Submission Instructions

Manuscript Due

Sept. 30, 2014 (closed)


Computational models of the human visual system play an instrumental role in the design and operation of numerous image and video processing algorithms. Such vision models have been crucial for providing algorithms both the ability to take into account key properties of visual perception, and the ability to take advantage of the biological processing strategies which underlie the perceptual and cognitive processes used for visual analysis. Recent advances in the use of higher-level models of visual masking; models of temporal masking and motion perception; saliency-based models; appearance models; multiple/hybrid models; 3D models; and other visual-feature-based models have underscored not only the importance of vision modeling, but also the need for further research in this area.

The objective of this special issue is to bring together research which promotes a better understanding of the use of vision models for image/video/multimedia applications (analysis, processing, coding, quality assessment, etc.). We invite original research articles which propose new vision models, alternative theories and techniques for applying existing models, and/or new studies in visual perception.

Topics of interest include:
  • Vision models for image/video/multimedia analysis/processing
  • Vision models for image/video/multimedia quality assessment
  • Psychophysical/psychophysiological studies of visual quality perception
  • New IQA/VQA databases and associated analyses
  • Models of spatial/spatiotemporal masking and applications
  • Models of visual saliency and applications
  • Visual appearance models and applications
  • Models of depth perception and applications
  • Hybrid and adaptive vision models and applications
  • Higher-level visual-feature-based models and applications
  • Relations between neural coding and statistical properties of images/videos

Guest Editors

  • Damon Chandler, Oklahoma State University, Stillwater, OK, USA,
  • Ulrich Engelke Commonwealth Scientific and Industrial Research Organization, Hobart, Australia,
  • Yuukou Horita University of Toyama, Toyama, Japan,
  • Kalpana Seshadrinathan Intel Labs, Santa Clara, CA, USA,
Signal Processing: Image Communication