基于分数阶微分梯度的噪声检测算法

Noise detection algorithm based on fractional differential gradient

为了在图像去噪的同时,更多地保留图像原有的特征信息,本文将分数阶积分理论引入到数字图像去噪中,通过分数阶微分梯度算法确定图像中噪声的位置,如果只对噪声点进行去噪处理,就可以有效保护图像的纹理和边缘信息.实验结果表明,基于分数阶微分梯度的噪声检测算法可以更准确地确定图像中噪声点像素的位置.

In order to preserve more image original feature information at the same time when the image denoising, this paper proposes a novel image noise detection algorithm which based on fractional differ- ential gradient. If image is processed only for noise points that will be able to effectively protect the image texture and edge information. Experimental results show that this algorithm can accurately locate the position of image noise.