Open AccessSingle Underwater Image Enhancement Based On UCIQE
Author(s) -
Jun Ao,
Mingming Zhang,
Chun-bo Ma
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1325/1/012045
Subject(s) - underwater , transmittance , distortion (music) , computer vision , block (permutation group theory) , computer science , artificial intelligence , image (mathematics) , filter (signal processing) , optics , mathematics , physics , geology , telecommunications , amplifier , oceanography , geometry , bandwidth (computing)
In order to deal with the problems of low contrast and color distortion of underwater images, a single underwater image enhancement method based on UCIQE is designed in this paper. It estimates background light intensity by a quad-tree search algorithm and divides the image into many blocks based on the assumption that the transmittance of local blocks is equal. The objective function of each block is composed of UCIQE and the information loss function, and the transmittance is obtained at maximum value of the objective function. The global optimization of the overall transmittance image is carried out by using the guided filter. Experimental results demonstrate that this method can effectively solve the problem of color deviation and blur of underwater degraded images.