首页    期刊浏览 2024年12月02日 星期一
登录注册

文章基本信息

  • 标题:A Survey on Image Noises and Denoise Techniques
  • 本地全文:下载
  • 作者:Toran Lal Sahu ; Deepty Dubey
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2012
  • 卷号:1
  • 期号:9
  • 页码:077-081
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Digital images are noisy due to environmental disturbances. To ensure image quality, image processing of noise reduction is a very important step before analysis or using images. Data sets collected by image sensors are generally contaminated by noise. Imperfect instruments, problems with the data acquisition process, and interfering natural phenomena can all degrade the data of interest. The importance of the image denoising could be a serious task for medical imaging, satellite and areal image processing, robot vision, industrial vision systems, micro vision systems, space exploring etc. The noise is characterized by its pattern and by its probabilistic characteristics. There is a wide variety of noise types while we focus on the most important types of noises and de noise filters been developed to reduce noise from corrupted images to enhance image quality.
  • 关键词:Image noise; Denoising; Median filter; Wiener ; Filter.
国家哲学社会科学文献中心版权所有