Multi-Scale Based Approach for Denoising Real-World Noisy Image Using Curvelet Thresholding: Scope and Beyond

Multi-Scale Based Approach for Denoising Real-World Noisy Image Using Curvelet Thresholding: Scope and Beyond

Na<inline-formula> <tex-math notation="LaTeX">$\ddot {i}$ </tex-math></inline-formula>ve simulated additive white Gaussian noise (AWGN) may not fully characterize the complexity of real world noisy images. Owing to optimal sparsity in image representation, we propos...

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Bibliographic Details
Main Authors: Susant Kumar Panigrahi, Santosh Kumar Tripathy, Anirban Bhowmick, Santosh Kumar Satapathy, Paolo Barsocchi, Akash Kumar Bhoi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Curvelet thresholding
deep Curvelet-Net
GIF
AWGN
skip-connection
Online Access:https://ieeexplore.ieee.org/document/10430182/

Internet

https://ieeexplore.ieee.org/document/10430182/

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