Fast novel image reconstruction Algorithm using Adaptive R-tree based segmentation and Linear Bivariate Splines
Anshul Sood, M. K. Kaul, Rajesh Siddavatam · 2012
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.