CN114025094A - Shooting method, mobile terminal and storage medium - Google Patents

Shooting method, mobile terminal and storage medium Download PDF

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Publication number
CN114025094A
CN114025094A CN202111321614.6A CN202111321614A CN114025094A CN 114025094 A CN114025094 A CN 114025094A CN 202111321614 A CN202111321614 A CN 202111321614A CN 114025094 A CN114025094 A CN 114025094A
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China
Prior art keywords
images
image
shooting
degree
frame
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Chinese (zh)
Inventor
代文慧
朱斌杰
赵紫辉
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Shenzhen Transsion Holdings Co Ltd
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Shenzhen Transsion Holdings Co Ltd
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Priority to CN202111321614.6A priority Critical patent/CN114025094A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • H04N23/63Control of cameras or camera modules by using electronic viewfinders
    • H04N23/631Graphical user interfaces [GUI] specially adapted for controlling image capture or setting capture parameters
    • H04N23/632Graphical user interfaces [GUI] specially adapted for controlling image capture or setting capture parameters for displaying or modifying preview images prior to image capturing, e.g. variety of image resolutions or capturing parameters
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • H04N23/667Camera operation mode switching, e.g. between still and video, sport and normal or high- and low-resolution modes
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • H04N23/698Control of cameras or camera modules for achieving an enlarged field of view, e.g. panoramic image capture
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/95Computational photography systems, e.g. light-field imaging systems
    • H04N23/951Computational photography systems, e.g. light-field imaging systems by using two or more images to influence resolution, frame rate or aspect ratio

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Human Computer Interaction (AREA)
  • Computing Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Studio Devices (AREA)

Abstract

The application relates to a shooting method, a mobile terminal and a storage medium, wherein the shooting method comprises the following steps: collecting at least two frames of images in response to a shooting operation; and judging the first parameters of at least two frames of images, and selecting at least one frame of image as a clear image to be output. By the method, the original image can be selected for output based on analysis of the original image, hardware cost is not increased, the field angle is not lost, the original image quality is reserved, and requirements for meeting the cost and the image quality are met.

Description

Shooting method, mobile terminal and storage medium
Technical Field
The application relates to the technical field of terminals, in particular to a shooting method, a mobile terminal and a storage medium.
Background
With the rapid development of terminal technology, the functions of mobile terminals such as mobile phones and tablet computers are also improved, and the mobile terminals become one of the common tools in daily life and work.
In the course of conceiving and implementing the present application, the inventors found that at least the following problems existed: the OIS anti-shake needs to be completed through components such as a lens driving motor, and the cost is high, while the EIS anti-shake algorithm needs to cut the view angle of the picture and has an influence on the picture quality, and the existing anti-shake technology cannot meet the requirements of the cost and the picture quality.
The foregoing description is provided for general background information and is not admitted to be prior art.
Disclosure of Invention
In view of the above technical problems, the present application provides a shooting method, a mobile terminal, and a storage medium, which can select an original image to output based on a shift degree between shooting objects, without increasing hardware cost and loss of a field angle, retain original image quality, and satisfy requirements of cost and image quality.
In order to solve the above technical problem, the present application provides a shooting method, including the following steps:
step S1, collecting at least two frames of images in response to the shooting operation;
and step S2, judging the first parameters of the at least two frames of images, and selecting at least one frame of image as a clear image to be output.
Optionally, before the step S1, the method further includes:
step S01: after entering a preview picture, selecting at least one mark characteristic of a shot object in the preview picture;
step S02: and determining at least one mark point position corresponding to the mark feature and used for representing the position of the shooting object.
Optionally, the method further comprises:
after entering a preview picture, detecting whether a shooting mode is a preset mode and/or a shooting scene is a preset scene;
if yes, executing the step S01 or the step S1; and/or, if not, not performing the step S01 or the step S1.
Optionally, the marking feature includes at least one of a contour and a specific location.
Optionally, the marker point position comprises at least one of a contour center point position, a center of gravity position, a bone structure position.
Optionally, the step S02 includes:
and determining at least one mark point position corresponding to the mark feature according to the type and/or the shooting scene of the shooting object.
Optionally, the type of the photographic subject includes at least one of a person, a building, and an animal.
Optionally, the shooting scene includes at least one of a dynamic scene, a static scene, and a night scene.
