Real Time Speckle Filter by Cellular Neural Network
Nguyễn Tuấn Minh, Phạm Thượng Cát, Phạm Đức Long · 2009
The present of speckle noise affects the exploitation of useful information in images, especially, in the ultrasound and SAR image. It is desirable to remove speckle noise in real time processing without damaging the image features. In this paper, we propose a new method to suppress the speckle noise in realtime by using cellular neural network (CNN) technology. Section 2, CNN and cellular neural network universal machine (CNN-UM) will be briefly introduced, which are the optimized technology for real time image processing applications. Section 3, a few mathematical models of anisotropic diffusion methods for reducing speckle noise on the SAR images will be surveyed and analyzed. In section 4, is also the main part, presented how to design a speckle denoising filter to eliminate the speckle noise and enhance the image features by converting the conventional denoising algorithm to templates, that make CNN chip understandable and processes as a real-time speckle reducing filter. The experiment's results are given in section 5 and some conclusions and future works are summarized in the last section.