基于模糊理论的红外图像锐化及硬件实现

IR Image Sharpening Based on Fuzzy Theory and Its Hardware Realization

针对通常的红外图像锐化方法导致的图像噪声加剧、均匀性变坏、图像生硬等缺陷,提出一种基于模糊理论的图像锐化方法,即模糊噪声和图像边缘的概念,将亮、暗边缘图像中的每一像素对噪声和边缘的隶属度分别计算,然后根据隶属度对该像素进行加权,得到所需参数。最后,本文给出了具体硬件实现方法和实验结果。

Normal IR image sharpening usually causes the aggravation of image noise,the worsening of image regulation and the rigidity of image.Aiming at these disadvantages,a new edge sharpening method based on fuzzy theory is presented.By fuzzing up the concept of noise and image edge,calculating every pixel of the edge according to the membership of noise and edge,then weighting the pixel,and the parameters are gained.At last,the hardware and the result are presented.