16 September 1994 Human visual system-based block classification algorithm for image sequence coders
Author Affiliations +
Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185898
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States
For a long time, most of the hybrid codecs for moving images have been of a block based type. Each block is then coded rather independently by spending bits according to its statistically relevant contents. But this does not yet mean that the data is visually relevant. To overcome this, sometimes people incorporate some visual parameters inside their coding process. The visual weighting matrix so often used in DCT coding is such an example. However, this approach often results in complications, since the coding algorithm as such is almost never suitable to extract or interpret visual relevance. For instance, DCT coefficients do not represent a visual phenomenon. The problem can be dealt with more thoroughly by completely separating the process into a visual analysis step and a coding step. An analysis step can now assign attributes to visual features, irrespectively of the actual coding algorithm. Its results can then be used by the coding engine to choose a suitable algorithm, to adapt parameters or to choose a local quality criterion. In this way, it is possible to code better adapted to local visual features. This paper will describe a codec using such a classification algorithm and present some results.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Albert A. Deknuydt, Albert A. Deknuydt, Stefaan Desmet, Stefaan Desmet, Luc Van Eycken, Luc Van Eycken, Andre J. Oosterlinck, Andre J. Oosterlinck, } "Human visual system-based block classification algorithm for image sequence coders", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); doi: 10.1117/12.185898; https://doi.org/10.1117/12.185898


DVS image noise removal using K-SVD method
Proceedings of SPIE (April 10 2018)
Stereoscopic image quality metrics and compression
Proceedings of SPIE (February 29 2008)
Improving re-sampling detection by adding noise
Proceedings of SPIE (January 27 2010)
Description and evaluation of a non-DCT-based codec
Proceedings of SPIE (April 21 1995)

Back to Top