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Call for papers for upcoming Special Issues

Deep Learning for Real-Time Image Enhancement-Call for papers (PDF)

Topics include, but are not limited to:

  • Deep learning-based real-time image enhancement techniques
  • Intelligent learning algorithms for real-time image reconstruction and enhancement
  • Real-time image security and privacy using deep learning
  • Federated learning methodologies used in real-time image enhancement
  • Enhancement of real-time images in remote sensing applications using deep learning techniques
  • Deep learning pattern recognition in real-time image processing and enhancement
  • Evaluation of enhanced real-time images using deep learning methods
  • Computational-based deep learning models for detection of abnormalities in real-time captured images
  • New objective functions of deep learning for real-time image reconstruction
  • Performance analysis of semantic segmentation of images using deep learning algorithms
  • Limitations of deep learning and hybrid models for realtime image processing

Crowd Understanding and Analysis-Call for papers (PDF)

Submission portal now open!

Topics include, but are not limited to:

  • Counting or density estimation
  • Localisation
  • Segmentation
  • Anomaly detection
  • Human behavior recognition
  • Person group detection
  • Pedestrian tracking in congest crowds
  • Pedestrian trajectory prediction
  • Crowd simulation
  • Interaction analysis in crowds
  • Pedestrian pattern recognition
  • Data set for crowds

Previously published Special Issues

2020

Special Section: Deep Learning for 3D Reconstruction

Vol. 14, Issue 7

2019

Adversarial Learning in Image Processing

Vol. 13, Issue 14

Hyperspectral Imaging and Applications

Vol. 13, Issue 2

2017

Advances in Big Data Methods for Image Processing

Vol. 11, Issue 10

2015

Machine Learning in Image Processing

Vol. 9, Issue 11

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