Weak light image stochastic resonance reconstruction method and device based on cross modulation instability

A cross-modulation, stochastic resonance technology, applied in image acquisition, image enhancement, image data processing, etc., can solve the problems of loss of details, discrete image intensity modulation, etc., to achieve the effect of high feasibility and uniform intensity distribution

Active Publication Date: 2019-01-18
XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI
View PDF6 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to solve the technical problems of discrete intensity modulation and loss of detail in the reconstructed image in the existing single-channel stochastic resonance reconstruction method, the present invention provides a low-light image stochastic resonance reconstruction method and device based on cross-modulation instability

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
  • Weak light image stochastic resonance reconstruction method and device based on cross modulation instability
  • Weak light image stochastic resonance reconstruction method and device based on cross modulation instability

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] An embodiment of the present invention will be described in detail below with reference to the accompanying drawings.

[0036] Such as figure 1 As shown, a device for realizing the stochastic resonance reconstruction method of low-light image based on cross-modulation instability of the present invention includes an imaging light source 1, a beam splitter 2, a first mirror 3, an attenuator 4, a first lens 5, Ground glass 6, diaphragm 7, second lens 8, second reflector 9, beam combiner 10, photorefractive crystal 11 and CCD12; the imaging light source 1 is Nd: YAG laser, and the beam splitter 2 is 50 / 50 The beam splitter, the beam combiner 10 is a 50 / 50 beam combiner; the beam splitter 2 is located on the output light path of the imaging light source 1, and the beam combiner 10 is located at the transmission light of the image signal formed by the imaging beam imaging the target object On the road; the first mirror 3, the attenuating sheet 4, the first lens 5, the ground gl...

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 relates to a weak light image stochastic resonance reconstruction method and device based on cross modulation instability, which solves the technical problems of discrete intensity modulation and image detail loss in the existing single path stochastic resonance reconstruction method. The method and the device combine the scattered image signal beam and the coherence-controllable noise beam to propagate in a nonlinear crystal, and generate mode coupling and phase modulation by adding a coherence-controllable noise beam. The additional noise beam changes the spatial frequency composition of the scattered signal beam and provides enough energy for nonlinear coupling so that the intensity distribution of the reconstructed enhanced weak-light image is uniform and more high-frequency details are presented.

Description

Technical field [0001] The invention belongs to the stochastic resonance reconstruction technology of low-light images, and relates to a method and device for stochastic resonance reconstruction of low-light images. Background technique [0002] Underwater imaging and atmospheric imaging have always been the focus of research, and various technologies are dedicated to improving the distance and sensitivity of image detection in this environment. Water contains a large amount of organic matter, suspended particles and dissolved matter. The atmosphere also contains fog, sol and particulate matter. These components will cause severe absorption and scattering of the transmitted light signal. When the laser beam carrying the image signal is transmitted in these media, as the propagation length increases, the signal strength and coherence decline exponentially. The generated scattered noise quickly floods the image, causing the image quality to drop sharply. Various valuable underwat...

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): G06T1/00G06T5/00G01N21/47
CPCG01N21/47G06T1/0007G06T5/002
Inventor 刘红军王昭路黄楠张永斌
Owner XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI
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