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

Sonar image fusion method based on extended Piella framework

An image fusion and sonar technology, which is applied in image enhancement, image data processing, instruments, etc., can solve problems such as inconsistency between fusion results and subjective evaluations

Inactive Publication Date: 2015-01-28
HARBIN ENG UNIV
View PDF7 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The document "Non-subsampled Shearwave Domain Adaptive Image Fusion Based on Image Quality Evaluation Parameters" proposes a multi-scale image fusion method based on image quality evaluation parameters, which overcomes the fusion results caused by insufficient consideration of human visual characteristics. Issues inconsistent with subjective evaluation

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
  • Sonar image fusion method based on extended Piella framework
  • Sonar image fusion method based on extended Piella framework
  • Sonar image fusion method based on extended Piella framework

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The present invention will be further described below in conjunction with accompanying drawing:

[0042] The invention relates to an image fusion method based on a Piella frame in the field of sonar image processing. The main steps include: multi-scale decomposition based on gradient pyramid; fusion processing based on extended Piella framework. Firstly, the multi-scale decomposition of the sonar image is carried out through gradient pyramid transformation, and the decomposition coefficients of each layer and direction of the image to be fused are obtained. Then, the fusion process is realized on the decomposition coefficients by combining the extended Piella framework. In the meantime, an extended Piella image fusion framework is proposed, which makes full use of the strong correlation of sonar images and discards the matching measure and decision-making modules, thus effectively simplifying the image fusion process. Based on this extended framework, a multi-resoluti...

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 field of sonar image processing and specifically relates to a sonar image fusion method based on an extended Piella framework. The sonar image fusion method based on the extended Piella framework comprises the steps of (1) initializing parameters and inputting two groups of sonar images to be fused, (2) performing multiresolution conversion on the sonar images to be fused and establishing the respective multiresolution image sequences of the sonar images to be fused, and (3) performing multiresolution inverse transformation on the high frequency sub-bands and low frequency sub-bands of the images to be fused to obtain the final fusion result. The invention firstly provides a fusion method for sonar continuous frame images. Compared with an existing image fusion method, the sonar image fusion method based on the extended Piella framework is remarkably improved in both definition and detail expression of fusion.

Description

technical field [0001] The invention relates to the field of sonar image processing. It specifically relates to a sonar image fusion method based on the extended Piella framework. Background technique [0002] Sonar image fusion is an important branch of sonar image processing. In the application field of digital image processing, a comprehensive analysis of the target object is often required, so it is necessary to fuse multiple images of the same target object. However, because sonar images have the characteristics of weakened edges of imaging objects, low image contrast, non-uniform intensity, and low resolution, it is easy to cause unsatisfactory fusion quality. Therefore, sonar image fusion is one of the difficult problems in digital image processing technology. [0003] G Piella. In the article "A general framework for multiresolution image fusion: from pixels to regions" in Information Fusion in 2003, he analyzed and compared a variety of image fusion algorithms bas...

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): G06T5/50
Inventor 卞红雨王达张志刚张健
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