首页> 外文会议>2018 4th International Conference on Computing Communication and Automation >An Efficient Approach of Filtering for Noises on Images
【24h】

An Efficient Approach of Filtering for Noises on Images

机译:一种有效的图像噪声过滤方法

获取原文
获取原文并翻译 | 示例

摘要

Processing of an Image is done by computing algorithms and efficient program by applying various concepts on digital images. In digital image processing each pixel value of an image is related to some signal value. During processing of an Image there are some changes in actual value of signal due to devices, weather conditions, etc. These changes led to the noise in image which is somewhat signal distortion. There are numbers of algorithms available for identification and correction of signal distortion i.e change in pixel values or intensities. Each processing algorithms has its limitations. Wavelet transforms is one of good and efficient tool for denoising a noisy image. Removing of noises from images needs the proper way so there is reduction the strength of processing system in terms of time, money, system resources. By effective analysis of de-noising techniques and comparison using various filters an Image processing system is more efficient.
机译:通过在数字图像上应用各种概念,通过计算算法和高效程序来完成图像处理。在数字图像处理中,图像的每个像素值都与某个信号值相关。在处理图像的过程中,由于设备,天气状况等因素,信号的实际值会发生一些变化。这些变化导致图像中出现噪声,这在某种程度上是信号失真。有许多算法可用于识别和校正信号失真,即像素值或强度的变化。每种处理算法都有其局限性。小波变换是一种用于对噪点图像进行去噪的有效的工具。从图像中去除噪声需要正确的方法,因此在时间,金钱,系统资源方面降低了处理系统的强度。通过对降噪技术的有效分析和使用各种滤波器的比较,图像处理系统将更加高效。

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