JOURNAL ARTICLE

Super-resolution reconstruction using nonlocal means

Abstract

As conventional super-resolution algorithms can not implement the motion estimation and reconstruction for an image with local motion in practical engineering applications,this paper proposed a super-resolution reconstruction algorithm based on NonLocal Means(NLM).First,the NLM filter,one of the successful denoising filters in recent years,was introduced briefly.Then,the details concerning its application to super-resolution were analyzed by creating a super-resolution cost function.By considering the practical situations and the need of the engineering facet,a scheme to simplify the procedure in the NLM super-resolution algorithm was proposed.The experiment results show that the simplified algorithm can not only effectively implement super-resolution reconstruction to get a clear and detailed image without explicit motion estimation,but also can obtain a reconstructed speed higher 30% than that of conventional algorithms.It can satisfy the practical needs of engineering settings and is expected to reconstruct the high resolution image with complex motion.

Keywords:
Computer science Resolution (logic) Computer vision Artificial intelligence

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Citation History

Topics

Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology
Optical Systems and Laser Technology
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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