CN109413348B - Frame reset based time sequence driving method applicable to image sensor - Google Patents
Frame reset based time sequence driving method applicable to image sensor Download PDFInfo
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- CN109413348B CN109413348B CN201811352823.5A CN201811352823A CN109413348B CN 109413348 B CN109413348 B CN 109413348B CN 201811352823 A CN201811352823 A CN 201811352823A CN 109413348 B CN109413348 B CN 109413348B
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/70—SSIS architectures; Circuits associated therewith
- H04N25/76—Addressed sensors, e.g. MOS or CMOS sensors
- H04N25/766—Addressed sensors, e.g. MOS or CMOS sensors comprising control or output lines used for a plurality of functions, e.g. for pixel output, driving, reset or power
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Abstract
The invention relates to a frame reset time sequence driving method applicable to an image sensor, which comprises the steps of firstly generating a frame trigger signal according to a frame frequency as a time sequence driving reference according to an image sensor time sequence driving principle; when initial integration is carried out, a corresponding time sequence driving signal is generated according to the frame trigger signal; when any integral time shorter than the frame length is adjusted, if the original integral time causes the image data to be read and only occupies one frame time, the driving time sequence is immediately reset at the next frame, and the new integral time sequence driving is carried out according to the frame trigger signal; when any integral time adjustment shorter than the frame length is carried out, if the image data reading occupies two frame times due to the original integral time, the original integral time sequence driving and the image data reading are still carried out in the next frame, the driving time sequence is reset in the next two frames, and the new integral time sequence driving is carried out according to the frame trigger signal.
Description
Technical Field
The invention belongs to the field of image processing, and relates to a frame reset time sequence driving method applicable to an image sensor.
Background
The image sensor is used for realizing a camera system with small volume and low power consumption due to the advantages of low power consumption, large area array, high frame frequency and the like, and can be widely applied to a plurality of fields of industry, biology, science, medical treatment, aerospace and the like. When the image sensor is used, the integration time needs to be automatically adjusted according to different scenes, so that a time sequence driving technology capable of ensuring that the frame frequency is not influenced is urgently needed, and images can be stably and smoothly output.
Disclosure of Invention
Technical problem to be solved
In order to avoid the defects of the prior art, the invention provides a frame resetting time sequence driving method which can be applied to an image sensor, and can ensure that the image sensor can still stably and smoothly output images when automatically adjusting the integration time aiming at different scenes on the premise of not influencing the frame frequency of image transmission.
Technical scheme
A frame reset based time sequence driving method applicable to an image sensor is characterized by comprising the following steps:
step 1: generating a periodical frame trigger pulse signal according to the frame frequency as a time sequence driving reference;
step 2: performing initial integration on the image sensor, wherein a periodic frame trigger pulse signal is used as an initial signal during the integration to generate a time sequence driving signal required by the image sensor;
and step 3: when the image sensor is adjusted by the integration time which is arbitrarily shorter than the frame length, if the original integration time causes the image data to be read and only occupies one frame time, the periodic frame trigger pulse signal of the next frame is used as the initial signal to carry out the new integration time sequence driving;
when the image sensor is adjusted by the integration time which is arbitrarily shorter than the frame length, if the image data reading occupies two frame times due to the original integration time, the original integration time sequence driving and the image data reading are still carried out in the next frame, and the periodic frame trigger pulse signal is used as the starting signal to carry out the new integration time sequence driving in the next two frames.
Advantageous effects
According to the frame reset-based time sequence driving method applicable to the image sensor, according to the time sequence driving principle of the image sensor, firstly, a frame trigger signal is generated according to a frame frequency and is used as a time sequence driving reference; when initial integration is carried out, a corresponding time sequence driving signal is generated according to the frame trigger signal; when any integral time shorter than the frame length is adjusted, if the original integral time causes the image data to be read and only occupies one frame time, the driving time sequence is immediately reset at the next frame, and the new integral time sequence driving is carried out according to the frame trigger signal; when any integral time adjustment shorter than the frame length is carried out, if the image data reading occupies two frame times due to the original integral time, the original integral time sequence driving and the image data reading are still carried out in the next frame, the driving time sequence is reset in the next two frames, and the new integral time sequence driving is carried out according to the frame trigger signal.
The invention has the advantages that: on the premise of not influencing the frame frequency of image transmission, the image sensor can still stably and smoothly output images when automatically adjusting the integration time aiming at different scenes, and the application range of the image sensor is greatly expanded.
Drawings
FIG. 1 is a detailed flow chart of the present invention for implementing frame reset timing driving image sensor
Detailed Description
The invention will now be further described with reference to the following examples and drawings:
fig. 1 shows a detailed flow of driving an image sensor according to the present invention by implementing a frame reset timing.
