数字图像插值算法比较研究  

Research on Digital Image Interpolation Algorithm

作　　者：盛晓艳[1] 龚超[1] SHENG Xiao-yan;GONG Chao(Nanjing Forestry University, Nanjing 210037, China)

机构地区：[1]南京林业大学,江苏南京210037

出　　处：《电脑知识与技术》2019年第3Z期153-156,共4页Computer Knowledge and Technology

摘　　要：图像插值是图像处理中最基本的技术之一,得到了广泛研究和应用。文中详细地阐述了常用的4种图像插值算法:最近邻插值、双线性插值、双三次插值、Lanczos插值。从图像插值的一般原理开始,对4种算法的数学公式进行了推导,并给出了部分算法的实现代码。然后,通过在Visual Studio 2015+OpenCV 3.2平台上的实验,分别对4种算法插值后的图像进行主客观两方面的评价,并对算法运行效率做了比较。Image interpolation is one of the most basic technologies in image processing, and has been widely studied and applied.This paper detailly explains 4 commonly used image interpolation algorithms, including nearest neighbor interpolation, bilinear interpolation, bicubic interpolation, Lanczos interpolation. Starting from the general principle of image interpolation, the mathematical formulas of the 4 algorithms are derived, and the implementation codes of some algorithms are given. Then, through the experiments on the platform of Visual Studio 2015 + OpenCV 3.2, the assessment of the subjective and objective two aspects of the interpolated images and the comparison of the operating efficiency are obtained by the 4 algorithms.

关 键 词：图像插值 兰索斯插值 原理 公式 

分 类 号：TP317[自动化与计算机技术—计算机软件与理论]