关键词: 脉冲噪声, 加权检测, 图像去噪, 滤波器

Abstract: Based on the analysis of the principles of noise detection and noise filtering, an effective image denoising algorithm was proposed to restore images corrupted by impulse noise. The proposed algorithm utilized the directional difference to decompose the window into four subwindows, and then accurately distinguished noise points from signal points by comparing the absolute weighted mean value of the differences between the center pixel and its neighboring pixels in four subwindows with a predefined threshold. According to the directional correlation-dependence, the proposed algorithm adopted an edge-preservation filtering method to reconstruct the value of the corrupted pixel. The experimental results demonstrate that the proposed algorithm can obtain higher Peak Signal-to-Noise Ratio (PSNR) value and preserve more detailed information.

Key words: impulse noise, weighted detection, image denoising, filter