Image Resizing Using Exponential B-Spline Functions

Abstract

Recently, exponential B-spline functions have been demonstrated as a new bridge between discrete and continuous time signal. In this paper, we propose an imaging resizing algorithm which exploits the merits of exponential B-spline functions. The theoretical background is introduced, and the analysis and synthesis filter are deduced. The main advantage of the algorithm is that it maintains the high frequency components of image so that the resized image has better visual quality. In addition, it can be used to resize images by any factor. The experimental results show that the algorithm outperforms the standard methods.