Optionally, determining at least one marker point location comprises at least one of:
when the shooting scene is a static scene, determining a mark point position corresponding to the mark feature;
when the shooting scene is a dynamic scene and/or a low-brightness scene, determining at least two mark point positions corresponding to the mark features;
and when the type of the shooting object is a person, determining the position of at least one preset point on the marking feature as a marking point position.
Optionally, the first parameter includes a degree of offset, and the step S2 includes:
identifying the mark features in each frame of image;
acquiring a marking point position corresponding to each marking feature in each frame image;
calculating the offset degree between the positions of corresponding mark points in the front and rear frame images;
the maximum value and/or the average value of the degree of shift between the mark point positions of the preceding and following frame images is selected as the degree of shift between the subjects of the preceding and following frame images.
Optionally, the calculating a degree of offset between positions of corresponding mark points in the previous and subsequent frame images includes:
calculating the offset distance between the positions of corresponding mark points in the front and rear frame images;
and calculating the ratio of the offset distance to the acquisition time interval of the front and rear frame images to obtain the offset degree between the positions of corresponding mark points in the front and rear frame images.
Optionally, the first parameter includes a degree of offset, and the step S2 includes:
calculating the offset distance between the shot objects in the front and rear frame images;
and calculating the ratio of the offset distance to the acquisition time interval of the front and rear frame images to obtain the offset degree between the shooting objects of the front and rear frame images.
Optionally, the first parameter includes a degree of offset, and the step S2 includes:
step S21: detecting whether the offset degree between the shot objects of the front frame image and the back frame image meets a preset condition or not;
step S22: and selecting at least one frame of image as a clear image to be output according to the detection result.
Optionally, the step S22 includes:
if the deviation degree between the shot objects of the front frame image and the back frame image meets the preset condition, selecting the image from at least two frame images collected at this time as a clear image to be output; and/or the presence of a gas in the gas,
and if the deviation degrees between the shooting objects of any front frame image and any rear frame image do not accord with the preset condition, acquiring at least two frame images again for selection.
Optionally, the selecting an image from the at least two frames of images acquired this time as a clear image output includes at least one of:
selecting a next frame image from the previous and next frame images with the minimum offset degree as a clear image to be output;
and selecting the next frame image from the previous and next frame images with the deviation degrees meeting the preset conditions as a clear image to be output.
Optionally, the acquiring at least two frames of images again for selection includes:
step S221: collecting at least two frames of images again;
step S222: and selecting at least one frame image as a clear image to be output according to the deviation degree between the shooting objects of the front frame image and the rear frame image in the at least two re-collected frame images.
Optionally, the step S222 includes:
calculating the offset degree between the shot objects of the front frame image and the back frame image in the at least two re-collected frames of images;
if the deviation degree between the shooting objects of the front frame image and the back frame image in the at least two re-collected images meets the preset condition, selecting at least one image from the at least two re-collected images for outputting; and/or the presence of a gas in the gas,
and if the deviation degree between the shooting objects of any front frame image and any rear frame image in the at least two re-collected frames of images does not accord with the preset condition, selecting at least one image from the at least two re-collected frames of images and the at least two collected frames of images for outputting.
Optionally, the selecting at least one image from the at least two re-acquired images and the at least two acquired images for output includes:
sequencing the deviation degrees between the shooting objects of the at least two re-collected frames of images and the front and back frames of images in the at least two collected frames of images;
and selecting at least one frame of image as a clear image output based on the sorting result.
The present application further provides a mobile terminal, including: the device comprises a memory and a processor, wherein the memory stores a shooting program, and the shooting program realizes the steps of any one of the methods when being executed by the processor.
The present application also provides a computer-readable storage medium, which stores a computer program that, when executed by a processor, performs the steps of the method as set forth in any one of the above.
