{"title":"FRACTAL COLOR IMAGE COMPRESSION USING A FAST ENCODING ALGORITHM","authors":"Muhammad Anwar, G. Raja","doi":"10.25211/JEAS.V29I2.458.G312","DOIUrl":null,"url":null,"abstract":"In this paper a fast fractal encoding algorithm based on the law of cosines is implemented in MATLAB for color images. The implementation results sho w that the algorithm reduces the average number of searched domain blocks for each range block by a considerable amount as compared to exhaustive search , consequently reducing the encoding time . In addition , we get a completely identical fractal code to that of exhaustive search resulting in the same reconstructed image quality . Moreover a general iterative fractal decoding algorithm is also implemented and the PSNRs of the decoded RGB components are plotted against the num ber of decoder iterations , These convergence plots show that the components reach the fixed point after 6 - 7 decoding iterations .","PeriodicalId":167225,"journal":{"name":"Journal of Engineering and Applied Sciences , University of Engineering and Technology, Peshawar","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Engineering and Applied Sciences , University of Engineering and Technology, Peshawar","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25211/JEAS.V29I2.458.G312","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper a fast fractal encoding algorithm based on the law of cosines is implemented in MATLAB for color images. The implementation results sho w that the algorithm reduces the average number of searched domain blocks for each range block by a considerable amount as compared to exhaustive search , consequently reducing the encoding time . In addition , we get a completely identical fractal code to that of exhaustive search resulting in the same reconstructed image quality . Moreover a general iterative fractal decoding algorithm is also implemented and the PSNRs of the decoded RGB components are plotted against the num ber of decoder iterations , These convergence plots show that the components reach the fixed point after 6 - 7 decoding iterations .