標題: Hybrid adaptive block truncation coding for image compression
作者: Yang, CY
Lin, JC
交大名義發表
資訊工程學系
National Chiao Tung University
Department of Computer Science
關鍵字: image compression;hybrid adaptive block truncation coding;linear interpolation coding;predictive coding;radius weighted mean;vector quantization
公開日期: 1-四月-1997
摘要: A hybrid adaptive block truncation coding (HABTC) method is presented to improve block truncation coding (BTC)-related compression methods for gray-level images. The basic idea behind the method is to use various coding schemes to take advantage of local image characteristics. A simple linear interpolation coding scheme and a very basic predictive coding scheme are used to improve the compression ratio of the homogeneous area of the image. Moreover, a four-level ETC, whose thresholds are obtained using a radius-weighted mean (RWM), is applied to encode the inhomogeneous area. The bits per pixel/peak SNR (bpp/PSNR) values listed in many other BTC-related papers are cited and compared with ours. It is found that reasonable compression ratio is obtained by the proposed HABTC method and the visual quality of the decoded images is also acceptable. (C) 1997 Society of Photo-Optical Instrumentation Engineers.
URI: http://hdl.handle.net/11536/648
ISSN: 0091-3286
期刊: OPTICAL ENGINEERING
Volume: 36
Issue: 4
起始頁: 1021
結束頁: 1027
顯示於類別:期刊論文


文件中的檔案:

  1. A1997WU54000007.pdf