| Title |
Single Image Dehazing using Adaptive Saturation Stretching |
| Authors |
김세은(Kim Se Eun) ; 엄일규(Eom Il Kyu) |
| DOI |
https://doi.org/10.5573/ieie.2021.58.7.39 |
| Keywords |
haze removal; HSV color space; saturation; adaptive stretching function; delivery amount; atmospheric scattering model |
| Abstract |
A saturation-based image dehazing method is known to be fast and efficient because it determines the transmission map on the basis of pixel unit. However, because this dehazing algorithm exploits the fixed saturation stretching function, this method has a disadvantage in that it cannot adaptively apply on hazy images having various saturations. This paper presents an effective single image dehazing method using an adaptive saturation stretching function. First, we exploit the saturation in the HSV color space, which uses the maximum pixel value. The saturation of scene raidiance is estimated using an adaptive saturation stretching function according to the mean of saturation of hazy image. The proposed has the advantage of adaptive estimation of the saturation of scene radiance according to the amount of haze. The experimental results show that the proposed method outperforms the existing methods subjectively and objectively. |