S202, generating a periodical frame trigger pulse signal according to the frame frequency as a timing sequence driving reference;
s204, waiting for a frame trigger signal; performing initial integration on the image sensor, wherein a periodic frame trigger pulse signal is used as an initial signal during the integration to generate a time sequence driving signal required by the image sensor;
s206, performing time sequence driving on the image sensor according to the initial integration time and the image sensor driving time sequence requirement;
s208, comparing the exposure time with the difference value between the total time of each frame and the image data reading time, and if the exposure time is small, indicating that the image reading time only occupies one frame time; if the exposure time is long, it indicates that the image reading time needs to occupy two frames;
principle: when the image sensor is adjusted by the integration time which is arbitrarily shorter than the frame length, if the original integration time causes the image data to be read and only occupies one frame time, the periodic frame trigger pulse signal of the next frame is used as the initial signal to carry out the new integration time sequence driving;
when the image sensor is adjusted by the integration time which is arbitrarily shorter than the frame length, if the image data reading occupies two frame times due to the original integration time, the original integration time sequence driving and the image data reading are still carried out in the next frame, and the periodic frame trigger pulse signal is used as the starting signal to carry out the new integration time sequence driving in the next two frames.
And S210, resetting the driving time sequence and carrying out time sequence driving according to the new integration time.
Claims (1)
1. A frame reset based time sequence driving method applicable to an image sensor is characterized by comprising the following steps:
step 1: generating a periodical frame trigger pulse signal according to the frame frequency as a time sequence driving reference;
step 2: performing initial integration on the image sensor, wherein a periodic frame trigger pulse signal is used as an initial signal during the integration to generate a time sequence driving signal required by the image sensor;
and step 3: when the image sensor is adjusted by the integration time which is arbitrarily shorter than the frame length, if the original integration time causes the image data to be read and only occupies one frame time, the periodic frame trigger pulse signal of the next frame is used as the initial signal to carry out the new integration time sequence driving;
when the image sensor is adjusted by the integration time which is arbitrarily shorter than the frame length, if the image data reading occupies two frame times due to the original integration time, the original integration time sequence driving and the image data reading are still carried out in the next frame, and the periodic frame trigger pulse signal is used as the starting signal to carry out the new integration time sequence driving in the next two frames.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102843525A (en) * | 2011-06-23 | 2012-12-26 | 中国科学院西安光学精密机械研究所 | FPGA-based CCD control circuit realization method and circuit thereof |
CN104219467A (en) * | 2014-08-30 | 2014-12-17 | 中国科学院长春光学精密机械与物理研究所 | NMOS (N-channel metal oxide semiconductor) linear array image sensor |
CN104301640A (en) * | 2014-08-30 | 2015-01-21 | 中国科学院长春光学精密机械与物理研究所 | High-efficiency time sequence driving method of NMOS linear array image sensor |
CN105847714A (en) * | 2016-05-24 | 2016-08-10 | 中国科学院长春光学精密机械与物理研究所 | Delayed correction system for input image data of CMOS |
CN105991933A (en) * | 2015-02-15 | 2016-10-05 | 比亚迪股份有限公司 | Image sensor |
CN106791505A (en) * | 2016-12-29 | 2017-05-31 | 中国科学院西安光学精密机械研究所 | Time sequence generator and time sequence driving method for two-channel CCD imaging system |
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JP2008263262A (en) * | 2007-04-10 | 2008-10-30 | Olympus Corp | Imaging device |
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Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102843525A (en) * | 2011-06-23 | 2012-12-26 | 中国科学院西安光学精密机械研究所 | FPGA-based CCD control circuit realization method and circuit thereof |
CN104219467A (en) * | 2014-08-30 | 2014-12-17 | 中国科学院长春光学精密机械与物理研究所 | NMOS (N-channel metal oxide semiconductor) linear array image sensor |
CN104301640A (en) * | 2014-08-30 | 2015-01-21 | 中国科学院长春光学精密机械与物理研究所 | High-efficiency time sequence driving method of NMOS linear array image sensor |
CN105991933A (en) * | 2015-02-15 | 2016-10-05 | 比亚迪股份有限公司 | Image sensor |
CN105847714A (en) * | 2016-05-24 | 2016-08-10 | 中国科学院长春光学精密机械与物理研究所 | Delayed correction system for input image data of CMOS |
CN106791505A (en) * | 2016-12-29 | 2017-05-31 | 中国科学院西安光学精密机械研究所 | Time sequence generator and time sequence driving method for two-channel CCD imaging system |
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