CN112887629A - Frequency detection method, frequency detection device, electronic equipment and storage medium - Google Patents
Frequency detection method, frequency detection device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application discloses a frequency detection method, a frequency detection device, electronic equipment and a storage medium, and belongs to the technical field of communication. The method comprises the following steps: the method comprises the steps of obtaining time domain data of a target brightness value of a target pixel point through a photosensitive area of a dynamic visual sensor, carrying out frequency domain transformation on the time domain data of the target brightness value to obtain frequency domain data of the target brightness value, wherein the target pixel point is a pixel point on an N-frame target image, N is an integer larger than 1, and obtaining the frequency of an environment light source of the environment where the dynamic visual sensor is located according to the frequency domain data of the target brightness value. For the environment light source presenting periodic variation, the frequency of the environment light source can be detected through frequency domain transformation, and the frequency detection range is expanded.
Description
Technical Field
The present application belongs to the field of communication technologies, and in particular, to a frequency detection method, apparatus, electronic device, and storage medium.
Background
With the continuous maturity of the imaging technology of electronic devices, the requirements of users on the imaging effect are increasing. Due to the limitation of computing power and hardware cost of electronic equipment, most of current imaging sensors adopt a rolling shutter strategy. For example, a rolling shutter strategy is adopted by a Complementary Metal-Oxide-Semiconductor (CMOS) imaging sensor, which can reduce the amount of calculation and cover most of daily shooting scenes.
In the process of implementing the present application, the inventor finds that at least the following problems exist in the prior art: although the rolling shutter relieves the relative global shutter calculation load to a certain extent, the rolling shutter is realized based on line-by-line exposure, and can only detect the flicker frequency of 50Hz or 60Hz, so the frequency detection range is limited.
Disclosure of Invention
An embodiment of the present application provides a frequency detection method, an apparatus, an electronic device, and a storage medium, which can solve the problem that a current frequency detection range is limited.
In order to solve the technical problem, the present application is implemented as follows:
in a first aspect, an embodiment of the present application provides a frequency detection method, where the method includes:
acquiring time domain data of target brightness values of target pixel points on N frames of target images through a photosensitive area of a dynamic vision sensor, wherein the target pixel points are pixel points on the N frames of target images, and N is an integer greater than 1;
performing frequency domain transformation on the time domain data of the target brightness value to obtain frequency domain data of the target brightness value;
and acquiring the frequency of an environment light source of the environment where the dynamic visual sensor is located according to the frequency domain data of the target brightness value.
In a second aspect, an embodiment of the present application provides a frequency detection apparatus, including;
the first acquisition module is used for acquiring time domain data of target brightness values of target pixel points on N frames of target images through a photosensitive area of the dynamic visual sensor, wherein the target pixel points are pixel points on the N frames of target images, and N is an integer greater than 1;
the transformation module is used for carrying out frequency domain transformation on the time domain data of the target brightness value to obtain frequency domain data of the target brightness value;
and the second acquisition module is used for acquiring the frequency of the ambient light source of the environment where the dynamic visual sensor is located according to the frequency domain data of the target brightness value.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instructions stored on the memory and executable on the processor, and when executed by the processor, the program or instructions implement the steps of the method according to the first aspect.
In a fourth aspect, embodiments of the present application provide a readable storage medium, on which a program or instructions are stored, which when executed by a processor implement the steps of the method according to the first aspect.
In a fifth aspect, an embodiment of the present application provides a chip, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, and the processor is configured to execute a program or instructions to implement the method according to the first aspect.
In the embodiment of the application, time domain data of a target brightness value of a target pixel point is obtained through a photosensitive area of a dynamic visual sensor, wherein the target pixel point is a pixel point on an N-frame target image, N is an integer greater than 1, frequency domain transformation is performed on the time domain data of the target brightness value to obtain frequency domain data of the target brightness value, and according to the frequency domain data of the target brightness value, the frequency of an environment light source of an environment where the dynamic visual sensor is located is obtained. Under the condition of line-by-line exposure by adopting a rolling shutter, all photosensitive units in a photosensitive area of the dynamic vision sensor can be exposed simultaneously and continuously for the same exposure time, time domain data of target brightness values of target pixels on N frames of target images can be acquired based on the photosensitive area of the dynamic vision sensor, frequency domain data of the target brightness values of the target pixels are acquired, and then the frequency of an environmental light source of the environment where the dynamic vision sensor is located is acquired according to the frequency domain data of the target pixels, namely, the frequency of the environmental light source can be detected through frequency domain transformation for the environmental light source which shows periodic change, and the frequency detection range is expanded.
