An Enhanced High-Order Variational Model Based on Speckle Noise Removal With <inline-formula> <tex-math notation="LaTeX">$G^0$ </tex-math></inline-formula> Distribution

An Enhanced High-Order Variational Model Based on Speckle Noise Removal With <inline-formula> <tex-math notation="LaTeX">$G^0$ </tex-math></inline-formula> Distribution

Speckle noise removal problem has been researched under the framework of regularization-based approaches. The regularizer is normally defined as total variation (TV) that induces staircase effect. Although higher-order regularizer can conquer the staircase effect to some extent, it often leads to bl...

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Bibliographic Details
Main Authors: Yunping Mu, Baoxiang Huang, Zhenkuan Pan, Huan Yang, Guojia Hou, Jinming Duan
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Speckle noise
synthetic aperture radar (SAR)
Gº distribution
total variation(TV)
total curvature(TC)
boundary detection function
Online Access:https://ieeexplore.ieee.org/document/8778646/

Internet

https://ieeexplore.ieee.org/document/8778646/

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