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Automatic exposure method and device

A technology of automatic exposure and target image, which is applied in the field of image processing, can solve the problems of high requirements for hardware facilities of automatic exposure devices, complex automatic exposure technology algorithms, and inability to meet cost control and real-time processing speed at the same time, so as to improve real-time processing speed, Realize the effect of real-time recording and video monitoring

Active Publication Date: 2018-02-02
VISIONERTECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The existing automatic exposure technology algorithms are relatively complex, and the corresponding hardware costs are relatively high; in addition, the requirements for hardware facilities required by the automatic exposure device are also relatively high, which cannot meet the needs of cost control and real-time processing speed at the same time

Method used

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Examples

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example 1

[0069] Example 1: If the weight of each pixel of the target image is equal, that is, each pixel in the target image has an equal impact on the overall brightness, then the average brightness value of the target image is for each pixel of the image The average of the brightness values ​​of the points. It should be noted that the above is only an exemplary implementation, and any existing technology in the art or any technical means to be adopted in the future may be used to determine the average brightness value of the target image based on the weight and the brightness.

example 2

[0070] Example 2: In Example 2, the following non-limiting description is made for step S124. First, count the histogram w_his(n) of the target image weight w(i,j), where n represents the brightness range of the pixel, that is, all possible brightness values ​​of b(i,j), if the brightness value is determined to be 0 Integer values ​​within the range of ~255, then 0≦n≦255, and finally w_his(n) is a table with 256 values.

[0071] For the purpose of simplifying the description, the following takes an image of 5*5 (1≦i≦5, 1≦j≦5), and the brightness value b(i, j) is determined as an integer value in the range of 0 to 3 as an example. The specific process of obtaining the histogram w_his(n), in this example, 0≦n≦3, w_his(n) has 4 values, namely w_his(0), w_his(1), w_his(2) and w_his( 3).

[0072] Table 1 shows the brightness value b(i,j) of each pixel of the image:

[0073] Table 1: Image pixel brightness value table

[0074]

[0075] Table 2 shows the weight w(i,j) of each ...

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Abstract

The invention relates to an automatic exposure method and device. The method comprises the steps of: acquiring an average brightness value of a target image; acquiring a preset target brightness value, and according to the average brightness value and the target brightness value, determining a target exposure amplitude; and according to a preset regulation amplitude, sequentially regulating exposure amplitudes until the sum of the regulated exposure amplitudes is matched with the target exposure amplitude. A weight of each pixel point of the target image is determined on the basis of a columnweight parameter and a line weight parameter, the exposure amplitude is determined by the target brightness value and the average brightness value, and a real-time processing speed of image automaticexposure can be effectively improved, so that real-time recording and video monitoring are implemented.

Description

technical field [0001] The invention belongs to the field of image processing, and more specifically, the invention relates to an automatic exposure method and device. Background technique [0002] The purpose of automatic exposure is to realize the recognition of brightness level in different lighting conditions and scenes, and adjust the exposure parameters in real time, so that the captured video or image is neither too dark nor too bright. In order to achieve this purpose, it is necessary to adjust the lens aperture, sensor exposure time, sensor analog gain and sensor digital gain; after the lens aperture is determined, it is necessary to adjust the sensor exposure time, sensor analog gain and sensor digital gain, this process is called automatic exposure. [0003] The existing automatic exposure technology algorithm is relatively complex, and the corresponding hardware cost is relatively high; in addition, the hardware facilities required by the automatic exposure devic...

Claims

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Application Information

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IPC IPC(8): H04N5/235
CPCH04N23/70H04N23/71H04N23/73
Inventor 艾韬张基隆
Owner VISIONERTECH CO LTD
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