The Study In Image Compression Coding Based On Subband Absolute Moment Block Truncation Conding

With the development of multimedia technology, the image compression hasbecome more and more important in the field of image processing. It's analyzed thatthere are better correlations between neighbor pixels inside source image data. Bettercompression ratios could be reached through transformations from space field tofrequencyfield.Some experiments have proved that the combination of Block Truncation Codingtechnique and Subband Coding can get the reconstructed picture of a little raggedness ofsharp edges, which makes use of the masking property in human vision. SubbandAMBTC not only outperforms full-band AMBTC by a great margin but also presentscertain intrinsic merits for real-time and flexible implementations, especially tofacsimile and progressive coding of future HDTV and high-resolution visualcommunications.In this paper, it focuses on the research of the decomposition and synthesis ofimage based on the perfect-reconstruction filter banks and Absolute Moment BlockTruncation Coding. Then we combine the Absolute Moment Block Trncation Codingand Subband Coding,which is called Subband Aboslute Moment Block TrncationCoding (SAMBTC). After we introduce the relative merits and implementationprocedure of SAMBTC, a novel algorithm of SAMBTC based on MMSE is presentedin this paper, which is not only to effectively eliminate the blocking effect even with atwo-tap QMF bank, but also to improve the compression ratio and PSNR of thereconstructed image. Experiment results illustrate that the novel algorithm of SAMBTCbased on MMSE is successfully applied to the gray images which has little details withgood real-time transmission and achieving better imaging quality. This algorithm is alsoused in color images because of its simple and fast computation with some chromaticaberration.