Fast novel image reconstruction Algorithm using Adaptive R-tree based segmentation and Linear Bivariate Splines

Authors:
Anshul Sood;Monish Kaul;Rajesh Siddavatam
Affiliations:
Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India;McAfee Software Pvt Ltd.;Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India
Venue:
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
Year:
2012

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Abstract

This paper presents a fast and novel method of image reconstruction using Adaptive R-tree based segmentation and Linear Bivariate Splines. We have used our own Significant Pixel Selection Algorithm [8] to represent the strong edges which are then stored in an adaptive R-tree to enhance and improve image reconstruction. The image set can be encapsulated in a bounding box which contains the connected parts of the edges found using edge-detection techniques. Image reconstruction is done based on the approximation of image regarded as a function, by a linear spline over adapted Delaunay triangulation. The proposed method is compared with some of the existing image reconstructions.