A Novel Method for Brain MRI Super-resolution by Wavelet-based POCS and Adaptive Edge Zoom
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 7
Abstract
This paper aims to make the super-resolution of a high-resolution image from a sequence of low-resolution frames containing non-stationary objects. The challenges of making super-resolution image, like unavoidable smoothing effects, introduction of artifacts, computational efficiency in time and computational efficiency in memory requirements, are considered and a novel method is proposed to solve these roblems. The proposed method handles the super-resolution process by using wavelet based projection- nto-convex-set with adaptive edge zoom algorithm. Adaptive edge zoom algorithm address the problem of producing enlarged picture from the given digital image. Wavelet based projection- nto-convex-set method is used to enhance spatial resolution of MRI brain images from a temporal sequence. This method produces more clarity with high peak signal-to-noise ratio.
Authors and Affiliations
N. Hema Rajini , R. Bhavani
Keywords
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