標題: THE TRANSFORM IMAGE CODEC BASED ON FUZZY CONTROL AND HUMAN VISUAL-SYSTEM
作者: WEN, KA
LU, CY
TSAI, MC
交大名義發表
電子工程學系及電子研究所
National Chiao Tung University
Department of Electronics Engineering and Institute of Electronics
公開日期: 1-八月-1995
摘要: A novel processing scheme for gray level image compression based on the human visual system (HVS) and fuzzy control is proposed. The spatial model of the threshold vision that incorporates the masking processes takes account of two major sensitivities of the human visual system, namely background illumination levels and spatial frequency sensitivities. The distortion measures use common sense fuzzy rules for image quality prediction. The human visual models have been successfully applied in image compression. By the addition of the visual model, performance of these systems have a visible improvement of subject quality depending on visual perception. The processed image performs both improved compression ratio as well as improved SNR (signal to noise ratio) in compression to the standardized still image compression technique, i.e., the JPEG.
URI: http://dx.doi.org/10.1109/91.413231
http://hdl.handle.net/11536/1800
ISSN: 1063-6706
DOI: 10.1109/91.413231
期刊: IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume: 3
Issue: 3
起始頁: 253
結束頁: 259
顯示於類別:期刊論文


文件中的檔案:

  1. A1995RR52000001.pdf