A Survey on Super Resolution for Compressed Web Images |
Author(s): |
| R. Thazleema Banu , PET Engineering College/ Vallioor; C. S. Sree Thayanandeswari, PET Engineering College/ Vallioor |
Keywords: |
| Image Super-Resolution (SR), Joint MAP Restoration |
Abstract |
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Super-resolution imaging (SR) is a class of techniques that enhance the resolution of an imaging system. A highly compressed image is usually not only of low-resolution, but also suffers from compression artifacts. Directly performing image super-resolution (SR) to a highly compressed image would also simultaneously magnify the blocking artifacts, resulting in unpleasing visual experience. The objective of SR techniques is to reconstruct the original image without any artifacts. This paper describes the overview of the various SR techniques in a systematic manner. The various techniques namely Maximum Likelihood, Maximum a Posteriori, Joint MAP restoration, Bayesian Treatments, Example-based approach, Set theoretic restoration methods. It also provides the image with better visual quality with reduced compression artifacts. |
Other Details |
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Paper ID: IJSRDV5I70263 Published in: Volume : 5, Issue : 7 Publication Date: 01/10/2017 Page(s): 730-733 |
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