CN109040743A - A kind of random noise test method, device and the readable storage medium storing program for executing of camera - Google Patents

A kind of random noise test method, device and the readable storage medium storing program for executing of camera Download PDF

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Publication number
CN109040743A
CN109040743A CN201810813751.3A CN201810813751A CN109040743A CN 109040743 A CN109040743 A CN 109040743A CN 201810813751 A CN201810813751 A CN 201810813751A CN 109040743 A CN109040743 A CN 109040743A
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noise
camera
test method
maximum value
random noise
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CN201810813751.3A
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CN109040743B (en
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林挺
曾菲菲
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Truly Opto Electronics Ltd
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Truly Opto Electronics Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00Diagnosis, testing or measuring for television systems or their details
    • H04N17/002Diagnosis, testing or measuring for television systems or their details for television cameras

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Studio Devices (AREA)
  • Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)

Abstract

The invention discloses random noise test method, device and the readable storage medium storing program for executing of a kind of camera.The random noise test method includes: step 1: driving camera to be measured to be shot under dark situation with different time for exposure and/or yield value, obtains multiple test images;Step 2: according to multiple test images obtained, the different test image of stochastic comparison calculates the noise accounting maximum value between different test images;Step 3: according to calculated noise accounting maximum value, judging whether camera to be measured is qualified.The random noise test method is able to detect the noise accounting maximum value that camera to be measured is randomly generated, and controls product quality to be screened to non-defective unit.