Drawings
Fig. 1 is a flow chart illustrating steps of a frequency detection method provided in an embodiment of the present application;
fig. 2 is a schematic diagram illustrating an arrangement of pixel points on an image corresponding to a photosensitive area of a dynamic vision sensor according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of time domain data and frequency domain data of a target luminance value of a target pixel provided in an embodiment of the present application;
fig. 4 is a schematic diagram of time domain data and frequency domain data of a target luminance value of another target pixel provided in this embodiment of the present application;
fig. 5 is a schematic diagram of time domain data and frequency domain data of a target luminance value of another target pixel provided in an embodiment of the present application;
fig. 6 is a schematic diagram of time domain data and frequency domain data of a target luminance value of another target pixel provided in this embodiment of the present application;
FIG. 7 is a schematic diagram of a target frequency provided by an embodiment of the present application;
fig. 8 is a schematic structural diagram of a frequency detection device provided in an embodiment of the present application;
fig. 9 is a schematic hardware structure diagram of an electronic device implementing an embodiment of the present application;
fig. 10 is a schematic hardware structure diagram of another electronic device for implementing the embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms first, second and the like in the description and in the claims of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application are capable of operation in sequences other than those illustrated or described herein. In addition, "and/or" in the specification and claims means at least one of connected objects, a character "/" generally means that a preceding and succeeding related objects are in an "or" relationship.
The frequency detection method provided by the embodiment of the present application is described in detail below with reference to the accompanying drawings through specific embodiments and application scenarios thereof.
Referring to fig. 1, fig. 1 is a flowchart illustrating steps of a frequency detection method provided in an embodiment of the present application, where the method may include the following steps:
A Dynamic Vision Sensor (DVS) based on address event expression simulates the working mechanism of biological Vision, and the traditional visual image acquisition mode is based on a frame acquired at fixed frequency and has the defects of high redundancy, high delay, high noise, low Dynamic range, high data volume and the like.
As shown in fig. 2, fig. 2 is a schematic diagram illustrating an arrangement of pixel points on an image corresponding to a photosensitive area of a dynamic vision sensor according to an embodiment of the present disclosure. Fig. 2 shows that 8 rows and 8 columns of 64 pixels are shown in common, where R, G, and B pixels are pixels corresponding to a camera, a W pixel is a pixel corresponding to a photosensitive cell in a photosensitive region of a dynamic visual sensor, and each of the small squares of the W identifier in fig. 2 represents a pixel on an image corresponding to a W photosensitive cell in a photosensitive region of a dynamic visual sensor. One W photosensitive unit can detect the brightness value of W pixel points corresponding to the W photosensitive unit in an image, and the pixel points corresponding to each W photosensitive unit in the image are target pixel points, for example, the number of the W pixel points corresponding to the W photosensitive unit in FIG. 2 is 16, and if each W photosensitive unit can work normally, the number of the target pixel points is 16.
When a user opens a camera photographing function, the camera acquires N frames of preview images, each frame of preview image has 16 target pixel points, and time domain data of brightness values of the target pixel points in each frame of preview image can be detected, for example, the brightness value 1 of a 1 st W pixel point in a first frame of preview image, namely a W pixel point in a first row and a second column, the brightness value 2 of a 2 nd W pixel point in the first frame of preview image, namely a W pixel point in a first row and a fourth column, the brightness value 3 of a 3 rd W pixel point in the first frame of preview image, namely a W pixel point in a first row and a sixth column, the brightness value 4 of a 4 th W pixel point in the first frame of preview image, namely a W pixel point in a first row and an eighth column, the brightness value 5 of a 5 th W pixel point in the first frame of preview image, namely a W pixel point in a third row and a second column, the brightness value 5, … …, the 16 th W pixel in the first frame preview image is the luminance value 16 of the W pixel in the seventh row and the eighth column, so as to obtain the time domain data of the luminance values of the 16W pixels in the first frame preview image, and also obtain the time domain data of the luminance values of the 16W pixels in the second frame preview image, … …, and the time domain data of the luminance values of the 16W pixels in the N frame preview image.
And 102, performing frequency domain transformation on the time domain data of the target brightness value to obtain frequency domain data of the target brightness value.
The target pixel points are M pixel points corresponding to M photosensitive units in the photosensitive area, the target brightness value is the brightness value of each pixel point in the M pixel points on the N frames of target images, and M is an integer greater than or equal to 1; the frequency domain transformation of the time domain data of the target brightness value to obtain the frequency domain data of the target brightness value can be realized by the following steps:
performing frequency domain transformation on time domain data of a brightness value of a Kth pixel point in the M pixel points on the N frames of target images to obtain frequency domain data of the brightness value of the Kth pixel point on the N frames of target images, wherein K is more than or equal to 1 and less than or equal to M;
for example, as shown in fig. 2, M is equal to 16, and frequency domain transformation is performed on the time domain data of the luminance value of the 1 st W pixel point on the N frame target image to obtain frequency domain data of the luminance value of the 1 st pixel point on the N frame target image. The time domain data of the brightness value of the 1 st W pixel point on the N frame target image can reflect the change conditions of the brightness value of the W pixel point at different time points. For example, as shown in the schematic diagram on the left side of the dotted line in fig. 3, fig. 3 is a schematic diagram of time domain data and frequency domain data of a target luminance value of a target pixel provided in an embodiment of the present application. The schematic diagram on the left side of the dotted line in fig. 3 is time domain data representing a luminance value of a target pixel point on an N-frame target image, the abscissa represents time, and the ordinate represents a luminance value of the target pixel point on the N-frame target image, and the schematic diagram on the left side of the dotted line in fig. 3 represents time domain data representing a luminance value of a 1 st W-th pixel point on the N-frame target image, for example. After the time domain data shown on the left side of the dotted line in fig. 3 is subjected to frequency domain transformation, frequency domain data of the brightness value of a target pixel point on the right side of the dotted line in fig. 3 on the N-frame target image is obtained.
