期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2014
卷号：5
期号：2
页码：73
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：With the increase in demand, product of multimedia is increasing fast and thus contributes to insufficientnetwork bandwidth and memory storage. Therefore image compression is more significant for reducingdata redundancy for save more memory and transmission bandwidth. An efficient compression techniquehas been proposed which combines fuzzy logic with that of Huffman coding. While normalizing imagepixel, each value of pixel image belonging to that image foreground are characterized and interpreted. Theimage is sub divided into pixel which is then characterized by a pair of set of approximation. Hereencoding represent Huffman code which is statistically independent to produce more efficient code forcompression and decoding represents rough fuzzy logic which is used to rebuilt the pixel of image. Themethod used here are rough fuzzy logic with Huffman coding algorithm (RFHA). Here comparison ofdifferent compression techniques with Huffman coding is done and fuzzy logic is applied on the Huffmanreconstructed image. Result shows that high compression rates are achieved and visually negligibledifference between compressed images and original images.
