In this paper, an adaptive noise detection and removal algorithm using local statistics for salt-and-pepper noise are proposed. In order to determine constraints for noise detection, the local mean, varianoe, and maxi...In this paper, an adaptive noise detection and removal algorithm using local statistics for salt-and-pepper noise are proposed. In order to determine constraints for noise detection, the local mean, varianoe, and maximum value are used. In addition, a weighted median filter is employed to remove the detected noise. The simulation results show the capability of the proposed algorithm removes the noise effectively.展开更多
传统的基于局部统计的实时增强算法不能解决噪声引入的固有缺点,抗噪性能差导致其应用效果不理想。针对这一缺点,提出了一种基于超限邻域法的改进的实时图像局部增强算法。和传统的基于局部统计的增强算法相比,算法较大地提高了其抗噪性...传统的基于局部统计的实时增强算法不能解决噪声引入的固有缺点,抗噪性能差导致其应用效果不理想。针对这一缺点,提出了一种基于超限邻域法的改进的实时图像局部增强算法。和传统的基于局部统计的增强算法相比,算法较大地提高了其抗噪性能,且需要额外计算的邻域均值在原有算法中已计算过,实际增加的计算量很小。增强后,边界不会出现明显轮廓,保证了视觉效果。仿真实验结果表明,改进算法的抗噪声性能得到提高,峰值性噪比提高接近4 d B。硬件平台测试后,每秒帧数达到了约50帧,能满足实时应用要求。展开更多
基金supported by the Korea Science and Engineering Foundation(KOSEF)granted bythe Korea government(MEST)(No.2009-0079776)
文摘In this paper, an adaptive noise detection and removal algorithm using local statistics for salt-and-pepper noise are proposed. In order to determine constraints for noise detection, the local mean, varianoe, and maximum value are used. In addition, a weighted median filter is employed to remove the detected noise. The simulation results show the capability of the proposed algorithm removes the noise effectively.
文摘传统的基于局部统计的实时增强算法不能解决噪声引入的固有缺点,抗噪性能差导致其应用效果不理想。针对这一缺点,提出了一种基于超限邻域法的改进的实时图像局部增强算法。和传统的基于局部统计的增强算法相比,算法较大地提高了其抗噪性能,且需要额外计算的邻域均值在原有算法中已计算过,实际增加的计算量很小。增强后,边界不会出现明显轮廓,保证了视觉效果。仿真实验结果表明,改进算法的抗噪声性能得到提高,峰值性噪比提高接近4 d B。硬件平台测试后,每秒帧数达到了约50帧,能满足实时应用要求。
