Mathematical Problems in Engineering

Machine Learning and its Applications in Image Restoration


Publishing date
01 Mar 2021
Status
Closed
Submission deadline
23 Oct 2020

Lead Editor

1Guangxi University, Nanning, China

2Nanjing University of Information Science and Technology, Nanjing, China

3Colorado State University, Fort Collins, USA

4Changsha University of Science and Technology, Changsha, China

5Guilin University of Electronic Technology, Guilin, China

This issue is now closed for submissions.
More articles will be published in the near future.

Machine Learning and its Applications in Image Restoration

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Machine learning is a new topic of increasing interest in scientific research, involving many practical engineering applications besides mathematical analysis of algorithms. It is known that many common optimisation problems exist in machine learning, such as algorithm choices, and model solutions. Although there have been notable achievements in the fields of machine learning and optimisation, many challenging problems remain, such as large-scale optimisation problems, fast algorithms for machine learning, and applications of machine learning to image denoising, which is a hard-to-solve inverse problem.

Images are often corrupted by impulse noise, one of the most common types of noise. Impulse noise has a short duration but degrades the quality of images. Impulse noise has two common types: salt-and-pepper noise and random-valued noise. There exist many established methods to remove impulse noise while preserving the integrity of edges and image details. Among these methods, two have attracted intensive attention from researchers. One is the median filter method (along with some important variants) – this method restores the noise pixels poorly when the noise ratio is high, and the recovered image may lose its details and be distorted. The other method is the variational approach, which may change the grey level of every pixel, including the uncorrupted ones.

The aim of this Special Issue is to encourage contributions of original research articles as well as review articles on new developments in machine learning, novel optimisation algorithms, and their applications to image restoration.

Potential topics include but are not limited to the following:

  • Machine learning, cloud computing, and their applications in image restoration
  • Large-scale deep model, black box machine learning algorithms
  • Nonlinear eigenvalue problems, tensor analysis, and their applications in compressive sensing
  • Nonlinear analysis for image restoration and machine learning
  • Training data, data analysis, and complexity in machine learning

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 8342536
  • - Research Article

The Global Convergence of a Modified BFGS Method under Inexact Line Search for Nonconvex Functions

Pengyuan Li | Junyu Lu | Haishan Feng
  • Special Issue
  • - Volume 2021
  • - Article ID 6655455
  • - Research Article

A Quantum Approximate Optimization Algorithm with Metalearning for MaxCut Problem and Its Simulation via TensorFlow Quantum

Haibin Wang | Jiaojiao Zhao | ... | Lian Tong
  • Special Issue
  • - Volume 2021
  • - Article ID 6683240
  • - Research Article

Dynamic Incentive Mechanism of Multitask Cooperation in Logistics Supply Chain

Song Wang | Yang Zhao | ... | Fuhua Huang
  • Special Issue
  • - Volume 2021
  • - Article ID 8826593
  • - Research Article

Detecting Small Chinese Traffic Signs via Improved YOLOv3 Method

Baojun Zhang | Guili Wang | ... | Lin Xu
  • Special Issue
  • - Volume 2021
  • - Article ID 6672060
  • - Research Article

Will Intellectual Property Rights Policy Increase Foreign Direct Investment and Promote Technological Innovation?

Debao Hu | Zhengkai Liu | Jing Zhao
  • Special Issue
  • - Volume 2021
  • - Article ID 8867309
  • - Research Article

A Three-Term Gradient Descent Method with Subspace Techniques

Shengwei Yao | Yuping Wu | ... | Jieqiong Xu
  • Special Issue
  • - Volume 2021
  • - Article ID 6671613
  • - Review Article

Quantum Image Processing: Opportunities and Challenges

Yue Ruan | Xiling Xue | Yuanxia Shen
  • Special Issue
  • - Volume 2020
  • - Article ID 8882995
  • - Research Article

3D Face Image Inpainting with Generative Adversarial Nets

Tongxin Wei | Qingbao Li | ... | Zhifeng Chen
  • Special Issue
  • - Volume 2020
  • - Article ID 8866257
  • - Research Article

Perceptron Ranking Using Interval Labels with Ramp Loss for Online Ordinal Regression

Cuiqing Zhang | Maojun Zhang | ... | Jiangxia Nan
  • Special Issue
  • - Volume 2020
  • - Article ID 8864672
  • - Research Article

Return Decision Model of the Manufacturer-Leading Dual-Channel Supply Chain

Xuelong Zhang | Hui Wang | ... | Doudou Wu
Mathematical Problems in Engineering
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