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Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
Published on: February 12, 2014
Research on self-supervised super resolution restoration algorithm based on reflective micro-scanning optical system
Jian Chen1,2, Yuwei Wang3, Xin Ye3,4
1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130033, China. chenjian4500@163.com.
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The features of infrared image such as less details and low SNR become bottleneck of infrared image application. This paper mainly focuses on research of super-resolution restoration algorithm of infrared image based on reflective infrared micro-scanning optical system. Aiming at solving super-resolution restoration problem of infrared image, self-supervised super resolution restoration algorithm is proposed and optimized. Meanwhile, reflective infrared micro-scanning optical system is introduced to break theoretical limit of simple image processing algorithm. And performance of infrared image super-resolution restoration is improved.

