Underwater Image Enhancement by Adaptive Gray World and Differential Gray-Levels Histogram Equalization

Advances in Electrical and Computer Engineering. 2018;18(2):109-116 DOI 10.4316/AECE.2018.02014

 

Journal Homepage

Journal Title: Advances in Electrical and Computer Engineering

ISSN: 1582-7445 (Print); 1844-7600 (Online)

Publisher: Stefan cel Mare University of Suceava

LCC Subject Category: Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware

Country of publisher: Romania

Language of fulltext: English

Full-text formats available: PDF

 

AUTHORS

WONG, S.-L.
PARAMESRAN, R.
TAGUCHI, A.

EDITORIAL INFORMATION

Double blind peer review

Editorial Board

Instructions for authors

Time From Submission to Publication: 20 weeks

 

Abstract | Full Text

Most underwater images tend to be dominated by a single color cast. This paper presents a solution to remove the color cast and improve the contrast in underwater images. However, after the removal of the color cast using Gray World (GW) method, the resultant image is not visually pleasing. Hence, we propose an integrated approach using Adaptive GW (AGW) and Differential Gray-Levels Histogram Equalization (DHE) that operate in parallel. The AGW is applied to remove the color cast while DHE is used to improve the contrast of the underwater image. The outputs of both chromaticity components of AGW and intensity components of DHE are combined to form the enhanced image. The results of the proposed method are compared with three existing methods using qualitative and quantitative measures. The proposed method increased the visibility of underwater images and in most cases produces better quantitative scores when compared to the three existing methods.