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Proceedings Paper

Fusion and restoration of images from their registration based on wavelet-derived gradient computations
Author(s): Kuen-Tsair Lay; Lin-Wen Kong; Kai-An Tang
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Paper Abstract

Two images of the same scene are sometimes corrupted by noise and different portions of them are blurred differently. In this paper, we proposed to use the techniques of image fusion and image restoration to improve the quality of the images. The proposed algorithms are aided by image registration, which estimates the matching parameters between the images to be registered. They are scale factor, angle of rotation and difference of locations. However, for the saving of computation time in the registration process, we apply the wavelet transform to perform a multi-resolution registration. The gradient that aids the searching of the feature points between the images to be registered is computed from the derivative operator derived from wavelet theory. Experimental results show that we can align and register the two original images successfully. Then, with fusion or restoration, a clearer version of the scene than that of the original images is obtained.

Paper Details

Date Published: 19 August 1998
PDF: 8 pages
Proc. SPIE 3561, Electronic Imaging and Multimedia Systems II, (19 August 1998); doi: 10.1117/12.319743
Show Author Affiliations
Kuen-Tsair Lay, National Taiwan Univ. of Science and Technology (Taiwan)
Lin-Wen Kong, National Taiwan Univ. of Science and Technology (Taiwan)
Kai-An Tang, National Taiwan Univ. of Science and Technology (Taiwan)

Published in SPIE Proceedings Vol. 3561:
Electronic Imaging and Multimedia Systems II
LiWei Zhou; Chung-Sheng Li, Editor(s)

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