Single-Pixel Color Imaging Method with a Compressive Sensing Measurement Matrix

Compressive sensing theory has addressed the limitations of traditional methods in the field of information technology, and led to a revolution. On the basis of compressive sensing theory research, this study utilized the exterior determinacy and inherent randomness of chaotic sequences, designed a...

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Bibliographic Details
Main Authors: Tong Jia, Dongyue Chen, Ji Wang, Dong Xu
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Applied Sciences
Subjects:
Online Access:http://www.mdpi.com/2076-3417/8/8/1293
Description
Summary:Compressive sensing theory has addressed the limitations of traditional methods in the field of information technology, and led to a revolution. On the basis of compressive sensing theory research, this study utilized the exterior determinacy and inherent randomness of chaotic sequences, designed a pseudo-random circulant measurement matrix based on chaotic sequence. Compared with other deterministic measurement matrices, the restoration effect of the designed measurement matrix remarkably improved and showed advantages in hardware and storage. Then, this study developed a single-pixel imaging scheme that could accurately obtain color information. The proposed improved measurement matrix combined with the hardware system could accurately reconstruct color images and had good robustness according to various experimental data.
ISSN:2076-3417