Description

A kind of random noise test method, device and the readable storage medium storing program for executing of camera
Technical field
The present invention relates to field of photography more particularly to a kind of random noise test method of camera, device and readable deposit Storage media.
Background technique
With further fierce, every function of the intelligent terminals such as present mobile phone, plate to camera of camera market competition Can require it is higher and higher, sometimes the random noise of camera too it is high be also it is not received, it is therefore desirable to one kind can test The method of the random noise of camera out improves product quality to screen to camera.
Summary of the invention
In order to solve above-mentioned the deficiencies in the prior art, the present invention provides a kind of random noise test method of camera, dress It sets and readable storage medium storing program for executing.It is maximum that the random noise test method is able to detect the noise accounting that camera to be measured is randomly generated Value, controls product quality to be screened to non-defective unit.
The technical problems to be solved by the invention are achieved by the following technical programs:
A kind of random noise test method of camera, comprising:
Step 1: driving camera to be measured to be shot under dark situation with different time for exposure and/or yield value, obtain more Open test image;
Step 2: according to obtain multiple test images, the different test image of stochastic comparison, calculate different test images it Between noise accounting maximum value;
Step 3: according to calculated noise accounting maximum value, judging whether camera to be measured is qualified.
Further, step 2 includes:
Step 2.1: multiple test images that will acquire are with two for one group of carry out random combine;
Step 2.2: same group of test image being compared, the noise amount between each group of test image is obtained;
Step 2.3: each group obtained of noise amount being compared, noise amount maximum value is filtered out;
Further, step 2.4: according to the noise amount maximum value filtered out, calculating noise accounting maximum value.
Further, step 2.2 includes:
Step 2.2.1: the brightness value in more same group of test image between all corresponding pixel points calculates all correspondences Luminance difference between pixel;
Step 2.2.2: if the luminance difference between corresponding pixel points is greater than preset luminance difference threshold value, judge corresponding pixel points Between there are noises;
Step 2.2.3: the noise amount between same group of test image is counted.
Further, before step 1, further includes: preset corresponding luminance difference threshold value for different picture formats.
Further, in step 2.4, noise accounting maximum value=noise amount maximum value/test image amount of pixels.
Further, in step 3, if calculated noise accounting maximum value is greater than preset noise accounting acceptance value, Then judge that camera to be measured is unqualified.
Further, before step 1, further includes: it is qualified to preset corresponding noise accounting for different cameras to be measured Value.
Further, before step 1 further include: preset multiple and different time for exposure and/or yield value.
A kind of random noise test device of camera, the storage including processor and with processor electrical connection Device, the computer program executed for the processor is stored in the memory, and the memory executes the computer program When, carry out the random noise test method of above-mentioned camera.
A kind of readable storage medium storing program for executing, is stored with the computer program executed for processor, and the computer program is described When processor executes, the random noise test method of above-mentioned camera is carried out.
The invention has the following beneficial effects: the random noise test method to camera shooting to be measured by way of random combine Multiple test images that head shooting obtains are compared, and calculate the noise accounting maximum value that camera to be measured is randomly generated, with Non-defective unit is screened to control product quality.
Detailed description of the invention
Fig. 1 is the step block diagram of random noise test method provided by the invention.
Specific embodiment
The present invention will be described in detail with reference to the accompanying drawings and examples.
Embodiment one
As shown in Figure 1, a kind of random noise test method of camera, comprising:
Step 1: driving camera to be measured to be shot under dark situation with different time for exposure and/or yield value, obtain more Open test image;
In the step 1, camera to be measured needs are shot under dark situation, and ambient light is the smaller the better, can will be to be measured Camera is placed in dark place, or the black card for blocking entering light is arranged before the camera lens of camera to be measured.In addition, when exposure Between and the gear of yield value can control variation simultaneously, also can be controlled separately variation.
Therefore, before the step 1 further include: preset multiple and different time for exposure and/or yield value.
Such as: the time for exposure can be preset with 30ms, 40ms, 50ms, 60ms, 70ms and 80ms etc., and yield value can be pre- Equipped with 2 times of gains, 4 times of gains, 8 times of gains, 16 times of gains, 32 times of gains and 64 times of gains etc..
Step 2: according to multiple test images obtained, the different test image of stochastic comparison calculates different test charts Noise accounting maximum value as between;
Specifically, the step 2 includes:
Step 2.1: multiple test images that will acquire are with two for one group of carry out random combine;
In the step 2.1, every test image is all at least distributed into one group.Such as: the test image of acquisition has 6, then It at least needs to be combined into 3 groups in random composition, the 1st formed at random including the 1st test image and the 2nd test image Form at random the 2nd group of group, the 3rd test image and the 4th test image and the 5th test image and the 6th test chart As form at random the 3rd group, then, the 1st test image can also form at random the 4th group with the 4th test image, and the 4th The 5th group can also be formed at random with the 6th test image by opening test image, and so on, the random combine of formation is more, most The precision screened afterwards is higher.
Step 2.2: same group of test image being compared, the noise amount between each group of test image is obtained;
The step 2.2 specifically includes:
Step 2.2.1: the brightness value in more same group of test image between all corresponding pixel points calculates all correspondences Luminance difference between pixel;
In step 2.2.1, due to the resolution ratio of all test images be all it is identical, can be by coordinate method same The corresponding pixel points of same coordinate are navigated in the test image of group, then by correspondence pictures all between same group of test image The brightness value of vegetarian refreshments is compared, and calculates the luminance difference between all corresponding pixel points.
Step 2.2.2: if the luminance difference between corresponding pixel points is greater than preset luminance difference threshold value, judge corresponding picture There are noises between vegetarian refreshments;
In specific implementation, there is different picture formats different brightness to be classified, therefore, before step 1, further includes: be Different picture formats presets corresponding luminance difference threshold value.
Step 2.2.3: the noise amount between same group of test image is counted.
In step 2.2.3, in same group of test image, judges to exist between corresponding pixel points every time and make an uproar Point, software all can be overlapped statistics to noise amount by algorithm sum=sum+1.
Step 2.3: each group obtained of noise amount being compared, noise amount maximum value is filtered out;
In the step 2.3, each noise amount is compared, obtains noise amount of the maximum value of the inside as camera to be measured Maximum value.
Step 2.4: according to the noise amount maximum value filtered out, calculating noise accounting maximum value.
In the step 2.4, noise accounting maximum value=noise amount maximum value/test image amount of pixels.
Test image amount of pixels refers to the pixel total amount in test image, the i.e. resolution ratio of test image, calculating side Formula is the width*height of test image, wherein width refers to the length of test image, and height refers to the width of test image.
Step 3: according to calculated noise accounting maximum value, judging whether camera to be measured is qualified.
In the step 3, if calculated noise accounting maximum value be greater than preset noise accounting acceptance value, judge to It is unqualified to survey camera.
In specific implementation, the corresponding noise accounting acceptance value of different cameras to be measured is different, such as: it is high-end to take the photograph As the noise accounting acceptance value of head just needs relatively highly default, the noise accounting acceptance value of low and middle-end camera just needs to preset It is relatively low, RGB camera is sensitive to noise, and noise accounting acceptance value just needs relatively lowly default, and MONO camera is to making an uproar Point is insensitive, and noise accounting acceptance value just needs relatively highly default.
Therefore, before step 1, further includes: preset corresponding noise accounting acceptance value for different cameras to be measured.
Multiple test charts that the random noise test method obtains camera to be measured shooting by way of random combine As being compared, the noise accounting maximum value that camera to be measured is randomly generated is calculated, controls and produces to be screened to non-defective unit Quality.
Embodiment two
A kind of random noise test device of camera, the memory including processor and with processor electrical connection, institute The computer program for storing in memory and executing for the processor is stated, when the memory executes the computer program, into The random noise test method of camera described in row embodiment one.
The random noise test device can be, but not limited to be connected to be measured take the photograph by data lines such as USB for PC As head to drive camera to be measured to be shot and read the test image clapping camera to be measured and taking the photograph.
Embodiment three
A kind of readable storage medium storing program for executing is stored with the computer program executed for processor, and the computer program is by the processing When device executes, the random noise test method of camera described in embodiment one is carried out.
Embodiments of the present invention above described embodiment only expresses, the description thereof is more specific and detailed, but can not Therefore limitations on the scope of the patent of the present invention are interpreted as, as long as skill obtained in the form of equivalent substitutions or equivalent transformations Art scheme should all be fallen within the scope and spirit of the invention.

