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(PDF) A Novel Super Resolution Reconstruction of Low ...
A Novel Super Resolution Reconstruction of Low Reoslution Images Progressively Using DCT and Zonal Filter Based Denoising February 2011 DOI: 10.5121/ijcsit.2011.3105
Super-resolution CT Image Reconstruction Based on ...
This SR reconstruction scheme is based on sparse representation theory and dictionary learning of low- and high-resolution image patch pairs to improve the poor quality of low-resolution CT images ...
Super-Resolution Reconstruction Algorithm To MODIS Remote ...
Therefore, super-resolution (SR) image reconstruction techniques, which can reconstruct one or a set of HR images from a sequence of low-resolution (LR) images of the same scene, have widely been researched in the last two decades. Multi-frame SR problem was first formulated by Tsai and Huang in the frequency domain. They proposed a formulation ......
A Total Variation Regularization Based Super-Resolution ...
Super-resolution (SR) reconstruction technique is capable of producing a high-resolution image from a sequence of low-resolution images. In this paper, we study an efficient SR algorithm for digital video. To effectively deal with the intractable problems in SR video reconstruction, such as inevitable motion estimation errors, noise, blurring, missing regions, and compression artifacts, the ......
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