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Non-linear image recovery from a single frame super resolution using pearson type VII density

Super-resolution (SR) aims to recover a high resolution (HR) image from one or more low resolution (LR) images. The limitations of the capturing source often results in loss of resolution and the introduction of additive noise. Thus, the capturing image will be distorted and will be insufficient to...

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Bibliographic Details
Main Author: S.A., Pitchay,
Format: Conference Paper
Language:en_US
Published: 2015
Subjects:
High resolution image
Ill posed problem; Image recovery
Low resolution; Low resolution images
Non-linear; Recovering process
Super resolution
Systems engineering
Recovery
Online Access:http://ddms.usim.edu.my/handle/123456789/9221
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Summary:Super-resolution (SR) aims to recover a high resolution (HR) image from one or more low resolution (LR) images. The limitations of the capturing source often results in loss of resolution and the introduction of additive noise. Thus, the capturing image will be distorted and will be insufficient to sample the image with adequate resolution. In this scenario when there exists only a single frame of low resolution, often the observed frame is deficient or noisy, which makes the recovering process an ill-posed problem where the solution does not exist or is unique. © 2011 Springer Science+Business Media, LLC.

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