Optimized Tone Mapping of HDR Images via HVS Model-Based 2D Histogram Equalization

Nam Hoang Nguyen, Tu Van Vo, Younghoon Jeong, Youngsu Moon, Chul Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

We propose an optimized human visual system (HVS) response model-based tone-mapping algorithm to display high dynamic range (HDR) image content on standard dynamic range (SDR) displays. We first measure the HVS response differences using a 2D histogram when an HDR image is displayed on an HDR device and its tone-mapped image on an SDR device. Then, we formulate an optimization problem to minimize the difference. By efficiently solving the optimization problem with a closed-form solution, we obtain an optimal tone-mapping curve. Experiment results demonstrate that the proposed algorithm provides higher image quality than a conventional algorithm in the HDR10 standard.

Original languageEnglish
Title of host publication2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages700-704
Number of pages5
ISBN (Electronic)9789881476852
DOIs
StatePublished - 2 Jul 2018
Event10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Honolulu, United States
Duration: 12 Nov 201815 Nov 2018

Publication series

Name2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings

Conference

Conference10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018
Country/TerritoryUnited States
CityHonolulu
Period12/11/1815/11/18

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