中文摘要：

提出一种曲面Min/max流去噪方法,利用图像曲面曲率代替经典方法曲线曲率并修改开关机制,增强对复杂噪声环境的适应性,同时加入梯度权控制边缘曲面演化速度,在噪声压制的同时尽量保持边缘。实验表明,该方法能够在去除噪声的同时保持比较清晰的图像边缘。

英文摘要：

As image surface is introduced for the surface Min/max flow denoising method,the curvature of isolux curve in classical Min/max flow is replaced by the one of image surface and improves switching mechanism for better adaptability on complex noise,while adding gradient weight to control evolving speed of image surface for better edge preserving.The proposed method makes Center-Weighted Mean filtering as preprocessing in order to eliminate remarkable impulse noise which could make inefficiency in Min/max flow.In the denoising experiment of Remote Sensing image with artificial noise,the resultant image indicate that the proposed method removes noise effectively while preserving edge well,and the statistical data for PSNR,SSIM and detail preserving index is good or better than some other popular denoising methods such as BM3D,wavelet.