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Temporally coherent local tone mapping of HDR video

Published: 19 November 2014 Publication History

Abstract

Recent subjective studies showed that current tone mapping operators either produce disturbing temporal artifacts, or are limited in their local contrast reproduction capability. We address both of these issues and present an HDR video tone mapping operator that can greatly reduce the input dynamic range, while at the same time preserving scene details without causing significant visual artifacts. To achieve this, we revisit the commonly used spatial base-detail layer decomposition and extend it to the temporal domain. We achieve high quality spatiotemporal edge-aware filtering efficiently by using a mathematically justified iterative approach that approximates a global solution. Comparison with the state-of-the-art, both qualitatively, and quantitatively through a controlled subjective experiment, clearly shows our method's advantages over previous work. We present local tone mapping results on challenging high resolution scenes with complex motion and varying illumination. We also demonstrate our method's capability of preserving scene details at user adjustable scales, and its advantages for low light video sequences with significant camera noise.

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Published In

cover image ACM Transactions on Graphics
ACM Transactions on Graphics  Volume 33, Issue 6
November 2014
704 pages
ISSN:0730-0301
EISSN:1557-7368
DOI:10.1145/2661229
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 19 November 2014
Published in TOG Volume 33, Issue 6

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  1. edge-aware video filtering
  2. video tone mapping

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  • (2024)Unsupervised HDR Image and Video Tone Mapping via Contrastive LearningIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2023.329035134:2(786-798)Online publication date: 1-Feb-2024
  • (2024)A Joint Network for Low-Light Image Enhancement Based on RetinexCognitive Computation10.1007/s12559-024-10347-4Online publication date: 16-Sep-2024
  • (2023)Perceptually Adaptive Real-Time Tone MappingSIGGRAPH Asia 2023 Conference Papers10.1145/3610548.3618222(1-10)Online publication date: 10-Dec-2023
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