基于形态学和自适应模糊内插的红外图像放大

Forward Looking Infra-Red Image Enlargement Based on Morphology and Adaptive Fuzzy Interpolation

摘要: 提出一种有效的红外图像放大算法,该算法和常用的基于双线性内插进行图像放大的算法有所不同.文中算法首先采用基于形态学的预处理算法对红外图像进行预处理;以使得边缘定位更容易;然后采取一种自适应模糊内插算法进行图像放大,该算法克服了一些基于双线性内插算法进行图像放大的算法的缺点;最后,给出文中算法和基于双线性内插算法进行图像放大的算法的实验结果.实验结果表明,文中算法有效地提高了放大图像的质量.

Abstract: An effective forward looking infra-red (FLIR) image enlargement algorithm in contrast to bi-linear interpolation is proposed. It first preprocesses the FLIR image with morphology technique to locate the bounding edges more precisely. Then it adopts an adaptive fuzzy interpolation algorithm to enlarge the image. It overcomes some shortcomings of the bi-linear interpolation approach. Experiment indicates that the enlargement quality of our algorithm is superior to bi-linear interpolation.