多尺度自适应Gamma矫正的低照图像增强

为了在提高低照图像的亮度和对比度的同时，保持图像的色彩自然度，提出了多尺度自适应Gamma矫正的低照图像增强方法.鉴于HSI颜色空间的明度分量Ⅰ决定着图像的明暗程度，以及明度分量的多尺度特性，首先，将图像转换到HSI颜色空间，对明度分量Ⅰ进行多尺度Retinex分解；然后，对分解得到的多尺度光照图像分别进行自适应的Gamma矫正，其中Gamma指数自适应于暗区像素的占比，鲁棒地改善光照图像的光照分布，经Retinex反变换得到增强的多尺度明度分量；最后，将增强的多尺度明度分量的线性融合作为增强的明度分量Ⅰ’，与色相分量H和饱和度分量S重组，得到最后的增强图像.实验结果表明，相对于部分最新提出的现有方法，新方法的PSNR和SSIM值分别高出1.19 dB和1.8%以上，具有更好的增强效果和鲁棒性，增强图像的视觉效果更适宜，对比度更高.

Low illumination image enhancement based on multi-scale adaptive Gamma correction

In order to improve the brightness and contrast of the low illumination image while maintaining the color naturalness of the image, a low illumination image enhancement method based on multi-scale adaptive Gamma correction is proposed. In view of that the degree of light and shade of image is determined by the lightness component I of HSI color space, and the multi-scale characteristic of lightness component. Firstly, the image is converted to HSI color space, and the brightness component I is decomposed by multi-scale Retinex. Then, respectively, the decomposed multi-scale illumination images are subjected to adaptive Gamma correction, in which the Gamma index is adaptive to the proportion of pixels in the dark area, robustly improve the illumination distribution of the illumination image, the enhanced multi-scale brightness components are obtained by Retinex inverse transformation. Finally, the linear fusion of enhanced multi-scale lightness components is used as the enhanced brightness component I', which is recombined with the hue component H and saturation component S to obtain the final enhanced image. The experimental results show that compared with some existing newly proposed methods, the proposed method are 1.19 dB and 1.8% higher than those of the some existing methods proposed recently, the proposed method shows better enhancement effect and robustness, the visual effect of its enhanced images is more suitable with higher contrast.