Underwater Image Enhancement Algorithm Based on Logarithmic Transform Histogram Matching With Spatial Equalization
Viacheslav Voronin, Evgeny A. Semenishchev, Svetlana Tokareva, Aleksandr Aleksandrovich Zelenskii, Sos С. Agaian · 2018
In this paper a novel algorithm is proposed for underwater image enhancement. The proposed method based on combined local and global image processing in the frequency domain. The basic idea is to apply logarithmic transform histogram matching with spatial equalization approach on different image blocks. The resulting image is a weighted mean of all processing blocks driven through optimization of measure of enhancement (EME). Some presented experimental results illustrate the performance of the proposed algorithm on real underwater images in comparison with the classical contrast enhancement techniques and adaptive histogram equalization techniques.