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A gradient-guided tv-retinex single-frame image defogging method

A frame image and brightness image technology, applied in the field of fast image defogging methods, can solve problems such as difficulty in adapting to real-time applications, insufficient to meet the simple and fast requirements of real-time systems, and meet real-time application requirements, correct color cast, and meet The effect of real-time requirements

Active Publication Date: 2021-10-22
HUBEI UNIV OF TECH
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Problems solved by technology

[0003] The current image defogging method has multiple frames and requires known fog-free images or multiple images, which is difficult to adapt to real-time applications. There are also single frames but require certain prior knowledge to support
These two methods have certain limitations, which are not enough to meet the simple and fast requirements of real-time systems.

Method used

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  • A gradient-guided tv-retinex single-frame image defogging method
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  • A gradient-guided tv-retinex single-frame image defogging method

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Embodiment Construction

[0072] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the examples. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0073] Below at first some concepts mentioned in the present invention are introduced:

[0074] The main effect caused by fog is that the overall brightness of the image increases and the color casts, while the contrast decreases. Therefore, the main goal of defogging is to correct color cast and improve image contrast, and image detail is also a very important enhancement factor. In the concept of intrinsic image, the image information F(x,y) received by the machine vision system can be expressed as the product of the illumination component I(x,y) and the reflection component R(x...

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Abstract

The invention discloses a gradient-guided TV-Retinex single-frame image defogging method, which belongs to the field of computer vision. The method first uses gradient similarity according to the mechanism of image degradation caused by fog, and uses a semi-quadratic penalty calculation method to achieve brightness offset correction, and then combines the variational framework (TV‑) Retinex with the Split Bregman algorithm for image refinement enhancement and dehazing. The advantage of this method is that it can directly restore a clear image from the original image without pre-stored fog-free images as a reference, and can correct image brightness to improve image details and clear images to restore clear and fog-free images; it can quickly complete the defogging process and can adapt to real-time applications , Improve the reliability and efficiency of outdoor intelligent machine vision systems.

Description

technical field [0001] The invention relates to a fast image defogging method, belongs to the field of computer vision, and in particular relates to an image preprocessing method and image enhancement technology of a computer vision system. Background technique [0002] Preprocessing the video image of computer vision system is a very important step, which can be widely used in outdoor video surveillance, outdoor survey system, automatic navigation system and traffic management system and other fields. Fast image defogging refers to the rapid defogging of images in computer vision systems to make images clear and resist the impact of weather changes on system work efficiency. [0003] The current image defogging method has multiple frames and requires known fog-free images or multiple images, which is difficult to adapt to real-time applications. There are also single frames but require certain prior knowledge for support. These two methods have certain limitations, which a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06F17/14
CPCG06F17/14G06T5/002G06T5/003G06T2207/10016
Inventor 李利荣武明虎赵楠吴丹雯
Owner HUBEI UNIV OF TECH
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