Histogram equalizing method for controlling average brightness

A histogram equalization and average brightness technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as uncontrolled equalization process, failure to meet application requirements, and large average brightness changes

Inactive Publication Date: 2007-10-24
CENT ACADEME OF SVA GROUP
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the histogram equalization technology also has very obvious disadvantages: its equalization result is completely determined by the distribution characteristics of the data, and the equalization process is out of control
The disadvantage of histogram equalization is that the average brightness of the enhanced image tends to the middle value of the brightness value range. When the average brightness of the original image is far away from this value, the average brightness of the enhanced image changes too much, and the overall vision of the image is reduced. Large changes, in many applications do not meet the application requirements

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
  • Histogram equalizing method for controlling average brightness
  • Histogram equalizing method for controlling average brightness
  • Histogram equalizing method for controlling average brightness

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0085] As shown in Figure 1, it is a flow chart of the histogram equalization method for controlling the average brightness provided by the present invention, which includes the following steps:

[0086] Step a), input digital image, if it is a color digital image, you need to extract the brightness value therein according to the color model; if it is a grayscale image, then directly apply the grayscale information as the brightness value;

[0087] Step b), statistical brightness histogram H, set as array H[x], x∈{X j |j=0,1,...,255}, X j =j; j=0 corresponds to extremely black, and j=255 corresponds to extremely white.

[0088] Step c), according to the histogram, calculate the brightness cumulative probability distribution function CDF, set as CDF[x], x∈{X j |j=0,1,...,255}, X j =j; j=0 corresponds to extremely black, and j=255 corresponds to extremely white.

[0089] Step d), calculating the average brightness BA of the input image;

[0090] Step e), calculating the equ...

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 histogram equalizing method for controlling average brightness includes abstracting brightness values of digital image based on color model; calculating brightness, average brightness, equalizing coefficient, etc. based on measuring histogram after statistics; mapping image brightness and reducing digital image. The histogram equalizing method for controlling average brightness of the present invention can control the brightness change caused by histogram equalizing directly and effectively and has saving in storing space.

Description

technical field [0001] The invention relates to a histogram equalization method for controlling average brightness, and the method is applied in the technical fields of still image processing, video image enhancement and the like. Background technique [0002] The histogram is a statistical graph for grouping the output data, which reflects the distribution probability characteristics of the target data. Histogram equalization is a technology that uses the grouping statistical graph to optimize the distribution characteristics. After optimization, the data distribution tends to be evenly distributed. Histogram equalization technique is widely used in image enhancement. [0003] Histogram equalization techniques are disclosed by the following documents: [0004] 1) Two-dimensional Signal and Image Processing, Prentice hall, Englewoodcliffs, New Jersey, 1990 [0005] 2) Digital Image Processing, R.C. Gonzalez, P. Wints, Addison-Wesley, Reading, Massachusetts [0006] 3) Ev...

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 Patents(China)
IPC IPC(8): G06T5/40
Inventor 黄晓东侯钢王国中
Owner CENT ACADEME OF SVA GROUP
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