Self-adapting image enhancement method

An image enhancement and self-adaptive technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of complex calculation, easy amplification of noise, unsatisfactory image enhancement effect, etc., to achieve simple calculation, suppress noise, good brightness and The effect of contrast

Active Publication Date: 2012-01-11
长春光机科技发展有限责任公司
View PDF4 Cites 40 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] In order to overcome the limitations of existing image enhancement methods, such as unsatisfactory enhancement effects on partial dark and bright images, easy amplification of noise, and complex calculations, the present i...

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
  • Self-adapting image enhancement method
  • Self-adapting image enhancement method
  • Self-adapting image enhancement method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The flow chart of the present invention is as figure 1 As shown, it includes steps: 1. Set the threshold according to the gray scale range of the image; 2. Perform automatic level enhancement for images smaller than the threshold; 3. Enhance methods based on histogram equalization and inverse equalization transformation for images larger than the threshold.

[0030] Each step is as follows:

[0031] Step 1: Set the threshold according to the gray scale range of the image

[0032] All images can be divided into low-contrast images and high-contrast images according to their gray scale range, and high-contrast images include bimodal images, that is, partially dark and partially bright images. Set an appropriate threshold k d , the number of grayscale pixels greater than 20 is regarded as an effective grayscale, and the maximum grayscale k is obtained according to the effective grayscale max and minimum gray level k min , when the gray level difference k max -k min l...

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 provides a self-adapting image enhancement method, belonging to the digital image processing technology field. The self-adapting image enhancement method comprises the following steps: setting a threshold according to a gray level scope of an image; carrying out automatic color interval enhancement if contrast is smaller than the threshold; carrying out method enhancement based on histogram equalization and anti-equalization transformation if the contrast is larger than the threshold. According to the self-adapting image enhancement method, an image with low contrast can be enhanced, images with part excessive dark and part excessive bright can be enhanced, robustness is strong, and the image after enhancement has a better visual effect.

Description

technical field [0001] The invention relates to an adaptive image enhancement method. It belongs to the technical field of digital image processing. Background technique [0002] Image enhancement is mainly to enhance the brightness and contrast of the image to highlight the required information. Image enhancement is an important means to improve image quality and visual effects, and provides good conditions for image subsequent processing and video tracking. With the rapid development of multimedia digital video technology, image enhancement has become an important issue. [0003] At present, there are many image enhancement methods, mainly including spatial domain method and frequency domain method. The spatial domain method mainly includes grayscale transformation, histogram equalization, Laplace sharpening, etc.; the frequency domain method mainly includes homomorphic filtering, wavelet transform, etc. The details of these methods are as follows: [0004] (1) Graysc...

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): G06T5/00
Inventor 韩希珍赵建
Owner 长春光机科技发展有限责任公司
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
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