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Adaptive imaging method and system based on pulse signals and computer medium

A technology of pulse signal and imaging method, applied in computing, 2D image generation, image enhancement and other directions, can solve problems such as low signal-to-noise ratio and motion blur, achieve high signal-to-noise ratio, improve visual effects, and improve clarity. Effect

Active Publication Date: 2021-06-25
SPIKE VISION (BEIJING) TECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention proposes an adaptive imaging method, system and computer medium based on pulse signals, aiming to solve the problem of low signal-to-noise ratio of reconstructed images by imaging algorithms of existing pulse cameras or motion blur still appearing in high-speed motion scenes

Method used

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  • Adaptive imaging method and system based on pulse signals and computer medium
  • Adaptive imaging method and system based on pulse signals and computer medium
  • Adaptive imaging method and system based on pulse signals and computer medium

Examples

Experimental program
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Embodiment 1

[0051] figure 1 A schematic diagram of the steps of the weight-based electric control movement method according to the embodiment of the present application is shown in .

[0052] like figure 1 As shown, the pulse signal-based adaptive imaging method of the embodiment of the present application specifically includes the following steps:

[0053] S101: Obtain multiple pixel-based pulse arrays of an object to be imaged according to pulse signals within a preset time period.

[0054] S102: Obtain a reconstructed image sequence within a preset time period according to the plurality of pulse arrays.

[0055] Wherein, according to the multiple pulse arrays, obtaining the reconstructed image sequence within a preset time period specifically includes: reconstructing the reconstructed image sequence by using a pulse interval algorithm.

[0056] S103: Determine the motion track of each pixel in the reconstructed image sequence according to the relative motion between the reconstructe...

Embodiment 2

[0094] This embodiment provides an adaptive imaging system based on pulse signals. For details not disclosed in the adaptive imaging system based on pulse signals in this embodiment, please refer to the adaptive imaging methods based on pulse signals in other embodiments specific implementation content.

[0095] Figure 5 A schematic structural diagram of an adaptive imaging system based on a pulse signal according to an embodiment of the present application is shown in .

[0096] like Figure 5 As shown, the pulse signal-based adaptive imaging system of the embodiment of the present application specifically includes a pulse unit 10, an image reconstruction unit 20, a motion trajectory unit 30, an autoregressive model unit 40, a model parameter calculation unit 50, and an adaptive imaging unit 60 .

[0097] The pulse unit 10 is configured to obtain multiple pixel-based pulse arrays of the object to be imaged according to the pulse signal within a preset time period;

[009...

Embodiment 3

[0119] This embodiment provides an adaptive imaging device based on a pulse signal. For details not disclosed in the adaptive imaging device based on a pulse signal in this embodiment, please refer to the adaptive imaging method based on a pulse signal in other embodiments Or the specific implementation content of the system.

[0120] Image 6 A schematic structural diagram of an adaptive imaging device 400 based on a pulse signal according to an embodiment of the present application is shown in .

[0121] like Image 6 As shown, the adaptive imaging device 400 includes:

[0122] Memory 402: for storing executable instructions; and

[0123] Processor 401: used to connect with memory 402 to execute executable instructions so as to complete the pulse signal-based adaptive imaging method.

[0124] Those skilled in the art can understand that the Image 6 It is only an example of the adaptive imaging device 400, and does not constitute a limitation to the adaptive imaging dev...

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Abstract

The embodiment of the invention provides an adaptive imaging method and system based on pulse signals and a computer medium, and the method comprises the steps: obtaining a plurality of pulse arrays of a to-be-imaged object based on pixel points according to the pulse signals in a preset time period; obtaining a reconstructed image sequence in a preset time period according to the plurality of pulse arrays; according to the relative motion between the reconstructed image sequences, determining the motion track of each pixel point of the reconstructed image sequences; according to the motion trail of each pixel point, establishing an autoregression model of each pixel point in the time direction; adaptively selecting pixel points on the reconstructed image sequence, carrying out adaptive learning on the autoregression model, and determining model parameters of the autoregression model; and according to the model parameters, filtering pixel points of the reconstructed image sequence in a time dimension, and updating light intensity values of the pixel points to generate an image. The problem that a traditional camera is difficult to carry out clear imaging on a scene object moving at a high speed is solved, and an unblurred image with a high signal-to-noise ratio can be generated.

Description

technical field [0001] The present application belongs to the technical field of laser imaging, and in particular relates to an adaptive imaging method, system and computer medium based on pulse signals. Background technique [0002] With the development and progress of science and technology, traditional digital cameras usually shoot and image at a fixed frame rate, and each frame of image is generated in the following way: within a certain exposure time window, each pixel of the image sensor performs photoelectric conversion and Accumulated, the total amount of illumination of the pixel is obtained through analog-to-digital conversion after exposure. Because the information in the exposure time window is superimposed and recorded, this method cannot effectively image high-speed objects, which often leads to blurred imaging of high-speed moving objects. In recent years, the neural connection structure of the fovea of ​​the biological retina and the integral firing model of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00G06T5/00G06T5/10G06T7/20
CPCG06T11/00G06T5/10G06T7/20G06T2207/20004G06T2207/20024G06T5/73
Inventor 熊瑞勤赵菁黄铁军
Owner SPIKE VISION (BEIJING) TECHNOLOGY CO LTD
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