Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Underwater image restoration method based on scattering model

A scattering model, underwater image technology, applied in image enhancement, image data processing, instruments, etc., can solve the problem of not really proposed underwater image restoration method.

Inactive Publication Date: 2010-11-17
HARBIN ENG UNIV
View PDF5 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Jose P. Queiroz-Neto introduced the light degradation model in the foggy atmosphere underwater, and used it to improve the accuracy of scene structure reconstruction, but did not really propose a practical underwater image restoration method

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 restoration method based on scattering model
  • Underwater image restoration method based on scattering model
  • Underwater image restoration method based on scattering model

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0092] The degraded image in Fig. 1(b) is restored by depth heuristic method and segmented mapping method respectively. The depth heuristic method estimates the depth of scene points by inputting the approximate trend of scene depth (such as the direction of depth increase), and is currently mainly used in the field of atmospheric image denoising. Attempts to use depth heuristics for underwater image restoration. The direction of depth change is defined by the following method: firstly, the vanishing point is set at the minimum value of the image depth, as shown in Figure 1(b), the depth of the scenic spot is proportional to the distance from them to the image vanishing point. Then enter the approximate minimum distance d min and the maximum distance d max , then the scene point depth can be expressed as:

[0093] d=d min +α(d ma x-d min ) (4)

[0094] α∈[0,1] is the relative distance from the image point to the blanking point, when d=d max When α=1; when d=d min , α=...

example 2

[0098] In order to further verify the adaptability of the segmentation mapping method, image restoration with larger distance and larger depth of field is carried out as shown in Figure 8 (a) and (c). Both (a) and (c) in the picture were taken in the indoor pool, the depth of the pool is about 1 meter, and the farthest distance of the scene is about 4 meters to 5 meters. The recovery results are shown in Figure 8(b), (d). The restoration effect of the farthest scene in the two restoration pictures is the best. The suspended cables and sonar equipment are clearly identifiable, especially the light and shadow cast by the room lamp on the pool wall can also be distinguished, and the overall contrast and brightness are improved. improve. However, since the focus of the restoration is on the details of the distant scene, the restoration effect of the near flat area with black dots on a white background is not as good as that in Figure 7(b), and some areas near the bottom of the po...

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 provides an underwater image restoration method based on a scattering model. The restoration process of an underwater degraded image is regarded as the mapping from a degraded pixel gray-scale set to an original (before degradation) pixel gray-scale set, and a mapping function is deduced from an underwater ray propagation model, i.e. a sectional mapping function based on the scattering model. The restoration method mainly comprises the following steps of: 1. calibrating the underwater ray propagation scattering model of a considered water area by adopting a linear fitting method and an average method; 2. summarizing the comprehensive constraint condition of the mapping from the relation between the histograms of images before and after the degradation; and 3. determining a d value in the model according to the constraint condition, and constructing the sectional mapping function. Thus, image restoration can be carried out by utilizing the generated sectional mapping function. The invention can improve the contrast of underwater images and highlights image texture details, thereby improving the image quality and laying a foundation for the popularization of underwater vision.

Description

technical field [0001] The invention relates to a restoration method of an underwater degraded image. Background technique [0002] The filtering methods of visual image noise can be summarized into two types: image enhancement and image restoration. Image enhancement starts from the relationship or characteristics of pixel grayscale in the spatial domain or frequency domain, and directly performs various transformations on the pixel itself to achieve the purpose of removing image blur and increasing image details; image restoration (image restoration) studies the propagation of light in the medium The physical process of light, establish the light propagation model (degradation model), and invert the degradation process to get the image before degradation. The former is widely used in general image denoising because of its remarkable effect and simple implementation. However, it only enhances the image based on the appearance of pixel gray level, and its effect is limited ...

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): G06T5/00
Inventor 边信黔王晓娟徐健张勋张伟严浙平
Owner HARBIN ENG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com