A new fast and efficient decision-based algorithm for removal of high-density impulse noises
A new fast and efficient decision-based algorithm for removal of high-density impulse noises
复制标题
DOI：
10.1109/lsp.2006.884018
复制
发表时间：
2007-03-01
影响因子：
3.9
通讯作者：
Ebenezer, D.
中科院分区：
文献类型：
--
作者：
Srinivasan, K. S.;Ebenezer, D.
提出了一种新的基于判决的脉冲噪声图像恢复算法。新算法显示出显着更好的图像质量比标准中值滤波器（SMF），自适应中值滤波器（AMF），阈值分解滤波器（TDF），级联，递归非线性滤波器。与其他非线性滤波器不同的是，该方法只去除被中值或其相邻像素值破坏的像素。因此，所提出的方法即使在高达90%的噪声水平下也能有效地去除噪声，并且在高达80%的噪声水平下保留边缘而没有任何损失。所提出的算法（PA）在不同的图像上进行测试，并发现产生更好的结果，在定性和定量的措施的图像。
A new decision-based algorithm is proposed for restoration of images that are highly corrupted by impulse noise. The new algorithm shows significantly better image quality than a standard median filter (SMF), adaptive median filters (AMF), a threshold decomposition filter (TDF), cascade, and recursive nonlinear filters. The proposed method, unlike other nonlinear filters, removes only corrupted pixel by the median value or by its neighboring pixel value. As a result of this, the proposed method removes the noise effectively even at noise level as high as 90% and preserves the edges without any loss up to 80% of noise level. The proposed algorithm (PA) is tested on different images and is found to produce better results in terms of the qualitative and quantitative measures of the image.