High dynamic range image tone mapping based on asymmetric model of retinal adaptation
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Dae-Hong | - |
dc.contributor.author | Fan, Ming | - |
dc.contributor.author | Kim, Seung-Wook | - |
dc.contributor.author | Kang, Mun-Cheon | - |
dc.contributor.author | Ko, Sung-Jea | - |
dc.date.accessioned | 2021-09-02T06:11:30Z | - |
dc.date.available | 2021-09-02T06:11:30Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2018-10 | - |
dc.identifier.issn | 0923-5965 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/73034 | - |
dc.description.abstract | Global tone mapping operators using the symmetrical retinal response model to light tend to produce a low dynamic range (LDR) image that exhibits loss of details of its corresponding high dynamic range (HDR) image in a bright or dark area. In this paper, we introduce a new asymmetric sigmoid curve (ASC) based on the model of retinal adaptation encompassing symmetrical S-shaped curve, and present two global tone mapping operators by using the ASC. In the proposed method, an ASC-based tone mapping function is obtained by using a well-known classic photography technique, called zone system. In addition, a contrast-enhancing tone mapping function is introduced by formulating a bi-criteria optimization problem with the luminance histogram of an input HDR image and the ASC-based mapping function. Experimental results demonstrate that the proposed method enhances the global contrast while preserving image details in the tone-mapped LDR image. Moreover, the objective assessment results using an image quality metric indicate that the proposed method shows a high performance to state-of-the-art global tone mapping operators. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.subject | REPRODUCTION | - |
dc.subject | DISPLAY | - |
dc.subject | SCENES | - |
dc.title | High dynamic range image tone mapping based on asymmetric model of retinal adaptation | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ko, Sung-Jea | - |
dc.identifier.doi | 10.1016/j.image.2018.07.008 | - |
dc.identifier.scopusid | 2-s2.0-85050517783 | - |
dc.identifier.wosid | 000447572100010 | - |
dc.identifier.bibliographicCitation | SIGNAL PROCESSING-IMAGE COMMUNICATION, v.68, pp.120 - 128 | - |
dc.relation.isPartOf | SIGNAL PROCESSING-IMAGE COMMUNICATION | - |
dc.citation.title | SIGNAL PROCESSING-IMAGE COMMUNICATION | - |
dc.citation.volume | 68 | - |
dc.citation.startPage | 120 | - |
dc.citation.endPage | 128 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | REPRODUCTION | - |
dc.subject.keywordPlus | DISPLAY | - |
dc.subject.keywordPlus | SCENES | - |
dc.subject.keywordAuthor | High dynamic range image | - |
dc.subject.keywordAuthor | Tone mapping operator | - |
dc.subject.keywordAuthor | Retina response model | - |
dc.subject.keywordAuthor | Perceptual image processing | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.