As described above, the photographing method, the mobile terminal, and the storage medium of the present application include the steps of: collecting at least two frames of images in response to a shooting operation; and judging the first parameters of at least two frames of images, and selecting at least one frame of image as a clear image to be output. By the method, the original image can be selected for output based on analysis of the original image, hardware cost is not increased, the field angle is not lost, the original image quality is reserved, and requirements for meeting the cost and the image quality are met.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic hardware structure diagram of a mobile terminal implementing various embodiments of the present application;
fig. 2 is a communication network system architecture diagram according to an embodiment of the present application;
fig. 3 is a flowchart illustrating a photographing method according to the first embodiment;
fig. 4 is a schematic diagram showing the degree of shift of the marker point position in the photographing method according to the first embodiment;
fig. 5 is a specific flowchart of the photographing method shown according to the first embodiment.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings. With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
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, the recitation of an element by the phrase "comprising an … …" does not exclude the presence of additional like elements in the process, method, article, or apparatus that comprises the element, and further, where similarly-named elements, features, or elements in different embodiments of the disclosure may have the same meaning, or may have different meanings, that particular meaning should be determined by their interpretation in the embodiment or further by context with the embodiment.
It should be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope herein. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context. Also, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used in this specification, specify the presence of stated features, steps, operations, elements, components, items, species, and/or groups, but do not preclude the presence, or addition of one or more other features, steps, operations, elements, components, species, and/or groups thereof. The terms "or," "and/or," "including at least one of the following," and the like, as used herein, are to be construed as inclusive or mean any one or any combination. For example, "includes at least one of: A. b, C "means" any of the following: a; b; c; a and B; a and C; b and C; a and B and C ", again for example," A, B or C "or" A, B and/or C "means" any of the following: a; b; c; a and B; a and C; b and C; a and B and C'. An exception to this definition will occur only when a combination of elements, functions, steps or operations are inherently mutually exclusive in some way.
It should be understood that, although the steps in the flowcharts in the embodiments of the present application are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least some of the steps in the figures may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, in different orders, and may be performed alternately or at least partially with respect to other steps or sub-steps of other steps.
The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
It should be noted that step numbers such as S1 and S2 are used herein for the purpose of more clearly and briefly describing the corresponding content, and do not constitute a substantial limitation on the sequence, and those skilled in the art may perform S2 first and then S1 in specific implementation, which should be within the scope of the present application.
It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for the convenience of description of the present application, and have no specific meaning in themselves. Thus, "module", "component" or "unit" may be used mixedly.
The mobile terminal may be implemented in various forms. For example, the mobile terminal described in the present application may include mobile terminals such as a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, and the like, and fixed terminals such as a Digital TV, a desktop computer, and the like.
The following description will be given taking a mobile terminal as an example, and it will be understood by those skilled in the art that the configuration according to the embodiment of the present application can be applied to a fixed type terminal in addition to elements particularly used for mobile purposes.
Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present application, the mobile terminal 100 may include: RF (Radio Frequency) unit 101, WiFi module 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 1 is not intended to be limiting of mobile terminals, which may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
The following describes each component of the mobile terminal in detail with reference to fig. 1:
the radio frequency unit 101 may be configured to receive and transmit signals during information transmission and reception or during a call, and specifically, receive downlink information of a base station and then process the downlink information to the processor 110; in addition, the uplink data is transmitted to the base station. Typically, radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 can also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division duplex-Long Term Evolution), TDD-LTE (Time Division duplex-Long Term Evolution, Time Division Long Term Evolution), 5G, and so on.
WiFi belongs to short-distance wireless transmission technology, and the mobile terminal can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 102, and provides wireless broadband internet access for the user. Although fig. 1 shows the WiFi module 102, it is understood that it does not belong to the essential constitution of the mobile terminal, and may be omitted entirely as needed within the scope not changing the essence of the invention.
The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output as sound when the mobile terminal 100 is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, and the like.
The a/V input unit 104 is used to receive audio or video signals. The a/V input Unit 104 may include a Graphics Processing Unit (GPU) 1041 and a microphone 1042, the Graphics processor 1041 Processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphic processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 may receive sounds (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, or the like, and may be capable of processing such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 101 in case of a phone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.
The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Optionally, the light sensor includes an ambient light sensor that may adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that may turn off the display panel 1061 and/or the backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.
The display unit 106 is used to display information input by a user or information provided to the user. The Display unit 106 may include a Display panel 1061, and the Display panel 1061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.
The user input unit 107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Alternatively, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect a touch operation performed by a user on or near the touch panel 1071 (e.g., an operation performed by the user on or near the touch panel 1071 using a finger, a stylus, or any other suitable object or accessory), and drive a corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. Optionally, the touch detection device detects a touch orientation of a user, detects a signal caused by a touch operation, and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and can receive and execute commands sent by the processor 110. In addition, the touch panel 1071 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may include other input devices 1072. Optionally, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like, and are not limited thereto.
