15 November 2007 Fast approach to super-resolution image reconstruction
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Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678614 (2007) https://doi.org/10.1117/12.747702
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Super-resolution image reconstruction produces a high-resolution image or high- resolution image sequences from a set of shifted, blurred, and decimated versions thereof, and has been proven to be extremely useful in early vision, video surveillance, and other applications. However, as magnification increases, previously published techniques get worse either in computational complexity or ringing artifacts. In this paper, a fast approach is proposed to reduce both the ringing artifacts and the computational complexity. Experiment results demonstrate that the new approach is more efficient and can provide much better reconstruction quality in comparison with normal super-resolution algorithms.
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Di Zhang, Di Zhang, Weiping Hu, Weiping Hu, Jiazhong He, Jiazhong He, Minghui Du, Minghui Du, } "Fast approach to super-resolution image reconstruction", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678614 (15 November 2007); doi: 10.1117/12.747702; https://doi.org/10.1117/12.747702
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