关键词: 改进灰色关联度, 自适应滤波, 阿尔法均值滤波算法

Abstract: Owing to the characteristics of the gray relation analysis and the advantage of the alpha-trimmed mean filter, an efficient algorithm for noisy images removal based on the gray relational analysis and the alpha-trimmed mean filter is proposed. This algorithm uses the gray relation analysis to adjust the filter window’s coefficients adaptively, and it can improve the validity of the algorithms. Experimental results show that the proposed algorithm not only has better filtering effect for noisy image which corrupted by Gaussian noise or mixed noise, but also can preserve the integrity of edge and keep the details of the original image.

Key words: improved gray relational analysis, adaptive filter algorithm, Alpha-trimmed mean filter