Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/11582
Title: Video denoising without motion estimation using K-means clustering
Authors: Ramya, C
Rani, S Subha
Keywords: Denoising
KSVD
OMP
Video
Issue Date: Apr-2011
Publisher: NISCAIR-CSIR, India
Abstract: This study presents a novel dictionary pruning algorithm that found dictionaries of optimized size for a given dataset, without compromising its approximation accuracy and performance. It is achieved by applying KSVD (K-means singular value decomposition) algorithm to patches of dictionary. Proposed method optimized dictionary selection, and with KSVD yielded better video denoising than KSVD with fixed dictionary.
Description: 251-255
URI: http://hdl.handle.net/123456789/11582
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.70(04) [April 2011]

Files in This Item:
File Description SizeFormat 
JSIR 70(4) 251-255.pdf150.22 kBAdobe PDFView/Open


Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.