...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Knowledge and information systems >A hybrid image restoration approach: fuzzy logic and directional weighted median based uniform impulse noise removal
【24h】

A hybrid image restoration approach: fuzzy logic and directional weighted median based uniform impulse noise removal

机译：混合图像恢复方法：基于模糊逻辑和方向加权中值的均匀脉冲噪声去除

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, a hybrid image restoration technique based on fuzzy logic and directional weighted median is presented. The proposed technique consists of noise detection and fuzzy filtering processes to detect and remove uniform (random-valued) impulse noise while preserving the image details efficiently. In order to preserve image details such as edges and texture information, a two-stage robust noise detection is presented in this paper. Pixels detected as noisy by both the noise detection stages are considered for noise removal by the fuzzy filtering process, which utilizes the direction based weighted median to construct fuzzy membership function, which is the main contributing factor in noise removal and detail preservation. Extensive experimentation shows that the proposed technique performs significantly better than state-of-the-art filters based on peak signal-to-noise ratio, structural similarity index measure and subjective evaluation criteria.
机译：提出了一种基于模糊逻辑和方向加权中值的混合图像复原技术。所提出的技术包括噪声检测和模糊滤波过程，以检测并消除均匀（随机值）脉冲噪声，同时有效地保留图像细节。为了保留图像细节，例如边缘和纹理信息，本文提出了一种两阶段鲁棒噪声检测。模糊滤波处理考虑了两个噪声检测阶段都检测到有噪点的像素的噪声去除，该模糊滤波处理利用基于方向的加权中值构造模糊隶属度函数，这是影响噪声去除和细节保留的主要因素。大量的实验表明，基于峰值信噪比，结构相似性指标度量和主观评估标准，所提出的技术的性能明显优于最新的滤波器。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号