Please use this identifier to cite or link to this item:
|Title:||Video denoising without motion estimation using K-means clustering|
Rani, S Subha
|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.|
|ISSN:||0975-1084 (Online); 0022-4456 (Print)|
|Appears in Collections:||JSIR Vol.70(04) [April 2011]|
Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.