Hybrid High-Order and Fractional-Order Total Variation with Nonlocal Regularization for Compressive Sensing Image Reconstruction
Total variation often yields staircase artifacts in the smooth region of the image reconstruction. This paper proposes a hybrid high-order and fractional-order total variation with nonlocal regularization algorithm. The nonlocal means regularization is introduced to describe image structural prior i...
Main Authors: | Lijia Hou, Yali Qin, Huan Zheng, Zemin Pan, Jicai Mei, Yingtian Hu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-01-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/10/2/150 |
Similar Items
-
Adaptive Weighted High Frequency Iterative Algorithm for Fractional-Order Total Variation with Nonlocal Regularization for Image Reconstruction
by: Hui Chen, et al.
Published: (2020-07-01) -
Nonlocal Low-Rank Regularization Combined with Bilateral Total Variation for Compressive Sensing Image Reconstruction
by: Kunhao Zhang, et al.
Published: (2021-02-01) -
Characterizations of completely ordered k-regular semirings
by: Pakorn Palakawong na Ayutthaya, et al.
Published: (2019-06-01) -
Characterizations of ordered $h$-regular semirings by ordered $h$-ideals
by: Rukhshanda Anjum, et al.
Published: (2020-07-01) -
An abstract nonlocal second order evolution problem
by: Ludwik Byszewski, et al.
Published: (2012-01-01)