Wiśniewski, Remigiusz - ed. ; Gomes, Luis - ed. ; Wan, Shaohua - ed.
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.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 32, number 3 (2022) ; click here to follow the link
Biblioteka Uniwersytetu Zielonogórskiego
Jul 23, 2025
Jul 23, 2025
7
https://zbc.uz.zgora.pl/publication/101491
| Edition name | Date |
|---|---|
| A single image deblurring approach based on a fractional order dark channel prior | Jul 23, 2025 |