CN110740230A - Image acquisition method, residual image attenuation parameter measurement system, image acquisition device, electronic apparatus, and computer-readable storage medium - Google Patents
Image acquisition method, residual image attenuation parameter measurement system, image acquisition device, electronic apparatus, and computer-readable storage medium Download PDFInfo
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- CN110740230A CN110740230A CN201911009562.1A CN201911009562A CN110740230A CN 110740230 A CN110740230 A CN 110740230A CN 201911009562 A CN201911009562 A CN 201911009562A CN 110740230 A CN110740230 A CN 110740230A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/81—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation
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- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/60—Noise processing, e.g. detecting, correcting, reducing or removing noise
- H04N25/62—Detection or reduction of noise due to excess charges produced by the exposure, e.g. smear, blooming, ghost image, crosstalk or leakage between pixels
Abstract
The invention discloses a image acquisition method which comprises the steps of acquiring a th image in an th frame period, acquiring a second image in a second frame period, obtaining ghost attenuation parameters at fixed time intervals, processing the second image according to the ghost attenuation parameters to obtain effective signals of the second frame period, and also discloses a ghost attenuation parameter measurement system, an image acquisition device, electronic equipment and a computer readable storage medium.
Description
Technical Field
The invention relates to the technical field of image acquisition, in particular to image acquisition methods, an afterimage attenuation parameter measuring system, an image acquisition device, electronic equipment and a computer-readable storage medium.
Background
With the development of electronic terminal technology, the popularity of intelligent electronic terminals such as mobile phones, tablet computers, and portable computers is increasing. Since most of these electronic devices store various kinds of information of users, the security problem is more and more emphasized by people, and the unlocking technology is greatly developed.
The off-screen image acquisition technology is which is a popular unlocking technology at present, and the image acquisition and unlocking process is mainly completed through an acquisition module below the display screen glass.
Fig. 1(a) shows a top view of a structure of an existing image capturing, fig. 1(B) shows a side view of the structure of the existing image capturing, as shown in fig. 1(a) and fig. 1(B), a finger is pressed on a device 10 to capture an image, the device 10 includes a screen 11 and a sensor 12 which are arranged in a stack, when image capturing is performed, an OLED/TFT-LCD screen is used as a light source, and meanwhile, in order to enlarge a capturing area or increase image quality, it is often necessary to capture a plurality of images when the finger presses on the screen 11 times, fig. 1(C) shows a schematic diagram of image capturing results in the existing image capturing, due to the presence of equivalent capacitance inside the sensor 12 such as a CMOS/CCD, image ghosting exists in continuous capturing, as shown in fig. 1(C), in an image captured in a certain frame, an image captured in a current frame, and an image ghosting image captured in previous frames, such as an effective image a captured in a frame period of , such as an image captured in a second frame period, an effective image capturing frame B and a captured in a second frame, such that image capturing period of a, and an image capturing experience of a captured in a frame of a second frame, and an image capturing period of a capturing is reduced, and such that an image capturing effect of a capturing is caused by a capturing period of a capturing is reduced.
Therefore, there is a need to provide an improved technical solution to overcome the above technical problems in the prior art.
Disclosure of Invention
In order to solve the technical problems, the invention provides image acquisition methods, an afterimage attenuation parameter determination system, an image acquisition device, an electronic device and a computer-readable storage medium, which can remove afterimages of images, make acquired signals more obvious and make image acquisition more efficient.
The image acquisition method comprises the steps of acquiring a image in a frame period, acquiring a second image in a second frame period, obtaining a residual image attenuation parameter with a fixed time interval, and processing the second image according to the residual image attenuation parameter to obtain an effective signal of the second frame period.
Preferably, the method for obtaining the residual shadow attenuation parameters at fixed time intervals comprises the steps of continuously acquiring a plurality of images at fixed time intervals in a non-light environment to obtain an image set, and obtaining the residual shadow attenuation parameters according to the image set.
Preferably, the ghost attenuation parameter is a ghost attenuation coefficient.
Preferably, the step of obtaining the ghost attenuation coefficient according to the image set comprises the steps of calculating a gray average value of each image in the image set to obtain a set, calculating a ratio of gray average values of adjacent images in the set to obtain a second set, and calculating an average value of the second set after removing a minimum value and a maximum value in the second set to obtain the ghost attenuation coefficient.
