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Super-Resolution Image Processing Algorithm Using Hybrid Up-sampling  

Park, Jong-Hyun (연세대 공대 전기전자공학과)
Kang, Moon-Gi (연세대 공대 전기전자공학과)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.57, no.2, 2008 , pp. 294-302 More about this Journal
Abstract
In this paper, we present a new image up-sampling method which registers low resolution images to the high resolution grid when Bayesian super-resolution image processing is performed. The proposed up-sampling method interpolates high-resolution pixels using high-frequency data lying in all the low resolution images, instead of up-sampling each low resolution image separately. The interpolation is based on B-spline non-uniform re-sampling, adjusted for the super-resolution image processing. The experimental results demonstrate the effects when different up-sampling methods generally used such as zero-padding or bilinear interpolation are applied to the super-resolution image reconstruction. Then, we show that the proposed hybird up-sampling method generates high-resolution images more accurately than conventional methods with quantitative and qualitative assess measures.
Keywords
Super-Resolution; Image Restoration; Sampling; Interpolation;
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