Authors:
A. Ravi,Leela Satyanarayana. V,DOI NO:
http://doi.org/10.26782/jmcms.2019.10.00040Keywords:
Denoising,Image denoising,Wavelet-based techniques,Grey Wolf Optimization (GWO) algorithm,Abstract
De-noising is the reconstruction of an original image once all useless noise that is from affected images are eliminated. The image de-noising is a major challenge to researchers since the removal of noise can introduce artefacts that can result in the blurring of all images. The techniques based on the wavelet were to identify better applicability in the removal of noise owing to the capability of spacefrequency and its localization. The techniques inspired by nature have an important role to play in image processing. This will bring down image blurring, noise and improves enhancement of image, image fusion, image thresholding, and image pattern recognition. The algorithm known as Grey Wolf Optimization (GWO) falls under the category of swarm intelligence and thus initiates the process of optimization using random solutions.Refference:
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