基于Hadamard矩阵的特征结构研究

Characteristic Structure Study Based on Hadamard Matrix

在计算鬼成像中,常用2D-haar小波作为基底来进行待测物体的特征结构识别工作,该方案在进行图像重构时所需时间长,对物体特征结构信息识别有限。为进一步研究物体的特征结构,讨论了Hadamard矩阵以及Hadamard照明图样内部最小单元的关系,并基于此提出了一种基于Hadamard矩阵的角度结构测量方案,从而实现多分辨率多尺度的分析。这种基于角度结构测量的方式,可以很好的与物体结构性特征相结合,对于物体特征结构的识别具有较好的作用,同时减少图像重构过程中矩阵存储的内存消耗,提高成像效率。

In computational ghost imaging,2D-haar wavelets are often used as the substrate for the feature structure recog-nition of the object to be measured,and the scheme takes a long time to reconstruct the image,and the recognition of the characteristic structure information of the object is limited.In order to further study the characteristic structure of the object,the relationship between the Hadamard matrix and the smallest unit inside the Hadamard illumination pattern is discussed,and an angle structure measurement scheme based on the Hadamard matrix is proposed,so as to realize multi-resolution and multi-scale analysis.This method based on angle structure measurement can be well combined with the structural fea-tures of the object,which has a good effect on the recognition of the feature structure of the object,and at the same time reduces the memory consumption of matrix storage in the process of image reconstruction and improves the imaging efficiency.