Weighted fusion-based underwater image enhancing method

An underwater image and weighted fusion technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of high computational complexity, large noise, and easy noise, and achieve good sensitivity, rich colors, and high brightness. uniform effect

Inactive Publication Date: 2017-07-25
TIANJIN UNIV
View PDF1 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In 2011, Zhang Kai et al. [3] equated the water body scattering effect to the change of ambient light. Through the multi-scale Retinex algorithm processing under the brightness channel of the underwater color image, the water body scattering effect can be reduced and the image contrast can be improved. However, the algorithm Noise is prone to appear in the background area of ​​the image
In 2012, Chiang[4] proposed an underwater image enhancement algorithm based on wavelength co

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
  • Weighted fusion-based underwater image enhancing method
  • Weighted fusion-based underwater image enhancing method
  • Weighted fusion-based underwater image enhancing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0056] In order to improve the clarity of underwater images, the embodiment of the present invention proposes an underwater image enhancement algorithm based on weighted fusion (Enhancing Underwater Images based on Weighted Fusion, EUIWF). Compared with other existing enhancement algorithms, this algorithm is Simple pixel operation, concise and clear, does not require complicated deconvolution operations, and reasonable selection of weights makes the image have richer details on the basis of color correction.

[0057] 101: The degraded underwater image is processed by Gray-World (grayscale world) and histogram equalization respectively to obtain the input image;

[0058] 102: Through normalization processing, the method of weighted guided filtering is used to realize the definition of the weight factor, and the weight factor is corrected to obtain the corrected weight map;

[0059] 103: Use the Laplacian pyramid to decompose each input image separately, and use the Gaussian py...

Embodiment 2

[0062] The scheme in embodiment 1 is further introduced below in conjunction with specific calculation formulas and accompanying drawings, see the following description for details:

[0063] The embodiment of the present invention fuses the input image and the weight map based on the fusion method of Ancuti. In the basic fusion method, the weight plays an important role, and it has a decisive effect on the clarity, saliency and contrast of the image. Therefore, the results obtained by simply normalizing the four weight maps and directly adding them cannot Weighing which of the four features of the pixel is more dominant, the feature information of the image cannot be reasonably allocated, so that the image loses some details. In order to obtain an image with rich details, the embodiment of the present invention corrects the weight map as follows:

[0064] m_W 1 =a_1*n_W LC 1+b_1*n_W S 1+c_1*n_W E 1 (7)

[0065] m_W 2 = a_2*n_W LC 2+b_2*n_W S 2+c_2*n_W E 2 (8)

[006...

Embodiment 3

[0079] The scheme in embodiment 1 and 2 is carried out feasibility verification below in conjunction with specific example, see the following description for details:

[0080] In order to verify the effect of the algorithm, the enhanced image is processed by applying the above-mentioned algorithm to the underwater image. The underwater images are all color images, so the three channels of R, G, and B are calculated separately during fusion. In order to compare the image quality of the weighted fusion algorithm, the embodiment of the present invention will be compared with the existing algorithms, for example, the underwater enhancement algorithm based on dehazing processing [2], the enhancement method based on Retinex [6], and the basic fusion Algorithm [7].

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 discloses a weighted fusion-based underwater image enhancing method. The underwater image enhancing method comprises the following steps of subjecting a degraded underwater image to the equalization treatment by using Gray-World and histogram respectively so as to obtain an input image; through the normalization treatment, defining a weight factor through the weighted guide filtering method, and correcting the weight factor to obtain a corrected weight graph; decomposing each input image respectively through a laplacian pyramid, and decomposing each weight graph through a gaussian pyramid, and finally fusing the input image and the weight graph through the multi-scale fusion method to obtain an image rich in details. Based on the method, the complicated deconvolution operation is not required, and weights are reasonably selected. Therefore, the image is richer in details on the basis of color correction.

Description

technical field [0001] The invention relates to the field of image fusion underwater image enhancement, in particular to an underwater image enhancement method based on weighted fusion. Background technique [0002] Underwater image enhancement technology is an important part of obtaining marine information, and it is also an important technology for completing underwater operations. Due to the attenuation effect of light transmission in water, red light attenuates the fastest, blue-green light attenuates the slowest, and suspended matter in water will cause multiple scattering of light in water, forward scattering causes image blur, and back scattering causes image blurring. The contrast decreases. Therefore, the underwater image will show a blue-green tone with low contrast and clarity, which will affect the progress of underwater exploration. The existing underwater image enhancement technology is still immature and needs further in-depth exploration. [0003] As early a...

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
CPCG06T5/003G06T2207/10024G06T2207/20221
Inventor 徐岩孙美双曾祥波
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