{"title":"Efficient Delivery of Very High Dynamic Range Compressed Imagery by Dynamic-Range-of-Interest","authors":"Lan Liu, D. Taubman","doi":"10.1109/PCS48520.2019.8954556","DOIUrl":null,"url":null,"abstract":"JPEG 2000 allows scenes to be encoded in a highly scalable and accessible manner, so that only the content that is relevant to a region or resolution of interest need be transmitted and decoded. This paper extends this property to allow efficient access into compressed images that have a very high dynamic range, based on a dynamic-range-of-interest. Optimized re-prioritization of the encoded content is used to stream imagery based on a potentially dynamic set of viewing conditions that implicitly identify the visual significance of content. We propose and validate a framework for doing this, based on a single compressed representation, a sparse set of display-independent luminance statistics and a novel algorithm for inferring the display-dependent significance of code-block distortions.","PeriodicalId":237809,"journal":{"name":"2019 Picture Coding Symposium (PCS)","volume":"51 S258","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Picture Coding Symposium (PCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCS48520.2019.8954556","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
JPEG 2000 allows scenes to be encoded in a highly scalable and accessible manner, so that only the content that is relevant to a region or resolution of interest need be transmitted and decoded. This paper extends this property to allow efficient access into compressed images that have a very high dynamic range, based on a dynamic-range-of-interest. Optimized re-prioritization of the encoded content is used to stream imagery based on a potentially dynamic set of viewing conditions that implicitly identify the visual significance of content. We propose and validate a framework for doing this, based on a single compressed representation, a sparse set of display-independent luminance statistics and a novel algorithm for inferring the display-dependent significance of code-block distortions.
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