Abstract
In the past decade there has been a growing amount of research concerning partial differential equations in image enhancement.In this paper,a feature preserving coupled bidirectional flow is presented,where an inverse diffusion with a soft edge decision is performed to sharpen edges along the normal directions to the isophote lines(edges),while a normal diffusion is done to remove noise and artifacts(jaggies)along the tangent directions on the contrary.The two converse diffusion forces are split into a coupled form to stop the cancellation between each other.To preserve image features,the nonlinear diffusion coefficients are adjusted according to the local differential geometry of image.Experimental results demonstrate that the algorithm substantially improves the subjective quality of the enhanced images.
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.