It should be noted that, in order to detect the frequency of the ambient light source, all the W photosensitive cells in the photosensitive area of the dynamic vision sensor are exposed at the same time, and the exposure is ended at the same time, so that the frequency of the ambient light source can be detected through the brightness values of the target pixel points detected by all the W photosensitive cells. Other pixel points in fig. 2 still adopt the exposure mode of the rolling shutter, and the CMOS imaging sensor is not affected by adopting the rolling shutter for exposure. The rolling shutter is realized by a way of line-by-line exposure through a camera, when exposure is started, the camera scans line-by-line and performs exposure line-by-line until all pixel points are exposed, for example, the initial exposure time of a first line in fig. 2 can be the same as the exposure time of all W photosensitive units, exposure is started on a second line after the exposure of the first line is finished, and so on until the exposure of the last line is finished. A rolling shutter is characterized by a higher frame rate.
And 103, acquiring the frequency of the environment light source of the environment where the dynamic vision sensor is located according to the frequency domain data of the target brightness value.
In step 102, when the frequency domain transformation is performed on the time domain data of the luminance value of the K-th pixel point of the M pixel points on the N-frame target image to obtain the frequency domain data of the luminance value of the K-th pixel point on the N-frame target image, correspondingly, step 103 may be implemented by the following steps:
and acquiring the frequency of an environment light source of the environment where the dynamic visual sensor is located according to the frequency domain data of the brightness value of each pixel point of the M pixel points on the N frames of target images.
It should be noted that, if M pixel points are in the same scene of the environmental light source, the frequency domain data of the luminance value of each pixel point in the M pixel points on the N frame target image is the same, and if M pixel points are in different scenes of the environmental light source, for example, the light source 1 with the flicker frequency 1 is applied to the 1 st to 8 th W pixel points, and the light source 2 with the flicker frequency 2 and the light source 3 with the flicker frequency 3 are applied to the 9 th to 16 th W pixel points, the frequency domain data of the luminance value of the 1 st W pixel point on the N frame target image is the same as the frequency domain data of the luminance value of the p th W pixel point on the N frame target image, and p is any integer between 2 and 8. The frequency domain data of the brightness value of the 9 th W pixel point on the N frame target image is the same as the frequency domain data of the brightness value of the q th W pixel point on the N frame target image, and q is any integer between 10 and 16. The flicker frequency 1, the flicker frequency 2, and the flicker frequency 3 are different from each other, and the frequency domain data of the luminance value of the 1 st W pixel on the N-frame target image is different from the frequency domain data of the luminance value of the 9 th W pixel on the N-frame target image, if the frequency domain data of the luminance value of the 1 st W pixel on the N-frame target image is the frequency domain data shown in fig. 3, and the frequency domain data of the luminance value of the 9 th W pixel on the N-frame target image is the frequency domain data shown in fig. 4, the frequency of the ambient light source includes three frequencies shown in fig. 3 and 4. Fig. 4 is a schematic diagram of time-domain data and frequency-domain data of a target luminance value of another target pixel provided in an embodiment of the present application. The diagram on the left side of the dotted line in fig. 4, for example, represents the time domain data of the luminance value of the 9 th W pixel point on the N frame target image. And after the time domain data shown on the left side of the dotted line in fig. 4 is subjected to frequency domain transformation, obtaining the frequency domain data of the brightness value of the 9 th W pixel point on the N frame target image on the right side of the dotted line in fig. 4.
It should be noted that, the schematic diagrams shown in fig. 3 and fig. 4 both show luminance values with periodically changing luminance values, only one frequency in fig. 3 is a single period change, and two frequencies in fig. 4 are multi-period changes.
In this embodiment, the frequency domain transformation may be a frequency domain transformation method such as discrete fourier transformation or discrete cosine transformation.
According to the frequency detection method provided by the embodiment of the application, time domain data of a target brightness value of a target pixel point is obtained through a photosensitive area of a dynamic visual sensor, wherein the target pixel point is a pixel point on an N-frame target image, N is an integer greater than 1, frequency domain transformation is carried out on the time domain data of the target brightness value to obtain frequency domain data of the target brightness value, and the frequency of an environment light source of an environment where the dynamic visual sensor is located is obtained according to the frequency domain data of the target brightness value. Under the condition of line-by-line exposure by adopting a rolling shutter, all photosensitive units in a photosensitive area of the dynamic vision sensor can be exposed simultaneously and continuously for the same exposure time, time domain data of a target brightness value of a target pixel point can be acquired based on the photosensitive area of the dynamic vision sensor, frequency domain data of the target brightness value is acquired, and then the frequency of an environmental light source of the environment where the dynamic vision sensor is located is acquired according to the frequency domain data of the target pixel point, namely, for the environmental light source presenting periodic change, the frequency of the environmental light source can be detected through frequency domain conversion, and the frequency detection range is expanded.
