{"title":"分形图像压缩采用快速上下文无关HV分割方案和MRBH、MRBHM编码","authors":"U. Nandi, J. K. Mandal","doi":"10.1109/ACES.2014.6807989","DOIUrl":null,"url":null,"abstract":"In this paper, the performance in terms of compression rates of fractal image compression using Fast Context Independent HV partitioning (FCI-HV) scheme and its variant fractal image compression using Fast Low Context Dependent HV partitioning (FLCD-HV) scheme are improved by applying loss-less data compression techniques on the fractal compressed image. By using loss-less data compression techniques Modified Region Based Huffman with code interchange (MRBH) and its variant Modified Region Based Huffman with multiple interchanging of code (MRBHM), encoding of fractal compressed image into final compressed image and decoding of the final compressed image from fractal compressed image are done. The compression ratio, Peak Signal to Noise Ratio (PSNR) and compression time are determined for different images. The results show that significant improvement in the compression ratios are achieved in the proposed techniques maintaining PSNRs of images well. But, the proposed techniques are slow than its counterparts.","PeriodicalId":353124,"journal":{"name":"2014 First International Conference on Automation, Control, Energy and Systems (ACES)","volume":"9 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Fractal image compression using Fast Context Independent HV partitioning scheme and MRBH, MRBHM coding\",\"authors\":\"U. Nandi, J. K. Mandal\",\"doi\":\"10.1109/ACES.2014.6807989\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the performance in terms of compression rates of fractal image compression using Fast Context Independent HV partitioning (FCI-HV) scheme and its variant fractal image compression using Fast Low Context Dependent HV partitioning (FLCD-HV) scheme are improved by applying loss-less data compression techniques on the fractal compressed image. By using loss-less data compression techniques Modified Region Based Huffman with code interchange (MRBH) and its variant Modified Region Based Huffman with multiple interchanging of code (MRBHM), encoding of fractal compressed image into final compressed image and decoding of the final compressed image from fractal compressed image are done. The compression ratio, Peak Signal to Noise Ratio (PSNR) and compression time are determined for different images. The results show that significant improvement in the compression ratios are achieved in the proposed techniques maintaining PSNRs of images well. But, the proposed techniques are slow than its counterparts.\",\"PeriodicalId\":353124,\"journal\":{\"name\":\"2014 First International Conference on Automation, Control, Energy and Systems (ACES)\",\"volume\":\"9 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 First International Conference on Automation, Control, Energy and Systems (ACES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACES.2014.6807989\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 First International Conference on Automation, Control, Energy and Systems (ACES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACES.2014.6807989","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fractal image compression using Fast Context Independent HV partitioning scheme and MRBH, MRBHM coding
In this paper, the performance in terms of compression rates of fractal image compression using Fast Context Independent HV partitioning (FCI-HV) scheme and its variant fractal image compression using Fast Low Context Dependent HV partitioning (FLCD-HV) scheme are improved by applying loss-less data compression techniques on the fractal compressed image. By using loss-less data compression techniques Modified Region Based Huffman with code interchange (MRBH) and its variant Modified Region Based Huffman with multiple interchanging of code (MRBHM), encoding of fractal compressed image into final compressed image and decoding of the final compressed image from fractal compressed image are done. The compression ratio, Peak Signal to Noise Ratio (PSNR) and compression time are determined for different images. The results show that significant improvement in the compression ratios are achieved in the proposed techniques maintaining PSNRs of images well. But, the proposed techniques are slow than its counterparts.