电子器件2024，Vol.47Issue(1)：145-150,6.DOI:10.3969/j.issn.1005-9490.2024.01.025
基于两步迭代收缩法的多稀疏空间图像快速重构方法
A Fast Reconstruction Method of Multi-Sparse Space Image Based on Two-Step Iterative Shrinkage Method
摘要
Abstract
Image reconstruction methods have the problem of poor reconstruction effect due to the large pixel range selection,low peak signal-to-noise ratio and long reconstruction time in multi-sparse space image reconstruction.A fast reconstruction method of multi-sparse space image based on two-step iterative contraction is proposed.The problems existing in multi-sparse space image reconstruction were clarified.The iterative weighted shrinkage algorithm was introduced based on the iterative shrinkage threshold algorithm after iden-tifying the problems,and the results of each iteration were combined as initial values,the two-step iterative shrinkage method design of image reconstruction was completed to realize the rapid reconstruction of multi-sparse space image.The experimental results show that the peak signal-to-noise ratio of reconstructed multi-sparse space images can reach more than 37.9 dB,image reconstruction time is only 16.0 ms,the image structure similarity can reach more than 0.98,and the reconstruction effect of multi-sparse space images is better.The feasibility of method has been verified by experimental analysis.关键词
多稀疏空间图像/图像重构/两步迭代收缩法/迭代加权收缩算法/迭代收缩阈值算法Key words
multi-sparse space image/image reconstruction/two-step iterative shrinkage method/iterative weighted shrinkage algorithm/iterative shrinkage threshold algorithm分类
信息技术与安全科学引用本文复制引用
许学添,郑禹..基于两步迭代收缩法的多稀疏空间图像快速重构方法[J].电子器件,2024,47(1):145-150,6.基金项目
2022年中国高校产学研创新基金新一代信息技术创新项目(2022IT072) （2022IT072）
2023年广东省普通高校特色创新类项目(2023KTSCX295) （2023KTSCX295）
国家自然科学基金青年科学基金(81600808) （81600808）
