Calls for Papers (special): International Journal of Swarm Intelligence Research (IJSIR)


Special Issue On: Real-Time Image Enhancement with Deep Neural Networks and Evolutionary Optimization Algorithms

Submission Due Date
10/1/2023

Guest Editors
Shoulin Yin
Harbin Institute of Technology, China
(yslin@hit.edu.cn)

Muhammad Shafiq
Guangzhou University, Pakistan
(mshafiq@ieee.org)


Introduction
Real-time images are often captured and processed without any buffer delays. Since most real-time images are captured from many sources, the quality of the image resolution may vary. However, due to recent advancements in image processing, there are various types of real-time image processing and enhancement techniques. Real-time image enhancement may lead to high computational overhead and delays in the transmission of the images, and to overcome these limitations, deep neural networks techniques (DNNs) and evolutionary optimization algorithms (EOAs) may be an asset moving forward. Deep neural networks (DNNs) is very popular due to big data support and automatically features selection, this will reduce the workload of scientists, and also CNN techniques will be used to increase accuracy as compared to machine learning methods. DNNs, like convolution neural networks (CNN), Deep adversarial network (DAN), long short-term memory (LSTM), autoencoder, and deep belief networks have been used to provide real-time image enhancement.
Using deep neural networks, various hidden layers present will capture important features of an image or a frame. When the image is captured on a real-time basis, it can be processed by deep neural networks more efficiently and effectively. However, there may be significant performance pressure on the processing and evaluation of real-time high resolution and multi-resolution images. This special issue provides an exemplary forum for researchers to discuss theories and ideas associated with real-time image enhancement using deep neural networks methods and evolutionary optimization algorithms. Also, this special issue discusses all the challenges and limitations of using deep neural networks models in real-time image processing.

Objective
This special issue aims to receive high-quality papers that extend the current state of the art with innovative ideas and solutions in the broad are of utilization of deep neural networks in real-time image processing. Contributions may present and solve open research problems, integrate efficient novel solutions, present performance evaluations, and compare new methods with existing solutions. Theoretical as well as experimental studies for typical and newly emerging convergence technologies and use cases enabled by recent advances are encouraged. High-quality review papers are also welcome

Recommended Topics
  • DNNs/EOAs-based real-time image enhancement techniques
  • Intelligent learning algorithms for real-time image reconstruction and enhancement
  • Real-time image security and privacy using DNNs/EOAs
  • Federated learning methodologies used in real-time image enhancement
  • Enhancement of real-time images in remote sensing applications using DNNs/EOAs techniques
  • Quality of Experience (QoE) and Quality of Service(QoS0 for real-time image processing
  • DNNs/EOAs pattern recognition in real-time images using DNNS/EOAs methods
  • Computational-based DNNs/EOAs models for detection of abnormalities in real-time captured images
  • New objective functions of DNNs/EOAs for real-time image reconstruction
  • Performance analysis of semantic segmentation of images using DNNs/EOAs algorithms
  • Limitations of DNNs/EOAs and hybrid models for real-time image processing


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Real-Time Image Enhancement with Deep Neural Networks and Evolutionary Optimization Algorithms on or before October 1st, 2023. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations. This is a full open access journal. Authors of manuscripts that are accepted to publish in this special issue will be expected to pay the article processing charge.

Open Access Resources:

All inquiries should be directed to the attention of:
Shoulin Yin
Guest Editor
International Journal Swarm Intelligence Research (IJSIR)
Email: yslin@hit.edu.cn

Muhammad Shafiq
Guest Editor
International Journal Swarm Intelligence Research (IJSIR)
Email: mshafiq@ieee.org
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