Massive High-Dimensional Image Processing: Perception, Compression and Quality Assessment

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 15 December 2026 | Viewed by 3

Special Issue Editors

School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Interests: computer vision; image super-resolution; image demoireing

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Guest Editor
School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Interests: computer vision; multimedia computing; video understanding

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Guest Editor
School of Control Science and Engineering, Shandong University, Jinan 250061, China
Interests: embodied AI; computer vision; robotics

Special Issue Information

Dear Colleagues,

Driven by the rapid advancement of sensing devices and intelligent vision systems, massive high-dimensional images, including hyperspectral, multi-view, and high-resolution multimedia data, have been widely adopted in remote sensing, medical diagnosis, industrial inspection, and immersive media. Nevertheless, the ultra-high data volume, complex spatial–spectral correlations, and diversified distortion types pose great obstacles to efficient storage, low-latency transmission, and reliable visual perception. Advanced processing technologies are urgently required to achieve effective feature mining, compact data representation, and accurate quality evaluation for high-dimensional visual data.

This Special Issue, entitled “Massive High-Dimensional Image Processing: Perception, Compression and Quality Assessment”, aims to gather cutting-edge research addressing key bottlenecks in this field. It focuses on three core research directions: high-dimensional visual perception and intelligent understanding, efficient image compression, and objective and subjective image quality assessment.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • High-dimensional image generation
  • Image enhancement and restoration
  • Super-resolution
  • Visual perception
  • Image compression
  • Image segmentation
  • Image quality assessment
  • UAV imaging and applications
  • Vision-based industrial applications
  • Intelligent image processing

Dr. Xi Cheng
Prof. Dr. Tianshan Liu
Prof. Dr. Cong Zhang
Guest Editors

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Keywords

  • high-dimensional image generation
  • image enhancement and restoration
  • visual perception
  • image compression
  • image segmentation
  • image quality assessment
  • UAV imaging and applications
  • vision-based industrial applications

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