Implementation of Non-local Means Image Denoising on Embedded System
Shuozhong Wang · Video Engineering · 2013
Non-local means filtering is an effective image denoising technique.However,conventional algorithms generally require large storage space and high clock rates,therefore unsuitable for the implementation on an embedded system.In this study,a simplified non-local means denoising algorithm is described,which significantly reduces computational complexity with little loss of image quality.Image acquisition,non-local means denoising,and image display are implemented on an embedded system using S3C6410 processor based on ARM 11 and Windows CE.Both real-time operation and miniaturization are realized.Experiments show the system has satisfactory denoising performance.