Optionally, the target pixel points are M pixel points corresponding to M photosensitive units in the photosensitive area, the target brightness value is a brightness value of each pixel point in the M pixel points on the N frames of target images, and M is an integer greater than or equal to 1; after performing frequency domain transformation on the time domain data of the target luminance value to obtain frequency domain data of the target luminance value, the method may further include the steps of:
determining the least common multiple of the change period of the brightness value of each pixel point under the condition that the change period of the brightness values of M pixel points on the N frames of target images is multiple, wherein the change period of the brightness value of a Kth pixel point in the M pixel points on the N frames of target images is determined according to the frequency domain data of the brightness value of the Kth pixel point on the N frames of target images;
and adjusting the exposure time of the camera when acquiring the image according to the least common multiple.
As shown in fig. 4, if the brightness value of each pixel is the multi-period variation shown in fig. 4, i.e. including two frequencies, the least common multiple of the plurality of variation periods may be determined, for example, if the frequency on the left side shown in the frequency domain data on the right side of the dotted line in fig. 4 is 50Hz, the frequency on the right side shown in the frequency domain data on the right side of the dotted line in fig. 4 is 100Hz, the variation period corresponding to 50Hz is equal to the inverse of the frequency, i.e. equal to 0.02, the period of variation for 100Hz is equal to 0.01, the least common multiple of 0.01 and 0.02 is equal to 0.02, the exposure time can be adjusted to an integer multiple of one half of the least common multiple, i.e. adjusting the exposure time to 0.01T, where T is equal to a positive integer, e.g. adjusting the exposure time to 0.01, or the exposure time is adjusted to 0.02, the problem that a belt-shaped bright and dark stripe appears on a single image due to the flicker of an ambient light source can be solved.
The frequency detection method provided by the embodiment of the application can determine the least common multiple of the flicker period based on the detection of the frequency of the ambient light source, and adjust the exposure time according to the least common multiple to enable the exposure time to reach the integral multiple of the one-half least common multiple, so that the problem of light and shade stripes on a single image can be solved.
Optionally, after performing frequency domain transformation on the time domain data of the target brightness value to obtain frequency domain data of the target brightness value, the method further includes:
under the condition that the change period of the brightness values of the M pixel points on the N frames of target images is one, adjusting the exposure time when the camera collects the images according to the change period;
and the change period of the brightness value of the Kth pixel point in the M pixel points on the N frames of target images is determined according to the frequency domain data of the brightness value of the Kth pixel point on the N frames of target images.
For example, when the variation period of the luminance values of the M pixel points on the N frame target image is as shown in fig. 3, the exposure time may be adjusted to be one half of the variation period, so as to eliminate the problem that a single picture has bright and dark stripes due to the periodic flicker of the ambient light source.
It should be noted that, after obtaining the frequency domain data of the target luminance value, if after analyzing the frequency domain data, the luminance values of the M pixel points on the N frame target image are non-periodically changed, the frequency of the ambient light source is shown as a schematic diagram on the right side of the dotted line in fig. 5, and fig. 5 is a schematic diagram of time domain data and frequency domain data of the target luminance value of another target pixel point provided in the embodiment of the present application. If the frequency domain data of the target brightness value is obtained, and if the frequency domain data is analyzed, under the condition that the brightness values of the M pixel points on the N frame target image are constant, the frequency of the ambient light source is as shown in the schematic upper diagram on the right side of the dotted line of fig. 6, the frequency of the ambient light source is equal to 0, and fig. 6 is a schematic diagram of time domain data and frequency domain data of the target brightness value of another target pixel point provided in the embodiment of the present application.
Optionally, the target pixel points are pixel points corresponding to P photosensitive units in the photosensitive area, the target brightness value is an average value of brightness values of the P pixel points on each frame of target image on the N frames of target image, and P is an integer greater than 1;
and carrying out frequency domain transformation on the time domain data of the average value to obtain the frequency domain data of the average value.
It should be noted that, for the photosensitive area of the same dynamic vision sensor, the value of P may be the same as the value of M, for example, P pixels include 16W pixels shown in fig. 2. The target image may be a preview image, or may be a partial image or a whole image in a video image that has been recorded. Taking the target image as the preview image, for 16 target pixels as shown in fig. 2, an average value of luminance values of 16 target pixels on the first frame preview image may be determined, since there are 16 target pixels, a luminance value of a 1 st target pixel on the first frame preview image is 1, a luminance value of a 2 nd target pixel on the first frame preview image is 2, … …, and a luminance value of a 16 th target pixel on the first frame preview image is 16, and then an average value of the luminance values 1, 2, … …, and 16 is calculated, and the average value may be regarded as a luminance value of the first frame preview image. Similarly, the brightness value of the 1 st target pixel point on the second frame preview image is calculated to be brightness value 1, the brightness value of the 2 nd target pixel point on the second frame preview image is calculated to be brightness value 2, … …, and the brightness value of the 16 th target pixel point on the second frame preview image is calculated to be brightness value 16, and then the average value of the brightness value 1, the brightness value 2, … … and the brightness value 16 is calculated, and the average value can be regarded as the brightness value of the second frame preview image. The brightness value of the N-th frame of preview image can be determined, and whether the brightness of the ambient light source changes periodically or not can be analyzed according to the time domain data of the brightness value of each frame of preview image. For example, discrete fourier transform is performed on the time domain data of the average value to obtain the frequency domain data of the average value, so as to analyze whether the brightness of the ambient light source shows periodic variation.
