A wavelet based entropic approach to high-resolution reconstruction of images

Authors:
Said E. El-Khamy;Mohiy M. Hadhoud;Moawad I. Dessouky;Bassiouny M. Salam;Fathi E. Abd El-Samie
Affiliations:
Department of Electrical Eng., Faculty of Engineering, Alexandria University, Alexandria, Egypt;Dept. of Inform. Tech., Faculty of Computers and Information, Menoufia Univ., Shebin Elkom, Egypt;Dept. of Electronics and Elect. Communications., Faculty of Electronic Eng., Menoufia Univ., Menouf, Egypt;Dept. of Electronics and Elect. Communications., Faculty of Electronic Eng., Menoufia Univ., Menouf, Egypt;Dept. of Electronics and Elect. Communications., Faculty of Electronic Eng., Menoufia Univ., Menouf, Egypt
Venue:
Machine Graphics & Vision International Journal
Year:
2008

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Abstract

In multi-channel imaging, when multiple limited resolution sensors are used, we need to extract a high resolution (HR) image from the available low resolution (LR) observations. In this paper, an entropic approach to the HR reconstruction of images is developed. The suggested approach is based on breaking the HR reconstruction problem into three consecutive steps; the multi channel restoration step, the image fusion step and the image interpolation step. In both the first and the last steps, the maximum entropy concept is used to obtain an output HR image with the maximum amount of information. The image fusion step is based on the wavelet approach. The objective of this step is to integrate the data obtained from each observation into a single image, which is then interpolated to give an HR image. The paper explains the necessary approximations required to reduce the computational complexity of each step. The suggested approach has proved to be a computationally efficient for HR reconstruction of images.