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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 9, SEPTEMBER 2016

Image Denoising using Non Local Algorithm

Tamanna Thakur, Sanjay Bhardwaj

DOI: 10.17148/IJARCCE.2016.5978

Abstract: The technology to denoise an affected Image commonly known as Image Denoising technique (IDT) is the most useful and impactful technique used for improvisation of graphics and its assets. Further added with Non-local mean method which is one of the peak performing method. It actually modifies each and every pixel by the mean pixels including nearby neighborhoods. The Non-Local Mean Method actually tests on different types of noised images and it has extremely useful results. The output represents that it decreases the noise and improve its Clarity and performance.



Keywords: Gaussian Noise, Image Denoising, Non-Local Means

How to Cite:

[1] Tamanna Thakur, Sanjay Bhardwaj, “Image Denoising using Non Local Algorithm,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.5978