Parameters adaptation framework for local contrast enhancement
Sergey S. Zavalishin, Ilia V. Safonov, Yury S. Bekhtin, Viktor S. Gurov · 2017
In this paper, we propose a novel local contrast enhancement algorithm based on preliminary image segmentation. Our algorithm adjusts contrast to individual image regions and applies further weighed least squares smoothing in order to reproduce brightness transitions similar to original image. We also measure region similarity using color and size features and apply the same contrasting parameters to similar regions. Proposed approach performs dramatic contrast improvement along with both dark and light details preservation. Comparison with famous algorithms demonstrates that our algorithm outperforms them according to several contrast metrics.