Smart tone reproduction

In this paper, we propose an effective scheme to enhance the visual details at the minimal cost of user adjustments. The uprising importance of automatic tone reproduction comes from the increasing population of digital archive programs, which contains a large number of images/videos either old irreproducible, or poorly captured. We attempt to solve above issues by a new local normalization step and an adaptive contrast assessment process. With those two processes, our method can effectively enhance poor quality regions and simultaneously preserving good quality ones with default parameter settings. The experimental results demonstrate that our method is superior to many existing algorithms when applied to aid digital archiving issues.