ArtHDR-Net: Perceptually realistic and accurate HDR content creation

Hrishav Bakul Barua, Ganesh Krishnasamy, Kok Sheik Wong, Kalin Stefanov, Abhinav Dhall

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

Abstract

High Dynamic Range (HDR) content creation has become an important topic for modern media and entertainment sectors, gaming and Augmented/Virtual Reality industries. Many methods have been proposed to recreate the HDR counterparts of input Low Dynamic Range (LDR) images/videos given a single exposure or multi-exposure LDRs. The state-of-the-art methods focus primarily on the preservation of the reconstruction's structural similarity and the pixel-wise accuracy. However, these conventional approaches do not emphasize preserving the artistic intent of the images in terms of human visual perception, which is an essential element in media, entertainment and gaming. In this paper, we attempt to study and fill this gap. We propose an architecture called ArtHDR-Net based on a Convolutional Neural Network that uses multi-exposed LDR features as input. Experimental results show that ArtHDR-Net can achieve state-of-the-art performance in terms of the HDR-VDP-2 score (i.e., mean opinion score index) while reaching competitive performance in terms of PSNR and SSIM.

Original languageEnglish
Title of host publication2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
EditorsTing-Lan Lin, Yoshinobu Kajikawa, Zhaoxia Yin
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages806-812
Number of pages7
ISBN (Electronic)9798350300673
ISBN (Print)9798350300680
DOIs
Publication statusPublished - 2023
EventAnnual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2023 - Taipei, Taiwan
Duration: 31 Oct 20233 Nov 2023
Conference number: 15th
https://www.apsipa2023.org/ (Website)
https://ieeexplore.ieee.org/xpl/conhome/10317071/proceeding (Proceedings)

Conference

ConferenceAnnual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2023
Abbreviated titleAPSIPA 2023
Country/TerritoryTaiwan
CityTaipei
Period31/10/233/11/23
Internet address

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