Surface Min/max Flow Method for Remote Sensing Image Denoising

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.