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- W2079630139 abstract "ABSTRACT The Visual Pattern Image Coding (VPIC) technique appears to be a powerful competitor to VQ approaches forimage coding since no codebook is needed. In VPIC, edge patterns within 4x4 blocks are detected and preserved.We report on the results of an alternative edge-preserving lossy compression algorithm that employs an edge-detection operator for identifying edge pixels for special treatment. A combination of the zero-tree approach ofsubband coding and the deterministic prediction approach of JBIG identifies blocks without edge pixels. Predictivecoding is heavily employed in compressing the block mean values. A smoothing algorithm is applied to the meansof the 4x4 blocks that serves the dual purpose of predicting whether an edge pixel value is above or below themean. 1 Introduction This work studies the effectiveness of identifying edge pixels for special treatment in a lossy compressionalgorithm. One way of identifying an edge is employed in VPIC [1]. The VPIC edge-pixel blocks are calculatedby determining a gradient within the block. Blocks whose gradient exceeds a threshold become edge blocks, andreceive special treatment.This work belongs to the context of progressive and non-progressive block coding, and the VPIE technique. Weexplore the alternative of determining edge blocks by using an edge operator, in this case the Sobel operator. Wecall this approach SBV (Sobel-based VPIC). Here, a block with 3 or more edge points is an edge block. Certain2-pixel edge locations are also edge blocks. A coding overhead is incurred in coding these pixel locations; howeverthe overhead minimizes edge-relocation problems and does not require the edges to have one of 8 orientations.Unfortunately, the mse value does not accurately quantify a more accurate treatment of edge locations.As in VPIC, non-edge blocks are represented by the mean value, but a smoothing operator blends the blockedges in addition to predicting edge polarity. Edge blocks are reconstructed by accentuating the value of edgepixels to be above or below the mean value." @default.
- W2079630139 created "2016-06-24" @default.
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- W2079630139 date "1995-08-22" @default.
- W2079630139 modified "2023-09-26" @default.
- W2079630139 title "<title>Study of edge-based lossy image compression algorithms</title>" @default.
- W2079630139 doi "https://doi.org/10.1117/12.217388" @default.
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