【作者】 韩晓微； 晏磊； 原忠虎； 徐心和；

【Author】 HAN Xiaowei YAN Lei YUAN Zhonghu XU Xinhe Beijing Key Lab Spatial Information Integration & Its Application, Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China School of Information Engineering, Shenyang University, Shenyang, 110044, China School of Information Science & Engineering, Northeastern University, Shenyang 110004, China

【机构】 北京大学遥感与地理信息系统研究所空间信息集成与3S工程应用北京重点实验室； 沈阳大学信息工程学院； 东北大学人工智能与机器人研究所；

【摘要】 根据图像中象素点附近四个邻域的灰度均值,自适应调整脉冲噪声判断阈值,检测各(?) 通道的脉冲噪声位置,由各通道的噪声检测结果经运算得到彩色图像脉冲噪声检测结果。采用改(?) 自适应矢量中值滤波法,对脉冲噪声有选择地滤除。实验结果表明,该方法结合标量方法进行脉(?) 声检测,矢量方法滤除彩色图像中的脉冲噪声,具有较好的滤波性能指标和视觉效果。更多还原

【Abstract】 The locations of impulse noises are detected with the judgment threshold adjusted adaptively according to the average value of the four fields surrounding the pixels to be detected. Furthermore, the detected results of impulse noises of every color channel image are synthesized to the final result of the whole color image. On the results, an approach of improved median filtering is applied to remove selectively the impulse noises in a color image. Simulation experiments show that the approach can remove the impulse noises of color image effectively and have better performances than the other existing approaches for color image filtering.更多还原