{"title":"基于提升方案和SPIHT的数字相机图像压缩","authors":"Songzhao Xie, Chengyou Wang, Zhiqiang Yang","doi":"10.1109/ICWAPR.2013.6599310","DOIUrl":null,"url":null,"abstract":"In order to avoid data redundancy, many methods of compressing Bayer images before interpolation were proposed. Structure conversion presented by Koh has been an effective method for Bayer patterned images to improve the compression quality. On this basis, Xie proposed an improved structure conversion algorithm to further improve the compression performance. Combining the improved structure conversion using 9/7 wavelet transform with lifting scheme and set partitioning in hierarchical trees (SPIHT) algorithm, this paper proposes an efficient method in digital cameras with color filter array (CFA). Experimental results show that the proposed algorithm outperforms the improved structure conversion algorithm both in objective and subjective aspects.","PeriodicalId":236156,"journal":{"name":"2013 International Conference on Wavelet Analysis and Pattern Recognition","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Image compression using wavelet transform with lifting scheme and SPIHT in digital cameras for Bayer CFA\",\"authors\":\"Songzhao Xie, Chengyou Wang, Zhiqiang Yang\",\"doi\":\"10.1109/ICWAPR.2013.6599310\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to avoid data redundancy, many methods of compressing Bayer images before interpolation were proposed. Structure conversion presented by Koh has been an effective method for Bayer patterned images to improve the compression quality. On this basis, Xie proposed an improved structure conversion algorithm to further improve the compression performance. Combining the improved structure conversion using 9/7 wavelet transform with lifting scheme and set partitioning in hierarchical trees (SPIHT) algorithm, this paper proposes an efficient method in digital cameras with color filter array (CFA). Experimental results show that the proposed algorithm outperforms the improved structure conversion algorithm both in objective and subjective aspects.\",\"PeriodicalId\":236156,\"journal\":{\"name\":\"2013 International Conference on Wavelet Analysis and Pattern Recognition\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Wavelet Analysis and Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWAPR.2013.6599310\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Wavelet Analysis and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWAPR.2013.6599310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image compression using wavelet transform with lifting scheme and SPIHT in digital cameras for Bayer CFA
In order to avoid data redundancy, many methods of compressing Bayer images before interpolation were proposed. Structure conversion presented by Koh has been an effective method for Bayer patterned images to improve the compression quality. On this basis, Xie proposed an improved structure conversion algorithm to further improve the compression performance. Combining the improved structure conversion using 9/7 wavelet transform with lifting scheme and set partitioning in hierarchical trees (SPIHT) algorithm, this paper proposes an efficient method in digital cameras with color filter array (CFA). Experimental results show that the proposed algorithm outperforms the improved structure conversion algorithm both in objective and subjective aspects.
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