基于线性插值和正弦灰度变换的红外图像放大

摘要

Organically combined linear interpolation and sine gray level transformation, a new infrared image interpolation and zooming method has been proposed. Firstly, bilinear interpolation method is adopted to calculate the interpolation points as the preliminary interpolation. And then S-shaped sine gray transformation curve is used to enhance processing as the final interpolation. The method makes full use of the simple algorithm and small computational amount of the linear interpolation, meanwhile reduces the effect of image edge blurring brought by linear interpolation. Experimental results show that method of interpolation is better than traditional bilinear interpolation.%　　将线性插值与正弦灰度变换增强二者有机结合，提出一种新的红外图像插值放大方法。先采用双线性插值法计算插值点的初步插值，然后采用S形正弦灰度变换曲线进行增强处理作为最终插值。充分利用线性插值具有的算法简单、计算量小优势，同时又克服了线性插值带来的图像边缘模糊缺限。实验结果表明，本文方法的插值效果优于传统的双线性插值法。