gradient constraint
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Low-light Image Enhancement Based on Joint Convolutional Sparse Representation and Adaptive Gradient Constraint

2021 ◽  
Author(s):  
Ying Xue ◽  
Pucheng Zhou ◽  
Jie Zhang ◽  
Jiong Zhao
Keyword(s):  
Sparse Representation ◽  
Image Enhancement ◽  
Low Light ◽  
Light Image ◽  
Gradient Constraint

Sequential Joint inversion of gravity and magnetic data via the cross gradient constraint

2021 ◽  
Author(s):  
M. Tavakoli ◽  
A. Nejati Kalateh ◽  
M. Rezaie ◽  
L. Gross ◽  
M. Fedi
Keyword(s):  
Joint Inversion ◽  
Magnetic Data ◽  
Gradient Constraint ◽  
Gravity And Magnetic ◽  
The Cross ◽  
Gravity And Magnetic Data

Gradient-constraint Super-resolution Reconstruction Method Serving for Infrared Target Detection

2021 ◽  
pp. 1-1
Author(s):  
Tao Sun ◽  
Zhengqiang Xiong ◽  
Zhengxing Wang ◽  
Jie Yin ◽  
Yuhao Wu
Keyword(s):  
Target Detection ◽  
Super Resolution ◽  
Reconstruction Method ◽  
Gradient Constraint

scholarly journals Equivalence of Viscosity Solutions between Obstacle and Gradient Constraint Problems

2020 ◽  
Vol 63 (3) ◽  
pp. 323-343
Author(s):  
Takahiro Kosugi
Keyword(s):  
Viscosity Solutions ◽  
Gradient Constraint

scholarly journals Some class of nonlinear inequalities with gradient constraints in Orlicz spaces

2020 ◽  
Vol 6 (2) ◽  
pp. 281-302
Author(s):  
S. Ajagjal ◽  
D. Meskine
Keyword(s):  
Existence Of Solutions ◽  
Orlicz Spaces ◽  
Gradient Constraint ◽  
Gradient Constraints

AbstractIn the present paper, we show the existence of solutions of some nonlinear inequalities of the form 〈Au + g(x, u,∇ u), v −u〉 ≥〈 f, v −u〉 with gradient constraint that depend on the solution itself, where A is a Leray-Lions operator defined on Orlicz spaces, g is a nonlinearity and f ∈ L1.

Local low-rank matrix recovery for hyperspectral image denoising with ℓ0 gradient constraint

2020 ◽  
Vol 135 ◽  
pp. 167-172
Author(s):  
Yanhong Yang ◽  
Jianwei Zheng ◽  
Shengyong Chen
Keyword(s):  
Image Denoising ◽  
Hyperspectral Image ◽  
Low Rank ◽  
Matrix Recovery ◽  
Gradient Constraint ◽  
Rank Matrix ◽  
Low Rank Matrix Recovery ◽  
Low Rank Matrix

scholarly journals A regularized magnetotelluric inversion with a minimum support gradient constraint

2020 ◽  
Vol 33 (3) ◽  
pp. 130-140
Author(s):  
Junjun Zhou ◽  
◽  
Xiangyun Hu ◽  
Tiaojie Xiao ◽  
Keyword(s):  
Minimum Support ◽  
Gradient Constraint ◽  
Magnetotelluric Inversion
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