A 28.8mW Accelerator IC for Dark Channel Prior Based Blind Image Deblurring

Po-Shao Chen, Yen-Lung Chen, Yu-Chi Lee, Zih-Sing Fu, Chia-Hsiang Yang
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Abstract

Image deblurring can be applied to mitigate the effect introduced by relative movement between object and camera, as shown in Fig. 1(a). Blind deblurring restores sharp images without knowing the camera motion, but it is also very time consuming. For example, it takes 11.4 minutes to process a full-HD image for [1]. Since the blur kernel estimation occupies 99% of blind deblurring process, a dedicated accelerator that utilizes the prior knowledge of gradients for real-time deblurring on mobile devices is presented in [2], which reduces the processing time from 11.4 minutes to 1.7 seconds.
基于暗通道先验的图像去模糊28.8mW加速芯片
如图1(a)所示,可以对图像进行去模糊处理,以减轻物体与相机之间的相对运动所带来的影响。盲目去模糊在不知道相机运动的情况下恢复清晰的图像,但也非常耗时。例如,对于[1],处理一张全高清图像需要11.4分钟。由于模糊核估计占据了99%的盲去模糊过程,[2]提出了一种利用梯度先验知识在移动设备上进行实时去模糊的专用加速器,将处理时间从11.4分钟缩短到1.7秒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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