Multiframe Superresolution Reconstruction Based on Self-Learning Method
Mu, S. S.; Y. Zhang; P. Jia; X. Yang and X. F. Qiu
刊名Mathematical Problems in Engineering
2015
页码12
英文摘要One category of the superresolution algorithms widely used in practical applications is dictionary-based superresolution algorithms, which constructs a single high-resolution (HR) and high-clarity image from multiple low-resolution (LR) images. Despite the fact that general dictionary-based superresolution algorithms obtain redundant dictionaries from numerous HR-LR images, HR image distortion is unavoidable. To solve this problem, this paper proposes amultiframe superresolution reconstruction based on self-learning methods. First, multiple images from the same scene are selected to be both input and training images, and larger-scale images, which are also involved in the training set, are constructed from the learning dictionary. Then, different larger-scale images are constructed via repetition of the first step and the initial HR sets whose scale closely approximates that of the target HR image are finally obtained. Lastly, initial HR images are fused into one target HR image under the NLM idea, while the IBP idea is adopted to meet the global constraint. The simulation results demonstrate that the proposed algorithm produces more accurate reconstructions than those produced by other general superresolution algorithms, while, in real scene experiments, the proposed algorithm can run well and create clearer HR images from input images captured by cameras.
收录类别SCI
内容类型期刊论文
源URL[http://ir.ciomp.ac.cn/handle/181722/55356]  
专题长春光学精密机械与物理研究所_中科院长春光机所知识产出
推荐引用方式
GB/T 7714
Mu, S. S.,Y. Zhang,P. Jia,et al. Multiframe Superresolution Reconstruction Based on Self-Learning Method[J]. Mathematical Problems in Engineering,2015:12.
APA Mu, S. S.,Y. Zhang,P. Jia,&X. Yang and X. F. Qiu.(2015).Multiframe Superresolution Reconstruction Based on Self-Learning Method.Mathematical Problems in Engineering,12.
MLA Mu, S. S.,et al."Multiframe Superresolution Reconstruction Based on Self-Learning Method".Mathematical Problems in Engineering (2015):12.
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