Artit Visavakitcharoen, Yuma Kinoshita, H. Kobayashi, H. Kiya
{"title":"基于TMQI-II的JPEG XT标准色调映射图像质量优化","authors":"Artit Visavakitcharoen, Yuma Kinoshita, H. Kobayashi, H. Kiya","doi":"10.1109/ISPACS.2016.7824749","DOIUrl":null,"url":null,"abstract":"This paper proposes a quality improvement method of tone mapped images including compression distortion for the JPEG XT standard, which is a new compression standard for high dynamic range (HDR) images. HDR images are generally required to be mapped to low dynamic range (LDR) ones due to the limitation of display devices. Furthermore, the HDR ones include some compression distortion to be efficiently stored, in most cases. However, conventional tone mapping operations have not considered the effect of the distortion. We apply an iterative gradient ascend algorithm for improving the structural fidelity, which is based on the improved tone mapped image quality index (TMQI-II), under the use of the JPEG XT standard. Decompressed algorithm and the results are compared with those of original HDR ones. The experiment confirms that the images with better quality than images without optimization are provided by the proposed method and the quality is close to that of ones generated from the original HDR image without compression distortion.","PeriodicalId":131543,"journal":{"name":"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quality improvement of tone mapped images by TMQI-II based optimization for the JPEG XT standard\",\"authors\":\"Artit Visavakitcharoen, Yuma Kinoshita, H. Kobayashi, H. Kiya\",\"doi\":\"10.1109/ISPACS.2016.7824749\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a quality improvement method of tone mapped images including compression distortion for the JPEG XT standard, which is a new compression standard for high dynamic range (HDR) images. HDR images are generally required to be mapped to low dynamic range (LDR) ones due to the limitation of display devices. Furthermore, the HDR ones include some compression distortion to be efficiently stored, in most cases. However, conventional tone mapping operations have not considered the effect of the distortion. We apply an iterative gradient ascend algorithm for improving the structural fidelity, which is based on the improved tone mapped image quality index (TMQI-II), under the use of the JPEG XT standard. Decompressed algorithm and the results are compared with those of original HDR ones. The experiment confirms that the images with better quality than images without optimization are provided by the proposed method and the quality is close to that of ones generated from the original HDR image without compression distortion.\",\"PeriodicalId\":131543,\"journal\":{\"name\":\"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)\",\"volume\":\"94 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPACS.2016.7824749\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS.2016.7824749","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quality improvement of tone mapped images by TMQI-II based optimization for the JPEG XT standard
This paper proposes a quality improvement method of tone mapped images including compression distortion for the JPEG XT standard, which is a new compression standard for high dynamic range (HDR) images. HDR images are generally required to be mapped to low dynamic range (LDR) ones due to the limitation of display devices. Furthermore, the HDR ones include some compression distortion to be efficiently stored, in most cases. However, conventional tone mapping operations have not considered the effect of the distortion. We apply an iterative gradient ascend algorithm for improving the structural fidelity, which is based on the improved tone mapped image quality index (TMQI-II), under the use of the JPEG XT standard. Decompressed algorithm and the results are compared with those of original HDR ones. The experiment confirms that the images with better quality than images without optimization are provided by the proposed method and the quality is close to that of ones generated from the original HDR image without compression distortion.