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An Efficient Video Denoising using Patch-Based Method, Optical Flow Estimation and Multiresolution Bilateral Filter


Author(s):

Rakhi. S , Marian Engineering College, Trivandrum, India; Dr. M Sasikumar, Marian Engineering College, Trivandrum, India

Keywords:

Bilateral filter, motion compensation, optical flow, patch processing, singular value decomposition (SVD), video denoising, wavelet thresholding

Abstract:

Video denoising is a longstanding area of research. The core problem is to remove noise without affecting image details. The paper presents a new algorithm which combines motion compensation, patch based method and multiresolution bilateral filter for denoising. The proposed approach takes advantage of the self-similarity and redundancy of adjacent frames. Motion compensation by optical flow method permits the use of spatio-temporal patches for a more robust comparison. The use of singular value decomposition (SVD) for patches preserves fine details such as edges and texture. Multiresolution bilateral filter framework, which integrates both bilateral filter and soft thresholding, has the potential of eliminating low-frequency noise components. Experimental results shows that the proposed method eliminate most of the artifacts due to noise and improves texture and detail preservation.


Other Details:

Manuscript Id :IJSTEV3I10156
Published in :Volume : 3, Issue : 10
Publication Date: 01/05/2017
Page(s): 315-321
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