A Decision Based Neighbourhood Referred Asymmetrically Trimmed Modified Trimean for the Removal of High Density salt and pepper noise in Images and videos is proposed. The proposed algorithm initially checks for the outliers in a 3 × 3 neighbourhood. If the processed pixel is noisy then check for the presence of noisy pixels with the 4 neighbours; If the 4 neighbours are found to hold outliers then mean of the 4 neighbours will replace the output. If the 4 neighbours are not noisy then the output is replaced by asymmetrically trimmed Modified Trimean. If all the pixels of the current processing window are noisy then the mean of all elements will replace the processed pixel. If the processed pixel does not hold the outlier then the pixel is termed as not noisy and left unaltered. The proposed algorithm exhibit excellent noise elimination capability with enhanced edge preservation capability. The algorithm was tested on a standard database and the results of the proposed algorithm were compared to 16standard and existing algorithms. The proposed algorithm exhibit excellent results in terms of both Quantitative and qualitative measures.

提出了一种基于决策的邻域参考非对称修剪修饰Trimean去除图像和视频中的高密度盐和胡椒噪声。提出的算法最初检查3×3邻域中的离群值。如果处理后的像素有噪点，则检查4个邻居中是否有噪点像素；否则，请检查噪点。如果发现4个邻居存在异常值，则4个邻居中的均值将替换输出。如果4个邻居不吵杂，则将输出替换为不对称修整的Modified Trimean。如果当前处理窗口的所有像素都嘈杂，则所有元素的均值将替换处理后的像素。如果处理后的像素没有保持离群值，则该像素被称为无噪点，并且保持不变。所提出的算法具有出色的噪声消除能力和增强的边缘保留能力。在标准数据库上对该算法进行了测试，并将该算法的结果与16标准算法和现有算法进行了比较。提出的算法在定量和定性方面均表现出优异的结果。