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

Real-time enhancement method of low-illumination image

A low-illumination, image technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of low-illumination image noise reduction and low real-time contrast, and achieve the effect of saving internal overhead, simple control, and saving IO overhead.

Inactive Publication Date: 2016-12-07
CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
View PDF2 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention proposes a real-time enhancement method for low-illuminance images in order to solve the problems of real-time noise reduction in low-illuminance images and low contrast after perfecting noise reduction

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
  • Real-time enhancement method of low-illumination image
  • Real-time enhancement method of low-illumination image
  • Real-time enhancement method of low-illumination image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0051] Embodiment: The implementation of the present invention uses a CIS411 model camera as the imaging component, and configures the detector in a low-light environment provided by the laboratory. The output frame rate is 50fps, and the pixel output rate is 22.5Mpixel / s.

[0052] The output of the imaging device is 768*576 effective pixels, the gray scale is 10bit, and the maximum gray scale is 1023.

[0053] The energy accumulation module takes 4 frames of images as an accumulation unit, and develops 4 RAMs with a size of 768*576*10bit inside the FPGA, storing the n, n+1, n+2, and n+3 frames of images respectively, and completing 4 frames After the image is stored, the pixel values ​​at the same position in each frame image are read at the same time for accumulation, and then the result is stored in the corresponding position of the nth frame to overwrite the original pixel value.

[0054] The histogram equalization module operation is implemented in two steps:

[0055] Th...

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 relates to a real-time enhancement method of a low-illumination image and belongs to the embedded image processing technical field. With the method adopted, the problems of low noise reduction instantaneity and low contrast after noise reduction of a low-illumination image in the prior art can be solved. The method is realized based on an image processing unit and a driving signal control unit, wherein the image processing unit and the driving signal control unit are completed by the same FPGA; the driving signal control unit controls a low-luminance camera to carry out output at a highest frame frequency; the image processing unit processes a received original image; and the image processing unit is composed of an energy accumulation module and a histogram equalization module. According to the method, the signal-to-noise ratio of the image is improved through the energy accumulation module, and the contrast of the image is improved through the histogram equalization module. The method has a real-time processing characteristic and can meet requirements of a condition that the low-luminance camera works at 50pfs.

Description

technical field [0001] The invention belongs to the technical field of embedded image processing and relates to a method for real-time enhancement of low-illuminance images. Background technique [0002] According to the characteristics of low-light video images, scholars at home and abroad have proposed many noise reduction and image enhancement methods. Most algorithms focus on how to improve the contrast and brightness of low-light images, but there are relatively few algorithms on how to deal with noise. In fact, the signal-to-noise ratio of low-light images is very low. If the noise of the image is not reduced first, the effect of directly enhancing the contrast and brightness is very limited. [0003] The image noise reduction methods for low illumination can be divided into single-frame image processing and multi-frame image processing methods. Noise reduction algorithms based on single-frame images are difficult to obtain better results. For example, image noise r...

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): G06T5/00G06T5/40
CPCG06T5/40G06T2207/20182G06T5/70
Inventor 张宇刘磊张星祥陈天明苗壮
Owner CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
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