Enhanced Bidirectional Motion Estimation Using Feature Refinement for HDR Imaging

An Gia Vien, Truong Thanh Nhat Mai, Seonghyun Park, Gahyeon Kim, Chul Lee

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

Abstract

We propose a high dynamic range (HDR) image synthesis algorithm based on enhanced bidirectional motion estimation using feature refinement. First, we extract multiscale features from input low dynamic range (LDR) images and then estimate accurate motion vector fields between them in a coarse-to-fine manner via progressive refinement. Then, we estimate adaptive local kernels to merge only valid information in the spatio-exposed neighboring pixels for synthesis. Finally, we refine the initially merged image by exploiting global information to further improve synthesis performance. Experimental results show that the proposed algorithm outperforms state-of-the-art algorithms in quantitative and qualitative comparisons.

Original languageEnglish
Title of host publicationProceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1025-1029
Number of pages5
ISBN (Electronic)9786165904773
DOIs
StatePublished - 2022
Event2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022 - Chiang Mai, Thailand
Duration: 7 Nov 202210 Nov 2022

Publication series

NameProceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022

Conference

Conference2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
Country/TerritoryThailand
CityChiang Mai
Period7/11/2210/11/22

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