Biologically inspired image processing challenges and future directions

Submission Deadline: 31 August 2019

IEEE Access invites manuscript submissions in the area of Biologically inspired image processing challenges and future directions.

Human beings are exposed to large amounts of data. According to statistics, more than 80% of the information received by humans comes from the visual system. Therefore, image information processing is not only an important research topic, but also a challenging task. The unique information processing mechanism of the human visual system makes it have fast, accurate and efficient image processing capability. At present, many advanced techniques of image analysis and processing have been widely used in image communication, geographic information system, medical image analysis and virtual reality. However, there is still a big gap between these technologies and the human visual system. Therefore, building an image system research mechanism based on the biological vision system is an attractive but difficult target. Although it is a challenge, it also can be considered as an opportunity which utilizes biologically inspired ideas. Meanwhile, through the integration of neural biology, biological perception mechanism, computer science and mathematical science, the related research can bridge biological vision and computer vision. Finally, the biologically inspired image analysis and processing system is expected to be built on the basis of further consideration of the learning mechanism of the human brain.

The goal of this Special Section in IEEE Access is to explore biological vision mechanisms and characteristics to establish an objective image-processing model and algorithm that is closer to the human visual information-processing model. This Special Section is encouraging advanced research related to biologically inspired image system study and to promote the synergetic development of biological vision and computer vision. Original research articles seeking all biologically inspired aspects of image analysis and processing techniques, including emerging trends and applications, theoretical studies, and experimental prototypes are welcome. The manuscripts should not be submitted simultaneously for publication elsewhere. Submissions of high quality manuscripts describing future potential or ongoing work are sought.

The topics of interest include, but are not limited to:

  • Biologically inspired novel color image enhancement techniques
  • Biologically inspired image/video feature modeling and extraction
  • Research on bio inspired virtual reality and human-computer interaction
  • Biologically inspired depth learning for unsupervised & semi-supervised learning
  • Biologically inspired big data analysis of image system
  • Biologically inspired multimedia quality evaluation
  • Biologically inspired target recognition technology in Real-time dynamic system
  • Biologically inspired image restoration Research and Application
  • Biologically inspired target detection and classification
  • Research and application of biologically inspired visual characteristics
  • Biologically inspired statistical learning model for image processing
  • Biologically inspired graph optimization algorithms and application

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Jiachen Yang, Tianjin University, China

Guest Editors:

  1. Qinggang Meng, Loughborough University, UK
  2. Maurizio Murroni, University of Cagliari, Italy
  3. Shiqi Wang, City University of Hong Kong, China
  4. Feng Shao, Ningbo University, China

Relevant IEEE Access Special Sections:

  1. Visual Surveillance and Biometrics: Practices, Challenges, and Possibilities
  2. Recent Advantages of Computer Vision based on Chinese Conference on Computer Vision (CCCV) 2017
  3. New Trends in Brain Signal Processing and Analysis

IEEE Access Editor-in-Chief:
Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:

For inquiries regarding this Special Section, please contact: