Skip to content
naulon
Not checkedNot checked for notices yet.

γ Radiation Image Enhancement Method Based on Non-Linear Mapping

Hao Deng, Hao Zhao, Hua Zhang and 1 more

IEEE Access · 2022

doi:10.1109/access.2022.3209807 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

For the problems of darkness, insufficient contrast, and color cast in the images captured by CMOS image sensors in the γ radiation environment, this paper proposed a joint contrast improvement and color cast correction approach for the γ radiation image enhancement, which improved the image effects from enhancing detail expression and color expression. For the problem of overall darkness of γ radiation image, we firstly utilized the 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 γ 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 γ radiation image enhancement.

Abstract licence: CC BY-NC-ND

References57

    57 more references, whose wording the paper’s licence keeps private.

    Reads

    Read by people on this page

    None yet.

    Checked or read by AI through naulon

    None yet.

    A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

    Are you an author?

    Is this your paper?

    Claim it to add your note and be paid when agents cite it. Free.