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Coupled Variational Image Decomposition and Restoration Model for Blurred Cartoon-Plus-Texture Images With Missing Pixels
TLDR
In this paper, we develop a decomposition model to restore blurred images with missing pixels. Expand
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Evaluation of PARASOL aerosol retrieval over North East Asia
Abstract The third POLDER (POLarization and Directionality of the Earth Reflectance) instrument, PARASOL (Polarization & Anisotropy of Reflectances for Atmospheric Sciences coupled with ObservationsExpand
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A new alternating direction method for co-coercive variational inequality problems
TLDR
This paper presents a new alternating direction method for solving co-coercive variational inequality problems, where the feasible set is the intersection of a simple set and polyhedron defined by a system of linear equations. Expand
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A customized proximal point algorithm for convex minimization with linear constraints
TLDR
This paper demonstrates a customized application of the classical proximal point algorithm (PPA) to the convex minimization problem with linear constraints. Expand
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Patterned Fabric Inspection and Visualization by the Method of Image Decomposition
TLDR
In this paper, we propose a novel ID method for patterned fabric inspection which can efficiently pinpoint the locations of defective objects inpatterned fabric images with sharp edges. Expand
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A self-adaptive projection method for solving the multiple-sets split feasibility problem
The multiple-sets split feasibility problem, a generalization and extension of the split feasibility problem, has a variety of specific applications in real world, such as medical care, imageExpand
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A Partial Splitting Augmented Lagrangian Method for Low Patch-Rank Image Decomposition
TLDR
We develop an alternating direction method of multipliers (ADMM) based prediction–correction method for solving the low patch-rank model with all resulting subproblems admitting closed-form solutions. Expand
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An augmented Lagrangian based parallel splitting method for separable convex minimization with applications to image processing
TLDR
This paper considers the convex minimization problem with linear constraints and a separable objective function which is the sum of many individual functions without coupled variables. Expand
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A sequential updating scheme of the Lagrange multiplier for separable convex programming
TLDR
We consider the separable case of a convex minimization problem where its objective function is the sum of more than two functions without coupled variables. Expand
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A New Method for Mapping Aquatic Vegetation Especially Underwater Vegetation in Lake Ulansuhai Using GF-1 Satellite Data
TLDR
We propose a new concave–convex decision function to detect submerged aquatic vegetation (SAV) and identify bodies of water using Gao Fen 1 multi-spectral satellite images with a resolution of 16 meters acquired in July and August 2015. Expand
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