节点文献
CMOS图像传感器的自适应降噪方法研究
Research of Adaptive Noise Reduction for CMOS Image Sensor
【摘要】 提出了一种用于CMOS图像传感器的新型自适应降噪方法,并进行了逻辑电路实现。该方法通过运动检测和边缘检测技术进行噪声功率统计和分析,选择性的利用中值滤波、均值滤波以及运动自适应滤波方法,对传感器输出图像进行了数字降噪处理。实验表明本文方法降低了高斯噪声和椒盐噪声的影响,有效提高了图像质量和峰值信噪比。其结构易于电路实现,适用于CMOS图像传感器内部的实时降噪处理。
【Abstract】 A novel adaptive noise reduction method for CMOS image sensor is proposed and implemented by digital logic circuit. Motion detection and edge detection is adopted for noise power statistic and noise analysis. To decrease the output digital image noise, the median filtering, average filtering and motion adaptive filtering, are selectively presented. Experiment results show that Gaussian noise and salt-pepper noise are reduced. The image quality and peak signal-noise ratio is impressively improved. This method is friendly for hardware implementation and real-time de-noising in CMOS image sensor.
【Key words】 CMOS Image Sensor(CIS); adaptive noise reduction; noise power statistic; Peak Signal-Noise Ratio (PSNR);
- 【文献出处】 传感技术学报 ,Chinese Journal of Sensors and Actuators , 编辑部邮箱 ,2008年09期
- 【分类号】TP212
- 【被引频次】14
- 【下载频次】349