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Proceedings Paper

Research on super-resolution image reconstruction based on an improved POCS algorithm
Author(s): Haiming Xu; Hong Miao; Chong Yang; Cheng Xiong
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Paper Abstract

Super-resolution image reconstruction (SRIR) can improve the fuzzy image’s resolution; solve the shortage of the spatial resolution, excessive noise, and low-quality problem of the image. Firstly, we introduce the image degradation model to reveal the essence of super-resolution reconstruction process is an ill-posed inverse problem in mathematics. Secondly, analysis the blurring reason of optical imaging process - light diffraction and small angle scattering is the main reason for the fuzzy; propose an image point spread function estimation method and an improved projection onto convex sets (POCS) algorithm which indicate effectiveness by analyzing the changes between the time domain and frequency domain algorithm in the reconstruction process, pointed out that the improved POCS algorithms based on prior knowledge have the effect to restore and approach the high frequency of original image scene. Finally, we apply the algorithm to reconstruct synchrotron radiation computer tomography (SRCT) image, and then use these images to reconstruct the three-dimensional slice images. Comparing the differences between the original method and super-resolution algorithm, it is obvious that the improved POCS algorithm can restrain the noise and enhance the image resolution, so it is indicated that the algorithm is effective. This study and exploration to super-resolution image reconstruction by improved POCS algorithm is proved to be an effective method. It has important significance and broad application prospects – for example, CT medical image processing and SRCT ceramic sintering analyze of microstructure evolution mechanism.

Paper Details

Date Published: 17 July 2015
PDF: 10 pages
Proc. SPIE 9524, International Conference on Optical and Photonic Engineering (icOPEN 2015), 95242V (17 July 2015); doi: 10.1117/12.2195255
Show Author Affiliations
Haiming Xu, Univ. of Science and Technology of China (China)
Hefei Institutes of Physical Science (China)
Hong Miao, Univ. of Science and Technology of China (China)
Chong Yang, Univ. of Science and Technology of China (China)
Cheng Xiong, Univ. of Science and Technology of China (China)


Published in SPIE Proceedings Vol. 9524:
International Conference on Optical and Photonic Engineering (icOPEN 2015)
Anand K. Asundi; Yu Fu, Editor(s)

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