Noise reduction for image sequences using an oriented pyramid thresholding technique

Author

van Roosmalen, P.M.B. ; Westen, S.J.P. ; Lagendijk, R.L. ; Biemond, J.

Author_Institution

Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

375

Abstract

Denoising images by means of thresholding transform coefficients has become popular. The discrete wavelet transform (DWT) seems to be very useful in this context. We propose a method for achieving a spatio-temporal decomposition of image sequences by combining the spacial Simoncelli (1992) pyramid with, in a temporal direction, wavelets. The directionally sensitive filter banks of the Simoncelli pyramid lead to better separation of signal and noise compared to a separable DWT. Including motion compensated temporal information further improves this separation. The directional sensitive filters also make it possible to locally estimate the amount of noise and the orientation of image structures. This information can be used to control the thresholding operation

Keywords

band-pass filters; filtering theory; image reconstruction; image sequences; motion compensation; motion estimation; noise; wavelet transforms; directionally sensitive filter banks; discrete wavelet transform; image denoising; image sequences; image structure orientation; motion compensated temporal information; noise estimation; noise reduction; noise separation; oriented pyramid thresholding technique; perfect reconstruction; signal separation; spacial Simoncelli pyramid; spatiotemporal decomposition; temporal direction; thresholding operation; thresholding transform coefficients; Additive white noise; Band pass filters; Discrete transforms; Discrete wavelet transforms; Filter bank; Filtering; Image sequences; Information theory; Noise reduction; Nonlinear filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.559511

Filename

559511