Super-resolution reconstruction algorithm based on multi-scale non-local dictionary training for interested area of UAV

ABSTRACT

The multi-frame images taken by the unmanned aerial vehicle (UAV) in the complex flight environment will be easily affected by the jitter, noise and exposure, which result in the decline of detection rate of the interested regional target. Considering this problem, a super-resolution reconstruction algorithm for aerial multi-frame images of UAV is proposed by using multi-scale non-local dictionary training method based on compressive sensing. Experimental results prove the validity and accuracy of the proposed algorithm.

KEYWORDS:

• Super-resolution reconstruction
• non-local dictionary
• compressive sensing
• region of interest
• UAV

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work is financially supported by Aviation Science Foundation Project of China [2014ZD55007, 2014ZD55010], Colleges and Universities Key Research Project of Henan Province [18A510018].