{"title":"基于嵌入式分块技术的彩色图像编码","authors":"R. K. Senapati, P. Prasad","doi":"10.1109/INDICON.2014.7030604","DOIUrl":null,"url":null,"abstract":"In this paper, an efficient, low memory embedded wavelet based color image coding technique is presented. The proposed algorithm is a listless variant of improved color set partitioning embedded block coding (CSPECK) algorithm. The inter-dependency among color planes is exploited by using novel clustering arrangement of luminance and chrominance subbands. This facilitate to encode simultaneously inter and intra subbands of luminance and chrominance components located at the same spatial locations in a hierarchical wavelet arrangement. This technique shows a significant improvement of peak-signal-to-noise-ratio (PSNR) values in most of the standard color images and videos at lower bit rates. The memory requirement of the coder is reduced by almost 84% than CSPECK.","PeriodicalId":409794,"journal":{"name":"2014 Annual IEEE India Conference (INDICON)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Color image coding using a novel block based embedded technique\",\"authors\":\"R. K. Senapati, P. Prasad\",\"doi\":\"10.1109/INDICON.2014.7030604\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an efficient, low memory embedded wavelet based color image coding technique is presented. The proposed algorithm is a listless variant of improved color set partitioning embedded block coding (CSPECK) algorithm. The inter-dependency among color planes is exploited by using novel clustering arrangement of luminance and chrominance subbands. This facilitate to encode simultaneously inter and intra subbands of luminance and chrominance components located at the same spatial locations in a hierarchical wavelet arrangement. This technique shows a significant improvement of peak-signal-to-noise-ratio (PSNR) values in most of the standard color images and videos at lower bit rates. The memory requirement of the coder is reduced by almost 84% than CSPECK.\",\"PeriodicalId\":409794,\"journal\":{\"name\":\"2014 Annual IEEE India Conference (INDICON)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Annual IEEE India Conference (INDICON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INDICON.2014.7030604\",\"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 Annual IEEE India Conference (INDICON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDICON.2014.7030604","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Color image coding using a novel block based embedded technique
In this paper, an efficient, low memory embedded wavelet based color image coding technique is presented. The proposed algorithm is a listless variant of improved color set partitioning embedded block coding (CSPECK) algorithm. The inter-dependency among color planes is exploited by using novel clustering arrangement of luminance and chrominance subbands. This facilitate to encode simultaneously inter and intra subbands of luminance and chrominance components located at the same spatial locations in a hierarchical wavelet arrangement. This technique shows a significant improvement of peak-signal-to-noise-ratio (PSNR) values in most of the standard color images and videos at lower bit rates. The memory requirement of the coder is reduced by almost 84% than CSPECK.