Image Dehazing using Dark and Bright Channel Priors and Multi scale Filters
The paper proposes bright and dark channel priors dependent single image based dehazing in two color spaces. The hazy RGB is first converted into YCbCr space. Transmission maps are estimated using dark channel priors (DCPs) and airlight of intensity (in YCbCr) and RGB components computed using three window sizes. Bright channel priors (BCPs) and threshold values are also computed for YCbCr and RGB color spaces. The transmission maps are adjusted using DCPs and BCPs and refined using multiscale guided filter to obtain a superior dehazed image. Comparison (both visually and qualitatively) on variety of images exhibits the significance of proposed technique over existing techniques.
2020 14th International Conference on Open Source Systems and Technologies (ICOSST)