Image Processing Algorithms Related to Single-Pixel Imaging: A Review

被引：2
作者：
Huang Wei [1 ]
Jiao Shuming [2 ]
Xiao Changyan [1 ]
机构：
[1] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China
[2] Peng Cheng Lab, Shenzhen 518055, Guangdong, Peoples R China
来源：
LASER & OPTOELECTRONICS PROGRESS | 2021年 / 58卷 / 10期
关键词：
imaging systems; single-pixel imaging; ghost imaging; image processing algorithm; classification and recognition; encryption and hiding; deep learning; SIGNAL RECOVERY; GHOST; LIGHT; TRANSMISSION; CODE;
D O I：
10.3788/LOP202158.1011021
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Single-pixel imaging(SPI) as a new imaging technology with low cost of detectors and wide imaging range has wide applications in remote sensing imaging, hyperspectral imaging, and lidar detection, etc. Since SPI has a unique imaging mechanism and framework, specialized image processing algorithms need to be designed. This review, based on the development of SPI, describes the research progresses of SPI in image classification, moving object imaging, blind reconstruction, image encryption and hiding, edge detection, illumination pattern optimization, low-sampling rate image quality improvement. In addition, we briefly discuss the future directions of image processing algorithms related to SPI.
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页数：18
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