基于窗口的自适应中值滤波算法

滤波窗口是影响椒盐噪声滤除效果的重要因素。针对自适应中值滤波算法(RAMF)的不足，提出了一种基于窗口的自适应中值滤波算法。该算法分为噪声的检测和滤除两部分。在噪声检测部分，主要通过混合窗口检测出准噪声点，将其用窗口中值代替，而其余信号点保持不变。重复此方法，直至所有的准噪声点处理完毕。然后，在噪声滤除部分，主要根据噪声密度选择合适的最大滤波窗口半径，进而实现噪声滤除。最后，为验证算法的有效性开展了仿真研究，仿真结果表明本算法对椒盐噪声的滤除具有很好的效果，增强了图像的清晰度。

Adaptive median filtering algorithm based on window

Filtering window is an important factors for filtering salt and pepper noise. Aiming at the shortage of the adaptive median filter algorithm (RAMF), an window-based RAMF is proposed. This algorithm can be divided into two parts ,which are noise detection and filtering. In the former part, the quasi noise points are detected and changed with the window median while the rest of signal points remain unchanged through the mixing window. This method is repeated until no noise points are replaced .Then, in the latter part , the noise filtering is realized after the appropriate maximum radius of the filter window is selected according to the noise density. Finally ,the simulation study is carried out to verify the effectiveness of the proposed algorithm .It shows that the proposed algorithm has a significant effect on filtering the salt and pepper noise, and the image clarity is enhanced.