Variable-rate predictive residual vector quantization

Syed A. Rizvi; Nasser M. Nasrabadi; Lin-Cheng Wang

doi:10.1117/12.206758

21 April 1995 Variable-rate predictive residual vector quantization

Syed A. Rizvi, Nasser M. Nasrabadi, Lin-Cheng Wang

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206758
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan

Abstract

A major problem with a VQ based image compression scheme is its codebook search complexity. Recently a Predictive Residual Vector Quantizer (PRVQ) was proposed in Ref. 8. This scheme has a very low search complexity and its performance is very close to that of the Predictive Vector Quantizer (PVQ). This paper presents a new VQ scheme called Variable-Rate PRVQ (VR-PRVQ) which is designed by imposing a constraint on the output entropy of the PRVQ. The proposed VR-PRVQ is found to give an excellent rate-distortion performance and clearly outperforms the state-of-the-art image compression algorithm developed by Joint Photographic Experts Group (JPEG).

Citation Download Citation

Syed A. Rizvi, Nasser M. Nasrabadi, and Lin-Cheng Wang "Variable-rate predictive residual vector quantization", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206758

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