The Transform Image Codec Based on Fuzzy Control and Human Visual System

Kuei-Ann Wen, Chung Yen Lu, Ming Chang Tsai

    研究成果: Article同行評審

    10 引文 斯高帕斯(Scopus)

    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.

    原文English
    文章編號413231
    頁(從 - 到)253-259
    頁數7
    期刊IEEE Transactions on Fuzzy Systems
    3
    發行號3
    DOIs
    出版狀態Published - 8月 1995

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