Alternatively, the touch panel 1071 may cover the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although the touch panel 1071 and the display panel 1061 are shown in fig. 1 as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.
The interface unit 108 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and external devices.
The memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a program storage area and a data storage area, and optionally, the program storage area may store an operating system, an application program (such as a sound playing function, an image playing function, and the like) required by at least one function, and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 109 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The processor 110 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby performing overall monitoring of the mobile terminal. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor and a modem processor, optionally, the application processor mainly handles operating systems, user interfaces, application programs, etc., and the modem processor mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.
The mobile terminal 100 may further include a power supply 111 (e.g., a battery) for supplying power to various components, and preferably, the power supply 111 may be logically connected to the processor 110 via a power management system, so as to manage charging, discharging, and power consumption management functions via the power management system.
Although not shown in fig. 1, the mobile terminal 100 may further include a bluetooth module or the like, which is not described in detail herein.
In order to facilitate understanding of the embodiments of the present application, a communication network system on which the mobile terminal of the present application is based is described below.
Referring to fig. 2, fig. 2 is an architecture diagram of a communication Network system according to an embodiment of the present disclosure, where the communication Network system is an LTE system of a universal mobile telecommunications technology, and the LTE system includes a UE (User Equipment) 201, an E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) 202, an EPC (Evolved Packet Core) 203, and an IP service 204 of an operator, which are in communication connection in sequence.
Optionally, the UE201 may be the terminal 100 described above, and is not described herein again.
The E-UTRAN202 includes eNodeB2021 and other eNodeBs 2022, among others. Alternatively, the eNodeB2021 may be connected with other enodebs 2022 through a backhaul (e.g., X2 interface), the eNodeB2021 is connected to the EPC203, and the eNodeB2021 may provide the UE201 access to the EPC 203.
The EPC203 may include an MME (Mobility Management Entity) 2031, an HSS (Home Subscriber Server) 2032, other MMEs 2033, an SGW (Serving gateway) 2034, a PGW (PDN gateway) 2035, and a PCRF (Policy and Charging Rules Function) 2036, and the like. Optionally, the MME2031 is a control node that handles signaling between the UE201 and the EPC203, providing bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location register (not shown) and holds subscriber specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034, PGW2035 may provide IP address assignment for UE201 and other functions, and PCRF2036 is a policy and charging control policy decision point for traffic data flow and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).
The IP services 204 may include the internet, intranets, IMS (IP Multimedia Subsystem), or other IP services, among others.
Although the LTE system is described as an example, it should be understood by those skilled in the art that the present application is not limited to the LTE system, but may also be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems (e.g. 5G), and the like.
Based on the above mobile terminal hardware structure and communication network system, various embodiments of the present application are provided.
First embodiment
Fig. 3 is a flowchart illustrating a photographing method according to the first embodiment. As shown in fig. 3, the photographing method of the present application includes the steps of:
step S1, collecting at least two frames of images in response to the shooting operation;
and step S2, judging the first parameters of at least two frames of images, and selecting at least one frame of image as a clear image to be output.
Optionally, the first parameter comprises a degree of offset. Alternatively, the degree of offset includes a degree of offset between photographic subjects of the preceding and succeeding frame images. By the mode, the original image can be selected to be output based on the offset degree between the shot objects, the hardware cost is not increased, the method is suitable for middle and low-end mobile phone products, the field angle is not lost, the original image quality can be reserved, and the requirements for meeting the cost and the image quality are met.
Optionally, before step S1, the method further includes:
step S01: after entering the preview picture, selecting at least one mark characteristic of a shot object in the preview picture;
step S02: and determining at least one mark point position corresponding to the mark feature and used for representing the position of the shooting object.
Optionally, the marking feature includes at least one of a contour, a specific location. After entering the preview screen, the preview screen is subject-divided to identify the mark feature of the object to be photographed, which may be at least one of a person, a building, and an animal, and may be a figure that identifies the object to be photographed, for example, the outline of the person, the building, and the animal, or may be a specific part of the object to be photographed, for example, the head, the shoulder, and the leg of the person.
