Multi-Scale histogram tone mapping algorithm for display of wide dynamic range images

Jie Yang, Alain Hore, Ulian Shahnovich, Orly Yadid-Pecht

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

1 Scopus citations

Abstract

Maintaining brightness and preserving image contrast can be challenging when tone mapping wide dynamic range (WDR) images. In this paper, we present a novel tone mapping algorithm for compressing of WDR images. The algorithm processes WDR images in different scales. The overall brightness consistency and fine details are well preserved in large and small scales, respectively. A fusion method based on a multi-scale guided image filter is also proposed to synthesize all scales to generate the final image. Integral image and integral histogram are utilized in this algorithm which greatly reduces computation complexity and processing time. Experimental results show that our algorithm can produce visually appealing images with good brightness and high local contrast.

Original languageEnglish
Title of host publication2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538612514
DOIs
StatePublished - 9 Mar 2018
Externally publishedYes
Event7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017 - Curacao
Duration: 10 Dec 201713 Dec 2017

Publication series

Name2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017
Volume2017-December

Conference

Conference7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017
CityCuracao
Period10/12/1713/12/17

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