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

Exposure algorithm applied to multi-lens sensor

A sensor and multi-lens technology, applied in the field of exposure algorithms of multi-lens sensors, can solve the problems of infinite loop iteration and no clear standard for the algorithm iteration process.

Pending Publication Date: 2018-01-16
土豆数据科技集团有限公司
View PDF6 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There is no clear standard for the iterative process of this algorithm, which may lead to an infinite loop of iteration

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
  • Exposure algorithm applied to multi-lens sensor
  • Exposure algorithm applied to multi-lens sensor
  • Exposure algorithm applied to multi-lens sensor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] In order to further illustrate the technical means and effects adopted by the present invention to achieve the intended purpose, the specific implementation, structural features and effects of the present invention will be described in detail below in conjunction with the accompanying drawings and examples.

[0033] Based on the automatic exposure algorithm based on image entropy, the algorithm in this paper adds a curve fitting method, which greatly improves the efficiency of the original algorithm.

[0034] Information entropy:

[0035] The concept of information entropy was proposed by Shannon, which is defined as the probability that discrete events occur. Calculated as follows:

[0036]

[0037] Among them, x represents a random variable, and p(x) represents an output probability function. When the uncertainty of the variable x is greater, the entropy value is also greater.

[0038] Introduce information entropy into image processing to derive image entropy. ...

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 belongs to the field of image processing, and specifically relates to an exposure algorithm applied to a multi-lens sensor. The exposure algorithm comprises the steps of 1, calculating the image entropy C and the current exposure time T of an image after the image photographed by the multi-lens sensor is read; 2, comparing the image entropy C obtained in the step 1 with a set value A, and determining that the image exposure is normal if the image entropy C is greater than or equal to the set value A; otherwise, turning to the step 3; and 3, calculating the average grey value V ofthe image, comparing the average grey value V with a set value B, and sending the reduced or increased exposure time T to the multi-lens sensor, and turning to the step 1 to enable the multi-lens sensor to photograph a new image again. The algorithm can keep the overall brightness level of the image in an appropriate scope.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to an exposure algorithm applied to a multi-lens sensor. Background technique [0002] In the process of image information collection, factors such as the external environment and equipment functions have a bad influence on the quality of the obtained image, and sometimes even a large amount of information is lost. For this reason, digital image preprocessing is used as a preliminary technology to ensure and improve the image quality in the early stage, and provide high-quality information sources for follow-up work. Therefore, the performance of the digital image preprocessing algorithm has a decisive influence on the quality of the final image. [0003] In general, the various automatic exposure algorithms currently proposed play a certain role in specific application environments. However, it is difficult to have a universal automatic exposure camera for its accurate...

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): H04N5/235
Inventor 王江安罗青安王长亮
Owner 土豆数据科技集团有限公司
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