节点文献
图像脉冲噪声的模糊检测与消除
Impulse Noise Detection and Removal Using Fuzzy Reasoning
【摘要】 论述了基于模糊规则的脉冲噪声滤波器。该滤波器由模糊脉冲噪声检测器、噪声消除器与模糊结合器构成。模糊脉冲噪声检测器用窗口内的中值与邻近像素信息来检测脉冲噪声,而脉冲消除器用最小最大值算法来计算噪声像素的估计值。与传统的脉冲噪声滤波器相比较,所设计的新滤波器具有良好的脉冲噪声抑制与图像细节边缘保护的性能。
【Abstract】 In this paper, a new filter is presented which adopts fuzzy rules. The filter consists of a fuzzy impulse noise detector, impulse noise canceller and fuzzy jointer. The fuzzy impulse noise detector using median value and neighbourhood information detects impulse noise. The impulse noise canceller uses minimum -maximum estimate method. The fuzzy filter is good at preserving fine details and suppressing impulse noise at the same time than other impulse noise filters.
【关键词】 模糊信号处理;
模糊推理;
模糊系统;
图像增强;
降噪;
【Key words】 fuzzy signal processing; fuzzy reasoning; fuzzy system; image enhancement; noise removal;
【Key words】 fuzzy signal processing; fuzzy reasoning; fuzzy system; image enhancement; noise removal;
- 【文献出处】 通信技术 ,COMMUNICATIONS TECHNOLOGY , 编辑部邮箱 ,2000年03期
- 【分类号】TN911
- 【被引频次】13
- 【下载频次】112