Super-resolution image reconstruction from a sequence of motion images

Wei Xie; Tao Sun; Guoying Liu; Qianqing Qin

doi:10.1117/12.748615

14 November 2007 Super-resolution image reconstruction from a sequence of motion images

Wei Xie, Tao Sun, Guoying Liu, Qianqing Qin

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 679049 (2007) https://doi.org/10.1117/12.748615
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Super-resolution technology is used to reconstruct a single high resolution image from a Sequence of low resolution images to try to restore the information outside of the cutoff frequency, so observer can obtain more details and useful information from the acquired images. This paper proposes a new method based on projection onto convex sets, adaptive to subpixel motion estimation, to create a high resolution image from a sequence of lower-resolution motion images. The experiment shows that edge details of the reconstructed image remain very well and more useful information can be obtained form the reconstructed image. But parasitic bellows and noise are still exists and slightly enlarged in somewhere. Generally speaking, the method is robust and effective.

Citation Download Citation

Wei Xie, Tao Sun, Guoying Liu, and Qianqing Qin "Super-resolution image reconstruction from a sequence of motion images", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 679049 (14 November 2007); https://doi.org/10.1117/12.748615

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