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

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

doi:10.1109/CAMSAP.2017.8313070

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 proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781538612514
DOIs	https://doi.org/10.1109/CAMSAP.2017.8313070
State	Published - 9 Mar 2018
Externally published	Yes
Event	7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017 - Curacao Duration: 10 Dec 2017 → 13 Dec 2017

Publication series

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

Conference

Conference	7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017
City	Curacao
Period	10/12/17 → 13/12/17

ASJC Scopus subject areas

Signal Processing
Control and Optimization
Instrumentation

Access to Document

10.1109/CAMSAP.2017.8313070

Cite this

Yang, J., Hore, A., Shahnovich, U., & Yadid-Pecht, O. (2018). Multi-Scale histogram tone mapping algorithm for display of wide dynamic range images. In 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017 (pp. 1-5). Article 8313070 (2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017; Vol. 2017-December). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CAMSAP.2017.8313070

Yang, Jie ; Hore, Alain ; Shahnovich, Ulian et al. / Multi-Scale histogram tone mapping algorithm for display of wide dynamic range images. 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017. Institute of Electrical and Electronics Engineers, 2018. pp. 1-5 (2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017).

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title = "Multi-Scale histogram tone mapping algorithm for display of wide dynamic range images",

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.",

author = "Jie Yang and Alain Hore and Ulian Shahnovich and Orly Yadid-Pecht",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017 ; Conference date: 10-12-2017 Through 13-12-2017",

year = "2018",

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doi = "10.1109/CAMSAP.2017.8313070",

language = "English",

series = "2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017",

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Yang, J, Hore, A, Shahnovich, U & Yadid-Pecht, O 2018, Multi-Scale histogram tone mapping algorithm for display of wide dynamic range images. in 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017., 8313070, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017, vol. 2017-December, Institute of Electrical and Electronics Engineers, pp. 1-5, 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017, Curacao, 10/12/17. https://doi.org/10.1109/CAMSAP.2017.8313070

Multi-Scale histogram tone mapping algorithm for display of wide dynamic range images. / Yang, Jie; Hore, Alain; Shahnovich, Ulian et al.
2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017. Institute of Electrical and Electronics Engineers, 2018. p. 1-5 8313070 (2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017; Vol. 2017-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multi-Scale histogram tone mapping algorithm for display of wide dynamic range images

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AU - Hore, Alain

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AU - Yadid-Pecht, Orly

PY - 2018/3/9

Y1 - 2018/3/9

N2 - 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.

AB - 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.

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M3 - Conference contribution

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

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Yang J, Hore A, Shahnovich U, Yadid-Pecht O. Multi-Scale histogram tone mapping algorithm for display of wide dynamic range images. In 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017. Institute of Electrical and Electronics Engineers. 2018. p. 1-5. 8313070. (2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017). doi: 10.1109/CAMSAP.2017.8313070

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

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