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Underwater image enhancement method based on structure-texture layering

A technology of underwater image and structure layer, applied in the field of computer vision

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

Residue the noise to the texture layer, and then based on the proposed fog line model, accurately estimate the transmittance from the noise-free structure layer, and then perform enhancement processing, and then use the gradient residual minimization method to enhance the texture layer, after that, through appropriate Scaling and scaling, reconstructing the enhanced structure layer, texture layer and refined edge mask into the final enhanced map, thus solving the problems that existing technologies cannot handle

Method used

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  • Underwater image enhancement method based on structure-texture layering
  • Underwater image enhancement method based on structure-texture layering
  • Underwater image enhancement method based on structure-texture layering

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Embodiment approach

[0078] 1) Perform color correction on the captured image. By observing the color distribution histogram of the underwater image, the characteristics are as follows: figure 2 ,

[0079] 8) We see that because in water, different light segments suffer from different intensities of absorption and scattering, only the blue-green light in the 480-570 band has the smallest attenuation coefficient in water and the strongest penetration ability, so many images captured in water Appears in a pale green light shade. To address this color shift, we employ simple histogram equalization. This principle is very intuitive, that is, the average color distribution of each color channel is moved to the desired range, and then linearly normalized. for each color channel ( Represents the pixel value of each color channel of the image), the lower limit of the boundary is calculated according to the following method ( Represents the minimum value) and upper limit of the pixel value of e...

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Abstract

The invention belongs to the field of computer vision, and provides good detail while improving image contrast, and the natural performance of the tone is kept while the noise is suppressed. An underwater image enhancement method based on structure-texture layering comprises the steps of firstly, carrying out color correction through histogram equalization, decomposing the image subjected to colorcorrection into a low-frequency structural layer and a high-frequency texture layer, leaving the noise on the texture layer, accurately estimating the transmission rate from the structural layer without noise based on a proposed fog line model to conduct enhancement processing, enhancing the texture layer by using a gradient residue minimization method, reconstructing the reinforced structural layer, the texture layer and the refined edge mask to form a final enhanced image through scaling, so that the problems that can not be solved through existing technology is solved. The method is mainlyapplied to underwater image enhancement and processing occasions.

Description

technical field [0001] The invention belongs to the field of computer vision and relates to an underwater image enhancement method based on structure-texture layering. Specifically, the image is divided into a high-frequency texture layer and a low-frequency structure layer through layering processing, which not only avoids the problem of amplifying the noise during the enhancement process, but also preserves the details and edges well, and improves the contrast and tone naturalness. , an underwater image enhancement method based on structure-texture layering. Background technique [0002] Clear and high-visibility underwater image analysis and recognition are of great significance to underwater survey, underwater video, military and other research. However, in complex underwater imaging environments, the image quality is severely degraded due to the influence of absorption and scattering by large suspended particles (like turbid particles in water) during transmission. Th...

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Application Information

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IPC IPC(8): G06T5/00G06T5/40
CPCG06T5/40G06T5/80G06T5/70
Inventor 杨敬钰王新燕岳焕景付晓梅侯春萍
Owner TIANJIN UNIV
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