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A method and system for image enhancement

An image enhancement and image technology, applied in the field of image processing, can solve the problems of not enhanced detail information, overall dark restoration of image, and poor detail processing effect, so as to avoid the influence of highlight noise, reduce processing capacity, and improve processing efficiency effect

Active Publication Date: 2020-06-12
杭州鲁尔物联科技有限公司
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

The present invention effectively overcomes the problems that the existing dark channel prior method restores the overall dark image and poor visual effect, and the image defogging method of wavelet transform and atmospheric dissipation function does not enhance the detail information and the detail processing effect is poor. The defogged image can achieve detail enhancement at the same time, and the brightness change effect of the image is natural

Method used

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  • A method and system for image enhancement
  • A method and system for image enhancement
  • A method and system for image enhancement

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Experimental program
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Embodiment 1

[0045] Such as figure 1 As shown, this embodiment proposes an image enhancement method, including:

[0046] S1. Perform wavelet decomposition on the collected foggy image to obtain low frequency components corresponding to the foggy image;

[0047] For images with fog, the fog mainly affects the low frequency part of the image. Therefore, the present invention first performs wavelet decomposition on the collected foggy image to obtain the low-frequency component corresponding to the foggy image, and then processes the low-frequency component of the foggy image to reduce the amount of data processing while ensuring the image defogging effect and improve Processing efficiency. The wavelet decomposition process of the foggy image is mainly to filter the horizontal and vertical directions of the image, and then sample the image to obtain the result of image decomposition. Wavelet basis functions include Haar (haar) wavelet, Daubechies (dbN) wavelet, Symlets (symN) wavelet, etc...

Embodiment 2

[0070] Such as figure 2 As shown, this embodiment proposes an image enhancement system, including:

[0071] The first wavelet decomposition module is used to perform wavelet decomposition on the collected foggy images to obtain low frequency components corresponding to the foggy images;

[0072] For images with fog, the fog mainly affects the low frequency part of the image. Therefore, the present invention first performs wavelet decomposition on the collected foggy image to obtain the low-frequency component corresponding to the foggy image, and then processes the low-frequency component of the foggy image to reduce the amount of data processing while ensuring the image defogging effect and improve Processing efficiency. The wavelet decomposition process of the foggy image is mainly to filter the horizontal and vertical directions of the image, and then sample the image to obtain the result of image decomposition. Wavelet basis functions include Haar (haar) wavelet, Daub...

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Abstract

The invention discloses an image enhancement method and system, wherein the method includes: S1, performing wavelet decomposition on a collected foggy image to obtain a low-frequency component; S2, performing wavelet reconstruction on the low-frequency component to obtain a low-frequency sub-image; S3, Estimate the atmospheric dissipation function, atmospheric light value, and medium transmittance based on the low-frequency sub-image; S4, generate a defogged low-frequency sub-image based on the atmospheric dissipation function, atmospheric light value, and medium transmittance; S5, use the dark channel prior defogging method Obtain the first defogged image of the fog-containing image; S6. Perform wavelet decomposition on the first defogged image to obtain high-frequency components; S7. Perform wavelet reconstruction on the high-frequency components to obtain high-frequency components corresponding to the first defogged image Image; S8. Perform wavelet fusion on the low-frequency sub-image and the high-frequency sub-image to generate a second defogged image. The second defogged image generated by the present invention can realize detail enhancement at the same time, and the brightness change effect of the image is natural.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image enhancement method and system. Background technique [0002] UAV aerial photography is widely used in many outdoor vision systems such as traffic monitoring and environmental monitoring. Due to the harsh weather environment in general mountainous areas, the possibility of foggy environment is high, the picture taken directly from the drone is not clear, and there is image noise. [0003] The invention patent application with the publication number CN 108460743 A discloses a dark channel-based UAV aerial image defogging algorithm, which obtains the dark channel image from the color foggy image, obtains the global atmospheric light component A from the dark channel image, and then Calculate the rough transmittance map according to the dark channel image, down-sample the coarse transmittance map, perform guided filtering and then up-sample to obtain the fine transmittance m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/003G06T2207/20064
Inventor 包元锋张亮董梅胡辉宋杰
Owner 杭州鲁尔物联科技有限公司
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