Image enhancement through multi-scale alpha-rooting processing for remote sensing application

We present a new near-infrared (NIR) image enhancement algorithm based on multi-scale alpha-rooting processing. The basic idea is to apply the α-rooting image enhancement approach for different image blocks. The parameter alpha for every block driven through optimization of measure of enhancement (EME). Also, we propose a fusion scheme for alpha-rooting enhancement and edge detection results. Some experimental results are presented to illustrate the performance of the proposed algorithm on the RGB-NIR Scene Data.