Huge quantities of suspended particles in our atmosphere, cause scenes to appear hazy or foggy, this reduces visibility of objects and their contrast, and makes detection of objects within the scene more difficult. Most existing algorithms are based on a strong, statistically based prior, the dark channel prior. We introduce an improved Dark Channel Prior method for dehazing image.
The transmission map is refined by opening (eroding and dilating) it, thus reducing the halo and block effect. Our method recovers the true radiance of distant objects and the problem of bluishness is reduced. On the basis of color information ω has been made adaptive. The results show that our method is effective in comparison with other methods.