Preferably, obtaining the valid signal for the second frame period comprises subtracting the product of the th image and the ghosting attenuation coefficient from the second image.
Preferably, the ghost attenuation parameter is a ghost attenuation curve.
Preferably, the step of obtaining the ghost attenuation curve according to the image set comprises the steps of calculating the gray average value of each image in the image set to obtain a image set, obtaining a third set and a fourth set according to the image set, drawing points with the numerical value in the third set as the abscissa and the numerical value in the fourth set as the ordinate in the same two-dimensional coordinate system, and sequentially connecting the points to obtain the ghost attenuation curve.
Preferably, the obtaining of the effective signal of the second frame period includes obtaining a value of a corresponding ordinate on the afterimage attenuation curve by using a gray value of each pixel point of the th image as an abscissa, and obtaining the effective signal of the second frame period by subtracting the value of the ordinate from the second image.
The residual image attenuation parameter measuring system is characterized by comprising a dark box, a light source and an image acquisition device, wherein the light source and the image acquisition device are placed in the dark box, and the light source is used for providing a bright environment/a non-bright environment for the image acquisition device.
The image acquisition devices provided by the invention comprise an acquisition module, a calculation module and a second calculation module, wherein the acquisition module is used for continuously acquiring images in a plurality of frame periods according to the pressing operation of fingers, the calculation module is connected with the acquisition module and is used for calculating an afterimage attenuation coefficient according to the images, and the second calculation module is respectively connected with the acquisition module and the calculation module and is used for calculating effective signals according to the image information of two adjacent frame periods and the afterimage attenuation coefficient.
The electronic devices provided by the invention comprise a memory, a processor and a computer program stored on the memory and capable of running on the processor, and are characterized in that when the processor executes the computer program, the image acquisition method is realized.
computer-readable storage medium according to the invention, on which a computer program is stored which, when being executed by a processor, carries out the image acquisition method as described above.
The method has the advantages that after the -frame image is collected, the operation of removing the residual shadow is carried out on the image of the frame according to the residual shadow attenuation coefficient, and the effective signal of the current frame image is obtained by subtracting the -frame attenuated image from the image of the current frame, so that the collected signal is more obvious when the continuous image collection is pressed for times.
The image acquisition method, the residual image attenuation parameter measuring system, the image acquisition device, the electronic equipment and the computer readable storage medium disclosed by the invention do not need extra work for eliminating residual images, such as waiting for discharging or reverse charging and the like, so that the acquisition is more efficient.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The above and other objects, features and advantages of the present invention will become more apparent from the following description of the embodiments of the present invention with reference to the accompanying drawings.
FIG. 1(a) is a top view of a structure in prior art image acquisition;
FIG. 1(b) shows a side view of a structure at the time of image acquisition in the prior art;
fig. 1(c) is a schematic diagram showing an image acquisition result in the case of image acquisition in the related art;
FIG. 2 is a flow chart of an image acquisition method provided by an embodiment of the invention;
FIG. 3 is a schematic diagram of an afterimage attenuation parameter measurement system according to an embodiment of the present invention;
fig. 4(a) shows a graph of variation of image capturing gray-scale value with the number of capturing frames in a dark environment according to an embodiment of the present invention;
FIG. 4(b) shows a graph of the fitted ghosting attenuation coefficients of FIG. 4 (a);
FIG. 5 is a schematic diagram illustrating an attenuation curve of an afterimage according to a second embodiment of the present invention;
fig. 6 is a schematic structural diagram illustrating a plurality of consecutive frames of captured images according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an image capturing device according to an embodiment of the present invention.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Preferred embodiments of the present invention are shown in the drawings. The invention may, however, be embodied in different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
The present invention will be described in detail below with reference to the accompanying drawings.
Fig. 2 shows a flowchart of an image acquisition method according to an embodiment of the present invention, fig. 3 shows a schematic diagram of an afterimage attenuation parameter measurement system according to an embodiment of the present invention, fig. 4(a) shows a graph of a change of an image acquisition gray value with an acquisition frame number in a dark environment according to an th embodiment of the present invention, fig. 4(b) shows a schematic diagram of an afterimage attenuation coefficient fitted in fig. 4(a), and fig. 5 shows a schematic diagram of an afterimage attenuation curve according to a second embodiment of the present invention.
