Frontiers in Imaging is a multidisciplinary journal that focuses on various aspects of imaging technology, ranging from image acquisition and coding to analysis, interpretation, and retrieval.

Led by Field Chief Editor Jinchang Ren from Robert Gordon University, Frontiers in Imaging welcomes research contributions across diverse domains of imaging science, which bridge the gap between fundamental methods and novel applications. Topics include, but are not limited to:

3D imaging
adaptive image processing
bio-imaging
color perception and color image processing
compressive sensing
computer vision and machine vision
computational imaging
content-based image and video retrieval
deep learning for image analysis and processing
denoising and image enhancement
digital and computational photography
emerging imaging applications including astronomy, medicine, agriculture, and industry
image acquisition, display, visualization, and print
image and video coding, compression, communication, and storage
image and video processing and analysis
image and video quality evaluation
image and video restoration and archive restoration
image and video security
image classification and recognition
image super-resolution
imaging in robotics and navigation
image segmentation
light field and integral imaging
low-level vision
medical and biomedical imaging
neuroimaging
spectral and hyperspectral imaging
underwater imaging, e.g. sonar

The journal aligns with the Sustainable Development Goal (SDG) 9: Industry, Innovation, and Infrastructure. By promoting advancements in imaging science and technology, Frontiers in Imaging contributes to sustainable infrastructure development and innovation in industry and healthcare.

Manuscripts that do not have novel contributions in imaging science and related image analysis are not suitable for publication in this journal.

Frontiers in Imaging Journal is dedicated to advancing developments in the field of imaging science by allowing unrestricted access to articles and communicating scientific knowledge to researchers and the public alike, facilitating scientific breakthroughs for the future.

research topics

Scene-Dependent Image Quality and Visual Assessment