Title :
A theory of image restoration for linear spatial degradation using multiresolution analysis
Author :
Lasakul, Attasit ; Atsuta, Kiyoaki ; Kondo, Shozo
Author_Institution :
Dept. of Commun. Eng., Tokai Univ., Hiratsuka, Japan
Abstract :
In this theory it is assumed that an operator representing linear degradation is unknown but a pair of original images and its degraded image is given. The two images are projected onto several image spaces whose spatial frequencies are included in specified bands using the MRA. By comparison between the two projected images in the image spaces, demodulation coefficients are obtained which are used to restore the degraded image to the original one. In the process of obtaining the coefficients a new image distance is used which is a comparable measure that would correspond to the way the human visual system assesses. The obtained demodulation coefficients can be used to restore other degraded images. Examples of image restorations support the effectiveness of the proposed method
Keywords :
image resolution; image restoration; wavelet transforms; degraded image; demodulation coefficients; human visual system; image distance; image restoration; image spaces; linear spatial degradation; multiresolution analysis; spatial frequencies; specified bands; wavelet transforms; Additive noise; Constraint theory; Degradation; Demodulation; Frequency; Humans; Image analysis; Image restoration; Multiresolution analysis; Wiener filter;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.546861