Deep Region Adaptive Denoising for Texture Enhancement

Deep Region Adaptive Denoising for Texture Enhancement

Image denoising is a highly challenging problem yet important task in image processing. Recently, many CNN-based denoising methods have made great performances but they commonly denoise blindly texture and non-texture regions together. This frequently leads to excessive texture smoothing and detail...

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Bibliographic Details
Main Authors: Seong-Eui Lee, Sung-Min Woo, Jong-Han Kim, Je-Ho Ryu, Jong-Ok Kim
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Region adaptive image denoising
convolution neural network
texture classification
cross attention
texture enhancement
Online Access:https://ieeexplore.ieee.org/document/9953985/

Internet

https://ieeexplore.ieee.org/document/9953985/

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