title: Fast single image haze removal via local atmospheric light veil estimation.
abstract: In this study, a novel single-image based dehazing framework is proposed to remove haze artifacts from images through local atmospheric light estimation. We use a novel strategy based on a physical model where the extreme intensity of each RGB pixel is used to define an initial atmospheric veil (local atmospheric light veil). Across bilateral filter is applied to each veil to achieve both local smoothness and edge preservation. A transmission map and a reflection component of each RGB channel are constructed from the physical atmospheric scattering model. The proposed approach avoids adverse effects caused by the error in estimating the global atmospheric light. Experimental results on outdoor hazy images demonstrate that the proposed method produces image output with satisfactory visual quality and color fidelity. Our comparative study demonstrates a higher performance of our method over several state-of-the-art methods.
authors.affiliation: School of Aerospace Science and Technology, Xidian University, No.2 Tabai Rd., Xi'an 710071, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Sun
authors.affiliation: Department of Neurosurgery, University of Pittsburgh, PA 15260 USA.
authors.forename: Hao
authors.initials: H
authors.lastname: Wang
authors.affiliation: School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, P. R. China.
authors.forename: Changhao
authors.initials: C
authors.lastname: Sun
authors.affiliation: School of Aerospace Science and Technology, Xidian University, No.2 Tabai Rd., Xi'an 710071, China.
authors.forename: Baolong
authors.initials: B
authors.lastname: Guo
authors.affiliation: Department of Neurosurgery, University of Pittsburgh, PA 15260 USA.
authors.forename: Wenyan
authors.initials: W
authors.lastname: Jia
authors.affiliation: Department of Neurosurgery, University of Pittsburgh, PA 15260 USA ; Department of Electrical & Computer Engineering, University of Pittsburgh, PA 15260 USA.
authors.forename: Mingui
authors.initials: M
authors.lastname: Sun
keywords: Hazy removal; Illumination design; Image quality assessment; Image reconstruction techniques; Imaging systems