Underwater image enhancement method based on color correction and three-interval histogram stretching

A histogram stretching and color correction technology, applied in the field of image processing, can solve the problem that image information is difficult to restore

Pending Publication Date: 2021-02-26
DALIAN MARITIME UNIVERSITY
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Problems solved by technology

Severe deterioration makes im...

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  • Underwater image enhancement method based on color correction and three-interval histogram stretching
  • Underwater image enhancement method based on color correction and three-interval histogram stretching
  • Underwater image enhancement method based on color correction and three-interval histogram stretching

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Embodiment 1

[0178] like figure 2 As shown, firstly, the first greenish image is processed by various algorithms; Figure 2-1 -1 is the result map processed by the HEEF algorithm. It can be seen that the result map is greenish overall, and the details are slightly blurred, which does not achieve the expected effect. Figure 2-1 -2 is the result map processed by the BBHE algorithm. It can be seen that the result map is still greenish overall, the details are not clear, and the effect is not good. Figure 2-1 -3 is the result image processed by the DOTHE algorithm. It can be seen that the overall green color of the result image has been reduced, and the details have been partially improved, but the image is overexposed, resulting in excessive brightness of the image and loss of details, which did not achieve the expected effect. Figure 2-1 -4 is the result image processed by the algorithm of this paper. It can be seen that the color cast problem of the result image has been solved, the de...

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Abstract

The invention provides an underwater image enhancement method based on color correction and three-interval histogram stretching. The method comprises steps of performing color correction processing ona source image, processing the source image in an R channel, a G channel and a B channel by adopting a three-interval histogram equalization method, stretching pixel values of a single channel, performing threshold selection and separating three sub-intervals, and finishing three-interval equalization operation to obtain an enhanced image of three-interval histogram equalization; and performing linear weighted fusion on the image after subinterval linear transformation and the three-interval histogram equalization image to reconstruct a final defogged image. According to the method, a histogram equalization method based on multiple intervals is utilized to perform more accurate division on the single-channel histogram of the source image, perform histogram equalization on the single interval and perform linear fusion with the image after color correction processing so that dark details of the source image can be better displayed, noise can be reduced and image defogging can be realized.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an underwater image enhancement method based on color correction and three-interval histogram stretching. Background technique [0002] The development and utilization of marine resources relies on underwater images, which are usually captured by underwater cameras and underwater robots. Due to the absorption and scattering of light, underwater images have problems such as low contrast and color cast, which cause image degradation and make underwater images difficult to analyze. Common factors that affect decay rates are water temperature and salinity, and the type and amount of suspended particles in the water. Severe deterioration makes image information difficult to recover. Therefore, finding an effective solution to restore the color and contrast of underwater images is a very challenging task. [0003] According to research, underwater augmentation techn...

Claims

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Application Information

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IPC IPC(8): G06T5/40G06T5/50G06T7/90
CPCG06T5/40G06T5/50G06T7/90G06T2207/20221
Inventor 张维石周景春庞磊
Owner DALIAN MARITIME UNIVERSITY
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