分类
压缩传感
鬼影成像
计算机科学
探测器
人工智能
干扰(通信)
图像质量
对象(语法)
计算机视觉
模式识别(心理学)
图像(数学)
算法
电信
频道(广播)
作者
Heng Wu,Xianmin Zhang,Jinqiang Gan,Chunling Luo,Peng Ge
标识
DOI:10.1088/1612-2011/13/11/115205
摘要
We propose a high-quality imaging method based on correspondence imaging (CI) using a sorting and compressive sensing (CS) technique. Unlike the traditional CI, the positive and negative (PN) subsets are created by a sorting method, and the image of an object is then recovered from the PN subsets using a CS technique. We compare the performance of the proposed method with different ghost imaging (GI) algorithms using the data from a single-detector computational GI system. The results demonstrate that our method enjoys excellent imaging and anti-interference capabilities, and can further reduce the measurement numbers compared with the direct use of CS in GI.
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