It should be noted that, the time domain data of the average value of the luminance values of the P pixel points on the N frame target image may reflect the change situation of the luminance value of the preview image stream, so that the frequency of the ambient light source may be obtained according to the change situation of the luminance value of the preview image stream.
Optionally, after performing frequency domain transformation on the time domain data of the average value to obtain frequency domain data of the average value, the method further includes:
determining a target frequency and a brightness value corresponding to the target frequency under the condition that the frequency domain data of the average value is periodically changed, wherein the value of the target frequency comprises a value smaller than the value of a target frame rate in the frequency value of the environmental light source, and the target frame rate is the frame rate of the N frames of target images;
and performing brightness compensation on the image stream acquired by the camera according to the target frequency and the brightness value corresponding to the target frequency.
If the frequency is transformed into the discrete fourier transform, the frequency corresponding to the variation period obtained from the frequency domain data of the average value may include a frequency higher than the frame rate, and since the frequency higher than the frame rate cannot be detected in practical applications, and only the value of the frequency obtained after the fourier transform may have a value higher than the frame rate, the value of the frequency higher than the frame rate needs to be filtered. As shown in fig. 7, fig. 7 is a schematic diagram of a target frequency provided in this embodiment of the application, where a frame rate is equal to 25, a change period of an average value includes 3, that is, a frequency of 1Hz corresponds to a change period 1, a frequency of 50Hz corresponds to a change period 2, and a frequency of 100Hz corresponds to a change period 3, the frequency of 50Hz and the frequency of 100Hz are filtered, only the frequency of 1Hz is reserved, the frequency of 1Hz is a target frequency, and a brightness compensation is performed on an image stream acquired by a camera according to the frequency of 1Hz and a brightness value corresponding to the frequency of 1Hz, so that flicker between image streams can be eliminated. It should be noted that, if the variation period of the average value includes 1, and the frequency corresponding to the variation period is greater than the frame rate, the frequency corresponding to the variation period is discarded.
It should be noted that, in the frequency detection method provided in the embodiment of the present application, the execution subject may be a frequency detection device, or a control module in the frequency detection device for executing the frequency detection method. In the embodiment of the present application, a method for performing frequency detection by a frequency detection apparatus is taken as an example to describe the apparatus for frequency detection provided in the embodiment of the present application.
Referring to fig. 8, fig. 8 is a schematic structural diagram of a frequency detection apparatus provided in an embodiment of the present application, where the frequency detection apparatus 800 includes:
a first obtaining module 810, configured to obtain time domain data of a target brightness value of a target pixel through a photosensitive region of a dynamic visual sensor, where the target pixel is a pixel on an N-frame target image, and N is an integer greater than 1;
a transform module 820, configured to perform frequency domain transform on the time domain data of the target luminance value to obtain frequency domain data of the target luminance value;
and a second obtaining module 830, configured to obtain, according to the frequency domain data of the target brightness value, a frequency of an ambient light source of an environment where the dynamic vision sensor is located.
The embodiment of the application provides a frequency detection device, which obtains time domain data of a target brightness value of a target pixel point through a photosensitive area of a dynamic visual sensor, wherein the target pixel point is a pixel point on an N-frame target image, N is an integer greater than 1, frequency domain transformation is performed on the time domain data of the target brightness value to obtain frequency domain data of the target brightness value, and according to the frequency domain data of the target brightness value, the frequency of an environmental light source of an environment where the dynamic visual sensor is located is obtained. Under the condition of line-by-line exposure by adopting a rolling shutter, all photosensitive units in a photosensitive area of the dynamic vision sensor can be exposed simultaneously and continuously for the same exposure time, time domain data of a target brightness value of a target pixel point can be acquired based on the photosensitive area of the dynamic vision sensor, frequency domain data of the target brightness value is acquired, and then the frequency of an environmental light source of the environment where the dynamic vision sensor is located is acquired according to the frequency domain data of the target pixel point, namely, for the environmental light source presenting periodic change, the frequency of the environmental light source can be detected through frequency domain conversion, and the frequency detection range is expanded.
Optionally, the target pixel points are M pixel points corresponding to M photosensitive units of the photosensitive area, the target brightness value is a brightness value of each pixel point of the M pixel points on the N frames of target images, and M is an integer greater than or equal to 1;
the transform module 820 is specifically configured to perform frequency domain transform on the time domain data of the luminance value of the kth pixel in the M pixels on the N frame target image to obtain the frequency domain data of the luminance value of the kth pixel on the N frame target image, where K is greater than or equal to 1 and is less than or equal to M;
the second obtaining module 830 is specifically configured to obtain, according to frequency domain data of a brightness value of each pixel point of the M pixel points on the N frame target image, a frequency of an ambient light source of an environment where the dynamic vision sensor is located.
