An edge-preserving image coding system with vector quantization

Chou Chen Wang, Chin Hsing Chen, Chaur Heh Hsierttt

研究成果: Article同行評審

1 引文 斯高帕斯(Scopus)

摘要

SUMMARY Image coding with vector quantization (VQ) reveals several defects which include edge degradation and high encoding complexity. This paper presents an edge-preserving coding system based on VQ to overcome these defects. A signal processing unit first classifies image blocks into low-activity or high-activity class. A high-activity block is then decomposed into a smoothing factor, a bit-plane and a smoother (lower variance) block. These outputs can be more efficiently encoded by VQ with lower distortion. A set of visual patterns is used to encode the bit-planes by binary vector quantization. We also develop a modified search-order coding to further reduce the redundancy of quantization indexes. Simulation results show that the proposed algorithm achieves much better perceptual quality with higher compression ratio and significant lower computational complexity, as compared to the direct VQ.

原文English
頁(從 - 到)1572-1581
頁數10
期刊IEICE Transactions on Information and Systems
E82-D
發行號12
出版狀態Published - 1999 1月 1

All Science Journal Classification (ASJC) codes

  • 軟體
  • 硬體和架構
  • 電腦視覺和模式識別
  • 電氣與電子工程
  • 人工智慧

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