Convergent Three-dimensional Target Matching Filtering for Ghost Imaging

被引：0

作者：

Zhang S.-Y. ^{[1
]}

Sang A.-J. ^{[1
]}

Song L.-J. ^{[2
]}

Wang S.-G. ^{[1
]}

机构：

[1] College of Telecommunication Engineering, Jilin University, Changchun

[2] Jilin Engineering Normal University, Changchun

来源：

Dongbei Daxue Xuebao/Journal of Northeastern University | 2023年 / 44卷 / 02期

关键词：

block matching algorithm; computational ghost imaging; median filter; three-dimensional weighted filtering; video filtering;

D O I：

10.12068/j.issn.1005-3026.2023.02.005

中图分类号：

学科分类号：

摘要：

Aiming at the problems of low sampling frequency, low resolution and high noise in video ghost imaging reconstruction, an aggregated three-dimensional target matching filtering method was proposed. Firstly, each frame of the ghost imaging video is block-matched with the frame to be optimized and each frame of images after block matching is arranged to form a three-dimensional matrix according to the time sequence. According to the frame sequence of each frame picture, different frame weights are assigned to it. Then the matrix is subjected to three-dimensional weighted median filtering. After under-sampling simulation and experimental comparison of moving targets, the method proposed has not only lower noise figure and better structure retention, but also a better subjective evaluation compared with the existing three-dimensional filtering methods. Compared with the original experimental restoration graph, the proposed method reduces the noise figure and edge ambiguity by 34. 25% and 6. 86%, respectively, and the Brisque subjective evaluation was improved by 45. 84% . © 2023 Northeastern University. All rights reserved.

引用

页码：186 / 191

页数：5

共 18 条

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