Pregled bibliografske jedinice broj: 1140370
Local Gray World Method for Single Image Dehazing
Local Gray World Method for Single Image Dehazing // Computer Science & Information Technology
Beč, Austrija, 2020. str. 13-20 doi:10.5121/csit.2020.100202 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1140370 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Local Gray World Method for Single Image Dehazing
Autori
Stipetić, Vedran ; Lončarić, Sven
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Computer Science & Information Technology
/ - , 2020, 13-20
Skup
8th International Conference on Signal, Image Processing and Pattern Recognition
Mjesto i datum
Beč, Austrija, 21.03.2020. - 22.03.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
image restoration ; image dehazing
Sažetak
Images taken outdoors are often degraded by atmospheric conditions such as fog and haze. These degradations can reduce contrast, blur edges, and reduce saturation of images. In this paper we propose a new method for single image dehazing. The method is based on an idea from color constancy called the gray world assumption. This assumption states that the average values of each channel in a picture are the same. Using this assumption and a haze degradation model we can quickly and accurately estimate the haze thickness and recover a haze free image. The proposed method is validated on a synthetic and natural image dataset and compared to other methods. The experimental results have shown that the proposed method provides comparable results to other dehazing methods.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb