Sea fog image automatic defogging method and sea fog image automatic defogging system based on dark channel and Retinex

A dark channel image and dark channel technology, applied in the field of automatic fog removal of sea fog images, can solve problems such as dark images and weak algorithm robustness

Active Publication Date: 2017-03-29
DALIAN UNIV OF TECH
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Problems solved by technology

The extraction of the sea antenna can ensure that a more accurate sky area is obtained to obtain an accurate atmospheric light value, but the maximum brightness is often close to 255, so it is easy to cause the overall image to be dark after defogging
[0008] In the paper "An Improved High Efficiency Dehazing Algorithm for Maritime Targets" (published in "Journal of Dalian Maritime University", 2014, v.40; No.15904:85-88.), Xia Guilin et al. The estimation of the image has been improved. Since t

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  • Sea fog image automatic defogging method and sea fog image automatic defogging system based on dark channel and Retinex
  • Sea fog image automatic defogging method and sea fog image automatic defogging system based on dark channel and Retinex
  • Sea fog image automatic defogging method and sea fog image automatic defogging system based on dark channel and Retinex

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Embodiment Construction

[0145] The specific embodiments of the present invention will be further described below with reference to the drawings and technical solutions.

[0146] figure 1 It is a schematic flow chart of the defogging method of the present invention, including:

[0147] (1) Find the fogged image (see attached image 3 For the dark channel image shown in (a), the filter template size is 15×15.

[0148] (2) Obtain the classification-related features of the input image 3(a), where m=1, n=80, p=10, and q=20.

[0149] 1) The calculated value of D is 0.068.

[0150] 2) The calculated value of L is 188.12.

[0151] 3) Divide the image into 192×108 small blocks and calculate the contrast of each block.

[0152] 4) According to statistics, the ratio C1 with a contrast less than 10 is 0.55, and the ratio with a contrast less than 20 is 0.85.

[0153] (3) Automatically classify the input image according to the extracted features.

[0154] In the specific implementation, the proportion threshold D_T is set to ...

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Abstract

The invention discloses a sea fog image automatic defogging method and a sea fog image automatic defogging system based on a dark channel and Retinex, and belongs to the technical field of image information processing. The method comprises the following steps: (1) calculating a dark channel image of an input image; (2) calculating the proportion of the low-value pixels of the dark channel image, and calculating the brightness and contrast characteristics of the input image; (3) automatically classifying the image according to the proportion and the characteristics calculated; and (4) processing a to-be-processed image according to the category of the image. The invention further discloses a sea fog image automatic defogging system based on a dark channel and Retinex. According to the invention, an image can be classified according to the attribute of the image, and a corresponding processing method can be selected adaptively. The contrast and definition of sea fog images are improved greatly. Moreover, the algorithm has low complexity and high operation speed, and thus can be used in a maritime intelligent transportation system.

Description

Technical field [0001] The invention belongs to the technical field of image information processing, and in particular relates to a method and system for automatic defogging of sea fog images based on dark channels and Retinex. Background technique [0002] The ocean accounts for about 71% of the earth's surface area, and the ocean is a treasure house of many resources. In recent years, with the reduction of land development space and resources, mankind has further extended the goal of exploration and development from land to the sea. Therefore, the issue of marine safety has become particularly important. Due to the particularity of the marine environment, monitoring is usually used to strengthen the supervision and management of marine safety. The cameras installed on marine navigation equipment such as fishing vessels and vessels can observe the sea surface in a timely and effective manner, which is extremely important for the safety of personnel and equipment. . [0003] Due ...

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/003G06T2207/10016G06T2207/10024G06T2207/20024G06T2207/20036
Inventor 王洪玉刘少丽王洁郝应光
Owner DALIAN UNIV OF TECH
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