{"title":"BTC图像编码与视觉模式","authors":"Tuk Po Chun, B. Zeng, M. L. Liou","doi":"10.1109/APCCAS.1994.514628","DOIUrl":null,"url":null,"abstract":"This paper presents a block truncation coding (BTC) scheme for image compression that employs visual patterns designed independently of the image to be coded. In this method, image blocks are first classified into three classes: uniform, gentle edge, and sharp edge, according to their variations. Design focus is on edge blocks, where two sets of patterns, namely, visual patterns and visual row patterns are used. Different quantization is performed on the mean values of each block according to its block type. Experimental results show that the proposed BTC scheme can achieve PSNR about 30 dB at bit rate 0.46/spl sim/0.53 bpp (for the image Lenna of size 512/spl times/512).","PeriodicalId":231368,"journal":{"name":"Proceedings of APCCAS'94 - 1994 Asia Pacific Conference on Circuits and Systems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"BTC image coding with visual patterns\",\"authors\":\"Tuk Po Chun, B. Zeng, M. L. Liou\",\"doi\":\"10.1109/APCCAS.1994.514628\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a block truncation coding (BTC) scheme for image compression that employs visual patterns designed independently of the image to be coded. In this method, image blocks are first classified into three classes: uniform, gentle edge, and sharp edge, according to their variations. Design focus is on edge blocks, where two sets of patterns, namely, visual patterns and visual row patterns are used. Different quantization is performed on the mean values of each block according to its block type. Experimental results show that the proposed BTC scheme can achieve PSNR about 30 dB at bit rate 0.46/spl sim/0.53 bpp (for the image Lenna of size 512/spl times/512).\",\"PeriodicalId\":231368,\"journal\":{\"name\":\"Proceedings of APCCAS'94 - 1994 Asia Pacific Conference on Circuits and Systems\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of APCCAS'94 - 1994 Asia Pacific Conference on Circuits and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APCCAS.1994.514628\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of APCCAS'94 - 1994 Asia Pacific Conference on Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCCAS.1994.514628","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a block truncation coding (BTC) scheme for image compression that employs visual patterns designed independently of the image to be coded. In this method, image blocks are first classified into three classes: uniform, gentle edge, and sharp edge, according to their variations. Design focus is on edge blocks, where two sets of patterns, namely, visual patterns and visual row patterns are used. Different quantization is performed on the mean values of each block according to its block type. Experimental results show that the proposed BTC scheme can achieve PSNR about 30 dB at bit rate 0.46/spl sim/0.53 bpp (for the image Lenna of size 512/spl times/512).
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
