报告题目：Edge-Directed Image Zooming Algrithm Based on Directional Kernel Interpolation
报告人：Yeon Ju Lee, Department of Mathematical Science, KAIST
时间：12月23日（周五）16：15-17：15
地点：415栋（生物楼）4楼421广东省计算科学重点实验室内
报告概要：In this talk, I summarizes the edge-directed image interpolation method based on radial basis function (RBF) interpolation (IEEE TIP, 2010, Y. J. Lee and J. Yoon) and introduces a new approach based on adapted moving least squares method based on exponential polynomials. The interpolation is and the resampling evaluation is determined according to the edge orientation. The proposed scheme is as simple to implement as linear methods but it demonstrates improved visual quality by preserving the edge features better than the classical linear interpolation methods. The algorithm is compared with some well-known linear schemes as well as recently developed nonlinear schemes. The resulting images demonstrate the new algorithm's ability to magnify an image while preserving the edge features.
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