结合双线性插值与局部均值的红外图像插值算法

Infrared Images Interpolation Algorithm Combining Bilinear Interpolation and Local Mean

针对现有图像插值算法只考虑原始图像像素的问题,提出了一种兼顾原始图像与插值图像的红外图像插值算法。该算法将原始图像中的像素映射至插值图像中,然后使用双线性插值算法从原始图像中恢复插值像素,最后通过插值图像中已有的像素对插值像素进行加权修复。实验结果表明,所提算法的插值效果优于经典的图像插值算法,能有效避免锯齿和模糊现象的发生。

Aiming at the problem that the existing image interpolation algorithms only considers the original image pixels,an infrared image interpolation algorithm is proposed,which takes both the original image and the interpolated image into account.Firstly,the pixels in the original image are mapped to the interpolation image,then the bilinear interpolation algorithm is used to recover the interpolation pixels from the original image,and finally the existing pixels in the interpolation image are weighted to repair the interpolation pixels.The experimental results show that the proposed algorithm is better than the classic image interpolation algorithms,and can effectively avoid the occurrence of aliasing and blur.