Ke Gu

ORCID: 0000-0003-3726-0036
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About
Contact & Profiles
Research Areas
  • Image and Video Quality Assessment
  • Robotic Path Planning Algorithms
  • Visual Attention and Saliency Detection
  • Robotics and Sensor-Based Localization
  • Image Enhancement Techniques
  • Robotics and Automated Systems
  • Advanced Image Processing Techniques
  • Visual perception and processing mechanisms

Beijing University of Technology
2018-2022

Depth-Image-Based-Rendering (DIBR) techniques are significant for three-dimensional (3D) video applications, e.g., 3D television and free viewpoint (FVV). Unfortunately, the DIBR-synthesized image suffers from various distortions, which induce an annoying viewing experience entire FVV. Proposing a quality evaluator images is fundamental design of perceptual friendly FVV systems. Since associated reference usually not accessible, full-reference (FR) methods cannot be directly applied...

10.1109/tip.2018.2875913 article EN IEEE Transactions on Image Processing 2018-10-16
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