Abstract
Image Compression is to minimize the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. The compound image compression normally base d on three classification methods that is object ba sed, layer based and block based. This paper presents a block-based segmentati on. for visually lossless compression of scanned do cuments that contain not only photographic images but also text and graphic image s. In low bit rate applications they suffer with un desirable compression artifacts, especially for document images. Existing methods ca n reduce these artifacts by using post processing m ethods without changing the encoding process. Some of these post processing met hods requires classification of the encoded blocks into different categories.
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