Nonlinear feature extraction for perceptually-based low-bit-rate image coding

Michael L. Lightstone; Stefan Thurnhofer; Sanjit K. Mitra

doi:10.1117/12.157994

22 October 1993 Nonlinear feature extraction for perceptually-based low-bit-rate image coding

Michael L. Lightstone, Stefan Thurnhofer, Sanjit K. Mitra

Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157994
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

Abstract

A novel feature extraction technique based on a new class of nonlinear filters is presented for perceptually based, low bit rate image compression. In addition to having remarkable computational efficiency, the filters adaptively extract perceptually relevant edge and texture information with less amplification of noise than conventional linear filters. A two-band nonlinear decomposition based on the filters is constructed so that this feature information can be separated from the image. Separate coding strategies are examined that effectively quantize these features and the more stationary, low frequency residual information. The resulting compression scheme is compared with traditional methods of image compression and is shown to exhibit clear advantages in perceptual reconstruction quality.

Citation Download Citation

Michael L. Lightstone, Stefan Thurnhofer, and Sanjit K. Mitra "Nonlinear feature extraction for perceptually-based low-bit-rate image coding", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157994

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