Fast Enhancement Method for Low Light Images Guided by Retinex Prior
Low light image enhancement aims to improve the visual quality of images captured in low light environ-ment.However,existing low light image enhancement methods are difficult to achieve a good balance between com-putational efficiency and enhancement performance.Therefore,a fast low light image enhancement method guided by Retinex prior is proposed.The Retinex model is combined with Gamma correction to quickly output images with high contrast,good visual effects and low noise.To obtain images with good illumination and guide the determina-tion of Gamma correction map with the same size as the input image,a prior image generation method based on Retinex model is proposed.To solve the problem of color distortion in extremely low illumination areas,a fusion-based Gamma correction map estimation method is proposed,which uses arctangent transform to restore the color and contrast of extremely low illumination areas to improve the enhancement performance of Gamma correction map in extremely low illumination areas.To suppress the noise of the output image,considering that the com-pletely smooth Gamma correction map cannot smooth the detail texture,an optimization method of Gamma correc-tion map based on domain transform recursive filtering is proposed,which can reduce the noise and preserve the color and contrast of the output image.The experimental results show that the proposed method not only outper-forms most of the existing mainstream algorithms in subjective and objective image quality evaluation,but also has significant advantages in computational efficiency.
万方数据
维普
