Low-illumination underwater image enhancement method based on multi-scale detail enhancement

A technology for underwater images and image enhancement, which is applied in the field of image processing and can solve the problems of blurred details and low contrast.

Pending Publication Date: 2021-03-26
TIANJIN UNIV
View PDF10 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Underwater images under low light conditions often have the problem of low contrast and blurred details. To solve this problem, a comprehensive underwater image enhancement algorithm is proposed.

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
  • Low-illumination underwater image enhancement method based on multi-scale detail enhancement
  • Low-illumination underwater image enhancement method based on multi-scale detail enhancement
  • Low-illumination underwater image enhancement method based on multi-scale detail enhancement

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] The invention removes the color cast of the image by improving the color correction coefficient of the gray-scale world algorithm, so that the image has a good visual effect; in addition, the introduced multi-scale detail enhancement algorithm enhances the detail information of the image, and finally improves the color correction and contrast enhancement. Wavelet fusion is performed on the two images to further denoise and enhance the image. . The specific technical solutions are detailed as follows:

[0059] 1 Color Correction

[0060] Because light in different spectral regions decays at different rates in water, with red light attenuating the fastest, followed by green light, and finally blue light, images captured in water typically exhibit a blue-green cast. The gray-scale world method is the most commonly used method to remove color casts in underwater images, which assumes that the average reflection of objects to light is a constant value. Using this assumpti...

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 the technical field of underwater image processing, and provides an underwater image enhancement algorithm under a low illumination condition. Therefore, the technical schemeadopted by the invention is as follows: the low-illumination underwater image enhancement method based on multi-scale detail enhancement comprises the following steps: firstly, removing color cast ofan image by improving a color correction coefficient of a gray world algorithm, so that the image has a very good visual effect; the introduced multi-scale detail enhancement algorithm enhancing the detail information of the image, and finally wavelet fusion being performed on the color-corrected image and the contrast-enhanced image so as to further perform noise reduction and enhancement on theimage. The method is mainly applied to underwater image processing occasions.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a low-light underwater image enhancement method based on multi-scale detail enhancement. Background technique [0002] High-quality underwater images are the basis for accomplishing underwater computer vision tasks. However, due to the low visibility of the underwater environment, especially at night or under low-light conditions with low light, the acquired underwater images often have problems such as color cast, low contrast, and blurred details, which brings great challenges to subsequent research and practical applications. great difficulty. Therefore, the research on underwater image enhancement algorithm under low light conditions has important value and practical significance. [0003] Underwater images under low light conditions often have problems of low contrast and blurred details. To solve this problem, a comprehensive underwater image enhancement algorithm ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/90
CPCG06T5/002G06T7/90G06T2207/10024G06T2207/20064
Inventor 郭继昌张薇
Owner TIANJIN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap