- Tytuł:
- A single image deblurring approach based on a fractional order dark channel prior
- Autorzy:
-
Yu, Xiaoyuan
Xie, Wei
Yu, Jinwei - Powiązania:
- https://bibliotekanauki.pl/articles/2172119.pdf
- Data publikacji:
- 2022
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
blind image deblurring
fractional order dark channel prior
nonconvex problem
obraz rozmyty
rząd ułamkowy
problem niewypukły - Opis:
- The dark channel prior has been successfully applied to solve the blind deblurring problem on different scene images. Since the dark channel of the blurry-noise image is similar to that of the corresponding clear image, the sparsity of the dark channel is less effective for image blind deblurring. Inspired by the fact that a fractional order calculation can inhibit the noise and preserve the texture information of the image, a fractional order dark channel prior is proposed for image deblurring in this paper. It is appropriate for kernel estimation where input images and intermediate images are processed by using a fractional order dark channel prior. Furthermore, the non-convex problem is solved by the half-quadratic splitting method, and some metrics are used for deblurring image quality assessment. Finally, quantitative and qualitative experimental results show that the proposed method achieves state-of-the-art results on synthetic and real blurry images.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2022, 32, 3; 441--454
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł