ARITM: A Perceptual Quality Magnification of Noise Suppressed Digital Images using Adaptive Recursion and Image Transformation Model-Reference-Cited by-同舟云学术

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ARITM: A Perceptual Quality Magnification of Noise Suppressed Digital Images using Adaptive Recursion and Image Transformation Model

Published:2023-12-14 Issue: Volume:10 Page:1-9
ISSN:
Container-title:2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
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Author:

Kannan K.¹,Divya G.²,Chithra L.³,Aruna V.⁴,Mohanavel V.⁵

Affiliation:

1. College of Engineering and Technology, Puduvoyal,Department of ECE,R.M.K.,Chennai

2. SRM Institute of Science and Technology, Kattankulathur,Faculty of Engineering and Technology,Department of Networking and Communications,Chennai,India

3. S.A.Engineering College,Department of ECE,Chennai

4. Panimalar Engineering College,Department of ECE,Chennai

5. Bharath Institute of Higher Education and Research,Centre for Materials Engineering and Regenerative Medicine,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10464384/10465267/10465568.pdf?arnumber=10465568

Reference15 articles.

1. On the Application of Robust Mean Shift Procedure for the Enhancement of Noisy Color Images

2. Convolutional micro-networks for MR-guided low-count PET image processing

3. Spatial Prediction Filtering of Acoustic Clutter and Random Noise in Medical Ultrasound Imaging

4. Hybrid framework for detection of human face based on haar-like feature

5. An Adaptive Synthetic Aperture Method Applied to Ultrasound Tissue Harmonic Imaging

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