In order to improve compression ratio in image processing,vast amounts of algorithms have been offered and acquired desirable results by many eminent *** example,fractalcoding and Block Truncation coding both can obt...
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In order to improve compression ratio in image processing,vast amounts of algorithms have been offered and acquired desirable results by many eminent *** example,fractalcoding and Block Truncation coding both can obtain higher compression ratios than other approaches,but on the other hand,some drawbacks also be brought with these algorithms such as longer time consumed in coding course,the accuracy of image reconstruction,and so *** these disadvantages may be impede,some practical applications of relevant methods,researchers still find some effective implements just rely on their advantages,especially in image *** this paper,we deploy btc during the coding course of fractalcode to decrease the coding time and image retrieval time,through classifying image blocks of fractalcode into two *** results show that this hybridmethod is fruitful to compare single method.
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