基于像素分类的像素值阈值噪声检测算法

针对图像噪声常见的三种脉冲噪声模型,在像素差异均等性原则下,以窗口分块方式将图像像素分为噪声像素和非噪声像素子集,进而以噪声图像上下像素值阈值推导噪声类型判别式,得到一种非线性像素分类的图像噪声检测算法.以经典图像(Lena、Baboon)分别叠加上不同密度噪声进行噪声图像检测算法仿真测试,由检测精确性和正确性来评估所提出的检测算法的检测性能.仿真结果表明,该检测算法具有较好的检测效果,缺点是容易将部分非噪声像素识别为噪声像素.

Pixel classification-based noise detector with pixel value threshold

According to three kinds of impulse noises in image processing,a novel technique is presented to classify pixels by pixel difference uniformity with blocks into noise pixel sets and non-noise pixel sets.Moreover,a novel nonlinear noise detector is proposed to identify the noise types by a discriminance with up-down pixel thresholds in noise image.The presented algorithm is tested by a classical image(Lena) and image(Baboon) with adding a different density noise.The simulation results are evaluated by two indexes,named detecting accuracy and detecting correctness.The results indicate that the proposed algorithm has a favorable detecting performance,but its shortage is easy to mistake a non-noise pixel for a noise pixel.