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

Image registration, interpolation and denoising-based image enhancement method

An image registration and image enhancement technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as image distortion, image blur, and image contrast reduction

Active Publication Date: 2016-05-25
TONGJI UNIV
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the process of image formation, transmission or transformation, due to the influence of some objective factors, the image will be distorted, such as image contrast reduction and image blur, etc.

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
  • Image registration, interpolation and denoising-based image enhancement method
  • Image registration, interpolation and denoising-based image enhancement method
  • Image registration, interpolation and denoising-based image enhancement method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0055] like Figure 4 As shown, an image enhancement method based on image registration, interpolation and denoising includes the following steps:

[0056] S1, obtain a main image and multiple sub-images, where the pixels of the main image are larger than the pixels of the sub-image, and one main camera and multiple sub-cameras can be used to take pictures of the object, that is, the technical requirements of the sub-camera are lower than those of the main camera, thereby reducing image acquisition cost;

[0057] S2, taking the main image as a reference, using a surf operator to register each sub-image with the main image respectively;

[0058] In the process of color matching, the surf operator is used to determine the used image and each pixel area of ​​color matching, and these areas are matched one by one, and then the RGB color area of ​​the image is converted to the LAB color area that is more suitable for human eyes to recognize , to obtain a three-dimensional matrix, a...

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 an image registration, interpolation and denoising-based image enhancement method. The method includes the following steps that: S1, a main image and a plurality of auxiliary images of the same object are obtained, and the resolution of the main image is higher than that of the auxiliary images; S2, with the main image adopted as reference, each auxiliary image is registered with the main image; S3, color matching is performed on the main image and the registered auxiliary images; S4, interpolation operation is performed on the auxiliary images, and the auxiliary images are magnified; and S5, bilateral filter denoising is performed on the main image by using the magnified auxiliary images obtained in the step S4, so that an enhanced main image can be obtained. Compared with the prior art, and according to the image enhancement method of the invention, the image information of the plurality of images is utilized, and the image information is enriched by using image interpolation in an image enhancement process, so that high feasibility can be achieved; the obtained image has high accuracy and high resolution; and the method has a wide application range.

Description

technical field [0001] The invention relates to an image enhancement method, in particular to an image enhancement method based on image registration, interpolation and denoising. Background technique [0002] With the development and progress of science and technology, it has become possible to obtain a large number of images from various imaging devices, Internet networks or image databases, so people's requirements for image processing (Feature Extraction and Image Processing) are getting higher and higher, and image processing technology has been in-depth and extensive. and rapid development. In image processing, image enhancement is used to improve image quality, enrich information, and enhance image interpretation and recognition effects by making the original unclear image clear or emphasizing certain features of interest and suppressing features of no concern. Processing can help us accurately grasp the information reflected in the image. In view of this fact, it h...

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): G06T5/00G06T3/00
CPCG06T2207/10024G06T2207/20182G06T2207/30004G06T2207/30108G06T2207/30212G06T3/14G06T5/70
Inventor 郑思明赵生捷江鹏辉
Owner TONGJI 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