Reduction of specific distortions in image vector quantization

Hazem Ahmad Munawer

doi:10.1117/12.251301

16 September 1996 Reduction of specific distortions in image vector quantization

Hazem Ahmad Munawer

Proceedings Volume 2952, Digital Compression Technologies and Systems for Video Communications; (1996) https://doi.org/10.1117/12.251301
Event: Advanced Imaging and Network Technologies, 1996, Berlin, Germany

Abstract

In this paper, to reduce the specific distortions that accompany the vector quantization (VQ) process, we present the following VQ algorithms: (1) wavelet VQ (WVQ), (2) residual and hybrid residual VQ, and (3) VQ with a sorted codebook (VQ-SCB). The simulation results of the above mentioned algorithms have shown that a considerable reduction of the VQ specific distortions (PSNR equals 27.7 - 30.6 db) can be achieved at bit rates R equals 0.4 - 0.7 b/p.

Citation Download Citation

Hazem Ahmad Munawer "Reduction of specific distortions in image vector quantization", Proc. SPIE 2952, Digital Compression Technologies and Systems for Video Communications, (16 September 1996); https://doi.org/10.1117/12.251301

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