{"title":"基于分形图像编码的超低比特率图像编码算法","authors":"M. Takezawa, M. Haseyama, H. Kitajima","doi":"10.1109/ISPA.2003.1296433","DOIUrl":null,"url":null,"abstract":"This paper proposes a low bit-rate fractal image coding algorithm for wireless communication. The fractal image coding is well known for its high compression performance. This performance is useful for future wireless communications with narrow-band. However, in order to become a powerful image coding technique for wireless communications, its reconstructed image quality must be improved. Therefore, to achieve further quality improvement, a novel fractal image coding algorithm is proposed. Some simulation results verify that the proposed method can reconstruct images with 1.4 dB higher quality than JPEG at low bit-rates below 0.12 bits pixel and also higher quality than JPEG2000 at very low bit-rates below 0.035-0.05 bits pixel.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"268 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Ultra low bit-rate image coding algorithm based on fractal image coding\",\"authors\":\"M. Takezawa, M. Haseyama, H. Kitajima\",\"doi\":\"10.1109/ISPA.2003.1296433\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a low bit-rate fractal image coding algorithm for wireless communication. The fractal image coding is well known for its high compression performance. This performance is useful for future wireless communications with narrow-band. However, in order to become a powerful image coding technique for wireless communications, its reconstructed image quality must be improved. Therefore, to achieve further quality improvement, a novel fractal image coding algorithm is proposed. Some simulation results verify that the proposed method can reconstruct images with 1.4 dB higher quality than JPEG at low bit-rates below 0.12 bits pixel and also higher quality than JPEG2000 at very low bit-rates below 0.035-0.05 bits pixel.\",\"PeriodicalId\":218932,\"journal\":{\"name\":\"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the\",\"volume\":\"268 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPA.2003.1296433\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPA.2003.1296433","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ultra low bit-rate image coding algorithm based on fractal image coding
This paper proposes a low bit-rate fractal image coding algorithm for wireless communication. The fractal image coding is well known for its high compression performance. This performance is useful for future wireless communications with narrow-band. However, in order to become a powerful image coding technique for wireless communications, its reconstructed image quality must be improved. Therefore, to achieve further quality improvement, a novel fractal image coding algorithm is proposed. Some simulation results verify that the proposed method can reconstruct images with 1.4 dB higher quality than JPEG at low bit-rates below 0.12 bits pixel and also higher quality than JPEG2000 at very low bit-rates below 0.035-0.05 bits pixel.