Low-Light Image Enhancement Method by Using a Modified Gamma Transform for Convex Combination Coefficients
Low-Light Image Enhancement Method by Using a Modified Gamma Transform for Convex Combination Coefficients
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DOI：
10.1109/icip46576.2022.9897857
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发表时间：
2022-10
期刊：
影响因子：
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通讯作者：
Mashiho Mukaida;Yoshiaki Ueda;N. Suetake
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文献类型：
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作者：
Mashiho Mukaida;Yoshiaki Ueda;N. Suetake
近年来，人们提出了许多低光图像增强方法。然而，这些方法存在一些问题，如在明亮区域造成过度增强和/或计算成本高。在本研究中，我们提出了一种新的弱光图像增强方法来改善这些问题。在该方法中，输入像素由白色、黑色和纯色的凸组合表示。然后，将RGB色彩空间中的等色平面表示为三角形，其顶点分别对应于白色、黑色和纯色。通过对RGB色彩空间中等色平面上的组合系数进行改进的伽玛变换，提高了低照度图像的可见性。利用伽玛滤波器对黑系数直方图进行平滑处理，增强了图像的对比度。在实验中，通过与现有微光图像增强方法的对比，验证了该方法的有效性。
Recently, a lot of low-light image enhancement methods have been proposed. However, these methods have some problems such as causing over enhancement in bright regions and/or high computational cost. In this study, we propose a new low-light image enhancement method to improve these problems. In the proposed method, the input pixels are represented by a convex combination of white, black, and pure color. Then, an equhue plane in RGB color space is represented as the triangle whose vertices correspond to white, black, and pure color. The visibility of low-light image is improved by applying a modified gamma transform to the combination coefficients on an equhue plane in RGB color space. The contrast of image is enhanced by smoothing the histogram of black coefficient with a gamma filter. In the experiments, the effectiveness of the proposed method is verified by the comparison with the state-of-the-art low-light image enhancement methods.