An Adaptive Contourlet HMM–PCNN Model of Sparse Representation for Image Denoising

An Adaptive Contourlet HMM–PCNN Model of Sparse Representation for Image Denoising

In this paper, we propose a novel model of sparse representation for image denoising that we call an adaptive contourlet hidden Markov model (HMM)-pulse-coupled neural network (PCNN). In this study, we first adopted a contourlet transform to decompose a noisy image to be some subband coefficients of...

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Bibliographic Details
Main Authors: Guoan Yang, Zhengzhi Lu, Junjie Yang, Yuhao Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Contourlet HMT model
HMM–PCNN model
image denoising
sparse representation
visual perception
Online Access:https://ieeexplore.ieee.org/document/8744583/

Internet

https://ieeexplore.ieee.org/document/8744583/

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