1117/12.527015

18 January 2004 Coding-adaptive transforms

Dan Lelescu, Frank Bossen

Proceedings Volume 5308, Visual Communications and Image Processing 2004; (2004) https://doi.org/10.1117/12.527015
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

Transform coding plays a central role in image and video coding technologies. Various transforms, whether fixed or adaptive, have been utilized for video compression. However, these transforms are inherently sub-optimal in a coding-efficiency sense, given that their design does not explicitly take into account the entire transform coding model. Thus, commonly used transforms such as the DCT have desirable properties, but were designed without the full consideration of the other transform coding elements including quantization and entropy coding. Although these transforms have good performance in a rate-distortion sense, as demonstrated by today's image and video coding standards, we show that superior transforms can be designed based on the complete transform coding model. We present a new class of transforms called coding-adaptive transforms, that are derived under an optimality criterion which incorporates the elements of transform coding and is formulated for coding efficiency. Additionally, characteristics of the new transforms such as adaptivity, generalization, and robustness are discussed.

Citation Download Citation

Dan Lelescu and Frank Bossen "Coding-adaptive transforms", Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); https://doi.org/10.1117/12.527015

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