W. Hachicha, M. Kaaniche, Azeddine Beghdadi, F. A. Cheikh
{"title":"优化残差图像立体图像编码","authors":"W. Hachicha, M. Kaaniche, Azeddine Beghdadi, F. A. Cheikh","doi":"10.1109/EUVIP.2014.7018400","DOIUrl":null,"url":null,"abstract":"Many research works have been developed for stereo image compression purpose by focusing on the disparity compensation technique. For this reason, a great attention should be paid to the generation of the disparity-compensated residual image. Generally, the residual image is computed through a simple substruction of the disparity-compensated reference image from the target one. In this paper, we investigate two techniques for optimizing the computation of the residual image. The obtained results confirm the benefits of these optimization approaches in the context of stereo image coding.","PeriodicalId":442246,"journal":{"name":"2014 5th European Workshop on Visual Information Processing (EUVIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimized residual image for stereo image coding\",\"authors\":\"W. Hachicha, M. Kaaniche, Azeddine Beghdadi, F. A. Cheikh\",\"doi\":\"10.1109/EUVIP.2014.7018400\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many research works have been developed for stereo image compression purpose by focusing on the disparity compensation technique. For this reason, a great attention should be paid to the generation of the disparity-compensated residual image. Generally, the residual image is computed through a simple substruction of the disparity-compensated reference image from the target one. In this paper, we investigate two techniques for optimizing the computation of the residual image. The obtained results confirm the benefits of these optimization approaches in the context of stereo image coding.\",\"PeriodicalId\":442246,\"journal\":{\"name\":\"2014 5th European Workshop on Visual Information Processing (EUVIP)\",\"volume\":\"1 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 5th European Workshop on Visual Information Processing (EUVIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EUVIP.2014.7018400\",\"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 5th European Workshop on Visual Information Processing (EUVIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EUVIP.2014.7018400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Many research works have been developed for stereo image compression purpose by focusing on the disparity compensation technique. For this reason, a great attention should be paid to the generation of the disparity-compensated residual image. Generally, the residual image is computed through a simple substruction of the disparity-compensated reference image from the target one. In this paper, we investigate two techniques for optimizing the computation of the residual image. The obtained results confirm the benefits of these optimization approaches in the context of stereo image coding.