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γ Radiation Image Enhancement Method Based on Non-Linear Mapping

Authors :
Hao Deng
Hao Zhao
Hua Zhang
Guihua Liu
Source :
IEEE Access, Vol 10, Pp 106999-107009 (2022)
Publication Year :
2022
Publisher :
IEEE, 2022.

Abstract

For the problems of darkness, insufficient contrast, and color cast in the images captured by CMOS image sensors in the $\gamma $ radiation environment, this paper proposed a joint contrast improvement and color cast correction approach for the $\gamma $ radiation image enhancement, which improved the image effects from enhancing detail expression and color expression. For the problem of overall darkness of $\gamma $ radiation image, we first utilized logarithmic mapping to improve the image brightness. Secondly, for the insufficient contrast of image details, a contrast enhancement method with an adaptive Gamma coefficient is proposed, which adaptively adjusts the image brightness at the pixel level, so that the image detail expression is more in line with the human visual characteristics (HVC). Lastly, the color level remapping method is exploited for color cast correction. Extensive experiments are conducted on the $\gamma $ radiation images collected in the Co60 environment. With the help of the proposed method, we can achieve the best results in quantitative and visual comparison. Experimental results demonstrate that the proposed method enjoys state-of-the-art performance in $\gamma $ radiation image enhancement.

Details

Language :
English
ISSN :
21693536
Volume :
10
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.3a560e7b4d69a5d4a8d460b8be3b
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2022.3209807