TY  - JOUR
T1  - Enhancement Underwater Image Using Histogram Equalization Based on
Color Restoration
AU - Daway, Hazim G. AU - Ameer, Zahraa S. Abd-Al AU - Kareem, Hana H. 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 2
SP  - 641
EP  - 647
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.641.647
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.641.647
KW  - Underwater image processing
KW  -histogram equalization
KW  -image color restoration
KW  -UCM
KW  -RSAIP
KW  -HEBCR
AB  - In this study, the improvement of underwater images was re-correct color by design of a new method
by using Histogram Equalization Based on Color Restoration (HEBCR). Proposed method adopted on applying
traditimal histogram equalization on the image in RGB Model and then performed color correction by using
(XYZ, LMS) color spaces and add to that apply logarithm mapping. Quantitative analyses indicate that the
proposed method outperforms other methods as Multi Scale Retinex Algorithm with Color Restoration
(MSRCR), Integrated Color Model (ICM), Unsupervised Color correction Method (UCM) and Rayleigh
Stretching and Averaging Image Planes (RSAIP) by calculating no reference image quality assessments. Finally,
we concluded from the results that the proposed HEBCR method is much better than the other methods for
enhancement underwater images.
ER  -