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Night vision image quality improving method, device and equipment based on multispectral analysis

An image quality and multi-spectral technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of less image quality means, low image gray average value, and low image quality, so as to improve the authenticity and uniform distribution , the effect of improving the noise reduction effect

Active Publication Date: 2022-07-15
深圳市安星数字系统有限公司
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Problems solved by technology

The main characteristics of low-light night vision images are: 1. The average gray level of the image is low, the signal-to-noise ratio is low, and the contrast is low, resulting in low image quality; 2. The distribution of image gray levels is concentrated, and the entire frame of image is usually concentrated in tens To hundreds of gray levels, there are fewer means to improve image quality

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  • Night vision image quality improving method, device and equipment based on multispectral analysis
  • Night vision image quality improving method, device and equipment based on multispectral analysis
  • Night vision image quality improving method, device and equipment based on multispectral analysis

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specific Embodiment approach

[0134] In detail, the specific implementation of each module of the device 100 for improving night vision image quality based on multi-spectral analysis is as follows:

[0135] Step 1: Obtain an original night vision image set, segment the images in the original night vision image set, and use the segmented night vision images to perform adaptive training to obtain a local sparse structure dictionary.

[0136] In this embodiment of the present invention, the original night vision image set is an image collected by low-light night vision equipment or a low-light night vision system under low-light illumination conditions, such as low-light photos taken by a surveillance camera under night conditions.

[0137] In detail, the images in the original night vision image set are divided into blocks, and the divided night vision images are used for adaptive training to obtain a local sparse structure dictionary, including:

[0138] According to the preset block size, the images in the...

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Abstract

The invention relates to an artificial intelligence technology, and discloses a multispectral analysis-based night vision image quality improvement method, which comprises the following steps of: partitioning images in an original night vision image set, and carrying out adaptive training by utilizing the partitioned night vision images to obtain a local sparse structure dictionary; performing sparse denoising on the images in the original night vision image set by using the local sparse structure dictionary to obtain a night vision denoised image set, performing spectral filtering processing and color enhancement processing on the images in the night vision denoised image set to obtain an enhanced image set, and performing color recovery processing on the images in the enhanced image set to obtain an enhanced image set; and obtaining a standard night vision image set, and carrying out sub-histogram equalization processing on the images in the standard night vision image set to obtain an enhanced night vision image set. The invention further provides a night vision image quality improving device and equipment based on multispectral analysis. The method can improve the night vision image quality.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, and in particular, to a method, device, electronic device and computer-readable storage medium for improving night vision image quality based on multispectral analysis. Background technique [0002] With the advancement of science and technology and the development of society, monitoring systems are used in various fields and play an increasingly important role. From the military to prisons, from banks to shopping malls, from schools to residential areas and even every street, the demand for surveillance systems is increasing day by day. At the same time, with the increase of people's activity time at night, the information reflected in low-light or even low-light environment is becoming more and more important. The main characteristics of low-light night vision images are: 1. The average gray level of the image is low, the signal-to-noise ratio is low, and the contrast i...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/50G06T5/40
CPCG06T5/50G06T5/40G06T2207/10004G06T2207/10024G06T2207/20021G06T2207/20081G06T5/77G06T5/70
Inventor 黄文斌
Owner 深圳市安星数字系统有限公司
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