Single-pixel photon counting spread spectrum compression depth imaging method

A technology of photon counting and imaging method, applied in the field of laser imaging, can solve the problems of large measurement matrix dimension, reduce the efficiency of system measurement, and increase the storage burden of the system, so as to reduce the number of modulations, improve the imaging efficiency, and reduce the redundant data storage. The effect of redundancy

Pending Publication Date: 2022-01-11
NANJING VOCATIONAL UNIV OF IND TECH
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing problem of this kind of existing technology is that, at a lower SNR, it is often necessary to increase the modulation number M of the random matrix to recover a depth image with a high SNR, and the dimension of the measurement matrix is ​​too large. It will undoubtedly increase the storage burden of the system and reduce the efficiency of system measurement

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Single-pixel photon counting spread spectrum compression depth imaging method
  • Single-pixel photon counting spread spectrum compression depth imaging method
  • Single-pixel photon counting spread spectrum compression depth imaging method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] Below in conjunction with accompanying drawing of description, the present invention will be further described.

[0056] The invention provides a single-pixel photon counting spread-spectrum compression depth imaging method, which overcomes the distance ambiguity problem of single-pixel imaging at present; uses the best correlation detection method to improve the receiving signal-to-noise ratio of single-pixel imaging; reduces the number of modulations to reduce Measure matrix dimensions, reduce data storage redundancy, and improve imaging efficiency.

[0057] The present invention is based on a single-pixel photon counting spread spectrum compression depth imaging device, such as figure 1 As shown, the single-pixel photon counting spread spectrum compression depth imaging device includes a computer, a pseudo-random code generator, a vertical surface laser, a beam expander, a polarizer, an imaging lens, a polarizing beam splitter, a digital light projection chip, and a ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a single-pixel photon counting spread spectrum compression depth imaging method, which comprises the following steps: S1, sending, by a pseudo-random code generator, based on a programmable logic device, a pseudo-random code to drive a vertical surface laser to emit a light beam; s2, generating a random matrix, and loading the generated random matrix to a digital light projection chip through an electric signal; s3, enabling the light beam emitted by the vertical surface laser to reach the target and receiving, by the receiving system, the returned light beam; s4, acquiring a photon arrival time point value through a single-photon detector and a photon time arrival recorder within a certain integral time; s5, obtaining a measurement vector through an optimal correlation detection method; s6, reconstructing a depth image of the target through a sparse programming inversion method. The problem of range ambiguity of current single-pixel imaging is solved, the receiving signal-to-noise ratio of single-pixel imaging is improved and the modulation frequency is reduced by utilizing an optimal correlation detection method, so that the measurement matrix dimension is reduced, the data storage redundancy is reduced, and the imaging efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of laser imaging, in particular to a single-pixel single-photon counting spread spectrum compression depth imaging method. Background technique [0002] In recent years, the research on time-correlated photon counting spread spectrum two-dimensional imaging technology has been widely carried out. [0003] The existing technology is based on the best correlation detection method. Firstly, the pseudo-random code transmitted along the way and the arrival time point of the received pseudo-random photon are cross-correlated, and then the peak value and amplitude value of the cross-correlation function are extracted as the depth and intensity of a single pixel. information. The light spot of a single pixel is moved through a two-dimensional guide rail or a vibrating mirror, and the depth and intensity information of the two-dimensional plane is obtained by scanning one by one. This scanning imaging technology ne...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01S17/89G01J11/00
CPCG01S17/89G01J11/00
Inventor 沈姗姗
Owner NANJING VOCATIONAL UNIV OF IND TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products