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基于NiosⅡ的图像去噪系统设计
An Image Denoising Algorithm Based on NiosⅡ
【摘要】 基于NiosⅡ软核处理器技术,以SOPC方式,在Altera DE2-70开发板上实现图像去噪算法.算法利用交叉皮层模型ICM(Intersecting Cortical Model,ICM)定位噪声点,并结合经典滤波算法对检测出来的噪声点进行局部滤波.实验结果表明在NiosⅡ上实现的算法既有效地去除了噪声,同时又保持了图像细节,去噪速度有较大提高.
【Abstract】 The image denoising algorithm based on NiosⅡ is implemented on Altera DE2-70.The main algorithm detects noise points by the Intersecting Cortical Model(ICM),and then those noise points could be filtered locally by classical filtering algorithm.The experimental results show that the algorithm based on NiosⅡ can remove noises effectively,and also keep more details of the original image.
【关键词】 NiosⅡ处理器;
SOPC;
FPGA;
交叉皮层模型;
图像去噪;
【Key words】 NiosⅡ processing system; SOPC; FPGA; intersecting cortical model; image denoising;
【Key words】 NiosⅡ processing system; SOPC; FPGA; intersecting cortical model; image denoising;
【基金】 国家自然科学基金(60872109)
- 【文献出处】 甘肃科学学报 ,Journal of Gansu Sciences , 编辑部邮箱 ,2011年03期
- 【分类号】TP391.41
- 【被引频次】5
- 【下载频次】87