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

Image enhancement method based on black-white-color binocular camera

A binocular camera and image enhancement technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems that are difficult to be practically applied to black-and-white-color image processing, high time complexity, etc., to improve image sharpness, suppress Image noise, the effect of enhancing image details

Inactive Publication Date: 2019-12-17
长沙市军英电子科技有限公司
View PDF7 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is: for the high time complexity of accurate disparity estimation, which is difficult to be practically applied to the processing of black and white-color images, the present invention proposes an image enhancement method based on black-and-white-color binocular cameras

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 enhancement method based on black-white-color binocular camera
  • Image enhancement method based on black-white-color binocular camera
  • Image enhancement method based on black-white-color binocular camera

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] Below in conjunction with accompanying drawing, the present invention is described in detail, as Figure 4 As shown, a kind of image enhancement method based on black-and-white-color camera provided in this embodiment comprises the following steps:

[0041] Step 1: Use the black-and-white-color binocular camera system to acquire a set of black-and-white-color images. The original black-and-white images and black-and-white images in this experiment are as follows: Figure 5 , Figure 6 As shown, the image size is 3968×2976;

[0042] Step 2: Select the appropriate feature points in the black-and-white image, and match the feature points of the black-and-white image in the color image. The specific steps are: first, extract the feature points from the black-and-white image. The feature points extracted in this experiment are as follows: Figure 7 shown. Then, match the feature points in the black and white image with the matching points in the color image, the matching ...

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 an image enhancement method based on a black-white-color binocular camera. The problem of multispectral image enhancement is converted into the problem of low-rank matrix filling. Aiming to solve the problem that accurate stereo matching can cause high time complexity and is difficult to apply, an image enhancement method based on a black-and-white-color camera is provided,black-and-white image feature points and a color image are matched, color values of matching points in the color image are regarded as color values of the black-and-white image feature points, and the color of the black-and-white image is recovered through pixel points with known color values by means of a low-rank matrix filling method. According to the method, the operation efficiency can be effectively improved, the image sharpness is improved, the image details are enhanced, the image noise is inhibited, and the method has very important significance in the field of image processing.

Description

Technical field: [0001] The invention mainly relates to the field of digital image processing, in particular to an image enhancement method based on a black-and-white-color binocular camera. Background technique: [0002] Compared with monocular cameras, binocular cameras can break through the physical limitations of optics and sensors, and reconstruct an image with better image quality and higher image resolution through redundant complementary information between two images, thus Get more scene information. Due to these advantages, binocular cameras are showing a tendency to replace monocular cameras and occupy a dominant position in the market. [0003] Common binocular camera systems can be roughly divided into two types, one is composed of two color cameras with different focal lengths, and the other is composed of two cameras in different domains such as color, near-infrared or black and white. Since the commonly used CCD color camera uses a color filter array (color...

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): G06T5/00G06T7/90
CPCG06T7/90G06T2207/10024G06T5/90G06T5/73G06T5/70
Inventor 周经建
Owner 长沙市军英电子科技有限公司
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