Optionally, the marker point position comprises at least one of a contour center point position, a center of gravity position, a bone structure position. After the mark feature of the shooting object in the preview picture is selected, at least one mark point position for representing the position of the shooting object is determined according to the mark feature, wherein the mark point position can be at least one of a contour central point position, a gravity center position and a skeleton structure position, for example, the mark point position determined according to the contour of a person is a head top position, two shoulder positions, an elbow position and the like in the skeleton structure position, the mark point position determined according to the facial feature of the person can be an eye, a mouth and the like, and the mark point position determined according to the contour feature of a building can be a central point position or a gravity center position and the like of the building.
Optionally, step S02, includes:
and determining at least one mark point position corresponding to the mark feature according to the type of the shooting object and/or the shooting scene.
Optionally, the type of the photographic subject includes at least one of a person, a building, and an animal. Optionally, the shooting scene includes at least one of a dynamic scene, a static scene, and a night scene, where the dynamic scene is a scene in which a moving shooting target is included in a picture, the static scene is a scene in which a moving shooting target is not included in a picture, and the dynamic scene and the static scene can be obtained by determining a moving distance of the shooting target during preview, because the moving distance of the shooting target during movement is significantly greater than a moving distance caused by shaking during shooting, the night scene can be obtained by detecting ambient brightness or analyzing brightness of the preview picture. Alternatively, the shooting scene may also be determined according to a setting operation by the user. Optionally, when the type of the shooting object is a person and the shooting scene is a dynamic scene, a plurality of mark point positions such as a top position, two shoulder positions, an elbow position, eyes and the like can be determined according to the outline or a specific part of the person; when the type of the shooting object is a character and the shooting scene is a static scene, any position such as the position of the top of the head, the positions of two shoulders, the positions of elbows, eyes and the like can be determined as the position of the mark point according to the outline of the character; when the type of the shooting object is a building, any position of a center point position, a gravity center position, a roof and the like of the building can be determined according to the outline of the building to be used as a mark point position; when the shooting scene is a static scene, selecting a position as a mark point position; and when the shooting scene is a dynamic scene, selecting at least two positions as the positions of the mark points. Therefore, the position of the mark point is determined according to the type of the shooting object and/or the shooting scene, and the position and the number of the mark point can meet the analysis precision requirement of the offset degree.
Optionally, determining at least one marker point location comprises at least one of:
when the shooting scene is a static scene, determining a mark point position corresponding to the mark feature;
when the shooting scene is a dynamic scene and/or a low-brightness scene, determining at least two mark point positions corresponding to the mark characteristics;
and when the type of the shooting object is a person, determining the position of at least one preset point on the marking feature as the marking point position.
Optionally, the number of the marker positions determined by the dynamic scene is greater than the number of the marker positions determined by the static scene, so that the offset degrees of different parts of the shot object can be comprehensively evaluated; the number of the marking point positions determined by the low-brightness scene is larger than that of the marking point positions determined by the high-brightness scene, so that enough data can be provided for analysis when the light is insufficient, and the accuracy is improved; when the type of the shooting object is a person, the marking point position selects preset points in skeleton structure positions, such as the vertex, the elbow, the knee and the like, so that the position information of the marking point position can be more accurately captured.
Optionally, the number of captured images may also be determined depending on the shooting scene. Optionally, the number of images acquired by the dynamic scene is greater than that of images acquired by the static scene, and optionally, the number of images acquired by the dynamic scene is greater than or equal to twice that of images acquired by the static scene, so that for scenes such as the dynamic scene in which the motion of the photographic object is relatively complex, reasonable image analysis can be selectively performed based on more images, for example, the previous frames of images can be analyzed first, whether the next frames of images are analyzed or not is determined according to the analysis result, the calculation amount is reduced, and the situation that the ideal picture cannot be captured due to the fact that the time interval between the acquisition of the images in different batches is too long can be avoided.
Through the process, the number of the collected images and the positions and/or the numbers of the mark point positions can be selected in a targeted manner according to the type and/or the shooting scene of the shooting object, and the reasonability and the calculation accuracy of the calculated amount can be considered when the deviation degree of the shooting object in the front frame image and the back frame image is calculated.
Optionally, step S2, includes:
identifying the mark features in each frame of image;
acquiring a marking point position corresponding to each marking feature in each frame image;
calculating the offset degree between the positions of corresponding mark points in the front and rear frame images;
the maximum value and/or the average value of the degree of shift between the mark point positions of the preceding and following frame images is selected as the degree of shift between the subjects of the preceding and following frame images.
