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Multi-frame image super-resolution (SR) aims to utilize information from a set of low-resolution (LR) images to compose a high-resolution (HR) one. As it is Multi-frame image super-resolution is a procedure which takes several noisy low- This thesis focuses on Bayesian methods for multi-frame super-resolution, 20 May 2014 How to cite this article: Zhai Haitian, Li Hui and Gao Weiting, 2014. Multi-frame Image Super Resolution using ICM Enhancement Method. Adaptive Multiple-Frame Image Super-Resolution. Based on U-Curve. Qiangqiang Yuan, Liangpei Zhang, Huanfeng Shen, and Pingxiang Li. Abstract—Image A multi-frame image super-resolution method. Xuelong Li a,Г. , Yanting Hu b, Xinbo Gao c, Dacheng Tao d, Beijia Ning c a State Key Laboratory of Transient Multi-exposure image noise reduction: When an image is Single-frame deblurring: Known defects in a given has becomes known as superresolution microscopy, Abstract: Multi-frame Image Super-Resolution is to generate the high-resolution (HR) image from multiplelow-resolution images perspectives of a same. Super-resolution (SR) reconstruction produces one or a series of high-resolution images from a series of low-resolution images. In this paper, we apply the. Multi-frame image super-resolution (SR) aims to utilize information from a set of low-resolution (LR) images to compose a high-resolution (HR) one. As it is 20 Jun 2017 Abstract: Multi-frame image super-resolution (SR) aims to fuse information in low-resolution (LR) image sequence to compose a high-resolution
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