Transform coding for low-bit-rate applications

Dulce B. Ponceleon; Katherine S. Wang; Hsi-Jung Wu; James O. Normile

doi:10.1117/12.174965

2 May 1994 Transform coding for low-bit-rate applications

Dulce B. Ponceleon, Katherine S. Wang, Hsi-Jung Wu, James O. Normile

Proceedings Volume 2187, Digital Video Compression on Personal Computers: Algorithms and Technologies; (1994) https://doi.org/10.1117/12.174965
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

Abstract

Low bit rate image coding at 10 kbit/s and less is a difficult problem and does not appear possible with the current generation of block transform based methods. Current research efforts center around the use of transforms with less objectionable artifacts such as wavelets or model based methods. We examine a method that is transform based but captures specific features of the image to be represented. The transform uses principal component analysis to generate a basis set specific to the particular class of images to be coded. We present results from a transform designed for use in a `talking head' sequence. Significant improvement in reconstructed quality is shown when perceptual weighting is used in generating the basis set. The appendix includes details of computationally efficient methods for deriving the basis set as well as a description of the weighting method.

Citation Download Citation

Dulce B. Ponceleon, Katherine S. Wang, Hsi-Jung Wu, and James O. Normile "Transform coding for low-bit-rate applications", Proc. SPIE 2187, Digital Video Compression on Personal Computers: Algorithms and Technologies, (2 May 1994); https://doi.org/10.1117/12.174965

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