Optionally, according to the mark features identified in the preview image, the corresponding mark features in each frame of image are identified in the captured image, and according to the rule for determining the mark point positions in the preview image, the mark point position corresponding to each mark feature in each frame of image is determined in the captured image. Then, the degree of deviation between the positions of the corresponding mark points in the previous and subsequent frame images, for example, the degree of deviation between the vertex positions in the two frame images, and the degree of deviation between the positions of the glasses in the two frame images, is calculated, and the data of the degree of deviation corresponding to each frame image corresponds to the number of the mark point positions in each frame image. Alternatively, the maximum value of the degree of shift between the mark point positions of the preceding and following frame images is selected as the degree of shift between the subjects of the preceding and following frame images, for example, the degree of shift between the parietal positions in the two frame images is larger than the degree of shift between the eyeglass positions in the two frame images, and the degree of shift between the parietal positions is selected as the degree of shift between the subjects of the preceding and following frame images, so that the screened images can be made clearer. Alternatively, an average value of the degrees of deviation between the mark point positions of the previous and subsequent frame images may be selected as the degree of deviation between the photographic subjects of the previous and subsequent frame images, thereby increasing the screening rate of the images under appropriate definition requirements. Optionally, the maximum value and the average value of the shift degrees between the mark point positions of the previous and next frame images may be simultaneously selected as the shift degree between the shooting objects of the previous and next frame images, so that the definition requirement and the image screening rate can be considered at the same time.
Optionally, calculating the degree of offset between the positions of the corresponding mark points in the previous and next frame images includes:
calculating the offset distance between the positions of corresponding mark points in the front and rear frame images;
and calculating the ratio of the offset distance to the acquisition time interval of the front and rear frame images to obtain the offset degree between the positions of corresponding mark points in the front and rear frame images.
Fig. 4 is a schematic diagram showing the degree of shift of the marker point position in the photographing method shown according to the first embodiment. As shown in fig. 4, the point (a, B) is the mark point position of the photographic subject in the previous image, the point (a '″, B' ″) is the mark point position of the photographic subject in the subsequent image, Δ s is the offset distance between the point (a, B) and the point (a '″, B'), the ratio between the offset distance Δ s and the acquisition time interval Δ t of the previous and subsequent images is calculated, and the degree of offset Δ s/Δ t between the corresponding mark point positions in the previous and subsequent images is obtained, which is used to represent the relative speed at which the photographic subject in the previous and subsequent images is offset, and the speed and magnitude of the shake are reflected more comprehensively and more accurately than when only the magnitude of the offset distance is considered.
Optionally, step S2, includes:
calculating the offset distance between the shot objects in the front and rear frame images;
and calculating the ratio of the offset distance to the acquisition time interval of the front and rear frame images to obtain the offset degree between the shooting objects of the front and rear frame images.
Optionally, the mark point positions are used for representing positions of the shot objects, a maximum value and/or an average value of offset distances between the mark point positions of the previous and next frame images may be selected as the offset distances between the shot objects of the previous and next frame images, and a ratio between the offset distance between the shot objects of the previous and next frame images and the acquisition time interval of the previous and next frame images is calculated to obtain the offset degree between the shot objects of the previous and next frame images.
Optionally, step S2, further includes:
step S21: detecting whether the offset degree between the shot objects of the front frame image and the back frame image meets a preset condition or not;
step S22: and selecting at least one frame of image as a clear image to be output according to the detection result.
Optionally, the meeting of the preset condition includes that the degree of deviation between the photographic subjects of the previous and next frame images is less than or equal to a preset threshold, and optionally, the preset threshold is 10 pxl/s. Alternatively, when the maximum value and/or the average value is selected as described above, it is only necessary that any one of the maximum value and/or the average value is less than or equal to the preset threshold value, and the preset condition can be considered to be met.
