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

Image enhancement method on basis of improved multi-scale Retinex theory

An image enhancement and multi-scale technology, applied in the field of image enhancement of multi-scale Retinex theory, can solve the problems of low contrast, insufficient overall brightness and halo of high dynamic image enhancement

Active Publication Date: 2012-09-19
CHERY AUTOMOBILE CO LTD
View PDF3 Cites 50 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The invention discloses an image enhancement method based on the improved multi-scale Retinex theory, which solves the problems of halo phenomenon generated by the multi-scale Retinex theory method, insufficient overall brightness and low contrast for high dynamic image enhancement

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 on basis of improved multi-scale Retinex theory
  • Image enhancement method on basis of improved multi-scale Retinex theory
  • Image enhancement method on basis of improved multi-scale Retinex theory

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] Below in conjunction with accompanying drawing, the present invention will be further described:

[0062] Embodiment 1 of the present invention proposes an image enhancement method based on an improved multi-scale Retinex theory. Its execution process is as follows:

[0063] The first step: global brightness adjustment. According to the Retinex theory, the Retinex algorithm is suitable for environments where the light changes slowly. In the actual environment, especially for night vision images, it is a high-dynamic image with large local brightness changes. In order to make the Retinex algorithm get a better image enhancement effect and suppress the enhanced halo phenomenon, it is first necessary to adjust the global brightness. In this paper, the image brightness area is divided into bright area and dark area according to the set threshold. The two areas are mapped with different brightness adjustment functions, so that the dynamic range of the darker area and the...

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 on the basis of an improved multi-scale Retinex theory. The method comprises the following steps of: carrying out nonlinear adjustment on the details of dark areas and the brightness of highlighted areas by virtue of a global brightness adjustment function; enhancing an image by virtue of a canonical gain compensation multi-scale Retinex algorithm; and according to the mean brightness value of a selected area, calculating the parameters of an S curve, adaptively adjusting the S curve, and carrying out the procedures of nonlinear mapping and the like on the enhanced image, thus finishing the enhancement on the image. The method disclosed by the invention solves the problems that when the conventional multi-scale Retinex theory method is used, a halo phenomenon is caused, the overall brightness of an enhanced high dynamic range image is insufficient, and the contrast ratio of the image is low. According to the invention, the S curve is self-adaptively adjusted according to the brightness of the central area of the image, and then the nonlinear mapping is performed on the image, so that the gradation of the image is stretched, and the contrast ratio of the image is improved; and the robustness of the algorithm on a complex night vision image is improved.

Description

technical field [0001] The invention belongs to the field of night vision image enhancement, and in particular relates to an image enhancement method based on an improved multi-scale Retinex theory. Background technique [0002] About 75% of the information people get from the outside world comes from video images. However, when the camera is shooting, due to insufficient night light conditions, heavy fog, heavy rain, sand and dust and other severe weather conditions, the images captured by the camera are often severely degraded, resulting in a decline in image quality, blurring, and low contrast. There are two types of methods for processing images degraded by severe weather using digital image processing technology: image enhancement and image restoration. Image restoration refers to the process of removing or minimizing known degradations or portions of known degradations in an image. Image restoration includes deblurring of degraded images due to sensor or environmenta...

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 陈军
Owner CHERY AUTOMOBILE CO LTD
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