Improving Image Enhancement by Gradient Fusion
Xin Xu, Qiang Chen, Deshen Xia · 2010
We present a fusion approach in the gradient domain to combine complementary advantages between image enhancement results for visualization improvement. A weighted structure tensor is employed to capture significant details of each input channel, and local contrast is incorporated in the design of fusion weights. Experimental results demonstrate that the fused image can preserve significant detail and structural information of each input image, and the visual effect is improved.