The Journal of Electronic Imaging (JEI), copublished with IS&T, publishes papers in all technology areas that make up the field of electronic imaging and are normally considered in the design, engineering, and applications of electronic imaging systems.

Contributed papers cover the following research areas that apply directly to electronic imaging or focus on applied electronic imaging technology:

• Adaptive image processing
• AI algorithms
  • deep learning processing
  • machine learning
• Computational imaging
• Electronic imaging applications
  • face and gesture recognition
  • virtual and augmented reality
  • remote sensing
  • biometrics
  • biomedical
  • industrial
  • material inspection
  • under water imaging
• Explainability of deep learning methods
• Fractal graphics energy efficiency
• HDR imaging
• Human vision based computational models
• Image acquisition, display, and print
• Image and video data communication and storage
• Image and video processing and analysis
  • image and video compression
  • image and video quality estimation
  • image and video restoration
  • image classification and clustering
  • image segmentation
  • noise reduction, denoising algorithms
  • super resolution
  • pattern analysis and recognition
• Image data hiding
• Image forensics
• Image fusion
• Image steganography
• Image visualization
• Image watermarking
• Information hiding, steganography
• Irregular pyramids
• Mathematical morphology
• Multimedia and imaging security
• Multimedia and multimodal analysis
• Multimodal analysis
• Multispectral and hyperspectral imaging
• Nonlinear image processing
• Optical data processing
• Perceptual and cognitive issues in imaging
• Point cloud processing, visualization, and analysis
• Polarimetric imaging
• Sensor networks
• Spectral imaging
• Stereoscopic, multiview, and 3D imaging
• Stochastic geometry
• Topological issues
• Virtual and augmented reality

Due to the large number of submissions received by JEI, senior and associate editors prescreen all manuscripts for required basic criteria. Paper that fail to meet these criteria will be rejected without review:

• Out of scope: In particular, papers that are about data processing, but not related to images or advances in imaging, will be rejected.
• Poor structure, methodology, and presentation: Examples include poor paper structure, low-quality figures, lack of comparisons with SotA, excessive self-citation, and unsound methodology.
• Poor validation: Examples include poor quality or obscure datasets and marginal comparison of performance.