Homotopy-based computation of defocus blur and affine transform

被引:0
|
作者
Deschênes, F [1 ]
Ziou, D [1 ]
机构
[1] Univ Sherbrooke, Dept Math & Informat, Sherbrooke, PQ J1K 2R1, Canada
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a homotopy-based algorithm for a simultaneous recovery of defocus blur and the affine transformation between two images of the same scene. One of the images (and its partial derivatives) is expressed as a function of the second images, the partial derivatives of the two images, the blur difference, the affine parameters and a continuous parameter derived from homotopy methods. All of these unknowns can thus be directly computed by resolving a system of equations. The proposed algorithm is tested using synthetic and real images. The results confirm that dense and accurate estimation can be obtained.
引用
收藏
页码:398 / 404
页数:7
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