Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea.
Opt Lett. 2013 Jun 15;38(12):2023-5. doi: 10.1364/OL.38.002023.
A superimposition method for alleviating the characteristic artifact structure of an imaging fiber bundle is demonstrated. This method can reduce the inherent honeycomb patterns of fiber bundle images and restore hidden information by using pixelated images captured from neighboring locations. The pixelation effect is suppressed when multiple adjacent images, with centers separated by one core radius and arranged in a square pattern, are superimposed for summation. The restored image has preserved edge sharpness in cellular and vascular structure boundaries, compared to the reference image without pixelation and identical imaging modality, as found by optical coherence tomography.
本文展示了一种减轻成像光纤束特征伪影结构的叠加方法。该方法可以通过使用从相邻位置捕获的像素化图像来减少光纤束图像的固有蜂窝图案并恢复隐藏信息。当多个相邻的图像以中心相隔一个芯半径并以正方形图案排列进行叠加求和时，会抑制像素化效果。与未进行像素化且具有相同成像模式的参考图像相比，通过光学相干断层扫描发现，恢复后的图像在细胞和血管结构边界处保留了边缘锐度。
