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14 December 2015 A novel algorithm for multi-frame real image restoration
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Proceedings Volume 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 98151O (2015) https://doi.org/10.1117/12.2205516
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
Abstract
We present a novel blind restoration algorithm to restore object images from real images based on maximum likelihood estimation. In order to estimate the unknown turbulence point spread functions (PSF) of the observed image contain the same objects, multi-frame images are used to construct an integral likelihood function. A series of experiments for synthetic and real images illustrate that the proposed algorithm is effective in restoring real images.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xia Hua and Yu Shi "A novel algorithm for multi-frame real image restoration", Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 98151O (14 December 2015); https://doi.org/10.1117/12.2205516
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