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Article
Truncated loss-based Res2Net for non-Gaussian noise removal
Many current image denoising works focus on Gaussian noise removal. However, in many real-life applications, the noise in an image can follow non-Gaussian distributions, such as compressed speckle noise, salt-...
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Article
Re-initialization-Free Level Set Method via Molecular Beam Epitaxy Equation Regularization for Image Segmentation
Variational level set method has become a powerful tool in image segmentation due to its ability to handle complex topological changes and maintain continuity and smoothness in the process of evolution. Howeve...
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Article
A Diffusion Equation for Improving the Robustness of Deep Learning Speckle Removal Model
Speckle removal aims to smooth noise while preserving image boundaries and texture information. In recent years, speckle removal models based on deep learning methods have attracted a lot of attention. However...
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Article
Non-Gaussian Noise Removal via Gaussian Denoisers with the Gray Level Indicator
This paper focuses on the problem of image restoration under non-Gaussian noise. Various gray level indicators have been proposed as effective tools for removing different types of non-Gaussian noise in the di...
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Article
A Ginzburg-Landau- \({H}^{-1}\) Model and Its SAV Algorithm for Image Inpainting
Image inpainting models and the corresponding numerical algorithms play key roles in image processing. At present, the visual output of the oscillatory inpainting area is usually not natural. In this paper, we...
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Article
Nonlocal Adaptive Biharmonic Regularizer for Image Restoration
In this paper, we propose a nonlocal adaptive biharmonic regularization term for image restoration, combining the advantages of fourth-order models (preserving slopes) and nonlocal methods (preserving textures...
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Chapter and Conference Paper
Research on Neural Network Defense Problem Based on Random Noise Injection
Because neural network is a data-driven black box model, people cannot directly understand its decision basis, and once the neural network is constructed with adversarial samples, it can lead to wrong conclusi...
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Chapter and Conference Paper
Research on Video Pedestrian Tracking Based on the Combination of Optical Flow Method and Target Tracking Network
Target tracking is designed to predict the position of a given target in each video frame, and it has a wide range of applications in the fields of robot vision, video surveillance, and unmanned driving. This ...
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Article
A novel low-light enhancement via fractional-order and low-rank regularized retinex model
Most of existing low-light image enhancement approaches either fail to consider fine parts of the image or fail to consider intensive noise. To overcome these drawbacks, this paper proposes a new model called ...
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Article
Fractional-order diffusion model for multiplicative noise removal in texture-rich images and its fast explicit diffusion solving
In this paper, we propose a fractional-order anisotropic diffusion model based on fractional Fick’s law for multiplicative noise removal in texture-rich images. A fast explicit diffusion solving algorithm is c...
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Article
Image Multiplicative Denoising Using Adaptive Euler’s Elastica as the Regularization
Variational models involving Euler’s elastica energy have been widely used in many fields of digital image processing, such as image inpainting and additive Gaussian noise removal. In this paper, according to ...
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Article
A Total Fractional-Order Variation Model for Image Super-Resolution and Its SAV Algorithm
Single-image super-resolution reconstruction aims to obtain a high-resolution image from a low-resolution image. Since the super-resolution problem is ill-posed, it is common to use a regularization technique....
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Chapter and Conference Paper
PBFT Consensus Performance Optimization Method for Fusing C4.5 Decision Tree in Blockchain
Data management methods using blockchain have the advantages of being traceable and not easy to tamper. Therefore, blockchain is widely used in supply chain finance, credit reporting and other fields. However,...
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Article
Multiplicative Noise Removal Based on the Smooth Diffusion Equation
The multiplicative noise removal problem is of momentous significance in various image processing applications. In this paper, a nonlinear diffusion equation with smooth solution is proposed to remove multipli...
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Article
Open AccessPeriodic boundary value problems for two classes of nonlinear fractional differential equations
By using the coincidence degree theorem, we obtain a new result on the existence of solutions for a class of fractional differential equations with periodic boundary value conditions, where a certain nonlinear...
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Article
A Nonlinear Diffusion Equation-Based Model for Ultrasound Speckle Noise Removal
Ultrasound images are contaminated by speckle noise, which brings difficulties in further image analysis and clinical diagnosis. In this paper, we address this problem in the view of nonlinear diffusion equati...
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Article
Salt-and-Pepper Noise Removal via Local Hölder Seminorm and Nonlocal Operator for Natural and Texture Image
Utilizing local Hölder seminorm and nonlocal operator, we propose two efficient salt-and-pepper noise removal algorithms in this paper. We first minimize a local Hölder seminorm based functional which has a gr...
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Article
Open AccessA new model for segmentation of gray-scale and color images
In this paper, we propose a new model for segmentation of both gray-scale and color images. This model is inspired by the GAC model, the region-scalable fitting model, the weighted bounded variation model and ...
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Article
Open AccessIntercomparison and analyses of the climatology of the West African Monsoon in the West African Monsoon Modeling and Evaluation project (WAMME) first model intercomparison experiment
This paper briefly presents the West African Monsoon (WAM) Modeling and Evaluation Project (WAMME) and evaluates WAMME general circulation models’ (GCM) performances in simulating variability of WAM precipitat...
