Subband Adaptive Image Deblocking Using Wavelet Based Convolutional Neural Networks

Subband Adaptive Image Deblocking Using Wavelet Based Convolutional Neural Networks

In this paper, we propose subband adaptive image deblocking using wavelet based convolutional neural networks (CNNs). We build wavelet based CNNs for image deblocking to achieve subband adaptive reconstruction. First, we perform subband adaptive processing after the discrete wavelet transform (DWT)...

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Bibliographic Details
Main Authors: Zhanyuan Qi, Cheolkon Jung, Binghua Xie
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Image deblocking
compression
convolutional neural network
wavelet
subband adaptive
Online Access:https://ieeexplore.ieee.org/document/9404176/

Internet

https://ieeexplore.ieee.org/document/9404176/

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