A Study on Under Water Image Enhancement using Color Balance and Fusion
R. Sujatha1, C. Selvarathi2

1R. Sujatha, Department of Information Technology, India. 

2C. Selvarathi, Department of Computer Science and Engineering, India.  

Manuscript received on 15 May 2019 | Revised Manuscript received on 22 May 2019 | Manuscript Published on 10 July 2019 | PP: 448-450 | Volume-8 Issue-7C2 May 2019 | Retrieval Number: G10960587C219/19©BEIESP

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This work is a study about effective technique to enhance the images which are captured underwater. Sometimes these images captured may be degraded due to scattering and absorption. This work examines the technique which focuses on a single image without any prerequisite or prior knowledge about under water conditions and also does not require any specialized hardware. The technique focuses on blending two images from a color compensated and white balanced version of the degraded original image. The two images are fused and the definition of their associated weight maps are used to transfer the edges and color contrast of the input image to the output image. This approach adapts a mutliscale fusion strategy to avoid the creation of artifacts from the sharp weight map transitions. This technique focuses on qualitative and quantitative evaluation to improve the accuracy of the images, their global contrast and their edge sharpness.

Keywords: Under Water, Multiscale Fusion, Weight Maps.
Scope of the Article: Computer Science and Its Applications