Rudin-Osher-Fatemi (ROF) Model for Blurring Removal in Digital Images
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 1
Abstract
The use of image is everywhere, from selfie to medical imaging. The quality of an image not only depends on camera type but also on the way it is captured. In real time applications quality of images, is not of that much important. But, in applications such as medical imaging and biometrics, where some information needs to be extracted from the images, quality of images becomes important. In images blurring and noise are two degrading processes, and they need to be suppressed before meaningful information can be extracted. In this paper, we concentrate on the blurring removal in images. For removal of the blurring Rudin-Osher-Fatemi model is considered, and obtained results found to be good.
Authors and Affiliations
Rakesh Jaiswal, Akash Awasthi
Keywords
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- EP ID EP21553
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