Open AccessUnderwater Image Enhancement using Colour Restoration based on YCbCr Colour Model
Author(s) -
Hana H. Kareem,
Hazim G. Daway,
Esraa G. Daway
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/571/1/012125
Subject(s) - ycbcr , artificial intelligence , underwater , computer vision , rgb color model , rayleigh distribution , image restoration , transformation (genetics) , computer science , image enhancement , mathematics , image (mathematics) , pattern recognition (psychology) , image processing , color image , statistics , geography , probability density function , biochemistry , chemistry , gene , archaeology
In this study, improvement of underwater images via colour re-correction was performed by designing a new method that uses colour restoration based on the integrated colour model with Rayleigh distribution (CRBICMRD). The proposed method was utilised for colour restoration in an image in the RGB model and for colour transformation in YCbCr space, where it processed the Y component. The integrated colour model with Rayleigh distribution was applied. Quantitative analyses indicated that the proposed method outperformed the multi-scale retinex algorithm with colour restoration, unsupervised colour correction method and Rayleigh stretching and averaging image planes by calculating no-reference-image quality assessments. Results indicated that CRBICMRD performed considerably better than the other methods in enhancing underwater images.