{"title":"一种用于胶片还原的人类色彩视觉计算模型","authors":"A. Plutino, Beatrice Sarti, L. Armellin, A. Rizzi","doi":"10.2478/gth-2022-0005","DOIUrl":null,"url":null,"abstract":"Abstract Even today, film restoration (both photographic and cinematographic) is a challenge, because it involves multidisciplinary competences: from analogue film inspection and conservation to digitisation and image enhancement. In this context, thanks to the high manageability of digital files, the film restoration workflow often follows a digitisation step, which presents many approximations and issues that are often ignored. In this work, we propose an alternative approach to the issues commonly encountered in film restoration (mainly concerning colour and contrast restoration) aiming at restoring the original colour appearance, through models of human colour perception.","PeriodicalId":33799,"journal":{"name":"Gestalt Theory","volume":"44 1","pages":"175 - 182"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Computational Model of Human Colour Vision for Film Restoration\",\"authors\":\"A. Plutino, Beatrice Sarti, L. Armellin, A. Rizzi\",\"doi\":\"10.2478/gth-2022-0005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Even today, film restoration (both photographic and cinematographic) is a challenge, because it involves multidisciplinary competences: from analogue film inspection and conservation to digitisation and image enhancement. In this context, thanks to the high manageability of digital files, the film restoration workflow often follows a digitisation step, which presents many approximations and issues that are often ignored. In this work, we propose an alternative approach to the issues commonly encountered in film restoration (mainly concerning colour and contrast restoration) aiming at restoring the original colour appearance, through models of human colour perception.\",\"PeriodicalId\":33799,\"journal\":{\"name\":\"Gestalt Theory\",\"volume\":\"44 1\",\"pages\":\"175 - 182\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Gestalt Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/gth-2022-0005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gestalt Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/gth-2022-0005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Computational Model of Human Colour Vision for Film Restoration
Abstract Even today, film restoration (both photographic and cinematographic) is a challenge, because it involves multidisciplinary competences: from analogue film inspection and conservation to digitisation and image enhancement. In this context, thanks to the high manageability of digital files, the film restoration workflow often follows a digitisation step, which presents many approximations and issues that are often ignored. In this work, we propose an alternative approach to the issues commonly encountered in film restoration (mainly concerning colour and contrast restoration) aiming at restoring the original colour appearance, through models of human colour perception.