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

Best quality image acquiring method in bottom layer image mining

A technology for image quality and image quality evaluation, which is used in image analysis, image data processing, instruments, etc.

Inactive Publication Date: 2009-04-29
CHONGQING MEDICAL UNIVERSITY
View PDF1 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, at home and abroad, how to directly obtain the best quality images in mining has become an unsolved problem for human beings.

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
  • Best quality image acquiring method in bottom layer image mining
  • Best quality image acquiring method in bottom layer image mining
  • Best quality image acquiring method in bottom layer image mining

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] Below in conjunction with accompanying drawing and embodiment the present invention will be further described:

[0038] Realize the flow chart of the inventive method as figure 1 As shown, the specific steps are as follows:

[0039] (1) Detect the gray spectrum distribution of the source image, determine the convex gray spectrum distribution, then determine the left boundary value GLeft, the right boundary value Gright and the peak value PG of the source image gray spectrum, and calculate the gray spectrum of the image Continuous bandwidth BW; such as figure 2 It can be clearly seen that the gray spectrum of this embodiment has a convex spectral distribution.

[0040] The detection method for image gray spectrum used in the step (1) of the present invention (this method is recorded in the invention patent with the patent number ZL200610054324.9) has a powerful underlying image information mining function, and has a pixel visualization The accuracy is unmatched by ge...

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

A method for obtaining an optimum quality image from lower layer image mining comprises the following steps: (1) detecting the gray level spectrum distribution of a source image, determining the convex gray level spectrum distribution, and then determining a left boundary value GLeft, a right boundary value Gright and a peak value PG of the gray level spectrum of the source image, and computing a gray level spectrum continuous bandwidth (BW) of the image; (2) establishing an image quality assessment function NR-IQAF; (3) performing the lower layer image mining and computing the value of the assessment function NR-IQAF; and (4) taking the image which is mined by the mining parameters, theta and delta corresponding to the maximum value of the image quality assessment function NR-IQAF in the step (3) B according to a lower layer image mining formula in the step (3) as the optimum quality image. The method can help the image with the convex gray level spectrum distribution of the source image to quickly obtain the optimum quality image in the objective sense in the process of the lower layer image mining, and the image taken under an image-taking condition with very weak light can obtain the optimum image of a clear objective natural scene by the method.

Description

technical field [0001] The invention belongs to the fields of computer digital image processing and optomechanical integration. Background technique [0002] The underlying image mining technology converts information that is not available to human vision into visually usable information, which can be used to mine image information captured under harsh conditions, such as car hit-and-run, and information hidden in monitoring images of financial institutions. However, in the mining process, it is time-consuming and labor-intensive because it is impossible to judge what mining parameters are used to mine the best image quality, and the so-called best-quality images obtained by mining depend on the subjective feelings of different individuals, and are not the best quality in the objective sense. image. Therefore, in practice, repeated mining has to be carried out so that the mined image information can achieve the best quality of human vision. At present, how to directly obta...

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): G06T7/00
Inventor 谢正祥王志芳刘玉红胡琴
Owner CHONGQING MEDICAL UNIVERSITY
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