An efficient BTC image compression technique

Yung Gi Wu, Shen-Chuan Tai

研究成果: Article同行評審

23 引文 斯高帕斯(Scopus)

摘要

This paper presents a moment preserving and visual information dominance technique to achieve the low bit rate Block Truncation Coding (BTC). Compared with other existing strategies as transform coding and vector quantization, conventional BTC compression has the advantage of simple and fast computation. Nevertheless the compression ratio is limited to low efficiency. Our proposed technique accomplishes the goal of simple computation with variable bit rate selections by the moment keeping and information extraction algorithm. The proposed technique has the advantage of simple operations and it doesn't require complicated mathematics computations. Thus, the overall computation does not increase many burdens compared with the ordinary BTC. The simulations are carried to the natural images to evaluate the performance. The generated decoded images have moderated quality with the bit rate 0.5-1.0 bit/pixel.

原文English
頁(從 - 到)317-325
頁數9
期刊IEEE Transactions on Consumer Electronics
44
發行號2
DOIs
出版狀態Published - 1998 十二月 1

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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