Image compression using conditioning contexts

Frank Mueller; Bernd Menser

doi:10.1117/12.263301

10 January 1997 Image compression using conditioning contexts

Frank Mueller, Bernd Menser

Proceedings Volume 3024, Visual Communications and Image Processing '97; (1997) https://doi.org/10.1117/12.263301
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

A method for still image coding is proposed which allows for progressive transmission, because low detailed versions of the image can be reconstructed form a truncated bit stream. The proposed method is in its main aspects close to the classical pyramid approach of Burt and Adelson. While retaining the main idea of using a Laplacian pyramid type decomposition, the new proposal differs in the filters employed for pyramid decomposition and in the bit allocation and quantization. The image is decomposed into a centered spline Laplacian pyramid. The pyramid is quantized and coded following a layered quantization approach together with a layered coding method based on conditional arithmetic coding. The encoder outputs an embedded bit stream. Thus the decoder may truncate the bitstream at any point, which results in a more or less detailed image. Besides this rate- distortion scalability the coder has a multiresolution property, due to the pyramid decomposition. An extension to hybrid video coding is also discussed.

Citation Download Citation

Frank Mueller and Bernd Menser "Image compression using conditioning contexts", Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); https://doi.org/10.1117/12.263301

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