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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