A Denoising Scheme for Scanned Wood Grain Images via Adaptive Color Substitution

A Denoising Scheme for Scanned Wood Grain Images via Adaptive Color Substitution

Real-world image denoising is a challenging problem in low-level vision. In order to reduce the luminance noise on scanned wood grain images randomly generated by the Microtek Phantom 9900XL scanner, the images were classified and sorted according to the noise size. The proposed denoising scheme red...

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Bibliographic Details
Main Authors: Jingjing Mao, Zhihui Wu
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Forests
Subjects:
real-world image denoising
scanned wood grain images
RGB substitution
luminance noise
noise size
Online Access:https://www.mdpi.com/1999-4907/14/9/1803

Internet

https://www.mdpi.com/1999-4907/14/9/1803

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