Laser interference image quality evaluation method

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 interfering images, and achieve the effects of strong practicability, wide application scenarios, and improved reliability

Active Publication Date: 2020-02-07
HUAZHONG UNIV OF SCI & TECH
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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 la

Method used

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  • Laser interference image quality evaluation method

Examples

Experimental program
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Example Embodiment

[0032] Example 1

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

[0034] Step 110, obtaining a laser interference image and its corresponding reference image;

[0035] Step 120, using the same convolutional network to sequentially perform multiple convolution pooling operations of different levels of feature extraction 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 are pooled by the same convolution, and perform weighted calculation between all the similarities to obtain an image quality score, and complete the laser interference image quality evaluation. Evaluation.

[0037] It should be noted that, after the convolution pooling operation is performed in step 120, a feature vector corresponding to each image obtained by each convolution pooling is obtained, which is used f...

Example Embodiment

[0077] Embodiment 2

[0078] A storage medium has instructions stored in the storage medium, and when a computer reads the instructions, the computer is made to execute any one of the laser interference image quality evaluation methods described in the first embodiment.

[0079] The related technical solutions are the same as those in the first embodiment, and are not repeated here.

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Abstract

The invention discloses a laser interference image quality evaluation method. The method comprises the steps of acquiring a laser interference image and a corresponding reference image; using the sameconvolution network to respectively carry out convolution pooling operation of multiple times of different level feature extraction on the laser interference image and the reference image in sequence; and calculating the similarity between the feature vectors obtained when the laser interference image and the reference image are subjected to the same convolution pooling, and carrying out weightedcalculation on all the similarities to obtain an image quality score. According to the method, the convolutional network is introduced into laser interference image quality evaluation, the distortiondegree of the interference image is measured by utilizing the similarity of the output features of the reference image and the interference image in each convolutional layer of the convolutional network, and the hierarchy of the features extracted by the convolutional network and the sensitivity to occlusion are fully utilized. Besides, the similarity values corresponding to all convolution pooling are subjected to weighted calculation, the final evaluation score conforms to the actual subjective perception of human eyes, the reliability is high, the positions of a target and a light spot donot need to be detected, and the application scene is wide.

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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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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