Title :
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
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;
Conference_Titel :
Radio Science Conference, 2001. NRSC 2001. Proceedings of the Eighteenth National
Conference_Location :
Mansoura
Print_ISBN :
977-5031-68-0
DOI :
10.1109/NRSC.2001.929225
