Adaptive Correction Algorithm for Non-Uniform Illumination Images

Jing Wang, Zhijie Xu, Dianwei Wang, Ying Liu

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

An adaptive correction algorithm for non-uniform illumination images is proposed, which can eliminate the impact of non-uniform illumination on imaging results. Firstly, the illumination component is extracted by the fast guided image filter based on the luminance-reflection imaging model. In succession, an improved two-dimentional Gamma function dynamically adjusted by the local distribution characteristics of illumination is constructed, which can increase the intensity value at the low-level illumination regions and vice versa at the high-level illumination regions in the luminance domain. Finally, the non-uniform illumination image is adjusted adaptively by the proposed algorithm. Experimental results of different imaging scenarios show that the proposed algorithm can reduce the impact caused by non-uniform illumination and enhance the quality of the images.

LanguageEnglish
Pages1383-1390
Number of pages8
JournalXi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Volume39
Issue number6
DOIs
Publication statusPublished - 1 Jun 2017

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Cite this

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title = "Adaptive Correction Algorithm for Non-Uniform Illumination Images",
abstract = "An adaptive correction algorithm for non-uniform illumination images is proposed, which can eliminate the impact of non-uniform illumination on imaging results. Firstly, the illumination component is extracted by the fast guided image filter based on the luminance-reflection imaging model. In succession, an improved two-dimentional Gamma function dynamically adjusted by the local distribution characteristics of illumination is constructed, which can increase the intensity value at the low-level illumination regions and vice versa at the high-level illumination regions in the luminance domain. Finally, the non-uniform illumination image is adjusted adaptively by the proposed algorithm. Experimental results of different imaging scenarios show that the proposed algorithm can reduce the impact caused by non-uniform illumination and enhance the quality of the images.",
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Adaptive Correction Algorithm for Non-Uniform Illumination Images. / Wang, Jing; Xu, Zhijie; Wang, Dianwei; Liu, Ying.

In: Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, Vol. 39, No. 6, 01.06.2017, p. 1383-1390.

Research output: Contribution to journalArticle

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AU - Wang, Jing

AU - Xu, Zhijie

AU - Wang, Dianwei

AU - Liu, Ying

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AB - An adaptive correction algorithm for non-uniform illumination images is proposed, which can eliminate the impact of non-uniform illumination on imaging results. Firstly, the illumination component is extracted by the fast guided image filter based on the luminance-reflection imaging model. In succession, an improved two-dimentional Gamma function dynamically adjusted by the local distribution characteristics of illumination is constructed, which can increase the intensity value at the low-level illumination regions and vice versa at the high-level illumination regions in the luminance domain. Finally, the non-uniform illumination image is adjusted adaptively by the proposed algorithm. Experimental results of different imaging scenarios show that the proposed algorithm can reduce the impact caused by non-uniform illumination and enhance the quality of the images.

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KW - Image enhancement

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