Local adaptive transform based image denoising with varying window size

Author

Oktem, Hakan ; Katkovnik, Wadimir ; Egiazarin, K. ; Astola, Jaakko

Author_Institution

Signal Process. Lab., Tampere Univ. of Technol., Finland

Volume

1

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

273

Abstract

Local adaptive image denoising in transform domain is a powerful tool for adapting to unknown smoothness of the images. We propose to perform local adaptive denoising with adaptively varying local transform support size rather than using a transform with fixed size. We use a special rule (intersection of confidence intervals-ICI) to select the optimum window sizes locally. The algorithm provides significant improvements in the de-noising performance

Keywords

Gaussian noise; adaptive filters; adaptive signal processing; discrete cosine transforms; image restoration; interference suppression; DCT filter; additive Gaussian noise; image processing; image restoration; image smoothness; intersection of confidence intervals; local adaptive filters; local adaptive image denoising; signal processing; transform domain; varying window size; Adaptive filters; Adaptive signal processing; Filtering; Gaussian noise; Image denoising; Noise reduction; Signal processing algorithms; Wavelet domain; Wavelet transforms; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.959006

Filename

959006