基于总变分和中值滤波的图像去噪方法OA
Image De-noising Based on Total Variation and Median Filter
总变分图像去噪方法是一种经典的图像去噪算法,但是在噪声水平较高时容易产生虚假边缘,从而影响了去嗓效果.为了克服总变分去噪算法客易产生虚假边缘的不足并有效地去除嗓声,在此利用噪声的无方向性这一与边缘特性不同的特点,提出了一种结合中值滤波和总变分的图像去嗓方法.为了说明该去噪算法的有效性,进行了大量的仿真实验.实验结果表明,该方法降噪效果明显,人眼能直观感受到图像质童的改善,在高噪声水平下,其峰值信噪比至少提高了1.2 dB左右.
Total variation image de-noising method is a classic algorithm, but false edges can hardly be eliminated in the case of high noise level, thus it is hard to achieve satisfactory de-noising effect. In order to overcome this weak point, a new image de-noising method is proposed, which combines the total variation theory with median filter image de-nosing. To illustrate the effect of this de-noising algorithm, a series of simulation experiments is carried out, …查看全部>>
宋海英
成都电子机械高等专科学校通信工程系,四川,成都,610031
信息技术与安全科学
图像去噪总变分假边缘中值滤波
image de-noising total variation false edge median filter
《现代电子技术》 2011 (14)
16-18,3
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