Abstract

This paper proposes a comparative study of various super resolution (SR) techniques: Spectral approach, Interpolation and fusion, Wiener filtering, Maximum A Posteriori (MAP), Eigenfaces reconstruction and Projection Onto Convex Sets (POCS). MAP, Eigenfaces, Wiener filtering and POCS have been implemented and experimented on gray level images. We compare the performances of the algorithms on standard test protocols. The POCS and MAP give similar results. Blind SR [4], hybrid methods POCS-MAP and also the improvement of algorithms so that they can operate in real time are future directions for research work.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.