Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/7040
Title: Image denoising using curvelet transform: an approach for edge preservation
Authors: Patil, Anil A
Singhai, Jyoti
Keywords: Curvelet transforms;Image denoising;Local variance;Sparse representation
Issue Date: Jan-2010
Publisher: CSIR
Abstract: This paper suggests a soft thresholding multiresolution technique based on local variance estimation for image denoising. This adaptive thresholding with local variance estimation effectively reduce image noise and preserves edges. In proposed algorithm, 2D fast discrete curvelet transform (2D FDCT) out performed wavelet based image denoising. PSNR using 2D FDCT is approximately doubled and it also preserves features at boundary of an image.
Page(s): 34-38
URI: http://hdl.handle.net/123456789/7040
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.69(01) [January 2010]

Files in This Item:
File Description SizeFormat 
JSIR 69(1) 34-38.pdf621.39 kBAdobe PDFView/Open


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