Cong Thang Pham, Thi Thu Thao Tran, Hoai Phuong Dang, Van Ha Mai

A non–convex total generalized variation model for image denoising

  • Artificial Intelligence
  • Control and Optimization
  • Fluid Flow and Transfer Processes
  • Computer Vision and Pattern Recognition
  • Physics and Astronomy (miscellaneous)
  • Signal Processing
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We propose an effective regularization model based on second–order total generalized variation for image restoration with mixed Poisson–Gaussian noise. An efficient alternating minimization algorithm is employed to solve the considered model. Finally, provided numerical results show that our proposed model can preserve more details and get higher image visual quality than recent state-of-the-art methods.

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