Using Vector Quantization for Image Processing
نویسندگان
چکیده
Image compression is the process of reducing the number of bits required to represent an image. Vector quantization, the mapping of pixel intensiry vectors into binary vectors indexing a limited number of possible reproductions, is a popular image compression algorithm. Compression has traditionally been done with little regard for image processing operations that may precede or follow the compression step. Recent work has used vector quantization both to simplify image processing tasks-such as enhancement, classification, halftoning, and edge detectio-nd to reduce the computational complexiry by performing them simultaneously with the compression. After briefly reviewing the fundamental ideas of vector quantization, we present a survey of vector quantization algorithms that perform image processing.
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Index Terms Computer Science [1] Sonal, Dinesh,kumar, "a Study Of Various Image Compression Technique", National Conference On Challenges And Opportunities In Information Technology, Hisar, 2007. [2] David Solomon, "data Compression", The Complete Reference, Third Edition. [3] Somasundaram And S. vimala, "codebook Generation For Vector Quantization With Edge Features&qu...
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