基于三次拉格朗日插值的自适应图像缩放

传统的插值算法由于低通滤波效应通常会使目标图像边缘模糊,难以得到满意的视觉效果.为了取得较好的图像缩放质量,提出一种基于三次拉格朗日插值的自适应图像缩放算法.该算法首先计算目标像素点周围三组源像素点的方差,选取方差最小的一组源像素点,然后采用三次拉格朗日插值公式求得目标像素点的灰度值.实验结果表明,本文算法所得的目标图像边缘清晰,且算法复杂度较低,便于硬件实现,可以实现实时图像缩放.

Adaptive Image Scaling with Third-order Lagrange Interpolation

Due to the low-pass filtering effect,traditional interpolation algorithms usually lead to the blurring of the edges in target images,which deteriorates the visual effect of the interpolated images.In order to obtain a better quality of image scaling,a novel adaptive image scaling algorithm with third-order Lagrange interpolation is proposed in this paper.First,the variances of the three sets of the source pixels around the target pixel are computed,and the set with the minimum variance is selected.Then the gray value of the target pixel is computed with third-order Lagrange interpolation formula.Experimental results show that the proposed algorithm is able to achieve vivid edges in target images,and has lower computation complexity which makes it easy for hardware implementation and adapt to real-time image scaling.