Abstract
We propose an effective physical model based single-image dehazing algorithm under the regularization framework. Using an anisotropic Laplacian term as a constraint, the atmospheric propagation model that encodes the thickness of the haze is estimated by the regularization theory. Employing the physical model, haze-free images are reconstructed via the Beltrami regularization based on the color image manifold theory. Comparative experiments on a variety of test images demonstrate the power and the applicability of the proposed method.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
