计算机与数字工程2023，Vol.51Issue(10)：2418-2424,7.DOI:10.3969/j.issn.1672-9722.2023.10.038
基于半耦合字典的CT图像超分辨率重建方法研究
Research on CT Image Super-resolution Reconstruction Based on Semi Coupled dictionary
摘要
Abstract
Taking into account the problems of low peak signal-to-noise ratio and structural similarity in CT image super-res-olution reconstruction in traditional methods,and poor reconstruction effect,in order to get a better image,a CT image super-reso-lution reconstruction method based on semi-coupled dictionary is proposed.The CT image is exposed and processed using the convo-lution form between the initial image and the neuron function.Based on the discretization characteristics of image resolution,an im-age degradation model is constructed.By setting the matching points and the basic parameters of computed tomography,the su-per-resolution attribute characteristics of CT images are obtained.The Fourier algorithm is used to accurately match the image su-per-resolution feature points,and the semi-coupling algorithm is trained to design the image super-resolution reconstruction algo-rithm to realize the super-resolution reconstruction of the CT image.Experimental results show that this method can not only im-prove the peak signal-to-noise ratio and structural similarity of the reconstruction,but also improve the smoothness of the edges of the reconstructed image to get better reconstruction effect.关键词
半耦合字典/CT图像/重建算法/超分辨率/特征点匹配Key words
semi-coupled dictionary/CT images/reconstruction algorithm/super resolution/feature point matching分类
信息技术与安全科学引用本文复制引用
范璐敏,樊重俊,沈玲丽,左星华..基于半耦合字典的CT图像超分辨率重建方法研究[J].计算机与数字工程,2023,51(10):2418-2424,7.基金项目
大型医疗设备效益分析及维保策略分析研究(编号:沪中西会发[2023]087号-YG20302)资助. （编号:沪中西会发[2023]087号-YG20302）
