Multi-channel Image Deblurring using Coded Flashes

被引:2
|
作者
Lee, Jaelin [1 ]
Jeon, Byeungwoo [1 ]
机构
[1] Sungkyunkwan Univ, Dept Elect & Comp Engn, 2066 Seobu Ro, Suwon, South Korea
关键词
Computational photography; coded pattern; coded flash; image deconvolution; multi-channel image deblurring; COMPLEMENTARY SETS;
D O I
10.1117/12.2590981
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Motion blur is easily observable in an image having moving objects, and the coded exposure photography is one of the well-known solutions to its removal. In this paper, we propose a novel coded exposure photography technique to capture images of moving objects using coded flashes. Noting that the camera acquires a multi-channel image at once by using a color filter array, we modulate each channel image differently by using multi-band coded flashes. By modulating the point spread function of the acquired channel image to have a jointly invertible point spread function, its deconvolution performance is significantly improved compared to the existing single image coded exposure photography. We prove the effectiveness of the proposed method through experiments using synthetic and real data.
引用
收藏
页数:6
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