Abstract：An effective noise detection algorithm based on two-threshold and iteration for noise images with impulse noise was proposed to decrease the influence of impulse noise. The selective method of two-threshold was reliable in theory, and the two-step iteration method guaranteed the accuracy of noise detection. Moreover, the median filtering algorithm with selected pixels made sure that the details of image were not blurred at the same time. The experimental results show that the proposed algorithm is more robust and adaptive, and it has lower leak-detection and better filtering effect.
杨润玲 周军妮 魏蕊. 基于双阈值及迭代法的图像脉冲噪声检测算法[J]. 计算机应用, 2012, 32(07): 1885-1889.
YANG Run-ling ZHOU Jun-ni WEI Rui. Effective detection algorithm based on two-threshold and iteration for images with impulse noise. Journal of Computer Applications, 2012, 32(07): 1885-1889.
2012, Vol. 32 
