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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 5, ISSUE 4, APRIL 2016

Underwater Image Denoising and Enhancement using Multiscale Product Thresholding and Weber’s Law

Miss. Rutika S. Ingole, Prof. C. J. Shelke

DOI: 10.17148/IJARCCE.2016.54216

Abstract: In a recent year, it is difficult for the researchers to remove noise from the original signal as well as to enhance the quality of the image. However light scattering and color change problems still exist in the underwater image. Scattering problem is affected due to the large suspended particles, which generally leads to the degradation of the image. Color change problem is affected due to the different wavelengths are attenuated to different degrees in water, causing ambient underwater environments to be dominated by a bluish tone. This paper implements a novel method based on multiscale product thresholding and weber�s law in order to denoise and enhance the underwater image quality. In this, the proposed scheme is applied to RGB color and grayscale underwater images. The complete image processing is done using MATLAB simulation model.



Keywords: Noise, Weber�s law, Multiscale product thresholding etc.

How to Cite:

[1] Miss. Rutika S. Ingole, Prof. C. J. Shelke, “Underwater Image Denoising and Enhancement using Multiscale Product Thresholding and Weber’s Law,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.54216