Abstract
In weak-light environments, images suffer from low contrast and the loss of details. Traditional image enhancement models are usually failure to avoid the issue of overenhancement. In this paper, a simple and novel correction method is proposed based on an adaptive local gamma transformation and color compensation, which is inspired by the illumination reflection model. Our proposed method converts the source image into YUV color space, and theYcomponent is estimated with a fast guided filter. The local gamma transform function is used to improve the brightness of the image by adaptively adjusting the parameters. Finally, the dynamic range of the image is optimized by a color compensation mechanism and a linear stretching strategy. By comparing with the state-of-the-art algorithms, it is demonstrated that the proposed method adaptively reduces the influence of uneven illumination to avoid overenhancement and improve the visual effect of low-light images.
Highlights
The computer vision system has been widely used in a variety of fields such as industrial production, video surveillance, intelligent transportation, and remote sensing [1] and plays a more and important role in human’s life
In the bottom panel of the figure, the first and second rows show images acquired under normal illumination and the corresponding enhancement results obtained using the proposed method, respectively, and the results showed that for images acquired under normal illumination conditions, the processing results of the proposed method are identical to the original images, indicating that the proposed method can adaptively adjust its parameters for different scenes and shows good robustness and adaptability
We propose a color image correction method based on local gamma transformation and color compensation
Summary
The computer vision system has been widely used in a variety of fields such as industrial production, video surveillance, intelligent transportation, and remote sensing [1] and plays a more and important role in human’s life. (1) It is a simple and effective image enhancer based on a novel local gamma transformation and illumination reflection model This method can effectively enhance the visual effect of an image, revealing more details in dark areas while preserving the overall detail information (2) The method has a color compensation mechanism; it is suitable for the processing of color images captured with monitoring system (3) The proposed method can adjust the parameters according to the light distribution and adaptively reduce the influence of uneven illumination on the image, providing a valuable reference for the study of the correction of images acquired under uneven lighting conditions (4) Our method can produce the satisfied results with less computational complexity.
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