Fast approach to super-resolution image reconstruction

Di Zhang; Weiping Hu; Jiazhong He; Minghui Du

doi:10.1117/12.747702

15 November 2007 Fast approach to super-resolution image reconstruction

Di Zhang, Weiping Hu, Jiazhong He, Minghui Du

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.

Citation Download Citation

Di Zhang, Weiping Hu, Jiazhong He, and 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); https://doi.org/10.1117/12.747702

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KEYWORDS

Reconstruction algorithms

Lawrencium

Image restoration

Nonlinear filtering

Super resolution

Algorithm development

Image processing

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