A WAVELET THRESHOLDED ANISTROPIC DIFFUSION

摘要

The equivalent representation of Lin-Shi problem via linear coupled wavelet shrinkage is presented in this paper, and based on this, we obtain a wavelet thresholded anistropic diffusion. The diffusion coefficient is dependent on the gradient of the image and the second derivatives estimated on the thresholded image. The new operator is capable of removing noise efficiently and preserving the edge locality and thin edges, Experiments show that the processed images have high fidelity and contrast and the new operator has an advantage of removing noise in images with heavy Gaussian noise.