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Statistical and Sparse Image Models

Our works in the Statistical and Sparse Image Models sub-group are combined under various categories:

(1) Non-convex Regularization Methods
(2) Sparse Distributions for Convolutional Sparse Coding
(3) Line Detection as an Inverse Problem
(4) Heavy-Tailed Image Models
(5) Compressive Imaging
(6) Image Fusion

Recent Posts

  • MyWorld: Visual Computing and Visual Communications Research Internships 2025 26th November 2024
  • VI labs summer BBQ – 19 July 2024 25th July 2024
  • IEEE PCS 2024 Learned Image and Video Coding: Hype or Hope 13th June 2024
  • Westminster Policy Forum 13th June 2024
  • MyWorld /VI-Lab Team awarded 1st prize in an international competition on visual quality assessment. 29th May 2024

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