Optionally, the target pixel points are M pixel points corresponding to M photosensitive units of the photosensitive area, the target brightness value is a brightness value of each pixel point of the M pixel points on the N frames of target images, and M is an integer greater than or equal to 1; the device further comprises:
the determining module is configured to determine a least common multiple of a variation period of the luminance value of each pixel point when variation periods of the luminance values of the M pixel points on the N frame target image are multiple, where the variation period of the luminance value of a K-th pixel point of the M pixel points on the N frame target image is determined according to frequency domain data of the luminance value of the K-th pixel point on the N frame target image;
and the first adjusting module is used for adjusting the exposure time when the camera acquires the image according to the least common multiple.
Optionally, the target pixel points are M pixel points corresponding to M photosensitive units of the photosensitive area, the target brightness value is a brightness value of each pixel point of the M pixel points on the N frames of target images, and M is an integer greater than or equal to 1; the device further comprises:
the second adjusting module is used for adjusting the exposure time when the camera acquires the image according to the change period under the condition that the change period of the brightness values of the M pixel points on the N frames of target images is one;
and determining the change period of the brightness value of the Kth pixel point in the M pixel points on the N frame target image according to the frequency domain data of the brightness value of the Kth pixel point on the N frame target image.
Optionally, the target pixel points are pixel points corresponding to P photosensitive units in the photosensitive area, the target brightness value is an average value of brightness values of the P pixel points on each frame of target image on the N frames of target images, and P is an integer greater than 1;
the transform module is specifically configured to perform frequency domain transform on the time domain data of the average value to obtain frequency domain data of the average value.
Optionally, the method further includes:
determining a target frequency and a brightness value corresponding to the target frequency under the condition that the frequency domain data of the average value is periodically changed, wherein the value of the target frequency comprises a frequency value which is smaller than the value of a target frame rate in the value of the frequency of the ambient light source, and the target frame rate is the frame rate of the N frames of target images;
and performing brightness compensation on the image stream acquired by the camera according to the target frequency and the brightness value corresponding to the target frequency.
The frequency detection device in the embodiment of the present application may be a device, or may be a component, an integrated circuit, or a chip in a terminal. The device can be mobile electronic equipment or non-mobile electronic equipment. By way of example, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a palm top computer, a vehicle-mounted electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a Personal Digital Assistant (PDA), and the like, and the non-mobile electronic device may be a server, a Network Attached Storage (NAS), a Personal Computer (PC), a Television (TV), a teller machine or a self-service machine, and the like, and the embodiments of the present application are not particularly limited.
The frequency detection device in the embodiment of the present application may be a device having an operating system. The operating system may be an Android (Android) operating system, an ios operating system, or other possible operating systems, and embodiments of the present application are not limited specifically.
The frequency detection device provided in the embodiment of the present application can implement each process implemented by the frequency detection device in the method embodiment of fig. 1, and is not described here again to avoid repetition.
Optionally, an electronic device is further provided in an embodiment of the present application, as shown in fig. 9, fig. 9 is a schematic diagram of a hardware structure of an electronic device implementing the embodiment of the present application. The electronic device 900 includes a processor 901, a memory 902, and a program or an instruction stored in the memory 902 and executable on the processor 901, where the program or the instruction implements the processes of the frequency detection method embodiment when executed by the processor 901, and can achieve the same technical effect, and is not described herein again to avoid repetition.
It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and the non-mobile electronic devices described above.
Fig. 10 is a schematic hardware structure diagram of another electronic device for implementing the embodiment of the present application.
The electronic device 1000 includes, but is not limited to: a radio frequency unit 1001, a network module 1002, an audio output unit 1003, an input unit 1004, a sensor 1005, a display unit 1006, a user input unit 1007, an interface unit 1008, a memory 1009, and a processor 1010.
Those skilled in the art will appreciate that the electronic device 1000 may further comprise a power source (e.g., a battery) for supplying power to various components, and the power source may be logically connected to the processor 1010 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system. The electronic device structure shown in fig. 10 does not constitute a limitation of the electronic device, and the electronic device may include more or less components than those shown, or combine some components, or arrange different components, and thus, the description is not repeated here.
The processor 1010 is configured to obtain time domain data of a target brightness value of a target pixel through a photosensitive region of the dynamic visual sensor, where the target pixel is a pixel on an N-frame target image, and N is an integer greater than 1;
performing frequency domain transformation on the time domain data of the target brightness value to obtain frequency domain data of the target brightness value;
and acquiring the frequency of an environment light source of the environment where the dynamic visual sensor is located according to the frequency domain data of the target brightness value.
The target pixel points are M pixel points corresponding to M photosensitive units of the photosensitive area, the target brightness value is the brightness value of each pixel point in the M pixel points on the N frames of target images, and M is an integer greater than or equal to 1;
the processor 1010 is further configured to perform frequency domain transformation on the time domain data of the luminance value of the K-th pixel point of the M pixel points on the N frame target image to obtain frequency domain data of the luminance value of the K-th pixel point on the N frame target image, where K is greater than or equal to 1 and less than or equal to M;
and acquiring the frequency of an ambient light source of the environment where the dynamic visual sensor is located according to the frequency domain data of the brightness value of each pixel point in the M pixel points on the N frames of target images.
The processor 1010 is further configured to determine a least common multiple of a variation period of the luminance value of each pixel point when variation periods of the luminance values of the M pixel points on the N frame target image are multiple, where the variation period of the luminance value of a K-th pixel point of the M pixel points on the N frame target image is determined according to frequency domain data of the luminance value of the K-th pixel point on the N frame target image;
and adjusting the exposure time of the camera when acquiring the image according to the least common multiple.