Optionally, at least one frame of image is selected from all the shot images to be output as a clear image, or at least one frame of image is selected from analyzed images to be output as a clear image, wherein the number of the analyzed images is less than the total number of the shot images. Alternatively, the first N (N < X) images in the X acquired images may be analyzed, the degree of shift between corresponding mark point positions in the previous and subsequent frame images of the first N images may be calculated, whether the degree of shift between the objects of the previous and subsequent frame images meets a preset condition may be detected, if the preset condition is met, at least one frame image may be selected from the previous N images to be output as a clear image, the remaining images may not be analyzed and deleted, if the preset condition is not met, the subsequent M (N + M ═ X) images may be continuously analyzed, the degree of shift between corresponding mark point positions in the previous and subsequent frame images may be calculated, whether the degree of shift between the objects of the previous and subsequent frame images meets the preset condition may be detected, if the preset condition is met, at least one frame image may be selected from the subsequent M images to be output as a clear image, if the degree of shift between the objects of the previous and subsequent frame images in the subsequent M images does not meet the preset condition, the degrees of displacement between the photographic subjects of the front and rear frame images in all the X images may be sorted, and at least one frame image may be selected as a clear image to be output based on the sorting result. Therefore, by acquiring more images at one time and analyzing the images in batches, the calculated amount can be reduced when the jitter is small, and the situation that the ideal picture cannot be captured due to overlong image acquisition time intervals of different batches can be avoided.
Optionally, step S22, includes:
if the deviation degree between the shot objects of the front frame image and the back frame image meets the preset condition, selecting the image from at least two frame images collected at this time as a clear image to be output; and/or the presence of a gas in the gas,
and if the deviation degrees between the shooting objects of any front frame image and any rear frame image do not accord with the preset condition, acquiring at least two frame images again for selection.
Optionally, if the offset degree between the objects of the previous and subsequent frame images in the image collected this time meets a preset condition, selecting the image from the at least two frame images collected this time as a clear image to be output, otherwise, if the offset degree between the objects of any previous and subsequent frame images in the image collected this time does not meet the preset condition, collecting the at least two frame images again to select. For example, the user may be prompted to keep the picture for 3 seconds, within 3 seconds, a preset number of images may be collected first for analysis, if the analysis result does not meet the preset condition, the images may be collected again for analysis, and in the process of keeping the picture, the position difference of the shot object between different batches of images may be reduced, and the analysis accuracy may be improved.
Optionally, when the offset degree between the shot objects of any previous and subsequent frame images in the image collected this time does not meet the preset condition, the offset degree between the shot objects of the previous and subsequent frame images in at least two frame images collected this time can be sorted, and based on the sorting result, at least one frame image is selected as a clear image to be output without being collected, so that the method is suitable for a dynamic scene.
Optionally, in step S22, selecting an image from the at least two frames of images acquired this time as a sharp image output, where the image includes at least one of:
selecting a next frame image from the previous and next frame images with the minimum offset degree as a clear image to be output;
and selecting the next frame image from the previous and next frame images with the deviation degrees meeting the preset conditions as a clear image to be output.
Optionally, according to the analysis result, one image or a plurality of images may be output for the user to refer to and select.
Optionally, in step S22, at least two frames of images are collected again for selection, including:
step S221: collecting at least two frames of images again;
step S222: and selecting at least one frame image as a clear image to be output according to the deviation degree between the shooting objects of the front frame image and the rear frame image in the at least two re-collected frame images.
Optionally, step S222 includes:
calculating the offset degree between the shot objects of the front frame image and the back frame image in the at least two re-collected frames of images;
if the deviation degree between the shooting objects of the front frame image and the back frame image in the at least two re-collected images meets the preset condition, selecting at least one image from the at least two re-collected images for outputting; and/or the presence of a gas in the gas,
and if the deviation degree between the shooting objects of any front frame image and any rear frame image in the at least two re-collected frames of images does not accord with the preset condition, selecting at least one image from the at least two re-collected frames of images and the at least two collected frames of images for outputting.
Optionally, selecting at least one image from the at least two re-acquired frames of images and the at least two acquired frames of images for output includes:
sequencing the deviation degrees between the shot objects of the at least two re-collected frames of images and the front and back frames of images in the at least two collected frames of images;
and selecting at least one frame of image as a clear image output based on the sorting result.
Optionally, when at least two frames of images need to be acquired again for selection, the offset degree between the objects of the previous and next frames of images in the at least two frames of images acquired again is calculated first, if an image satisfying the condition exists, the image is output, if an image not satisfying the condition does not exist, the image can be analyzed in combination with the image acquired at the previous time, the offset degrees between the objects of the previous and next frames of images in the at least two frames of images acquired at the previous and next times are sorted, and based on the sorting result, at least one frame of image is selected as a clear image to be output, for example, the image with the highest offset degree is selected as a clear image to be output, or an image with the offset degree arranged at the top Y position is selected as a clear image to be output.
