Improved image super-resolution reconstruction based neighbor embedding

LI Qiang; LIU Zhe; NAN Bingbing; GU Shuyin

doi:10.7510/jgjs.issn.1001-3806.2015.01.003

In order to improve the time-efficiency of traditional super-resolution reconstruction based on neighbor embedding, a new method was proposed using direction information of image patches to choose neighborhood and classify the training set. Firstly, the training set was classified through the differences of patches directions. Secondly, the neighborhood used to reconstruct was chosen in the sub-sets by selecting training patches with the similar direction, and then the iterative back-projection was applied during the reconstruction to further enhance the super-resolution image quality. Finally, numerical experiments were conducted to verify the new method. The results show that the proposed algorithm increases time-efficiency more than 10 times and super-resolution performance is improved. The new method has better practical value.

Improved image super-resolution reconstruction based neighbor embedding

Corresponding author: LIU Zhe, liuzhe@nwpu.edu.cn;

1. School of Science, Northwestern Polytechnical University, Xi'an 710129, China

Received Date: 2014-01-07

Accepted Date: 2014-02-17

Available Online: 2015-01-25

Abstract: In order to improve the time-efficiency of traditional super-resolution reconstruction based on neighbor embedding, a new method was proposed using direction information of image patches to choose neighborhood and classify the training set. Firstly, the training set was classified through the differences of patches directions. Secondly, the neighborhood used to reconstruct was chosen in the sub-sets by selecting training patches with the similar direction, and then the iterative back-projection was applied during the reconstruction to further enhance the super-resolution image quality. Finally, numerical experiments were conducted to verify the new method. The results show that the proposed algorithm increases time-efficiency more than 10 times and super-resolution performance is improved. The new method has better practical value.

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Reference (14)

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Improved image super-resolution reconstruction based neighbor embedding

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