计算机科学
捆绑
计算机视觉
点扩散函数
人工智能
毫秒
噪音(视频)
卷积(计算机科学)
计算
图像处理
图像质量
纤维
图像分辨率
计算机图形学(图像)
图像(数学)
算法
复合材料
有机化学
天文
化学
材料科学
人工神经网络
物理
作者
Manatchakorn Dumripatanachod,Wibool Piyawattanametha
标识
DOI:10.1109/bmeicon.2015.7399579
摘要
By using an fiber bundle endomicroscope to transmit the image, image quality is typically degraded by pixelation artifacts due to the spacing between individual fiber core in the liber bundle. Generally7 a personal computer is required to remove these artifacts in real-time which making the overall system bulky and cost In this work, we proposed a method of fast image processing to eliminate pixelation artifacts and enhancing signal to noise of acquire images. The computation was implemented on an embedded system in order to prototype a truly affordable portable imaging system for a remote clinic. The calculation technique to implement real-time display involves a convolution of a square point spread function separated into two one-dimensional arrays with no floating point An averaged processing time of 13 millisecond is achieved from this method, which is foster than a standard Gaussian filtering method of an OpenCV library version 3.0 by a factor of 50.
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