The image capturing method shown in this embodiment may be applied to an electronic device having a capture module disposed under a screen, such as a mobile terminal like a mobile phone, a tablet computer, a laptop computer, a smart watch, a smart eye, and a non-mobile terminal like a desktop computer, an personal computer, and a smart television, as shown in fig. 2, the method mainly includes steps S1 to S4.
In step S1, a th image is acquired in the th frame period.
In step S2, a second image is acquired in a second frame period.
When carrying out event such as fingerprint unblock, can press the finger on the collector in order to gather the fingerprint image, in this embodiment, the collector can set up under electronic equipment's the screen.
When detecting that a finger presses the acquisition area of the screen, or presses an HOME key, a virtual key on the screen, and the like, triggering image acquisition.
In preferred embodiments of the present invention, in order to capture the th image c1 in the th frame period and the second image c2 in the second frame period, the plurality of images can be captured at finger presses, such as capturing a plurality of images in consecutive N-frame screen display periods.
In another preferred embodiment of the present invention, at least images are acquired in each frame period.
It should be noted that the above-mentioned collected fingerprint image is only an exemplary embodiment, and the technical solution disclosed in the present invention is also applicable to other collected images, and is not limited herein.
The following describes the technical solution of the present invention by taking images collected in each frame period as an example.
In step S3, the ghost attenuation parameters at fixed time intervals are obtained.
In this embodiment, as shown in fig. 3, the present invention further relates to kinds of afterimage attenuation parameter measuring systems, which includes a dark box 100, a light source 200, and an image capturing device 300, wherein the light source 200 and the image capturing device 300 are disposed in the dark box 100, and the light source 200 is used to provide a bright environment/a dark environment for the image capturing device 300.
The ghost attenuation parameters are inherent to the image capture device 300.
When the ghost attenuation parameters are measured, step is to place the image capturing device 300 in the dark box 100, turn on the light source 200, and leave the image capturing device 300 in a bright environment for a period of time 300 seconds, such as 10 seconds.
In a second step, the light source 200 is turned off, and a plurality of images are continuously acquired at a fixed time interval Δ T (e.g., 1 second) in a dark environment to obtain an th image set, wherein the th image set includes n images a1,a2,a3,...,anWherein n is a natural number of 10 or more in a preferred embodiment.
The value range of n is only exemplary, and should not be construed as limiting the present application. And it can be understood that the larger the value of n is, the more accurate the obtained result is.
In a third step, an afterimage attenuation parameter is calculated from the acquired th image set.
In the th embodiment of the present invention, the ghost attenuation parameter is a ghost attenuation coefficient λ, which indicates that the image attenuation coefficients of any two adjacent frames are both λ.
referring to FIGS. 4(a) and 4(b), in an embodiment of the present invention, a method for obtaining a fixed-time-interval ghost attenuation factor λ includes collecting a image set { a }1,a2,a3,...,anAverage the gray value of the whole image to obtain th set m1,m2,m3,...,mnTaking the average value of the gray values of the adjacent images in the th set as a ratio to obtain a second set (m)2/m1,m3/m2,...,mn/mn-1I.e. { b }1,b2,b3,...,bn-1}; and then, after the maximum value and the minimum value in the second set are removed, the average value of the second set is calculated, and further, the ghost attenuation coefficient lambda is obtained.
As can be seen from fig. 4(b), the afterimage attenuation coefficient λ at a fixed time interval is constant.
Referring to FIG. 5, in a second embodiment of the present invention, a method for obtaining an afterimage attenuation curve includes collecting a th image set { a }1,a2,a3,...,anAverage the gray value of the whole image to obtain th set m1,m2,m3,...,mnAccording to th set, obtaining a third set m1,m2,m3,...,mn-1And a fourth set m2,m3,...,mn}; will be described by thirdPoints of which the numerical values in the set are horizontal coordinates and the numerical values in the fourth set are vertical coordinates are drawn in the same two-dimensional coordinate system and are sequentially connected to obtain a two-dimensional curve, and the two-dimensional curve is a ghost attenuation curve.
