The week's pick
Reseach Article
Optimal and Fast Denoising of AWGN using Cluster based and Filtering Approach
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 89 - Number 9 |
| Year of Publication: 2014 |
| Authors: Mayuri D. Kulkarni, Sitendra Tamrakar, Shatendra Dubey |
10.5120/15529-4302
|
Mayuri D. Kulkarni, Sitendra Tamrakar, Shatendra Dubey . Optimal and Fast Denoising of AWGN using Cluster based and Filtering Approach. International Journal of Computer Applications. 89, 9 ( March 2014), 12-14. DOI=10.5120/15529-4302
Abstract
This paper presents the novel framework, which provides the denoising of image which is corrupted because of additive white Gaussian Noise. This introduction of noise causes degradation of an image. In proposed framework, the image is preprocessed after preprocessing, similar clusters of are accumulated for the filtering. After getting similar clusters, Adaptive Wiener filtering is used to denoise an image. The image quality assessment factors used are Peak Signal-to-noise ratio (PSNR) and structural similarity index (SSIM).
References
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- Mayuri D. Kulkarni , Sitendra Tamrakar ,Shatendra Dubey , " A Preliminary study of denoising technique" , Elixir Comp. Sci. & Engg. 67 (2014) 21442-21444 ,ISSN :2229-712X
- Ce Liu, Richard Szeliski, Sing Bing Kang,C. Lawrence Zitnick, and William T. Freeman, "Automatic Estimation and Removal ofNoise from a Single Image" , IEEE Transactions On Pattern Analysis And Machine Intelligence, Vol. 30, No. 2, February 2008
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