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  • 标题:Performance Analysis of Non Local Means Algorithm for Denoising of Digital Images
  • 本地全文:下载
  • 作者:Deepak Raghuvanshi* Deepak Jain Pankaj Jain
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:1
  • 出版社:S.S. Mishra
  • 摘要:Digital images play an important role both in daily life applications such as satellite television, magnetic resonance imaging, computer tomography as well as in areas of research and technology such as geographical information systems and astronomy. Digi tal image processing remains a challenging domain of programming. All digital images contain some degree of noise. Often times this noise is introduced by the camera when a picture is taken. Image denoising algorithms attempt to remove this noise from the image. In this paper the method for image denoising based on the nonlocal means (NL-means) algorithm has been implemented and results have been developed using Matlab coding. The alg orithm, called nonlocal means (NLM), uses concept of Self -Similarity. The image that is taken from the internet has got aligned pixel than the image taken from digital media. Experimental results are given to demonstrate the superior denoising performance of the NL-means denoising technique over various image denoising methods
  • 关键词:Noise; Image denoising; Non-Local Means (NL-means) Algorithm; VHDL
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