Characteristic Structure Study Based on Hadamard Matrix
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.
万方数据
维普
