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An improved high-lift filtering fast sea fog image enhancement method

A technology of image enhancement and filtering algorithm, which is applied in image enhancement, image data processing, instruments, etc., can solve the problems of restricting the real-time performance of the algorithm and increasing the difficulty of land defogging algorithm, so as to improve the adaptability of sea navigation and improve the reliability. Visibility and contrast, and the effect of ensuring navigation safety

Active Publication Date: 2018-03-13
HARBIN ENG UNIV
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Problems solved by technology

The above two special situations have seriously increased the difficulty of the current land fog removal algorithm, and the complex algorithm seriously restricts the real-time performance of the algorithm. Therefore, it is of great research significance to propose a simple, effective and fast sea fog removal method.

Method used

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  • An improved high-lift filtering fast sea fog image enhancement method
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  • An improved high-lift filtering fast sea fog image enhancement method

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Embodiment Construction

[0045] The present invention will be further described below in conjunction with the accompanying drawings.

[0046] The present invention relates to a preprocessing technology for the visual system of water surface ships. By using an improved high-lift filter enhancement algorithm, the contrast and visibility of foggy images on the sea surface can be greatly improved, and the improved algorithm in this paper can greatly improve the Improve the dehazing efficiency of sea fog images.

[0047] The object to be processed by this method is the blurred image under the sea fog, and the blurred image is collected by an optical camera installed on a ship. Enhanced dehazing processing is performed on the collected images. The main step is to enhance the original sea fog image through the improved high-lift filter, so as to obtain the enhanced clear image.

[0048]The method proposed by the invention can effectively enhance the image under the sea fog scene, and is applicable to the v...

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Abstract

The invention belongs to the field of image enhancement, and in particular relates to an improved high-lift filter fast sea fog image enhancement method. The invention includes: (1) sea image acquisition; (2) removal of image sea fog based on the improved high-lift filter algorithm; (3) display of clear images. The present invention is applicable to all water surface ships, wherein the processed foggy images on the water surface are obtained by visible light cameras installed on the water surface ships; an improved high-boost filter enhancement algorithm is proposed, which can greatly improve the reliability of sea fog blurred images visibility and contrast. After being processed by the algorithm proposed by the invention, the sea navigation adaptability of the surface vessel can be greatly improved, and the navigation safety of the surface vessel can be greatly guaranteed.

Description

technical field [0001] The invention belongs to the field of image enhancement, and in particular relates to an improved high-lift filter fast sea fog image enhancement method. Background technique [0002] There is a large amount of water vapor in the sea. Due to the increase of water vapor or the cooling of warm air by the sea surface, very dense fog appears on the sea surface, and the foggy area is large and lasts for a long time. The biggest feature is that the visibility is extremely small, often several meters away In such a short distance, surface ships often have no time to slow down and turn, causing serious disasters such as ship grounding or collision, seriously affecting the safe operation of surface ships. On May 2, 1993, due to the influence of sea fog, a Chinese research ship "Xiangyanghong 16" was hit and sunk by a 38,000-ton Cyprus cargo ship "Silver Horn" in the East China Sea; on May 22, 2006 , my country's cargo ship "Zhonghaitong" and "Hangyu 6" collided...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 马忠丽郝亮亮刘权勇文杰顾衍明张永奇
Owner HARBIN ENG UNIV
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