Title: Multiple polynomial regression for solving atmospheric scattering model

Authors: Monika Verma; Vikash Yadav; Vandana Dixit Kaushik; Vinay Kumar Pathak

Addresses: Harcourt Butler Technical University, Kanpur, India ' Harcourt Butler Technical University, Kanpur, India ' Harcourt Butler Technical University, Kanpur, India ' Harcourt Butler Technical University, Kanpur, India

Abstract: Multiple polynomial regression (MPR) is a novel technique for removing haze from images. Haze removal is a challenging task because not much information is there if the single image haze removal is taken into consideration. MPR is a method that solves the atmospheric scattering model (ASM). In solving the ASM from a single image many unknown variables like depth of the scene, scattering coefficient, transmission of the medium, atmospheric light have to be calculated. If all these variables are calculated with precision then it is possible to obtain a haze free image. The current work has shown improvements over the state of the art methods.

Keywords: atmospheric scattering model; ASM; regression; peak signal to noise ratio; entropy.

DOI: 10.1504/IJAIP.2019.098604

International Journal of Advanced Intelligence Paradigms, 2019 Vol.12 No.3/4, pp.400 - 410

Received: 17 Apr 2018
Accepted: 04 May 2018
Published online: 28 Mar 2019 *

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