An Improved Algorithm for Super-Resolution Video

Yan Zhang; Pan Pan Jiang

doi:10.4028/www.scientific.net/AMM.713-715.1574

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715An Improved Algorithm for Super-Resolution Video

An Improved Algorithm for Super-Resolution Video

Abstract:

Aiming at the characteristics of the UAV camera, camera data nowadays, a new improved method is proposed based on putting the low-resolution video reconstruction into high-resolution video. First, the low-resolution video frame is done spectrum analysis by Fourier transform. Second, find the maximum gradient descent point to determine the cut off frequency. Finally making use of high-resolution images with high frequency detail, then motion compensated. Through POCS algorithm, then iterated, obtaining super-resolution reconstruction video and realizing the above by MATLAB simulation.

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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

1574-1578

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.1574

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Online since:

January 2015

Authors:

Yan Zhang*, Pan Pan Jiang

Keywords:

Frequency Band Decomposition, POCS, Video Super-Resolution

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* - Corresponding Author

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