Images captured in foggy weather are often degraded due to atmospheric particles scatter. Concerning this issue

we present a new haze removal method from a single image based on bilateral filtering. This algorithm is based on the atmosphere scattering model. First

the accurate atmospheric veil is obtained by taking full use of the properties that bilateral filtering is available to preserve edges smoothly. Then

concerning the distortion of the bright portion

a weakening defogging strength method is proposed. Finally

the haze-free image is recovered by transforming the atmosphere scattering model. Many experiments show that images restored by this algorithm are clear and natural

especially at the portion for distant scene and for abrupt depth changes. In addition

the time complexity is only a linear function of the input image pixels. Concerning degraded images captured in fog or haze weather

a new haze removal method from single image is proposed based on the atmosphere scattering model and the bilateral filter. Experiments show the algorithm can get an excellent performance for fog elimination

particularly better than Tarel's defogging algorithm in details. At the same time

compared with the defogging algorithm proposed by He Kaiming

it has a clear advantage for run time consideration

which is important to achieve real-time applicaiton.