Nonlinear Local-pixel-shifting Color Constancy Algorithm

Most color constancy algorithms implement a color correction process that performs globally for the entire input pixel image. This process leads to a saturation problem and overcorrected images, especially in overexposed regions, thereby resulting in contrast inconsistency and incorrect true-color i...

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Main Authors:	Wan Muhammad Syahrir, Wan Hussin, Mohd Naim, Mohd Jain Noordin, Nor Ashidi, Mat Isa
Format:	Article
Language:	English
Published:	Springer US 2018
Subjects:	TC Hydraulic engineering. Ocean engineering TR Photography
Online Access:	http://umpir.ump.edu.my/id/eprint/23233/ http://umpir.ump.edu.my/id/eprint/23233/ http://umpir.ump.edu.my/id/eprint/23233/ http://umpir.ump.edu.my/id/eprint/23233/1/NonlinearLocal-pixel-shifting1.pdf

id	ump-23233
recordtype	eprints
spelling	ump-232332019-01-03T07:41:37Z http://umpir.ump.edu.my/id/eprint/23233/ Nonlinear Local-pixel-shifting Color Constancy Algorithm Wan Muhammad Syahrir, Wan Hussin Mohd Naim, Mohd Jain Noordin Nor Ashidi, Mat Isa TC Hydraulic engineering. Ocean engineering TR Photography Most color constancy algorithms implement a color correction process that performs globally for the entire input pixel image. This process leads to a saturation problem and overcorrected images, especially in overexposed regions, thereby resulting in contrast inconsistency and incorrect true-color image objects. Each pixel in an input image should have a different correction range value. Pixels with high probability to be saturated or overcorrected should not be treated similarly as pixels with low probability. Thus, this study proposes a new color correction algorithm that aims to reduce the effects of the saturation phenomenon and overcorrected color images while enhancing the image contrast. To achieve this objective, the proposed algorithm consists of two main processes, namely, color correction and contrast enhancement. A shifting process is nonlinearly applied to each pixel in a 2D two-channel CIELAB color space. Each pixel has a different corrected rate depending on the adaptive limit value and the reference point. Subsequently, the global and local contrast corrections are executed on the L channel to enhance the image contrast. Qualitative and quantitative results on 653 outdoor; 818 indoor; and 1,394 underwater images show that the proposed algorithm outperforms several state-of-the-art algorithms in producing enhanced color constancy and contrast. The proposed algorithm also reduces noise effects and improves the details of an image without creating unnatural and inaccurate color constancy. Springer US 2018-09-06 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23233/1/NonlinearLocal-pixel-shifting1.pdf Wan Muhammad Syahrir, Wan Hussin and Mohd Naim, Mohd Jain Noordin and Nor Ashidi, Mat Isa (2018) Nonlinear Local-pixel-shifting Color Constancy Algorithm. Multimedia Tools and Applications, 77. pp. 1-48. ISSN 1380-7501(print); 1573-7721(online) https://doi.org/10.1007/s11042-018-6566-4 https://doi.org/10.1007/s11042-018-6566-4
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TC Hydraulic engineering. Ocean engineering TR Photography
spellingShingle	TC Hydraulic engineering. Ocean engineering TR Photography Wan Muhammad Syahrir, Wan Hussin Mohd Naim, Mohd Jain Noordin Nor Ashidi, Mat Isa Nonlinear Local-pixel-shifting Color Constancy Algorithm
description	Most color constancy algorithms implement a color correction process that performs globally for the entire input pixel image. This process leads to a saturation problem and overcorrected images, especially in overexposed regions, thereby resulting in contrast inconsistency and incorrect true-color image objects. Each pixel in an input image should have a different correction range value. Pixels with high probability to be saturated or overcorrected should not be treated similarly as pixels with low probability. Thus, this study proposes a new color correction algorithm that aims to reduce the effects of the saturation phenomenon and overcorrected color images while enhancing the image contrast. To achieve this objective, the proposed algorithm consists of two main processes, namely, color correction and contrast enhancement. A shifting process is nonlinearly applied to each pixel in a 2D two-channel CIELAB color space. Each pixel has a different corrected rate depending on the adaptive limit value and the reference point. Subsequently, the global and local contrast corrections are executed on the L channel to enhance the image contrast. Qualitative and quantitative results on 653 outdoor; 818 indoor; and 1,394 underwater images show that the proposed algorithm outperforms several state-of-the-art algorithms in producing enhanced color constancy and contrast. The proposed algorithm also reduces noise effects and improves the details of an image without creating unnatural and inaccurate color constancy.
format	Article
author	Wan Muhammad Syahrir, Wan Hussin Mohd Naim, Mohd Jain Noordin Nor Ashidi, Mat Isa
author_facet	Wan Muhammad Syahrir, Wan Hussin Mohd Naim, Mohd Jain Noordin Nor Ashidi, Mat Isa
author_sort	Wan Muhammad Syahrir, Wan Hussin
title	Nonlinear Local-pixel-shifting Color Constancy Algorithm
title_short	Nonlinear Local-pixel-shifting Color Constancy Algorithm
title_full	Nonlinear Local-pixel-shifting Color Constancy Algorithm
title_fullStr	Nonlinear Local-pixel-shifting Color Constancy Algorithm
title_full_unstemmed	Nonlinear Local-pixel-shifting Color Constancy Algorithm
title_sort	nonlinear local-pixel-shifting color constancy algorithm
publisher	Springer US
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/23233/ http://umpir.ump.edu.my/id/eprint/23233/ http://umpir.ump.edu.my/id/eprint/23233/ http://umpir.ump.edu.my/id/eprint/23233/1/NonlinearLocal-pixel-shifting1.pdf
first_indexed	2023-09-18T22:34:42Z
last_indexed	2023-09-18T22:34:42Z
_version_	1777416517806194688

Nonlinear Local-pixel-shifting Color Constancy Algorithm

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