ICAR Research Data Repository for Knowledge Management
Performance analysis for image super-resolution using Blur as a Cue
DSpace at IIT Bombay
View Archive Info| Field | Value | |
| Title |
Performance analysis for image super-resolution using Blur as a Cue
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| Creator |
PATEL, D
CHAUDHURI, S |
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| Subject |
reconstruction
limits |
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| Description |
A number of algorithms for image super-resolution using multiple images, have been developed over the last two decades. On the other hand, a very less amount of efforts have been made to explore the issues regarding performance analysis of these methods. Since the problem of super-resolution is often a parameter estimation problem, the Cramer-Rao bound proves to be useful tool in analyzing the performance of the estimators. We focus on the problem of super-resolving with blur as a cue. In this paper we look at the factors affecting the achievable bounds in super-resolution. We analyze the effects of the magnification factor, modeling noise and the spectrum of the signal to be super-resolved.
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| Publisher |
IEEE COMPUTER SOC
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| Date |
2011-10-24T13:11:06Z
2011-12-15T09:11:38Z 2011-10-24T13:11:06Z 2011-12-15T09:11:38Z 2009 |
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| Type |
Proceedings Paper
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| Identifier |
ICAPR 2009: SEVENTH INTERNATIONAL CONFERENCE ON ADVANCES IN PATTERN RECOGNITION, PROCEEDINGS,73-76
978-0-7695-3520-3 http://dx.doi.org/10.1109/ICAPR.2009.43 http://dspace.library.iitb.ac.in/xmlui/handle/10054/15428 http://hdl.handle.net/100/2190 |
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| Source |
7th International Conference on Advances in Pattern Recognition,Kolkata, INDIA,FEB 04-06, 2009
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| Language |
English
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