Visual pattern image coding
Visual pattern image coding
复制标题
视觉模式图像编码
DOI：
10.1109/26.64656
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发表时间：
1990
期刊：
影响因子：
--
通讯作者：
A. Bovik
中科院分区：
文献类型：
--
作者：
Dapang Chen;A. Bovik
A novel framework for digital image compression called visual pattern image coding, or VPIC, is presented. In VPIC, set of visual-patterns is defined independent of the images to be coded. Each visual pattern is a subimage of limited spatial support that is visually meaningful to a normal human observer. The patterns are used as a basis for efficient image representation; since it is assumed that the images to be coded are natural optical images to be viewed by human observers, visual pattern design is developed using relevant psychophysical and physiological data. Although VPIC bears certain resemblances to block truncation (BTC) and vector quantification (VQ) image coding, there are important differences. First, there is no training phase required: the visual patterns derive from models of perceptual mechanisms; second, the assignment of patterns to image regions is not based on a standard (norm) error criterion; expensive search operations are eliminated. >
