A Class of Image Interpolation Method Based on Quasi Hermite Interpolation Spline
The efficiency of any image resizing algorithm is determined by two main factors: the quality of the obtained image and the computational complexity. Although many image interpolation methods have been proposed in the literatures, these methods suffer from the computational complexity as well as runtime evaluations. This paper presents a method for image zooming using quasi Hermite interpolation spline, which provides a smaller interpolation error, and reasonable computing times. Moreover, the method can preserve the contours or edges of images by adjusting the corresponding local parameters. It is a more accurate and fast approximation for the ideal interpolation in space domain than by other linear polynomial interpolation kernel functions. Simulation results are also presented to demonstrate the effectiveness of the proposed method.
Min Sheng Benyue Su Wanbao Hu Gongqin Zhu
College of Computer and Information, Hefei University of Technology, Hefei, 230009, China School of School of Computer and Information, Anqing Teachers College, 246011, China School of Mathematics, Anqing Teachers College, 246011, China Institute of Applied Mathematics, Hefei University of Technology, Hefei, 230009, China
国际会议
2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)
镇江
英文
520-524
2008-07-07（万方平台首次上网日期，不代表论文的发表时间）