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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Image Super-Resolution
Reconstruction Using Map Estimation |
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Authors: |
Xin-Long Lu, Shengyong Chen, Xin Wang, Sheng Liu, Chunyan Yao, Xianping Huan |
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Published in:
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(2013).ECMS 2013 Proceedings edited
by: W. Rekdalsbakken, R. T. Bye, H. Zhang European Council for Modeling
and Simulation. doi:10.7148/2013 ISBN:
978-0-9564944-6-7 27th
European Conference on Modelling and Simulation, Aalesund, Norway, May 27th –
30th, 2013 |
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Citation
format: |
Xin-Long Lu, Shengyong Chen, Xin Wang, Sheng Liu, Chunyan Yao, Xianping Huang (2013). Self-Adaptive Matching In Local
Windows For Depth Estimation, ECMS 2013 Proceedings
edited by: W. Rekdalsbakken, R. T. Bye, H. Zhang, European Council for Modeling
and Simulation. doi:10.7148/2013-0838 |
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DOI: |
http://dx.doi.org/10.7148/2013-0838 |
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Abstract: |
This
paper presents a promising super-resolution (SR) approach using maximum a
posteriori (MAP) estimation. We consider the high resolution (HR) estimation as
a Markov Random Field (MRF), using a transformed gradient field prior to
repair the image fuzzy problem caused by MRF. An improved Normalized
Convolution method is proposed to obtain a first good estimation. We build a
reasonable energy function and minimize the posterior energy by gradient
descent algorithm. Experimental results on realistic image sequence and comparisons
with several other SR techniques show that our approach gives the best
results both qualitative and quantitative. |
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