ICIP 2006, Atlanta, GA

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Atlanta Conv. & Vis. Bureau


Technical Program

Paper Detail

Session:Denoising - II
Time:Wednesday, October 11, 09:40 - 12:20
Presentation: Poster
Authors: Susanna Minasyan; Tampere University of Technology 
 Jaakko Astola; Tampere University of Technology 
 Karen Egiazarian; Tampere University of Technology 
 David Guevorkian; Nokia Research Center 
Abstract: In our recent work, a class of parametric transforms, including family of Haar-like transforms, was introduced and studied in application to image compression. Parametric Haar-like transform (PHT) is a discrete orthogonal transform such that it may be computed with a fast algorithm in a structure similar to that of classical fast Haar transform and such that its matrix contains arbitrary predefined vector in its first row. The aim of this paper is to study a potential use of parametric Haar-like transforms in image denoising. A PHT-based post-processing method is proposed which may improve a denoising method based on fixed transforms. In particular, it is shown that the proposed method may significantly improve the performance of wavelet thresholding based image denoising.