Low-light image enhancement algorithm based on multi-scale SSIF and Gamma transformation
LIANG Jiechen
ZHANG Hongzhu
WEI Zongshou
LI Peng
Abstract：To address the challenges of insufficient overall brightness,edge indistinctness,and color distortion in low-light images,this study proposes a low-light image enhancement method based on a multi-scale self-guided Sharpening-Smoothing Image Filter(SSIF)within the HSV color space.First,leveraging the color-luminance separation property of the HSV space,the multi-scale self-guided SSIF is applied to the V component to accurately estimate the illumination component and sub-sequently extract a precise reflection component.Second,to mitigate the issue of uneven illumination distribution,a two-dimensional adaptive gamma transform algorithm is proposed.Optimal parameters are determined through extensive comparisons,allowing the algorithm to enhance the brightness of darker regions while suppressing the brightness of lighter regions.This results in more uniform image illumination and brightness that aligns with human visual perception.Third,to address edge blurring and noise in the reflection component,a multi-scale passivation masking algorithm is developed,effec-tively enhancing image details while suppressing noise and improving the overall dynamic range of the image.Finally,an adaptive saturation enhancement algorithm is applied to the S component.The en-hanced S and V components are then merged with the unchanged H component and transformed into the RGB image.This output is further refined by incorporating the color restoration factor from the Multi-Scale Retinex with Color Restoration(MSRCR)algorithm,producing the final enhanced image.Experimental results show that the proposed algorithm achieves improvements of 14.62%and 32.10%in noval blind image quality assessment based on fine natural scene statistics and average gradient,re-spectively,compared to other algorithms.The proposed method not only effectively addresses uneven brightness distribution but also enhances image contour details and contrast,outperforming existing ap-proaches.
Keywords：signal and information processingHSV spaceSharpening-Smoothing Image Filter(SSIF)multi-scale passivation masking algorithmtwo-dimensional adaptive gamma transforma-tionadaptive saturation enhancement
Publication Date：2024-10-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：11( 107-117 )