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A Method of Laser Interference Image Quality Evaluation

A technology for interfering images and quality evaluation, applied in the field of image processing, can solve the problems of narrow application range of laser interference images, and achieve the effect of strong practicability, wide application scenarios and high reliability

Active Publication Date: 2022-03-18
HUAZHONG UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The invention provides a method for evaluating the quality of laser interference images, which is used to solve the technical problem that the existing laser interference image quality evaluation needs to know the position information of interference spots and targets in advance and has a narrow application range.

Method used

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  • A Method of Laser Interference Image Quality Evaluation
  • A Method of Laser Interference Image Quality Evaluation
  • A Method of Laser Interference Image Quality Evaluation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] A laser interference image quality evaluation method 100, such as figure 1 shown, including:

[0034] Step 110, acquiring the laser interference image and its corresponding reference image;

[0035] Step 120, using the same convolutional network to sequentially perform multiple convolution pooling operations for feature extraction at different levels on the laser interference image and the reference image;

[0036] Step 130, calculate the similarity between the feature vectors obtained when the laser interference image and the reference image undergo the same convolution pooling, and perform weighted calculations on all similarities to obtain an image quality score, and complete the laser interference image quality assessment evaluate.

[0037] It should be noted that after the convolution pooling operation is performed in step 120 , the feature vectors corresponding to each image obtained by each convolution pooling are acquired for use in the similarity calculation ...

Embodiment 2

[0078] A storage medium, in which instructions are stored, and when a computer reads the instructions, the computer is made to execute any laser interference image quality evaluation method as described in Embodiment 1 above.

[0079] The relevant technical solutions are the same as those in Embodiment 1, and will not be repeated here.

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Abstract

The invention discloses a method for evaluating the quality of laser interference images. Pooling operation; calculate the similarity between the feature vectors obtained when the laser interference image and the reference image undergo the same convolution pooling, and perform weighted calculations on all similarities to obtain an image quality score. The present invention introduces a convolutional network into the quality assessment of laser interference images, uses the acquaintance degree of the reference image and the interference image in the output features of each convolutional layer of the convolutional network, measures the degree of distortion of the interference image, and makes full use of the level of feature extraction by the convolutional network and sensitivity to occlusion. In addition, the similarity values ​​corresponding to all convolution pooling are weighted, and the final evaluation score conforms to the actual subjective perception of the human eye. It has high reliability, does not need to detect the position of the target and the spot, and has a wide range of application scenarios.

Description

technical field [0001] The invention belongs to the field of image processing, and more particularly relates to a laser interference image quality evaluation method. Background technique [0002] Laser is used in the interference of photoelectric imaging system because of its monochromaticity, directivity, high brightness and other characteristics. In the process of photoelectric countermeasures, imaging devices such as optical CCD or CMOS are easily affected by laser interference, resulting in a significant decline in image quality. Detection and recognition performance of information processing systems. In-depth analysis of the laser interference effect of the image, especially the impact of laser interference on target detection performance, and a quantitative index system can provide technical support and theoretical basis for the research and development of laser interference systems. [0003] At present, the full-reference image quality evaluation algorithm is simple...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/30168G06T2207/20081G06T2207/20084
Inventor 胡静高翔任立均蒋侃熊涛陈智勇郑伟萍
Owner HUAZHONG UNIV OF SCI & TECH
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