An efficient BTC image compression technique

Yung Gi Wu, Shen-Chuan Tai

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)317-325
Number of pages9
JournalIEEE Transactions on Consumer Electronics
Volume44
Issue number2
DOIs
Publication statusPublished - 1998 Dec 1

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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