具有随机位移的多帧图像超分辨重建快速算法

doi:10.3969/j.issn.1001-2400.2012.01.019

Abstract

Abstract:

The traditional multi-frame super-resolution (SR) reconstruction methods are computationally expensive and only applicable to offline processing cases. To reduce the workload of SR fusion for real-time applications, three algorithms, i.e., neighborhood combination interpolation (NCI), neighborhood expansion interpolation (NEI) and global two-direction linear interpolation (GTDLI), are proposed in this paper under the condition of multiple sparsely-sampled lower resolution images with global random shifts. Simulation results illustrate the effectiveness of these proposed algorithms and the advantages in speed over classic SR algorithms. Finally, the applicable fields for the three algorithms are concluded through theoretical analysis and experimental comparison.

Key words: super-resolution reconstruction, image fusion, random shifts

NING Beijia;JI Feng;GAO Xinbo. Fast super-resolution reconstruction algorithms for multi-frame images with random shifts[J].J4, 2012, 39(1): 105-110.

References

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Fast super-resolution reconstruction algorithms for multi-frame images with random shifts

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