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

A multi-exposure image fusion method based on Retinex theory

An image fusion and multi-exposure technology, applied in the field of multi-exposure image fusion based on Retinex theory, can solve problems such as color distortion and loss of details, and achieve the effect of true overall brightness and good visual effects

Inactive Publication Date: 2019-02-01
CHONGQING UNIV OF POSTS & TELECOMM
View PDF2 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the deficiencies of the above-mentioned prior art, the present invention provides a multi-exposure image fusion method based on Retinex theory, which can effectively solve the problems of detail loss and color distortion in the multi-exposure fusion method, and can obtain better visual effects

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
  • A multi-exposure image fusion method based on Retinex theory
  • A multi-exposure image fusion method based on Retinex theory
  • A multi-exposure image fusion method based on Retinex theory

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] specific implementation plan

[0036] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are only some, not all, embodiments of the present invention. Various alternatives and modifications are possible without departing from the spirit and scope of the invention and the appended claims. Therefore, based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0037] figure 1 The flow chart of the multi-exposure image fusion method based on Retinex theory provided by the embodiment of the present invention, such as figure 1 As shown, the image enhancement method of multi-exposure fusion provided by the embodiment comprises the following steps:

[0038] The first step is to ...

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 a multi-exposure image fusion method based on Retinex theory, belonging to the technical field of image processing. The method comprises the following steps: estimating brightness of exposure sequence images according to Retinex theory to generate brightness image Lk and reflectance image Rk of each image; The final brightness image is obtained from the plurality of brightness images Lk and the defined S curve shown in the description; The reflectance image Rk was evaluated to obtain the final reflectance image shown in the description. Then by shown in the descriptionand shown in the description, and then the contrast of the fused image is enhanced by using the automatic color scale method, and the final fused image is obtained. The invention applies Retinex theory to multi-exposure image fusion of static scene, Trying to get the real scene brightness image and reflectivity image from the exposure sequence image can effectively solve the problems of detail loss and color distortion in the traditional multi-exposure fusion method, so that the overall brightness of the final fusion image is more real and the visual effect is better.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a multi-exposure image fusion method based on the Retinex theory. Background technique [0002] The range of brightness variation in real scenes far exceeds the dynamic range of ordinary digital camera imaging, so details in the brightest and darkest areas in high dynamic range scenes (HDR) may not be recorded. In order to perfectly present all the detailed information of realistic scenes, fusing several images with different exposures in the same HDR scene into a high-quality low dynamic range image (LDR) is the solution to this challenge. Using the exposure fusion algorithm, multiple images with different exposures can be directly fused into a high-quality LDR image without generating an intermediate HDR image. Exposure fusion requires neither the same lighting conditions for all LDR images nor knowledge of exposure times. In addition, compared with the high dynamic ...

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): G06T5/50G06T5/00
CPCG06T5/50G06T2207/20192G06T5/70
Inventor 唐宏张雨帅王保群
Owner CHONGQING UNIV OF POSTS & TELECOMM
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