Claims (10)

1. a kind of random noise test method of camera characterized by comprising
Step 1: driving camera to be measured to be shot under dark situation with different time for exposure and/or yield value, obtain more Open test image;
Step 2: according to obtain multiple test images, the different test image of stochastic comparison, calculate different test images it Between noise accounting maximum value;
Step 3: according to calculated noise accounting maximum value, judging whether camera to be measured is qualified.
2. the random noise test method of camera according to claim 2, which is characterized in that step 2 includes:
Step 2.1: multiple test images that will acquire are with two for one group of carry out random combine;
Step 2.2: same group of test image being compared, the noise amount between each group of test image is obtained;
Step 2.3: each group obtained of noise amount being compared, noise amount maximum value is filtered out;
Step 2.4: according to the noise amount maximum value filtered out, calculating noise accounting maximum value.
3. the random noise test method of camera according to claim 3, which is characterized in that step 2.2 includes:
Step 2.2.1: the brightness value in more same group of test image between all corresponding pixel points calculates all correspondences Luminance difference between pixel;
Step 2.2.2: if the luminance difference between corresponding pixel points is greater than preset luminance difference threshold value, judge corresponding pixel points Between there are noises;
Step 2.2.3: the noise amount between same group of test image is counted.
4. the random noise test method of camera according to claim 3, which is characterized in that before step 1, also wrap It includes: presetting corresponding luminance difference threshold value for different picture formats.
5. the random noise test method of camera according to claim 2, which is characterized in that in step 2.4, noise Accounting maximum value=noise amount maximum value/test image amount of pixels.
6. the random noise test method of camera according to claim 1, which is characterized in that in step 3, if calculating Noise accounting maximum value out is greater than preset noise accounting acceptance value, then judges that camera to be measured is unqualified.
7. the random noise test method of camera according to claim 6, which is characterized in that before step 1, also wrap It includes: presetting corresponding noise accounting acceptance value for different cameras to be measured.
8. the random noise test method of camera according to claim 1, which is characterized in that also wrap before step 1 It includes: presetting multiple and different time for exposure and/or yield value.
9. a kind of random noise test device of camera, the memory including processor and with processor electrical connection, The computer program executed for the processor is stored in the memory, which is characterized in that the memory executes the meter When calculation machine program, the random noise test method of camera described in any one of claims 1-8 is carried out.
10. a kind of readable storage medium storing program for executing is stored with the computer program executed for processor, which is characterized in that the computer When program is executed by the processor, the random noise test method of camera described in any one of claims 1-8 is carried out.
CN201810813751.3A 2018-07-23 2018-07-23 Method and device for testing random noise point of camera and readable storage medium Active CN109040743B (en)

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Cited By (1)

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Publication number Priority date Publication date Assignee Title
CN115706784A (en) * 2021-08-03 2023-02-17 宜宾市极米光电有限公司 Method for measuring noise of projection image quality of projector and related device

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US20070002143A1 (en) * 2005-06-23 2007-01-04 David Elberbaum Method and apparatus for measuring illumination and camera performances
CN102752625A (en) * 2012-06-19 2012-10-24 广东欧珀移动通信有限公司 Method for testing dark current noise of camera module
CN103475828A (en) * 2013-10-10 2013-12-25 旗瀚科技有限公司 Method for rectifying missing pixels and image sensor
KR20150014717A (en) * 2013-07-30 2015-02-09 (주)탑중앙연구소 Image stain detection method for camera module defect determination
CN108307122A (en) * 2018-01-08 2018-07-20 信利光电股份有限公司 Noise reduction image pickup method, filming apparatus and the mobile terminal and readable storage medium storing program for executing of multi-cam

Patent Citations (5)

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Publication number Priority date Publication date Assignee Title
US20070002143A1 (en) * 2005-06-23 2007-01-04 David Elberbaum Method and apparatus for measuring illumination and camera performances
CN102752625A (en) * 2012-06-19 2012-10-24 广东欧珀移动通信有限公司 Method for testing dark current noise of camera module
KR20150014717A (en) * 2013-07-30 2015-02-09 (주)탑중앙연구소 Image stain detection method for camera module defect determination
CN103475828A (en) * 2013-10-10 2013-12-25 旗瀚科技有限公司 Method for rectifying missing pixels and image sensor
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Publication number Priority date Publication date Assignee Title
CN115706784A (en) * 2021-08-03 2023-02-17 宜宾市极米光电有限公司 Method for measuring noise of projection image quality of projector and related device
CN115706784B (en) * 2021-08-03 2024-02-06 宜宾市极米光电有限公司 Measuring method and related device for projection image quality noise point of projector

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