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Image enhancement processing method applied to correlated imaging

A technology related to imaging and processing methods, applied in the field of image processing, can solve the problems of CLEAN algorithm is difficult, algorithm time complexity is high, and memory space is high, so as to reduce the amount of calculation and running time, low time complexity, and memory space reduction Effect

Active Publication Date: 2019-06-07
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

However, the difference from the associated imaging lidar is that: first, the associated imaging lidar system has not previously had a concept corresponding to the point source response of the astronomical imaging system, and it is difficult for the CLEAN algorithm to be directly applied to the associated imaging lidar system; , the CLEAN algorithm needs to calculate the point source response at the maximum point in each residual map, the time complexity of the algorithm is high, and it consumes a lot of memory space

Method used

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  • Image enhancement processing method applied to correlated imaging
  • Image enhancement processing method applied to correlated imaging
  • Image enhancement processing method applied to correlated imaging

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Embodiment 1

[0058] The data of Example 1 and Example 2 are all derived from the field test of the cooperative unit. After the collected data is obtained, the data is correlated and calculated to obtain the correlation result. In Example 1, only part of the steps of the patent algorithm is carried out. To test the effect of the patented algorithm on the elimination of spatial structure noise, in the second example, the complete steps of the patented algorithm are carried out, which improves the quality of image optimization while completing the noise removal and reducing the time required for the algorithm to run. With reference to the description of the drawings, it can be seen that it is difficult to distinguish the shape of the actual object in the original second-order correlation operation result graph, and periodic interference noise can be seen in the background. It can be seen from the first embodiment that the algorithm has an excellent effect in removing periodic structure noise, a...

Embodiment 2

[0087] In this embodiment, the reference arm light field sampling data contains 10,000 pictures, each picture has 250*250 pixels, stored in the avi format, and the signal arm light intensity response data is a 1*10000 vector data. Stored in a text file. When applying the algorithm of this patent, the video file is first read with the aid of the additional library, and its content is stored in the computer memory, and then the light intensity information is obtained, which is also stored in the memory.

[0088] Description of the drawings figure 2 Is the flowchart of this embodiment,

[0089] Description of the drawings image 3 This is the calculation flowchart of the g2 matrix in this embodiment,

[0090] Such as figure 1 As shown, the image enhancement processing method (part) applied to associated imaging provided by this embodiment includes the following steps:

[0091] Set the termination condition of the image enhancement method as:

[0092] Jump out of the loop when the maximu...

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Abstract

The invention discloses an image enhancement processing method applied to correlated imaging, and the method comprises the steps: carrying out the correlated calculation of reference arm light field sampling data and signal arm light intensity response data, and obtaining a correlated imaging result graph; calculating a normalized autocorrelation matrix and a full width at half maximum of a resultgraph; subtracting the product of the normalized autocorrelation matrix and the gain coefficient from the result graph to obtain a residual graph; iteratively calculating a maximum value point in theresidual error graph and a corresponding normalized autocorrelation matrix, and subtracting a product of the matrix and a gain coefficient from the residual error graph; counting the position and theintensity of the point into a net point graph; stopping iteration when an iteration termination condition is met; and performing convolution on the Gaussian function and the net point graph through half-height full-width fitting, so that a correlated imaging result graph of an aperiodic structure can be obtained. The method can solve the periodic repeated structure problem caused by insufficientspatial frequency sampling, improves the visibility and the signal-to-noise ratio of the correlated imaging result graph, and is high in anti-noise capability, high in calculation speed and good in practical effect.

Description

Technical field [0001] The invention belongs to the field of image processing, and in particular relates to an image enhancement processing method based on a second-order autocorrelation function in the associated imaging to remove the periodic repetitive structure of the associated imaging result image. Background technique [0002] Correlated imaging technology is an indirect multiple exposure imaging method based on the related properties of a specific order of the illumination electromagnetic field. The "off-object imaging" characteristic of the optical path for object detection without spatial resolution greatly reduces the requirements of the imaging system for area array detectors, and can achieve ultra-diffraction limit spatial resolution under specific conditions, and can be combined with lidar and three-dimensional imaging The efficient combination of applied optics and imaging technologies has important application significance and wide application prospects. [0003] A...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 杨东玥李俊晖常宸罗斌尹龙飞吴国华
Owner BEIJING UNIV OF POSTS & TELECOMM
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