Blind deconvolution using shearlettv regularization

Mousavi Z., Mokhtari R., Lakestanı M.

Turkish World Mathematical Society Journal of Applied and Engineering Mathematics, cilt.9, sa.3, ss.525-534, 2019 (Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 9 Sayı: 3
  • Basım Tarihi: 2019
  • Dergi Adı: Turkish World Mathematical Society Journal of Applied and Engineering Mathematics
  • Derginin Tarandığı İndeksler: Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.525-534
  • Anahtar Kelimeler: blind deconvolution, Fast ADMM, Image processing, shearlet, total variation
  • Van Yüzüncü Yıl Üniversitesi Adresli: Evet

Özet

In this article we propose two minimization models for blind deconvolution. In the first model, we use shearlet transform as a regularization term for recovering image. Also total variation method is used as a regularization term for point spread function(PSF). To speed up the process, Fast ADMM approach is exploited. In the second model, shearlet transform is utilized as a regularization term for both image and PSF.