A Review of an Efficient SVD-Based Method for Image Denoising
Volume: 6 - Issue: 03 - Date: 01-03-2017
Approved ISSN: 2278-1412
Published Id: IJAECESTU293 | Page No.: 134-137
Author: Dinisha Tiwari
Co- Author: Mr. Neelesh shrivastav
Abstract:-– Image denoising could be a well explored topic within the field of image process.
Within the past many decades, the progress made in image denoising has benefited from the
improved modeling of natural pictures. a picture could be a price, thousand words & during
this digital age, pictures are everyplace. Most of the digital pictures contain some kind of noise.
Purpose of denoising is to reconstruct the initial image from its abuzz observation as accurately as
possible. The necessary property of a good image denoising model is that it ought to fully remove
noise as way as possible. during this paper, we tend to study of propose methodology a
computationally easy denoising algorithmic rule using the nonlocal self-similarity and therefore
the low-rank approximation (LRA).
Key Words:-Back projection, image denoising, low-rank approximation (LRA), patch grouping, selfsimilarity, singular value decomposition (SVD).
Area:-Engineering
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