Removing Gaussian Image Noise Using Advanced Non-Local Means Filtering Techniques-Reference-Cited by-同舟云学术

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Removing Gaussian Image Noise Using Advanced Non-Local Means Filtering Techniques

Published:2023-10-27 Issue: Volume:7 Page:1-9
ISSN:
Container-title:2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS)
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Author:

Suresh A¹,Waris Saiyed Faiayaz²,Mohankumar B³,Arumuga Arun R³,Saravanan G.⁴

Affiliation:

1. Vellore Institute of Technology,School of Computer Science and Engineering,Department of Computational Intelligence,Vellore,India

2. Vignan’s Foundation for Science, Technology & Research, Vadlamudi,Department of Computer Science and Engineering,Guntur,Andhrapradesh

3. Vellore Institute of Technology,School of Computer Science and Engineering,Vellore,India

4. Veltech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology,Department of Computer Science and Engineering,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10525677/10525695/10525727.pdf?arnumber=10525727

Reference30 articles.

1. Efficient Weed Segmentation with Reduced Residual U-Net using Depth-wise Separable Convolution Network

2. Enhancement and detection of objects in underwater images using image super-resolution and effective object detection model

3. Wavelet based speckle reduction with application to SAR based ATD/R

4. Wavelet-based Rician noise removal for magnetic resonance imaging

5. Active Learning Assisted Admission and Bandwidth Management in HWN for Facilitating Differential QoS under Multicriteria Factors

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