It is difficult for conventional anisotropic diffusion filters to estimate edge pixel in noisy condition. In this paper, a new construction method for conduction coefficient was proposed, which improved the estimation of edge pixels in diffusing iteration and showed good performance for high-level noise reducing. The experimental tests were implemented on highly noised synthetic and scene images, and results proved our method excels over traditional filters in terms of variance reduction, edge preservation, and visual comparison.