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Equipment for reconstructing high dynamic image in high resolution

A super-resolution, image reconstruction technology, applied in image data processing, 2D image generation, instruments, etc., can solve the problems of complex processing technology, high cost, insufficient use of information, etc., to achieve simple realization principle and improve performance. Effect

Inactive Publication Date: 2009-04-22
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

From the perspective of information acquisition, both super-resolution imaging and high dynamic imaging use multiple images, and because they are not well combined, they do not make full use of the information that can be obtained
In addition, ordinary cameras are limited by the dynamic range of imaging and cannot obtain high-dynamic images, and devices that can obtain high-dynamic images generally use complex processing techniques and are very expensive

Method used

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  • Equipment for reconstructing high dynamic image in high resolution
  • Equipment for reconstructing high dynamic image in high resolution
  • Equipment for reconstructing high dynamic image in high resolution

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specific Embodiment approach 1

[0034]The high dynamic and super-resolution image reconstruction device is composed of three parts: image sensing module (a), image synthesis and output module (b), computer processing and display (c). figure 2 What is shown is a mutual positional relationship adopted by each image plane when four images are synthesized, that is, a half-pixel offset. That is, there is only half a pixel difference between the image sensor 0 (the circle indicates the pixel position of the sensor) and the image sensor 1 (the small triangle indicates the pixel position of the sensor), and they are parallel in the vertical direction. The pixel positions of the other two images are shown in the figure.

[0035] image 3 is the positional relationship of pixels on the two sensor planes when two images are combined. Figure 4 , Figure 5 It is a schematic diagram of a beam splitting system realized by a beam splitting prism when three image sensors are used.

[0036] A luminous flux control part ...

specific Embodiment approach 2

[0041] High dynamic, super-resolution image reconstruction can also be obtained by the following process:

[0042] (1) Set the exposure integration time of the four image sensors, and the exposure time of each image is proportional, for example: e 1 =4e 2 ; and so on;

[0043] (2) Simultaneously expose the four images, and perform position correction preprocessing, so that the corrected image satisfies figure 2 the positional relationship shown;

[0044] (3) Press the four images to figure 2 Merge to obtain an image with an increased size, which is four times the size of the original image;

[0045] (4) Set the threshold, remove the saturated points and noise points in the synthesized image, after normalization, use the gray interpolation method to reconstruct the gray value of these points;

[0046] (5) Post-processing the image to obtain a high dynamic, super-resolution image output result.

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Abstract

The method uses multi low resolution and low dynamic imagers to incorporates the sub-pixel dynamical image formation technology with the technology of multi image reconstructing high dynamical image, and uses a special site distribution of image sensor to implement the reconstructing of ultra-high resolution image, and uses image gray level interpolation to reconstruct image gray level so as to get a high dynamic range and high resolution image.

Description

technical field [0001] The invention is a high-dynamic, super-resolution image reconstruction device, which belongs to the technical field of image acquisition. Background technique [0002] What information we or a computer can get from an image is limited by the image. Current image acquisition systems are limited by spatial resolution, field of view, and dynamic range. In the field of image acquisition technology, various methods for overcoming these limitations have been proposed. For example, aiming at the problem of field of view, the omnidirectional imaging technology is proposed, and the omnidirectional camera has been applied in the fields of robotics and monitoring. In order to break through the limitation of spatial resolution, people have studied super-resolution image reconstruction methods, trying to reconstruct images with better image quality and higher spatial resolution from a series of images with poorer quality and lower resolution. The super-resolutio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T11/00H04N7/18
Inventor 王忠立贾云得
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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