Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Image Fusion Method Based on Contrast Analysis

An image fusion and contrast technology, applied in the field of image processing, which can solve the problems of too dark area, overexposure of brightness enhancement, ratio stretching and so on.

Active Publication Date: 2019-05-21
卡本(深圳)医疗科技有限公司
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the enhanced image has some defects, such as the loss of some detail information, overexposure caused by too much brightness enhancement, and some areas are too dark due to contrast stretching, 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 Fusion Method Based on Contrast Analysis
  • Image Fusion Method Based on Contrast Analysis
  • Image Fusion Method Based on Contrast Analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] Preferred embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein.

[0038] A kind of image fusion method based on contrast analysis, it comprises the following steps:

[0039] Step 1: respectively constructing the morphological gradient map of the input image and its enhanced image; (the enhanced image can be: an enhanced image for the target, edge, resolution, contrast, etc.)

[0040] Step 2: Subtract the morphological gradient maps of the input image and its enhanced image to obtain the contrast difference map of the input image before and after enhancement;

[0041] Step 3: Construct a fusion coefficient matrix according to the contrast difference map;

[0042] Step 4: Complete the fusion of...

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

An image fusion method based on contrast analysis comprises the following steps of: 1, constructing the morphological gradient graph of an input image and the morphological gradient graph of an enhanced image of the input image separately; 2, subjecting the morphological gradient graphs of the input image and the enhanced image thereof to subtraction to obtain a contrast difference graph of the unenhanced and enhanced input images; 3, creating a fusion coefficient matrix according to the contrast difference graph; and 4, fusing the input image and the enhanced image thereof according to the fusion coefficient matrix, subjecting fused processed image pixels to range control in order that the pixels are within a reasonable image range and are output. The single-graph fusion of the present invention aims at the fusion of the input image and the enhanced image thereof which have the same image information essence and is not fusion of different images. The image output by the image fusion method has uniform grayscale distribution and has completely retained details. The method is effective on not only grayscale images, but also color images, and is higher in fidelity of the restoration of the color images in associated color channels.

Description

technical field [0001] The invention relates to an image processing method, in particular to an image fusion method based on contrast analysis. Background technique [0002] Image enhancement is an essential part of image processing. Whether it is the frequency domain processing method or the spatial domain method, the main function is to emphasize the overall or local characteristics of the image purposefully, to make the original unclear image clear or to emphasize some interesting features, and to expand the different objects in the image. The difference between features suppresses uninteresting features to improve image quality and enrich information. [0003] However, the enhanced images have some defects, such as the loss of some detail information, overexposure caused by excessive brightness enhancement, and partial dark areas caused by contrast stretching. Contents of the invention [0004] The purpose of the present invention is to provide a method for enhancing...

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 Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/002G06T2207/20036G06T2207/20221
Inventor 章世平王晓芳
Owner 卡本(深圳)医疗科技有限公司
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
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