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A self-adaptive adjustment method of cmos sensor bottom level based on image features

A CMOS sensor and self-adaptive adjustment technology, which is applied in the field of aerospace optical remote sensors, can solve the problems of unsatisfactory exposure time range and changes in ambient light intensity, and achieve the effect of low hardware equipment requirements, good exposure effect, and easy realization

Active Publication Date: 2019-06-18
BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH
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  • Application Information

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Problems solved by technology

Because the exposure time is restricted by the frame rate and clock, even if the automatic exposure technology is used, there will still be cases where the exposure time range cannot meet the changes in the ambient light intensity

Method used

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  • A self-adaptive adjustment method of cmos sensor bottom level based on image features
  • A self-adaptive adjustment method of cmos sensor bottom level based on image features
  • A self-adaptive adjustment method of cmos sensor bottom level based on image features

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Embodiment Construction

[0029] The specific embodiment of the present invention is described in further detail below in conjunction with accompanying drawing:

[0030] Such as figure 1 As shown, a method for self-adaptive adjustment of the bottom level of a CMOS sensor based on image characteristics includes the following steps:

[0031] (1) Divide the gray distribution interval of the image: the pixels whose gray value is less than or equal to P1 belong to the dark area Z0, the pixels whose gray value is greater than or equal to P2 belong to the bright area Z1, and the pixels whose gray value is in the interval [P3, P4] belong to the sensitive area. Area of ​​interest Z2;

[0032] (2) Calculate the ratio K0-K2 of the number of pixels in the Z0-Z2 area to the total number of pixels;

[0033] (3) According to the ratio of the number of pixels in each area obtained in step (2), obtain the bottom level adjustment coefficient;

[0034] The specific method of obtaining the bottom level adjustment coeff...

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Abstract

The invention discloses a self-adaptive adjustment method for the bottom level of a CMOS sensor based on image characteristics, the steps are as follows: dividing the image gray scale distribution interval; calculating the ratio of the number of pixels in each interval to the total number of pixels; comparing the above ratio with a threshold , to determine whether the bottom level needs to be adjusted; use the look-up table method to obtain the bottom level adjustment coefficient. The invention can self-adaptively adjust the bottom level of the sensor according to the brightness distribution characteristics of the scene, and can obtain better exposure effect for the scene with severe illumination changes under the condition of limited exposure time range.

Description

technical field [0001] The invention relates to a bottom level self-adaptive adjustment method applied to a CMOS image sensor. The method can effectively make up for the deficiency caused by the limited exposure time range. In addition to the conventional lighting environment, it can also be applied to the environment with a large variation range of light intensity. The space environment belongs to the technical field of aerospace optical remote sensors. Background technique [0002] The CMOS image sensor has the advantages of high integration, low cost and low power consumption, which is conducive to the realization of a light and small camera system with high frame rate and low power consumption. At present, cameras using CMOS image sensors are being widely used in fields such as aerospace, national defense and military affairs. [0003] In the imaging process of CMOS image sensor, exposure has great influence on image quality. The pixel output voltage of the CMOS sensor...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N5/235H04N5/374
CPCH04N23/73H04N25/76
Inventor 唐琦解静董国伟胡永富黄长宁张宏伟牟研娜陈彦潘铮陈超王震侯作勋
Owner BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH