Artificial Intelligence

   

Superresolution Using Perceptually Significant Side Information

Authors: Vikas Ramachandra, Truong Nguyen

We investigate the problem of super-resolution of images in the presence of side information. In some situations, when some information of the original image is available to the sender, it can be embedded into the low resolution images, either in the pixels themselves or in the headers. This information can be later used when required to reconstruct the superresolved image. For this, a novel multiresolution histogram matching based superresolution procedure is outlined. The proposed technique gives better results compared to contemporary resolution enhancement algorithms, and is especially useful for de-blurring text images captured from mobile phone cameras.

Comments: 4 Pages.

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Submission history

[v1] 2018-04-19 09:53:13

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