Reflectance-based Code Optimization for Motion Deblurring

Jaelin Lee, B. Jeon
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Abstract

We propose a method for determining a code set based on the reflectance of the scene in the coded exposure photography technique using multiple color LEDs with same power. Coded exposure imaging affects image brightness, which affects motion deblurring performance. Thus, the performance of the motion deblurring depends on the duty cycle of the code. Previously, since the image was modulated with a single code, the duty cycle of the code considered only the overall brightness of the scene. The coded imaging with multiple color LEDs can consider the brightness of each color channel, allowing the code set to be further optimized based on the reflectance of each color in the scene. We demonstrated the effectiveness of our method by comparing it with conventional methods and confirmed that the average PSNR increases by 2.2dB.
基于反射率的运动去模糊代码优化
在编码曝光摄影技术中,我们提出了一种基于场景反射率的编码集确定方法。编码曝光成像影响图像亮度,从而影响运动去模糊性能。因此,运动去模糊的性能取决于代码的占空比。以前,由于图像是用单个代码调制的,所以代码的占空比只考虑场景的整体亮度。多色led编码成像可以考虑每个颜色通道的亮度,允许基于场景中每种颜色的反射率进一步优化代码集。通过与传统方法的比较,我们证明了该方法的有效性,并证实了平均PSNR提高了2.2dB。
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