Multi-Stage Image Restoration in High Noise and Blur Settings


  •  Sergey Voronin    

Abstract

We describe a simple approach useful for improving noisy, blurred images. Our approach is based on the use of a parallel block-based low rank factorization technique for projection based reduction of matrix dimensions and on a customized iteratively reweighted CG approach followed by the use of a Fourier Wiener filter. The regularization scheme with a transform basis offers variable residual penalty and increased per-iteration performance. The outlined approach is particularly aimed at high blur and noise settings.



This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1913-8989
  • ISSN(Online): 1913-8997
  • Started: 2008
  • Frequency: quarterly

Journal Metrics

WJCI (2020): 0.439

Impact Factor 2020 (by WJCI): 0.247

Google Scholar Citations (March 2022): 6907

Google-based Impact Factor (2021): 0.68

h-index (December 2021): 37

i10-index (December 2021): 172

(Click Here to Learn More)

Contact