The processor 1010 is further configured to adjust exposure time when the camera acquires an image according to a change period of the brightness values of the M pixel points on the N frame target image when the change period is one;
and determining the change period of the brightness value of the Kth pixel point in the M pixel points on the N frame target image according to the frequency domain data of the brightness value of the Kth pixel point on the N frame target image.
The target pixel points are pixel points corresponding to P photosensitive units of the photosensitive area, the target brightness value is the average value of the brightness values of the P pixel points on each frame of target image on the N frames of target images, and P is an integer greater than 1;
the processor 1010 is further configured to perform frequency domain transformation on the time domain data of the average value to obtain frequency domain data of the average value.
The processor 1010 is further configured to determine a target frequency and a brightness value corresponding to the target frequency when the frequency domain data of the average value periodically changes, where the value of the target frequency includes a value smaller than a value of a target frame rate in the value of the frequency of the ambient light source, and the target frame rate is a frame rate of the N target images;
and performing brightness compensation on the image stream acquired by the camera according to the target frequency and the brightness value corresponding to the target frequency.
The embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, the program or the instruction implements each process of the above noise reduction function control method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here.
The processor is the processor in the electronic device in the above embodiment. Readable storage media, including computer-readable storage media, such as Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, etc.
It should be understood that in the embodiment of the present application, the input Unit 1004 may include a Graphics Processing Unit (GPU) 10041 and a microphone 10042, and the Graphics Processing Unit 10041 processes image data of still pictures or videos obtained by an image capturing device (such as a camera) in a video capturing mode or an image capturing mode. The display unit 1006 may include a display panel 10061, and the display panel 10061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 1007 includes a touch panel 10071 and other input devices 10072. The touch panel 10071 is also referred to as a touch screen. The touch panel 10071 may include two parts, a touch detection device and a touch controller. Other input devices 10072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail herein. The memory 1009 may be used to store software programs as well as various data, including but not limited to application programs and operating systems. Processor 1010 may integrate an application processor that handles primarily operating systems, user interfaces, applications, etc. and a modem processor that handles primarily wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 1010.
The embodiment of the present application further provides a chip, where the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to execute a program or an instruction to implement each process of the above frequency detection method embodiment, and the same technical effect can be achieved.
It should be understood that the chips mentioned in the embodiments of the present application may also be referred to as system-on-chip, system-on-chip or system-on-chip, etc.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Further, it should be noted that the scope of the methods and apparatus of the embodiments of the present application is not limited to performing the functions in the order illustrated or discussed, but may include performing the functions in a substantially simultaneous manner or in a reverse order based on the functions involved, e.g., the methods described may be performed in an order different than that described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.
While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (14)
1. A method of frequency detection, the method comprising:
acquiring time domain data of a target brightness value of a target pixel point through a photosensitive area of a dynamic vision sensor, wherein the target pixel point is a pixel point on an N-frame target image, and N is an integer greater than 1;
performing frequency domain transformation on the time domain data of the target brightness value to obtain frequency domain data of the target brightness value;
and acquiring the frequency of an environment light source of the environment where the dynamic visual sensor is located according to the frequency domain data of the target brightness value.
2. The method according to claim 1, wherein the target pixel points are M pixel points corresponding to M photosites of the photosensing area, the target brightness value is a brightness value of each of the M pixel points on the N frames of target image, and M is an integer greater than or equal to 1;
the frequency domain transformation of the time domain data of the target brightness value of the target pixel point to obtain the frequency domain data of the target brightness value includes:
performing frequency domain transformation on the time domain data of the brightness value of the Kth pixel point in the M pixel points on the N frames of target images to obtain the frequency domain data of the brightness value of the Kth pixel point on the N frames of target images, wherein K is more than or equal to 1 and less than or equal to M;
the acquiring, according to the frequency domain data of the target brightness value, the frequency of the ambient light source of the environment where the dynamic vision sensor is located includes:
and acquiring the frequency of an ambient light source of the environment where the dynamic visual sensor is located according to the frequency domain data of the brightness value of each pixel point in the M pixel points on the N frames of target images.
3. The method according to claim 1, wherein the target pixel points are M pixel points corresponding to M photosites of the photosensing area, the target brightness value is a brightness value of each of the M pixel points on the N frames of target image, and M is an integer greater than or equal to 1; after the frequency-domain transforming the time-domain data of the target luminance value to obtain the frequency-domain data of the target luminance value, the method further includes:
determining the least common multiple of the variation cycle of the brightness value of each pixel point under the condition that the variation cycles of the brightness values of the M pixel points on the N frames of target images are multiple, wherein the variation cycle of the brightness value of the Kth pixel point in the M pixel points on the N frames of target images is determined according to the frequency domain data of the brightness value of the Kth pixel point on the N frames of target images;
and adjusting the exposure time of the camera when acquiring the image according to the least common multiple.
