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  • 标题:Mixed Noise Removal Filter for Gray Scale Images Based on Local Noise Density
  • 本地全文:下载
  • 作者:Se-Ik Kwon ; Jae-Sun Choi ; Nam-Ho Kim
  • 期刊名称:International Journal of Software Engineering and Its Applications
  • 印刷版ISSN:1738-9984
  • 出版年度:2016
  • 卷号:10
  • 期号:9
  • 页码:27-34
  • DOI:10.14257/ijseia.2016.10.9.04
  • 出版社:SERSC
  • 摘要:Digital image processing is used widely and in various fields, and noise occurs for various external reasons such as channel transmission error. Generally, mixed noise is the mixture of salt and pepper noise and Gaussian noise, and the existing methods have insufficient noise removal features due to the limitation of filters. So this paper proposed an algorithm to use noise density of a local mask in order to remove mixed noise effectively. The simulation results showed the proposed algorithm had greater noise removal functions and energy conservation features compared to existing methods.
  • 关键词:Mixed noise; Linear interpolation; PSNR
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