Pregled bibliografske jedinice broj: 1215787
Variational Formulation of Dark Channel Prior for Single Image Dehazing
Variational Formulation of Dark Channel Prior for Single Image Dehazing // Journal of mathematical imaging and vision, 64 (2022), 8; 845, 854 doi:10.1007/s10851-022-01096-w (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1215787 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Variational Formulation of Dark Channel Prior for
Single Image Dehazing
Autori
Stipetić, Vedran ; Lončarić, Sven
Izvornik
Journal of mathematical imaging and vision (0924-9907) 64
(2022), 8;
845, 854
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
image restoration ; image dehazing ; variational methods
Sažetak
In this paper, we analyze the single image dehazing problem and propose a new variational method to solve it based on the dark channel prior. In the analysis section, we determine the influence that error in estimation of parameters of the haze degradation model has on the reconstructed image and give conclusions that can be used in designing a dehazing method. After that, we use those conclusions to bias our variational method as well as create a smooth variant of the dark channel prior, so it can be directly used in variational methods as well as potentially deep learning methods. We compare the proposed method quantitatively on a synthetic hazy image dataset as well as qualitatively on real-life hazy images.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
