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Pentagraph image fusion scheme for motion blur prevention using multiple monochromatic images

机译:使用多个单色图像防止运动模糊的五角星图像融合方案

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This paper introduces the pentagraph image fusion (PIF) scheme for motion-related blur prevention in images. The PIF algorithm processes five monochromatic images into a single, low-noise, no-blur color image. The images are acquired using a new photography scheme, sequential filter photography (SFP), where instead of using a stationary Bayer pattern color filter array in front of the image sensor, a tunable color filter array is used. Using this approach, several monochromatic images are captured one by one and later fused into one color image. The SFP introduces various advantages such as higher resolution, better SNR, and the ability to control both exposure time and color filter separately for each image. The PIF algorithm harnesses all the advantages of SFP for the first time, to the best of our knowledge, in the field of blur-free image acquisition. Five images are taken with controllable exposure time and color filter, three images for the color bands, and two high-signal panchromatic images. These images are fused together to be a single, low-noise, no-blur color image. The algorithm presents a generic approach of dealing with both local and global motion blur and does not require any user intervention. (C) 2016 Optical Society of America
机译:本文介绍了五角星图像融合(PIF)方案,用于防止图像中的运动相关模糊。 PIF算法将五个单色图像处理为一个低噪声,无模糊的彩色图像。使用新的摄影方案顺序滤镜摄影(SFP)来获取图像,其中使用可调整的滤色器阵列代替在图像传感器前面使用固定的Bayer图案滤色器阵列。使用这种方法,一张一张地捕获多个单色图像,然后融合为一个彩色图像。 SFP引入了各种优势,例如更高的分辨率,更好的SNR,以及能够分别控制每个图像的曝光时间和滤色器的能力。就我们所知,PIF算法在无模糊图像采集领域首次利用了SFP的所有优点。使用可控制的曝光时间和滤色镜拍摄了五张图像,用于色带的三幅图像和两幅高信号全色图像。这些图像融合在一起,成为一个低噪声,无模糊的彩色图像。该算法提出了一种处理局部和全局运动模糊的通用方法,不需要任何用户干预。 (C)2016美国眼镜学会

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