A Second Derivative-based Image Denoising Algorithm
Chuancai Liu · Journal of Zhangzhou Normal University · 2008
The relationship between divergence-based and second derivative-based algorithm for image denoising is described and then a new second derivative-based algorithm is put forward.Moreover,tangle diffusion coefficient and normal diffusion coefficient are proposed.Experimental results show that when normal diffusion coefficient is decreasing function and the larger gradient the smaller coefficient,the edges in normal direction are preserved;when the smaller gradient the larger coefficient,the noises in normal direction are smoothed.Tangle diffusion coefficient retains large constant value and always smoothes noises in tangle direction.Therefore the good results are obtained with the algorithm.