Multi-focus image fusion method with good anti-noise environment effect

A multi-focus image and fusion method technology, applied in the field of image fusion processing, can solve problems such as enhancement, achieve the effect of enhanced connection, high image fusion quality, and small time and space resources

Inactive Publication Date: 2018-11-06
JINGDEZHEN CERAMIC INSTITUTE
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In step S2, according to the focus information, the focus area corresponding to the source image is obtained by matting technology, which enhances the connect

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
  • Multi-focus image fusion method with good anti-noise environment effect

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0045] In order to verify the actual effect of the present invention, the Clock multi-focus image often used in the image fusion method is used, the image size is 256×256, and the gray level is 256, and the fusion simulation experiment is carried out on the fully registered multi-aggregate image, and the Fusion result is compared with original LP transformation method (existing method 1), improved LP transformation method (existing method 2) and improved LP transformation combined with PCNN method (method of the present invention). For the existing method 1 and the existing method 2, the fusion rule of taking the average of the low-frequency coefficients and selecting the high-frequency coefficients according to the maximum modulus value is adopted.

[0046] The result of image fusion using the method proposed by the invention is the closest to the reference image. The more accurate calculation results also confirm this conclusion, as shown in Table 1.

[0047]

[0048] To...

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 multi-focus image fusion method with a good anti-noise environment effect. The method comprises the following fusion methods of S1, obtaining focus information of source images through focus detection; S2, obtaining focus areas corresponding to the source images through utilization of an image matting technology according to the focus information, improving contact between the focus areas and adjacent pixels of the images, and effectively solving the fusion problem of multi-focus images comprising different content in the same scene; and S3, fusing all focus areas toform a fused image. According to the method, detailed detection is carried out on the focus images fully; noises are eliminated; the contact between the focus areas and the adjacent pixels of the images is fully improved; through utilization of a high precise detection algorithm, noise impurities in a fusion process are eliminated; and moreover, the method has the advantages that time and space resources required by computing are few and the image fusion quality is high.

Description

technical field [0001] The invention relates to the technical field of image fusion processing, in particular to a multi-focus image fusion method with good anti-noise environment effect. Background technique [0002] A single sensor of a camera cannot focus on all objects. Therefore, when imaging different objects in the same scene, the camera cannot obtain clear images of all objects in the scene. Multi-focus image fusion technology can fuse multiple images into one image and provide more complete, accurate and reliable information for human observation or subsequent processing by machines. Multi-image fusion algorithms have gained more and more applications in remote sensing image processing, machine vision and other fields. [0003] At present, the research on multi-focus image fusion algorithms is mainly divided into two categories: transform domain fusion and space domain fusion. Most of the existing transform domain fusion algorithms are based on multi-scale transfo...

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
CPCG06T5/50G06T2207/20221
Inventor 王素丽
Owner JINGDEZHEN CERAMIC INSTITUTE
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