4. The method according to claim 1, wherein the target pixel points are M pixel points corresponding to M photosites of the photosensing area, the target brightness value is a brightness value of each of the M pixel points on the N frames of target image, and M is an integer greater than or equal to 1;
after the frequency-domain transforming the time-domain data of the target luminance value to obtain the frequency-domain data of the target luminance value, the method further includes:
under the condition that the change period of the brightness values of the M pixel points on the N frames of target images is one, adjusting the exposure time when the camera collects the images according to the change period;
and determining the change period of the brightness value of the Kth pixel point in the M pixel points on the N frame target image according to the frequency domain data of the brightness value of the Kth pixel point on the N frame target image.
5. The method according to claim 1, wherein the target pixel points are pixel points corresponding to P photosensitive units of the photosensitive area, the target luminance value is an average value of luminance values of the P pixel points on each frame of target image on the N frames of target images, and P is an integer greater than 1;
the frequency domain transformation of the time domain data of the target brightness value of the target pixel point to obtain the frequency domain data of the target brightness value includes:
and carrying out frequency domain transformation on the time domain data of the average value to obtain the frequency domain data of the average value.
6. The method of claim 5, further comprising, after the frequency-domain transforming the time-domain data of the average value to obtain the frequency-domain data of the average value:
determining a target frequency and a brightness value corresponding to the target frequency under the condition that the frequency domain data of the average value is periodically changed, wherein the value of the target frequency is a value smaller than a value of a target frame rate in the value of the frequency of the ambient light source, and the target frame rate is a frame rate of the N frames of target images;
and performing brightness compensation on the image stream acquired by the camera according to the target frequency and the brightness value corresponding to the target frequency.
7. A frequency detection apparatus, characterized in that the apparatus comprises:
the first acquisition module is used for acquiring time domain data of a target brightness value of a target pixel point through a photosensitive area of the dynamic visual sensor, wherein the target pixel point is a pixel point on an N-frame target image, and N is an integer greater than 1;
the transformation module is used for carrying out frequency domain transformation on the time domain data of the target brightness value to obtain frequency domain data of the target brightness value;
and the second acquisition module is used for acquiring the frequency of the ambient light source of the environment where the dynamic visual sensor is located according to the frequency domain data of the target brightness value.
8. The apparatus of claim 7, wherein the target pixel points are M pixel points corresponding to M photosites of the photosensing area, the target brightness value is a brightness value of each of the M pixel points on the N frames of the target image, and M is an integer greater than or equal to 1;
the transformation module is specifically configured to perform frequency domain transformation on the time domain data of the luminance value of the kth pixel point in the M pixel points on the N frame target image to obtain the frequency domain data of the luminance value of the kth pixel point on the N frame target image, where K is greater than or equal to 1 and is less than or equal to M;
the second obtaining module is specifically configured to obtain, according to frequency domain data of a luminance value of each pixel point of the M pixel points on the N frame target image, a frequency of an ambient light source of an environment where the dynamic vision sensor is located.
9. The apparatus of claim 7, wherein the target pixel points are M pixel points corresponding to M photosites of the photosensing area, the target brightness value is a brightness value of each of the M pixel points on the N frames of the target image, and M is an integer greater than or equal to 1; the device further comprises:
the determining module is configured to determine a least common multiple of a variation period of the luminance value of each pixel point when variation periods of the luminance values of the M pixel points on the N frame target image are multiple, where the variation period of the luminance value of a K-th pixel point of the M pixel points on the N frame target image is determined according to frequency domain data of the luminance value of the K-th pixel point on the N frame target image;
and the first adjusting module is used for adjusting the exposure time when the camera acquires the image according to the least common multiple.
10. The apparatus of claim 7, wherein the target pixel points are M pixel points corresponding to M photosites of the photosensing area, the target brightness value is a brightness value of each of the M pixel points on the N frames of the target image, and M is an integer greater than or equal to 1; the device further comprises:
the second adjusting module is used for adjusting the exposure time when the camera acquires the image according to the change period under the condition that the change period of the brightness values of the M pixel points on the N frames of target images is one;
and determining the change period of the brightness value of the Kth pixel point in the M pixel points on the N frame target image according to the frequency domain data of the brightness value of the Kth pixel point on the N frame target image.
11. The apparatus according to claim 7, wherein the target pixel points are pixel points corresponding to P photosensitive units of the photosensitive region, the target luminance values are average values of luminance values of the P pixel points on each frame target image of the N frames target image, and P is an integer greater than 1;
the transform module is specifically configured to perform frequency domain transform on the time domain data of the average value to obtain frequency domain data of the average value.
12. The apparatus of claim 11, further comprising:
determining a target frequency and a brightness value corresponding to the target frequency under the condition that the frequency domain data of the average value is periodically changed, wherein the value of the target frequency comprises a value smaller than a value of a target frame rate in the value of the frequency of the ambient light source, and the target frame rate is the frame rate of the N frames of target images;
and performing brightness compensation on the image stream acquired by the camera according to the target frequency and the brightness value corresponding to the target frequency.
13. An electronic device comprising a processor, a memory, and a program or instructions stored on the memory and executable on the processor, the program or instructions when executed by the processor implementing the steps of the frequency detection method according to any one of claims 1-6.
14. A readable storage medium, on which a program or instructions are stored, which when executed by a processor implement the steps of the frequency detection method according to any one of claims 1 to 6.
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