Selecting the Optimal Gaussian Filtering Scale via the SNR of Image
基于图像信噪比选择优化高斯滤波尺度

This paper presents an algorithm to select the optimal Gaussian filtering scale. First, it estimates the SNR of image to evaluate the noise degraded intensity of image. Second, it obtains the optimal Gaussian filtering scales by using optimal criteria on the sample images with varying intensity of noise. Finally, a statistically investigation of the relationship between the optimal Gaussian scales and their corresponding SNR and using the method of data fitting lead to the algorithm of estimating Gaussian filtering scale based on the SNR of image. Applied experiments on the algorithms of Canny edge detection and the nonlinear diffusion filtering demonstrate the efficiency of the proposed algorithm.