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

Image enhancement method based on non-linear guiding filtering

A technology of guided filtering and image enhancement, which is applied in the field of image processing and can solve problems such as images that cannot be well filtered, Gaussian noise, etc.

Active Publication Date: 2015-12-23
CHANGZHOU INST OF TECH
View PDF9 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the algorithm uses a local linear model to represent filtering. In many applications, there are other types of noise besides Gaussian noise. At this time, the local linear model cannot filter the image very well, and nonlinear filtering needs to be considered

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 non-linear guiding filtering
  • Image enhancement method based on non-linear guiding filtering
  • Image enhancement method based on non-linear guiding filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0025] An image enhancement method based on nonlinear guided filtering, the steps comprising:

[0026] 1) Original image preprocessing: In order to improve the calculation speed, the image is first sub-sampled;

[0027] 2) Constructing a nonlinear guided filter: the key to construct a guided filter is to find the nonlinear relationship between the guided filter and the input image or the guided image, let I be the input image, g be the guided image, I out is the image after guided filtering, and the nonlinear guided filtering at point s uses a window w centered at point s s The nonlinear representation of the input pixels in is as follows: I out (s) = a s I 2 (k)+b s I(k)+c s ,k∈w s , if the coefficient a s is 0, the nonlinear guided filter degenerates into a linear guided filter;

[0028] 3) Calculating the coefficients of nonlinear...

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 non-linear guiding filtering, and belongs to the technical field of image processing. Through establishing a local non-linear guiding filtering model, a corresponding guiding filtering coefficient is solved. In order to further improve efficiency and reduce time complexity, non-linear guiding filtering is performed after subsampling of an image, and then the size of the image is recovered to size of an original image through a bilinear interpolation method. The method can be applied in various different computer vision fields, such as image smoothing, image detail enhancement, HDR image compression, and fog elimination and balancing and other operation, and meanwhile an algorithm is simple and efficient in calculation, and good in realization.

Description

technical field [0001] The invention relates to image processing technology, in particular to an image enhancement method based on nonlinear guided filtering. Background technique [0002] With the development of modern technology and the increasing popularity of portable devices, it is very easy for people to obtain scene images, and gradually put forward higher requirements for imaging quality. However, due to the influence of various factors, the quality of the obtained image is often degraded. In order to improve the quality of the image and enhance the visual effect of the image, it is necessary to perform some image enhancement operations on the degraded image, such as image smoothing, image sharpening, and detail enhancement. and remove smog etc. [0003] For images affected by different factors, there are many representative algorithms for enhancement processing. Noise is an important factor affecting image quality. According to different noise characteristics, res...

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): G06T5/00
Inventor 相入喜朱锡芳吴峰许清泉孟飞张美凤蔡建文夏靖杰
Owner CHANGZHOU INST OF TECH
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