A Dynamic Range Compression Method for Infrared Image Detail Enhancement

A dynamic range compression, infrared image technology, applied in the field of image processing, can solve problems such as loss, and achieve the effect of improving display contrast, improving overall image clarity, and enhancing detailed information

Active Publication Date: 2021-03-02
浙江黑卡电气有限公司
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, histogram equalization will enhance the image and noise composed of pixels with high probability density at the same time, while the target and details with low probability density will be suppressed or even lost.

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 Dynamic Range Compression Method for Infrared Image Detail Enhancement
  • A Dynamic Range Compression Method for Infrared Image Detail Enhancement
  • A Dynamic Range Compression Method for Infrared Image Detail Enhancement

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention.

[0061] Such as Figure 1-2 As shown, a dynamic range compression method for infrared image detail enhancement, comprising the following steps:

[0062] (1) Statistically input the histogram of the AD value of the infrared image; statistically input the gray level X of the AD value of the infrared image k The number of occurrences, denoted as H(X k ). Where k is the index number, k=0, 1, 2, ..., L-1, X k Indicates the kth gray level of the image to be processed. L is the total number of gray levels in the image, when the data width is 14 bits, L=2 14 =16384.

[0063] (2) Find the maximum AD value X with the number of pixels in the histogram greater than 0 max with minim...

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 present invention relates to the technical field of image processing, and in particular discloses a dynamic range compression method for infrared image detail enhancement, which includes the following steps: counting the histogram of the AD value of the input infrared image; finding the maximum AD value whose number of pixels in the histogram is greater than 0 x max with minimum AD value X min ; Calculate the mapped minimum AD value X s0 ; Calculate the mapped maximum AD value X s5 ; Find [X in the histogram s0 , X s5 ] The AD value X with the largest number of pixels in the interval p1 ;(6) from X p1 to x s0 Search for the AD value X of the lower boundary of the main area 1 s1 ; from X p1 to x s5 Search the upper boundary AD value X of the main area 1 s2 ; Find [X in the histogram s2 , X s5 ] The number of pixels in the interval is at most AD value X p2 ; from X p2 to x s2 Search for the AD value X of the lower boundary of the main area 2 s3 ; from X p2 to x s5 Search the upper boundary AD value X of the main area 2 s4 ;Calculate the number of ADs in the main area and the number of ADs in the transition area; calculate the number of gray levels mapped in the transition area; calculate the number of gray levels mapped in the main area 1; calculate the number of gray levels mapped in the main area 1; calculate the corresponding gray levels of the corresponding AD values; input The AD value of the infrared image is mapped to [Y s0 , Y s5 ] range gray value and display it on the display device.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a dynamic range compression method for infrared image detail enhancement. Background technique [0002] In the application scene of infrared thermal imaging, when low temperature and high temperature objects exist at the same time, the overall dynamic range from the lowest temperature to the highest temperature of the thermal radiation is relatively large, but the temperature distribution in the local area of ​​the object is relatively moderate, and the temperature difference is generally relatively small. In order not to lose the small changes of the temperature signal and take into account the large dynamic range, the high-performance infrared imaging system usually uses 14-bit or higher A / D to sample the output signal of the infrared detector, so as to preserve the detailed information in the scene to the greatest extent. Since the display device generally uses 8-bit ...

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): G06T5/00G06T5/40G06T9/00
CPCG06T5/008G06T5/40G06T9/00
Inventor 陈瑛
Owner 浙江黑卡电气有限公司
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