Analysis of color rendering transformation effects on dehazing performance

Yeejin Lee; Truong Q. Nguyen

doi:10.1109/ISOCC.2015.7401778

Analysis of color rendering transformation effects on dehazing performance

Yeejin Lee, Truong Q. Nguyen

Dept. of Electrical and Information Engineering

University of California at San Diego

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

3 Scopus citations

Abstract

Dehazing is an image restoration technique generally applied as a post-processing step in a camera processing pipeline. The performance of dehazing algorithms is strongly dependent on the electro-optics transfer curve of image acquisition. In order to reduce color distortion on restored images, we investigate how color rendering transformations affect the dehazing algorithms in a camera processing pipeline. First, we develop numerical analysis on how a hazy image model is modified by color rendering transformations in a pipeline. Based on the analysis and observations, we conclude that better dehazing performance can be achieved when a dehazing algorithm is applied before color rendering transformations. In addition to the theoretical analysis, experimental results validate our conclusion.

Original language	English
Title of host publication	ISOCC 2015 - International SoC Design Conference
Subtitle of host publication	SoC for Internet of Everything (IoE)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	181-182
Number of pages	2
ISBN (Electronic)	9781467393089
DOIs	https://doi.org/10.1109/ISOCC.2015.7401778
State	Published - 8 Feb 2016
Event	12th International SoC Design Conference, ISOCC 2015 - Gyeongju, Korea, Republic of Duration: 2 Nov 2015 → 5 Nov 2015

Publication series

Name	ISOCC 2015 - International SoC Design Conference: SoC for Internet of Everything (IoE)

Conference

Conference	12th International SoC Design Conference, ISOCC 2015
Country/Territory	Korea, Republic of
City	Gyeongju
Period	2/11/15 → 5/11/15

Keywords

advanced driver assistance systems
color rendering transformation
dehazing/defogging
gamma correction
image enhancement
image signal processor

Access to Document

10.1109/ISOCC.2015.7401778

Cite this

Lee, Y., & Nguyen, T. Q. (2016). Analysis of color rendering transformation effects on dehazing performance. In ISOCC 2015 - International SoC Design Conference: SoC for Internet of Everything (IoE) (pp. 181-182). Article 7401778 (ISOCC 2015 - International SoC Design Conference: SoC for Internet of Everything (IoE)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISOCC.2015.7401778

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title = "Analysis of color rendering transformation effects on dehazing performance",

abstract = "Dehazing is an image restoration technique generally applied as a post-processing step in a camera processing pipeline. The performance of dehazing algorithms is strongly dependent on the electro-optics transfer curve of image acquisition. In order to reduce color distortion on restored images, we investigate how color rendering transformations affect the dehazing algorithms in a camera processing pipeline. First, we develop numerical analysis on how a hazy image model is modified by color rendering transformations in a pipeline. Based on the analysis and observations, we conclude that better dehazing performance can be achieved when a dehazing algorithm is applied before color rendering transformations. In addition to the theoretical analysis, experimental results validate our conclusion.",

keywords = "advanced driver assistance systems, color rendering transformation, dehazing/defogging, gamma correction, image enhancement, image signal processor",

author = "Yeejin Lee and Nguyen, \{Truong Q.\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 12th International SoC Design Conference, ISOCC 2015 ; Conference date: 02-11-2015 Through 05-11-2015",

year = "2016",

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doi = "10.1109/ISOCC.2015.7401778",

language = "English",

series = "ISOCC 2015 - International SoC Design Conference: SoC for Internet of Everything (IoE)",

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Lee, Y & Nguyen, TQ 2016, Analysis of color rendering transformation effects on dehazing performance. in ISOCC 2015 - International SoC Design Conference: SoC for Internet of Everything (IoE)., 7401778, ISOCC 2015 - International SoC Design Conference: SoC for Internet of Everything (IoE), Institute of Electrical and Electronics Engineers Inc., pp. 181-182, 12th International SoC Design Conference, ISOCC 2015, Gyeongju, Korea, Republic of, 2/11/15. https://doi.org/10.1109/ISOCC.2015.7401778

Analysis of color rendering transformation effects on dehazing performance. / Lee, Yeejin; Nguyen, Truong Q.
ISOCC 2015 - International SoC Design Conference: SoC for Internet of Everything (IoE). Institute of Electrical and Electronics Engineers Inc., 2016. p. 181-182 7401778 (ISOCC 2015 - International SoC Design Conference: SoC for Internet of Everything (IoE)).

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

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AU - Nguyen, Truong Q.

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N2 - Dehazing is an image restoration technique generally applied as a post-processing step in a camera processing pipeline. The performance of dehazing algorithms is strongly dependent on the electro-optics transfer curve of image acquisition. In order to reduce color distortion on restored images, we investigate how color rendering transformations affect the dehazing algorithms in a camera processing pipeline. First, we develop numerical analysis on how a hazy image model is modified by color rendering transformations in a pipeline. Based on the analysis and observations, we conclude that better dehazing performance can be achieved when a dehazing algorithm is applied before color rendering transformations. In addition to the theoretical analysis, experimental results validate our conclusion.

AB - Dehazing is an image restoration technique generally applied as a post-processing step in a camera processing pipeline. The performance of dehazing algorithms is strongly dependent on the electro-optics transfer curve of image acquisition. In order to reduce color distortion on restored images, we investigate how color rendering transformations affect the dehazing algorithms in a camera processing pipeline. First, we develop numerical analysis on how a hazy image model is modified by color rendering transformations in a pipeline. Based on the analysis and observations, we conclude that better dehazing performance can be achieved when a dehazing algorithm is applied before color rendering transformations. In addition to the theoretical analysis, experimental results validate our conclusion.

KW - advanced driver assistance systems

KW - color rendering transformation

KW - dehazing/defogging

KW - gamma correction

KW - image enhancement

KW - image signal processor

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M3 - Conference contribution

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BT - ISOCC 2015 - International SoC Design Conference

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Lee Y, Nguyen TQ. Analysis of color rendering transformation effects on dehazing performance. In ISOCC 2015 - International SoC Design Conference: SoC for Internet of Everything (IoE). Institute of Electrical and Electronics Engineers Inc. 2016. p. 181-182. 7401778. (ISOCC 2015 - International SoC Design Conference: SoC for Internet of Everything (IoE)). doi: 10.1109/ISOCC.2015.7401778

Analysis of color rendering transformation effects on dehazing performance

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