Wherein the third set represents the gray scale average of the first frame images and the fourth set represents the gray scale average of the last frame images.
It should be noted that the above-mentioned sets only represent sets including multiple calculation results, which include, but are not limited to, arrays, analytical expressions, and the like.
In step S4, the second image is processed according to the afterimage attenuation parameter, and a valid signal of the second frame period is obtained.
As shown in fig. 6, in the continuous sampling of a plurality of frame periods or the continuous sampling at a fixed time interval Δ T, the initial image is assumed to be c0The image acquired in the th frame period is c1The effective signal of the th frame period is S1, and the image acquired in the second frame period is c2The valid signal of the second frame period is S2; by analogy, the image collected in the nth frame period is cnThe valid signal of the nth frame period is Sn., where the time interval between the th frame period and the second frame period is Δ T, so that the continuous sampling of a plurality of frame periods in the present invention is equivalent to the continuous sampling of the fixed time interval Δ T.
Referring to fig. 1(c), a second image c acquired in a second frame period2Not only contains the valid signal S2 in the current frame period, but also contains the th image c collected in the th frame period1The image sticking is the th image c1The effective signal S2 collected in the second frame period is calculated by subtracting the image collected in the current frame period from the image contained in the image residual in the last frame period.
In the st embodiment of the present invention, the gray level of the image residual is λ c after time of attenuation1And therefore the effective signal S collected in the second frame period2＝c2-λc1。
And so on, the image c collected in the nth frame periodnIn this case, image ghosts λ c will existn-1. Therefore, the calculation formula of the valid signal Sn in the nth frame period is: sn＝cn-λcn-1。
In the second embodiment of the present invention, after the attenuation of time, the gray-scale value of the image residual shadow is c1Therefore the valid signal S acquired in the second frame period2＝c2-c1′。
, gray value c of image residual shadow1"is obtained from the ghost attenuation curve, specifically from the th image c1The gray value of each pixel point is used as the horizontal coordinate, the value of the corresponding vertical coordinate on the ghost attenuation curve is searched, namely the gray value of the image ghost is c1＇。
And so on, the image c collected in the nth frame periodnIn (c), image ghosts c existn-1". Therefore, the calculation formula of the valid signal Sn in the nth frame period is: sn＝cn-cn-1′。
Further , in the continuous sampling of a plurality of frame periods, the effective signal collected corresponding to each frame period can be obtained according to the above method to increase the collection and collection accuracy.
After the effective signal of any frame period is obtained, the obtained effective signal is sent to an information collector of the electronic equipment for identification operation, and then real image information can be obtained.
In conclusion, the image acquisition method disclosed by the invention can remove the residual shadow in the acquired image, so that the signal is more obvious, and the accuracy of operation is improved.
Fig. 5 shows a schematic structural diagram of an image capturing device according to an embodiment of the present invention.
As shown in fig. 5, in the present embodiment, the image capturing device is located below the display screen, and includes a capturing module 310, an th calculating module 320, and a second calculating module 330.
The capturing module 310 is configured to capture images continuously in a plurality of frame periods according to a pressing operation of a finger.
The calculation module 320 is connected to the acquisition module 310 and is configured to calculate an afterimage attenuation parameter according to the image acquired by the acquisition module 310.
The second calculating module 330 is connected to the acquiring module 310 and the th calculating module 320, respectively, and is configured to calculate an effective signal according to the image information and the ghost attenuation parameters of two adjacent frame periods.
The invention also discloses electronic devices, which include a memory, a processor and a computer program stored in the memory and capable of running on the processor, and when the processor executes the computer program, the image acquisition method described in the embodiment shown in fig. 2 is implemented.
The Memory may be a high-speed Random Access Memory (RAM) Memory or a non-volatile Memory (e.g., a disk Memory) for storing sets of executable program code.
, the present application further provides computer-readable storage media, which can be configured in the electronic devices in the foregoing embodiments, and the computer-readable storage media can also be storage units configured in the main control chip and the data acquisition chip, and the computer-readable storage media store a computer program, which when executed by a processor, implements the image acquisition method described in the foregoing embodiment shown in fig. 2.
