Image Detail and Color Enhancement Based on Channel-wise Local Gamma Adjustment

This paper proposes a novel local gamma adjustment algorithm to virtually expand the dynamic range of displayed images. Image details are automatically enhanced based on the estimation of local image details in the original image. By individually adjusting the local gamma value over the R, G, and B color channels, image colorfulness can also be enhanced. The proposed algorithm requires low computational complexity and may provide enhancement results comparable to, or even better than, manually adjusted images.