A Fusion Approach to Eliminate Speckle Noise from Digital Images Using IVSA Algorithm
Manimegalai Duraisamy, P. Narasimman · Journal of Emerging Technologies and Innovative Research · 2018
Images are used to show proof or demonstration valuable information and it plays an vital role in research and technology. The main disadvantages of digital images are presence of blare and deprivation during their attainment or transmission. This paper presents a novel method of image restoration using Intensity Value Sharing Algorithm (IVSA). In this paper, the comparison of known image demising techniques is discussed and a new method, the sharing difference between pixels intensity based approach is proposed and used for the removal of impulse noise. Restoration methods can primarily preserve image details while suppressing impulsive noise. The principle of these methods is introduced and analyzed with different simulation results using MATLAB. Most of the prior known techniques are applicable for the demising of images degraded with less noise density. Here a new algorithm is presented which is better than the existing algorithms. Performances of the techniques are compared with the parameters MSE, PSNR and SSIM.