High-quality correspondence imaging based on sorting and compressive sensing technique. (20th October 2016)

• Record Type: Journal Article
• Authors: Wu, Heng; Zhang, Xianmin; Gan, Jinqiang; Luo, Chunling; Ge, Peng
• Is Part Of: Laser physics letters. Volume 13:Number 11(2016:Nov.)
• Publication Date: 2016-10-20
• Subjects: ghost imaging -- correspondence imaging -- image reconstruction techniques -- compressive sensing; Lasers -- Periodicals; Physics -- Periodicals; 621.366
• DOI: 10.1088/1612-2011/13/11/115205
• Languages: English
• ISSNs: 1612-2011

Abstract

Abstract: 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.