Supercharge Your Innovation With Domain-Expert AI Agents!

Underwater image enhancement processing method and device

An underwater image and enhancement processing technology, applied in the field of image processing, can solve the problems of poor image enhancement effect and unsuitable underwater image processing, etc., and achieve the effects of ensuring real-time performance, improving enhancement processing effect, and improving clarity.

Inactive Publication Date: 2019-06-07
哈工大机器人(岳阳)军民融合研究院
View PDF7 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to solve the problem that the existing image enhancement processing method has poor image enhancement effect and is not suitable for underwater image processing

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Underwater image enhancement processing method and device
  • Underwater image enhancement processing method and device
  • Underwater image enhancement processing method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] figure 1It is a schematic diagram of main steps of the underwater image enhancement processing method in Embodiment 1 of the present invention. Such as figure 1 As shown, the underwater image enhancement processing method of the embodiment of the present invention includes:

[0039] Step S101 , acquiring an underwater image to be processed.

[0040] During specific implementation, the underwater image data can be captured by a camera (the underwater image data can be video data), and then the underwater image data can be processed by OpenCV (a cross-platform computer vision library) or other similar software tools. Decoding is performed, and then the decoded underwater image is sent to an image enhancement processing device for processing.

[0041] Step S102 , performing defogging processing on the underwater image to be processed according to the red channel prior defogging theory, so as to obtain a defogged underwater image.

[0042] The main idea of ​​the dark ch...

Embodiment 2

[0050] figure 2 It is a schematic flow chart of the defogging treatment steps in Embodiment 2 of the present invention. Such as figure 2 As shown, the defogging processing steps in the embodiment of the present invention specifically include:

[0051] Step S201, constructing an underwater imaging scattering model represented by each color channel component, wherein the underwater imaging scattering model conforms to the red channel prior dehazing theory.

[0052] Considering that the absorption rate of red light is fast underwater, almost all the red channels of underwater images contain very low pixel values, so the underwater imaging scattering model represented by each color channel component is constructed as follows:

[0053]

[0054] In the formula, I r (x) represents the underwater image component to be processed on the red channel, t r (x) represents the underwater transmittance component on the red channel, J r (x) represents the component of the underwater ...

Embodiment 3

[0079] image 3 is a schematic flowchart of the histogram stretching processing steps in Embodiment 3 of the present invention. Such as image 3 As shown, the histogram stretching processing steps in the embodiment of the present invention specifically include:

[0080] Step S301. Determine the upper and lower boundary values ​​of the histogram components of the image after the defogging process on each color channel.

[0081] In this step, the histogram component H of the dehazed image on each color channel can be calculated first α (α∈{r,g,b}), and then determine the upper and lower boundary values ​​of the histogram components on each color channel. The upper and lower boundary values ​​of the histogram components on each color channel can be expressed as:

[0082]

[0083] Among them, L α Represents the boundary value of the histogram component on the alpha color channel, Represents the lower boundary value (or minimum value) of the histogram component on the α c...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an underwater image enhancement processing method and device, and relates to the technical field of image processing. The method comprises the following steps: step 1, acquiring a to-be-processed underwater image; step 2, performing defogging processing on the to-be-processed underwater image according to a red channel prior defogging theory to obtain a defogged underwaterimage; and step 3, performing histogram stretching on the underwater image after defogging processing to obtain a stretched underwater image. Defogging processing based on a red channel prior theoryis combined with histogram stretching processing, so that the underwater image enhancement processing effect can be improved, the definition of the enhanced image is improved, and the visual experience of a user is improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an underwater image enhancement processing method and device. Background technique [0002] The existing image enhancement processing methods are mainly divided into two categories: the first category is the direct enhancement method, which directly enhances the contrast and brightness of the image, such as the histogram equalization algorithm; the second category is the enhancement method based on the physical model, that is, from Starting from the physical model of the image, the image is enhanced. [0003] The direct enhancement method does not consider the scattering model, and its enhancement results often have certain limitations. For example, although the histogram equalization algorithm restores the contrast of the image, it cannot accurately restore the scene reflection, especially the image area with serious scattering; similarly, the direct enhancemen...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06T5/00
Inventor 张川赵刚
Owner 哈工大机器人(岳阳)军民融合研究院
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More