CAJ | 학술논문

针对常见滤除椒盐噪声算法需要使用阈值、运算时间长、去除噪声效果不理想等缺陷，提出了一种快速高效去除图像椒盐噪声的均值滤波算法。新算法对滤波窗口下的疑似噪声像素，有针对性地选择少数信号像素构成信号像素集合，取集合中的元素均值对疑似噪声像素进行滤波。实验结果表明，对于噪声密度为1％到99％的图像，新算法均具有良好的去除噪声能力和保持细节能力，而且整个算法耗费时间很少，因而具有较大的实用性。
침대상견려제초염조성산법수요사용역치、운산시간장、거제조성효과불이상등결함，제출료일충쾌속고효거제도상초염조성적균치려파산법。신산법대려파창구하적의사조성상소，유침대성지선택소수신호상소구성신호상소집합，취집합중적원소균치대의사조성상소진행려파。실험결과표명，대우조성밀도위1％도99％적도상，신산법균구유량호적거제조성능력화보지세절능력，이차정개산법모비시간흔소，인이구유교대적실용성。
Fast and efficient mean filter algorithm is proposed to overcome the drawbacks of some classic algorithms.For the suspected noise pixel,the algorithm firstly create a set composed of signal pixels selected from the borders of 3 ×3 filtering window,then noise is removed by means of mean filtering if the set composed of signal pixels is not emp-ty;else the image is restored based on the method mentioned above by enlarging filtering window until the set com-posed of signal pixels is not empty. The experimental results show that this algorithm has excellent filtering perform-ance for all noise ratios from 1% to 99%,besides,the algorithm can preserve the details of the image very well and the computation time is very short,it is useful in practical application.