基于MATLAB视频监控图像插值算法研究

Research on Image Interpolation Algorithm Based on MATLAB Video Surveillance

插值算法被广泛运用在图形图像处理领域,而在视频监控中图像作为最主要的传递信息的媒介,对图像清晰度有很高的要求。本文使用近邻取样插值算法、双线性内插值算法和双三次插值算法来构建图像算法的优化模型。通过MATLAB软件对监控图像进行插值算法优化,通过不同的插值算法,在灰度图像的浮点坐标中插入新的临近像素值,并分析三种算法之间的优劣。结果表明在不同的使用环境下双三次插值算法对图像的优化效果最优,虽运算量相对较大,但图像边缘像素清晰度依然能够得到保证。

Interpolation algorithms are widely used in the field of graphic image processing.In video surveillance,images are the most important medium for transmitting information,and have high requirements for image clarity.In this paper,the neighborhood sampling interpolation algorithm,bilinear interpolation algorithm and bicubic interpolation algorithm are used to construct the optimization model of image algorithm.The MATLAB software is used to optimize the interpolation algorithm of the surveillance image.Different interpolation algorithms are used to insert new adjacent pixel values in the floating point coordinates of the gray image,and the advantages and disadvantages between the three algorithms are analyzed.The results show that the bicubic interpolation algorithm has the best optimization effect on the image under different use environments.Although the computational complexity is relatively large,the pixel edge resolution of the image can still be guaranteed.