Removing Atmospheric Turbulence Using Restoration Algorithm
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 4
Abstract
Abstract: It remains a challenge to simultaneously remove geometric distortion and space-time-varying blur in frames captured through a turbulent atmospheric medium. To solve, or to reduce these effects, we proposed a new approach in this paper for restoring a single high-quality image from a given image sequence distorted by atmospheric turbulence. This approach is used to reduce the space and time-varying deblurring problem to a shift invariant one. First we use a B-spline based non-rigid image registration algorithm to register each observed frame with respect to a reference image and it also suppresses geometric deformation. Next approach is image stitching algorithm in that the frames are stitched together using an edge-correlation algorithm. Finally, a sharpening high-pass filter is applied to the final image to generate a final high-quality output. This approach can effectively alleviate blur and distortions, recover details of the scene, and significantly improve visual quality.
Authors and Affiliations
Vani. M , Shruthi. M. K
Keywords
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