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Enhancing Bregmanised NLTV Image Denoising using Savitzky Golay filter and SVD

Publication Type : Journal Article

Publisher : IJSER

Source : IJSER (2012)

Url :

Keywords : Edge Preservation, Image Denoising, Nonlocal Means, Savitzky Golay Filter, Split Bregman Optimization, Singular Value Decomposition, Total Variation,Image Quality Assessments

Campus : Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

Department : Center for Computational Engineering and Networking (CEN)

Verified : Yes

Year : 2012

Abstract : The existence of noise in digital images hinders the visual effect. To improve the visual quality a well performing denoising technique is a necessity. This paper focuses on image denoising method using Nonlocal Total Variation scheme. Nonlocal Total Variation based denoising technique helps in preserving the edges at the cost of computational load.To reduce the computational load and to speed up the process Split Bregman Optimization technique is employed to the NLTV model. To enhance this denoising Savitzky Golay filter and SVD is incorporated before applying NLTV denoising.The experimental results shows an improvement in the denoising strength which was observed using the standard quality assessment techniques such as SNR, MSE, and PSNR

Cite this Research Publication : Aswathy M, P Rajan, Deepthi TVN, R Das, Sachin Kumar S, K P Soman, Enhancing Bregmanised NLTV Image Denoising using Savitzky Golay Filter and SVD, International Journal of Scientific & Engineering Research, Volume 4, 2013

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