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Improved Estimation of defocus blur and spatial shifts in spatial domain: A homotopy-based approach

机译：空间域中离焦模糊和空间位移的改进估计：基于同伦的方法

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F. Deschênes; D. Ziou; P. Fuchs;
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年度 2008
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1. Improved estimation of defocus blur and spatial shifts in spatial domain: a homotopy-based approach [J] . Deschenes F., Ziou D., Fuchs P. Pattern Recognition: The Journal of the Pattern Recognition Society . 2003,第9期

机译：改进的散焦模糊和空间域中空间移位的估计：基于同伦的方法
2. An unified approach for a simultaneous and cooperative estimation of defocus blur and spatial shifts [J] . F. Deschenes, D. Ziou, P. Fuchs Image and Vision Computing . 2004,第1期

机译：同步和协同估计散焦模糊和空间偏移的统一方法
3. Spatially variant defocus blur map estimation and deblurring from a single image [J] . Zhang Xinxin, Wang Ronggang, Jiang Xiubao, Journal of visual communication & image representation . 2016,第Feba期

机译：空间变异散焦模糊图估计和单个图像的去模糊
4. Homotopy-based estimation of depth cues in spatial domain [C] . F. Deschenes, D. Ziou, P. Fuchs International Conference on Pattern Recognition . 2002

机译：基于同型的空间域深度线索估计
5. Modeling, approximation, and estimation of spatially-varying blur in photographic systems [D] . Simpkins, Jonathan. 2016

机译：摄影系统中空间变模的建模，近似和估计
6. Machine learning approach for rapid and accurate estimation of optical properties using spatial frequency domain imaging [O] . Swapnesh Panigrahi, Sylvain Gioux 2019

机译：机器学习方法可使用空间频域成像快速准确地估计光学特性
7. Depth From Defocus Estimation in Spatial Domain [O] . Djemel Ziou, François Deschênes 1999

机译：空间域散焦估计的深度

Improved Estimation of defocus blur and spatial shifts in spatial domain: A homotopy-based approach

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