Face image fuzziness computing method and device

A face image and fuzziness technology, applied in the field of image processing, can solve problems such as inaccurate evaluation results

Active Publication Date: 2016-08-24
SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, if the image blurriness evaluation method based on the local gradient anal...

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
  • Face image fuzziness computing method and device
  • Face image fuzziness computing method and device
  • Face image fuzziness computing method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0065] figure 1 A schematic flow chart of a method for calculating the blurriness of a human face image provided by an embodiment of the present invention, the method includes the following steps:

[0066] S101. Calculate the local gradient value of each pixel point in the image, and perform normalization processing on the local gradient value of each pixel point.

[0067] The local gradient value of each pixel point in the image refers to the gradient value of pi...

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 embodiment of the invention discloses a face image fuzziness computing method and device which prevent a high local gradient value due to strong light by normalizing the local gradient value of each pixel, which prevent an increase in the local gradient value due to plenty of background texture by assigning different weighted values to pixels of a face or background; and which prevent influence of the noise of image acquisition equipment on fuzziness evaluation by introducing gradient density. The method may overcome influence of light change and the noise of background and acquisition equipment, objectively and accurately evaluate image quality, and is good in robustness.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method and device for calculating the fuzziness of a human face image. Background technique [0002] The face image is used as the input of face recognition, and its quality has a great influence on the recognition result. Before face recognition, it is necessary to evaluate the quality of the face image, identify poor quality images, repair the image, improve the quality, or discard the image and obtain a better quality image as input. [0003] The more commonly used method in image quality evaluation is to calculate the blur of the image. At present, there are mainly two kinds of objective evaluation methods for the evaluation of image blur. The first type is the full-reference evaluation method, that is, the original image before degradation is used as a reference, and the image before and after degradation is compared for blur evaluation. This type of met...

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): G06T7/00
CPCG06T7/0002G06T2207/30168G06T2207/30201
Inventor 张兆丰田第鸿
Owner SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap