Enhanced Wiener restoration of images based on the Haar wavelet transform

Author

Hadhoud, Mohiy M. ; Dessouky, Moawad I. ; El-Samie, Fathi E Abd ; El-Khamy, Said E.

Author_Institution

Fac. of Electron. Eng., Menoufia Univ., Egypt

Volume

1

fYear

2001

fDate

2001

Firstpage

241

Abstract

Two proposed methods are used for enhancing the results of the linear minimum mean square error (LMMSE) or Wiener restoration. The first approach depends on adaptively merging the Wiener restoration with a regularized restoration technique, which can be solved iteratively. The second approach is a smoothing technique to reduce noise in flat areas in the, restored images. The decision that is used for selecting the regions in the image, in which either the regularization or the smoothing processes can be made, is dependent on the 2-D Haar wavelet transform

Keywords

Wiener filters; image enhancement; image restoration; smoothing methods; wavelet transforms; 2D Haar wavelet transform; LMMSE; Wiener filter; enhanced Wiener image restoration; linear minimum mean square error; noise reduction; regularized restoration technique; smoothing technique; Additive noise; Additive white noise; Degradation; Frequency; Image restoration; Iterative algorithms; Mean square error methods; Noise figure; Smoothing methods; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Radio Science Conference, 2001. NRSC 2001. Proceedings of the Eighteenth National

Conference_Location

Mansoura

Print_ISBN

977-5031-68-0

Type

conf

DOI

10.1109/NRSC.2001.929225

Filename

929225