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Journal of Electronic Imaging

Fundamental techniques for resolution enhancement of average subsampled images
Author(s): Day-Fann Shen; Chui-Wen Chiu
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Paper Abstract

Although single image resolution enhancement, otherwise known as super-resolution, is widely regarded as an ill-posed inverse problem, we re-examine the fundamental relationship between a high-resolution (HR) image acquisition module and its low-resolution (LR) counterpart. Analysis shows that partial HR information is attenuated but still exists, in its LR version, through the fundamental averaging-and-subsampling process. As a result, we propose a modified Laplacian filter (MLF) and an intensity correction process (ICP) as the pre and post process, respectively, with an interpolation algorithm to partially restore the attenuated information in a super-resolution (SR) enhanced image image. Experiments show that the proposed MLF and ICP provide significant and consistent quality improvements on all 10 test images with three well known interpolation methods including bilinear, bi-cubic, and the SR graphical user interface program provided by Ecole Polytechnique Federale de Lausanne. The proposed MLF and ICP are simple in implementation and generally applicable to all average-subsampled LR images. MLF and ICP, separately or together, can be integrated into most interpolation methods that attempt to restore the original HR contents. Finally, the idea of MLF and ICP can also be applied for average, subsampled one-dimensional signal.

Paper Details

Date Published: 25 September 2012
PDF: 10 pages
J. Electron. Imaging. 21(3) 033027 doi: 10.1117/1.JEI.21.3.033027
Published in: Journal of Electronic Imaging Volume 21, Issue 3
Show Author Affiliations
Day-Fann Shen, National Yunlin Univ. of Science and Technology (Taiwan)
Chui-Wen Chiu, National Yunlin Univ. of Science and Technology (Taiwan)


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