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Adaptive enhancement method and device for monitored video

A technology for self-adaptive enhancement and monitoring video, which is applied in the parts of color TV, TV system, TV, etc. It can solve the problems of complex working application scenarios of video monitoring system, and achieve the effect of improving image quality and optimizing processing.

Inactive Publication Date: 2013-01-23
CHENGDU WESTIMAGE TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a monitoring video self-adaptive enhancement method and device, in order to adapt to the characteristics of complex working and application scenarios of the video monitoring system, which are easily affected by various external factors, and adaptively identify various interferences received by the monitoring system, Then improve the quality of the surveillance video image and optimize the effect of the surveillance video

Method used

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  • Adaptive enhancement method and device for monitored video
  • Adaptive enhancement method and device for monitored video
  • Adaptive enhancement method and device for monitored video

Examples

Experimental program
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Effect test

Embodiment 1

[0068] The position of the self-adaptive enhancing device of monitoring video of the present invention in the system is as follows figure 1 As shown, the adaptive enhancement device performs adaptive judgment on the original image data output by the camera, performs corresponding processing, and then outputs the processed target image data to the monitor. The original image in this embodiment is in YUV format.

[0069] The structure of the self-adaptive enhancing device of monitoring video described in the present invention is as follows: figure 2 As shown, it is composed of a brightness judgment module 21, a haze judgment module 22, a noise judgment module 23, a brightness processing module 24, a haze processing module 25 and a noise processing module 26.

[0070] The structure of brightness judging module 21 is as image 3 As shown, it consists of a brightness average calculation unit 211 and a brightness processing judgment unit 212 .

[0071] The mean brightness calcul...

Embodiment 2

[0141] Based on the device described in Embodiment 1, in this embodiment, the overall flow chart of the adaptive enhancement method for surveillance video is as follows Figure 10 As shown, the steps are as follows:

[0142] Step 1: Original image input, sending the video image collected by the front end to the adaptive enhancement device for monitoring video described in Embodiment 1.

[0143] Step 2: judging whether brightness processing is required, and judging whether the brightness of the input video image needs to be processed. If it is judged that brightness processing is required, proceed to step 3, and perform brightness processing on the video image; otherwise, proceed to step 4, and judge whether the video image needs haze removal processing.

[0144] Step 3: Luminance processing, performing luminance processing on the video image judged to need luminance processing in step 2, after the processing is completed, enter into step 6, and judge whether the video image n...

Embodiment 1）

[0174] Step 6: Calculate the gamma correction function according to the brightness level of the image calculated in step 3, so as to generate the mapping table g(X ij ) (see Example 1 for the calculation method):

[0175] Step 7: Perform enhancement processing on the video image according to the mapping table generated in Step 6.

[0176] The flow of haze treatment steps is as follows: Figure 15 As shown, the specific steps are as follows:

[0177] Step 1: Obtain the brightness component (Y channel component) of the original input image.

[0178] Step 2: Count the histogram of the brightness component, traverse the entire image, and count the gray histogram of the image (see Example 1 for the calculation method):

[0179] Step 3: Calculate the probability sum before storing each gray level to obtain a new histogram (see Example 1 for the calculation method).

[0180] Step 4: Use the new histogram to traverse each pixel to obtain the enhanced brightness component. In this...

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Abstract

The invention discloses an adaptive enhancement method for monitored video. The method comprises the steps of brightness judgment, haze judgment, noise judgment, brightness processing, haze processing and noise processing. An adaptive enhancement device for monitored video comprises a brightness judgment module, a haze judgment module, a noise judgment module, a brightness processing module, a haze processing module and a noise processing module. The brightness judgment module comprises a brightness mean calculating unit and a brightness processing and judgment unit; the haze judgment module comprises a first chrominance space conversion unit, a color saturation calculating unit, a color saturation component mean calculating unit, a haze processing and judgment unit and a second chrominance space conversion unit; and the noise judgment module comprises an edge detection unit, a binarization unit, a target statistics calculating unit and a noise processing and judgment unit.

Description

technical field [0001] The invention belongs to the field of video image processing, and in particular relates to a method and a device for adaptively identifying various interferences received by a monitoring system, thereby improving the quality of monitoring video images. Background technique [0002] Video surveillance systems are widely distributed in every corner of society, and the quality of video images obtained through surveillance will directly determine the effect of the surveillance system. The video surveillance system needs to work in various complex scenes without interruption for a long time, so the video image is easily disturbed and affected by various factors, such as noise, low illumination, and weather such as rain, snow, fog, haze, etc. These factors will Affects the quality of the video image. [0003] Video enhancement plays an important role in video surveillance. Existing video enhancement methods and devices generally optimize video images for sp...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N5/202H04N5/21H04N9/68
Inventor 何海波付光荣苏力思雷翔黄晓强何艳
Owner CHENGDU WESTIMAGE TECH
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