Image denoising by wavelet-domain wiener filtering

Prasongsook, Walailak; Rangsanseri, Yuttapong; Thitiamajshima, Wiyada

Image denoising by wavelet-domain wiener filtering

Author(s)

Prasongsook, Walailak

Rangsanseri, Yuttapong

Thitiamajshima, Wiyada

Date Issued

December 1, 2002

Type

Conference Paper

Abstract

In this paper, we present an image denoising technique by applying Wiener filter in wavelet domain. The stationary wavelet transform (SWT) was used in our algorithm because it provides a shift-invariance property. The noisy image is first decomposed with SWT info N levels, which results in 3N + 1 wavelet coefficient subbands. The Wiener filter is then applied to each of 3N high-frequency subbands. The output image is finally obtained by inverse SWT. Experiments were carried out by simulation on several images, in comparison with the universal wavelet thresholding method. It was shown that our algorithm yields higher performance in terms of peak signal to noise ration (PSNR) and visual quality.

Citation

Proceeding of the International Conference on Telecommunications, 1, 326-329, 2002