The electronic device may be, in particular, a mobile or smart phone (e.g., an iPhone, Android based phone), a portable gaming device (e.g., a Nintendo DS, PlayStationPortabel, Game Advance, iPhone), a laptop, a PDA, a portable Internet appliance, a music player, and a data storage device, other handheld devices, and a Head Mounted Device (HMD) such as a watch, headset, pendant, headset, and the like, as well as other wearable devices (e.g., an electronic glasses, an electronic garment, an electronic bracelet, an electronic necklace, an electronic tattoo, an electronic device, or a smart watch).
In summary, after the frames of images are collected, the method removes the residual shadow of the frames of images according to the residual shadow attenuation coefficient, and subtracts frames of attenuated images from the current frames of images to obtain the effective signals of the current frames of images, so that the collected signals are more obvious when times of pressing continuous images.
According to the technical scheme disclosed by the invention, extra work such as waiting for discharging or reverse charging and the like is not needed for eliminating the residual image, so that the acquisition is more efficient.
It should be noted that, in this document, the contained 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 an series 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.
Finally, it should be noted that: it should be understood that the above examples are only for clearly illustrating the present invention and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications of the invention may be made without departing from the scope of the invention.
Claims (12)
1, image acquisition method, comprising:
acquiring a th image in an th frame period;
acquiring a second image in a second frame period;
obtaining ghost attenuation parameters at fixed time intervals;
and processing the second image according to the ghost attenuation parameter to obtain an effective signal of a second frame period.
2. The image acquisition method according to claim 1, wherein the method of obtaining the fixed-time-interval ghost attenuation parameters comprises:
continuously acquiring a plurality of images at fixed time intervals in a non-light environment to obtain an image set;
and acquiring the ghost attenuation parameters according to the image set.
3. The image acquisition method according to claim 2, wherein the ghost attenuation parameter is a ghost attenuation coefficient.
4. The image acquisition method according to claim 3, wherein the obtaining of the ghost attenuation coefficient from the image set comprises:
calculating the gray level average value of each image in the th image set to obtain a th set;
calculating the ratio of the gray level average values of the adjacent images in the th set to obtain a second set;
and after the minimum value and the maximum value in the second set are removed, calculating the average value of the second set to obtain the ghost attenuation coefficient.
5. The image capturing method according to claim 4, wherein obtaining the valid signal for the second frame period comprises:
subtracting from the second image the product of the th image and the ghosting attenuation coefficient.
6. The image acquisition method according to claim 2, wherein the ghosting attenuation parameter is a ghosting attenuation curve.
7. The image acquisition method according to claim 6, wherein obtaining an attenuation curve of ghosting from the image set comprises:
calculating the gray level average value of each image in the th image set to obtain a th set;
obtaining a third set and a fourth set according to the th set;
drawing points with the numerical values in the third set as the abscissa and the numerical values in the fourth set as the ordinate in a same two-dimensional coordinate system, sequentially connecting to obtain the ghost attenuation curve,
wherein the third set is the gray average of the front frame images, and the fourth set is the gray average of the rear frame images.
8. The image capturing method according to claim 6, wherein obtaining the valid signal for the second frame period comprises:
taking the gray value of each pixel point of the th image as an abscissa, and acquiring the value of a corresponding ordinate on the afterimage attenuation curve;
and subtracting the value of the vertical coordinate from the gray value of each corresponding pixel point of the second image to obtain an effective signal of a second frame period.
9, kinds of ghost attenuation parameter survey system, characterized by, includes:
a camera bellows, a light source and an image acquisition device,
the light source and the image acquisition device are arranged in the dark box, and the light source is used for providing a bright environment/a non-bright environment for the image acquisition device.
10, image acquisition device, comprising:
an acquisition module for continuously acquiring images in a plurality of frame periods according to a pressing operation of a finger;
an calculation module connected to the acquisition module for calculating an attenuation coefficient of the afterimage according to the image;
and the second calculation module is respectively connected with the acquisition module and the th calculation module and is used for calculating effective signals according to the image information of two adjacent frame periods and the ghost attenuation coefficient.
An electronic device of the kind 11, , comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein,
the processor, when executing the computer program, implementing the image acquisition method of any of claims 1-7.
12, computer-readable storage medium having stored thereon a computer program, characterized in that,
the computer program, when executed by a processor, implements the image acquisition method of any of claims 1-7.
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