Work

Multi-resolution progressive computational ghost imaging

Year: 2019

Type: article

Abstract: Most studies on ghost imaging focus on high-quality and high-resolution imaging with a few measurements. However, as far as we know, continuous multi-resolution imaging is rarely mentioned. In this work, we both theoretically and experimentally demonstrate a method that uses the Hadamard derived pattern to realize continuous multi-resolution imaging simply and quickly, which we call multi-resolution progressive computational ghost imaging, whereby both the reconstruction time and measurements required for multi-resolution images can be significantly reduced. This approach improves the flexibility of ghost imaging, and can be extended to multi-resolution image-dependent practical applications, such as target tracking and recognition.

Source: Journal of Optics

DOI: 10.1088/2040-8986/ab1471

Authors: Cheng Zhou, Tian Tian, Chao Gao, Wenlin Gong, Lijun Song

Institutions: Northeast Normal University, Jilin Engineering Normal University, Changchun University, Changchun University of Science and Technology, Chinese Academy of Sciences, Shanghai Institute of Optics and Fine Mechanics

Language: English

Topic: Random lasers and scattering media

Subfield: Acoustics and Ultrasonics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: bronze

Funders: Chinese Academy of Sciences, People's Government of Jilin Province, Youth Innovation Promotion Association of the Chinese Academy of Sciences, Youth Innovation Promotion Association

OpenAlex ID: W2898764934

FWCI: 2.122

Cites: 30

Cited by: 37

Related to: 10