The authors propose a segmentation-based hybrid image coding algorithm taking the features of the human visual system into account. A novel segmentation criterion based on luminance masking is presented. The image is ...
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The authors propose a segmentation-based hybrid image coding algorithm taking the features of the human visual system into account. A novel segmentation criterion based on luminance masking is presented. The image is segmented into blocks of different sizes and different properties. Block mean, polynomial approximation and discrete cosine transform coding are then applied to the blocks accordingly.
The removal of subjective redundancy from video images has recently become an important area of study. A suggested method of removing this redundancy from transform-coded images is through the psychovisual thresholdin...
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The removal of subjective redundancy from video images has recently become an important area of study. A suggested method of removing this redundancy from transform-coded images is through the psychovisual thresholding and quantisation of the image transform coefficients. In this paper, the coefficient thresholding and quantisation levels are based on the combined effects of spatial masking and the varying sensitivity of the human visual system to different spatial frequencies and levels of luminance. By combining the discretecosinetransform (DCT) method of image coding with psychovisual thresholding and quantisation schemes, subdistortion motion video bit-rates as low as 2.5 Mbit/s (non-interlaced 25 frame-per-second video) have been obtained without the need for interframe coding.
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