Title: A novel approach for mitigating atmospheric turbulence using weighted average Sobolev gradient and Laplacian
Authors: Prifiyia Nunes; Dippal Israni; Karthick D.; Arpita Shah
Addresses: U & P U. Patel Department of Computer Engineering, CSPIT, CHARUSAT, Gujarat, India ' U & P U. Patel Department of Computer Engineering, CSPIT, CHARUSAT, Gujarat, India ' Central Research Laboratory, Bharat Electronics Limited, Bangalore, India ' U & P U. Patel Department of Computer Engineering, CSPIT, CHARUSAT, Gujarat, India
Abstract: Heat scintillation mainly leads to atmospheric turbulence which causes the image distortion due to the propagation of light through the volatile environment. The change in the refractive index due to variation in wind velocity is also the reason for causing turbulence in the atmosphere. Traditional image registration approach lags as it is computationally expensive and need post-processing algorithm for sharpening the image. A non-registration-based Sobolev gradient and Laplacian (SGL) algorithm removes turbulence but results in ghost artifacts in moving objects. This paper proposes a novel approach based on weighted average SGL. The proposed method mitigates atmospheric turbulence as well as restores the moving object in the scene. Performance metrics like SSIM and MSE prove that the proposed algorithm outperforms the state of the art algorithms in terms of restoring the geometric distortion as well as the object of interest.
Keywords: atmospheric turbulence; heat scintillation; restoration; Sobolev; phase shift; weighted average.
International Journal of Computational Vision and Robotics, 2019 Vol.9 No.5, pp.515 - 526
Received: 05 Mar 2018
Accepted: 01 Oct 2018
Published online: 11 Sep 2019 *