15 November 2007 MAP algorithm to super-resolution of infrared images
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Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67870K (2007) https://doi.org/10.1117/12.748453
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Super-resolution reconstruction has been widely used in infrared images. A lot of effective super-resolution methods have been presented in recent years. In this paper, a fast and robust super-resolution algorithm based on Maximum a Posteriori (MAP) estimation is proposed to obtain a high resolution image from a set of infrared images, which are obtained by an uncooled infrared detector. A comparison and an analysis are made of the super-resolution reconstruction results by this method, with the variance of regularizations and the number of low resolution infrared images, by direct observation and the value of Power Signal-to-Noise Ratio (PSNR). Simulation results with several real sets of infrared images show the effectiveness and superiority of this method for enhancing resolution of infrared images.
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Gang Sun, Qinghui Li, Lin Lu, "MAP algorithm to super-resolution of infrared images", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67870K (15 November 2007); doi: 10.1117/12.748453; https://doi.org/10.1117/12.748453
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