Optionally, the method of the present application further includes:
after entering a preview picture, detecting whether a shooting mode is a preset mode and/or a shooting scene is a preset scene;
if yes, go to step S01 or step S1; and/or, if not, not executing step S01 or step S1.
Optionally, the preset mode includes at least one of a photographing mode and a panoramic photographing mode, after the preview screen is entered, if the current photographing mode is a video recording mode, the step S01 or the step S1 may be selected not to be executed, or the user is prompted whether to continue to execute the step S01 or the step S1, if the user selects to continue to execute the step S01 or the step S1, the number of the acquired images is greater than the number of the images acquired when the step S01 or the step S1 is not executed, so as to meet the requirement of image screening during the anti-shake processing, and improve the fluency of the video. In the video recording mode, the collected images are grouped, each preset number of continuously collected images is one group, at least one image is selected from each group of images to serve as a clear image, video synthesis is performed on the clear images in each group of images according to the sequence of the collection time, the selection of the clear images in the video recording mode is the same as that described above, and the video synthesis of multiple images is known by those skilled in the art and is not repeated herein. Optionally, the preset scene includes at least one of a dynamic scene, a static scene, and a low-brightness scene.
Fig. 5 is a specific flowchart of the photographing method shown according to the first embodiment. As shown in fig. 5, after entering the preview screen, at least one mark feature of the photographic object in the preview screen is selected, and then at least one mark point position corresponding to the mark feature and used for representing the position of the photographic object is determined. And then, the user clicks to shoot, responds to shooting operation, collects at least two frames of images, calculates the offset degree between the corresponding mark point positions of the front and rear frames of images in all the images collected at this time, or calculates the offset degree between the corresponding mark point positions of the front and rear frames of images in the front and rear N images collected at this time, and determines the offset degree between the shot objects of the front and rear frames of images according to the calculation result, wherein the offset degree between the shot objects of the front and rear frames of images can be the maximum value and/or the average value of the offset degrees between the corresponding mark point positions of the front and rear frames of images. And then judging whether the deviation degree meets a preset condition, if so, selecting an image from the at least two frames of images acquired and/or analyzed at this time as a clear image to be output, and/or if not, acquiring the at least two frames of images again or analyzing the next M images in the images acquired at this time, and selecting at least one frame of image from the at least two frames of images acquired at this time, the images acquired at this time and the M images acquired at this time to be output as the clear image according to an analysis result. The detailed execution process of the above steps is the same as that described above and is not described again.
The shooting method responds to shooting operation and collects at least two frames of images; and selecting at least one frame image as a clear image to be output according to the offset degree between the shooting objects of the front frame image and the rear frame image in the at least two frame images. By the mode, the original image can be selected and output based on the offset degree between the shooting objects, the hardware cost is not increased, the field angle is not lost, the original image quality is reserved, and the requirements of cost and image quality are met.
An embodiment of the present application further provides a mobile terminal, including: the device comprises a memory and a processor, wherein the memory stores a shooting program, and the shooting program realizes the steps of any one of the methods when being executed by the processor.
Embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps of any one of the above methods.
In the embodiments of the mobile terminal and the computer-readable storage medium provided in the present application, all technical features of any one of the above-described embodiments of the shooting method may be included, and the expanding and explaining contents of the specification are basically the same as those of the above-described embodiments of the method, and are not described herein again.
Embodiments of the present application also provide a computer program product, which includes computer program code, when the computer program code runs on a computer, the computer is caused to execute the method in the above various possible embodiments.
Embodiments of the present application further provide a chip, which includes a memory and a processor, where the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that a device in which the chip is installed executes the method in the above various possible embodiments.
It is to be understood that the foregoing scenarios are only examples, and do not constitute a limitation on application scenarios of the technical solutions provided in the embodiments of the present application, and the technical solutions of the present application may also be applied to other scenarios. For example, as can be known by those skilled in the art, with the evolution of system architecture and the emergence of new service scenarios, the technical solution provided in the embodiments of the present application is also applicable to similar technical problems.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
The steps in the method of the embodiment of the application can be sequentially adjusted, combined and deleted according to actual needs.
The units in the device in the embodiment of the application can be merged, divided and deleted according to actual needs.
In the present application, the same or similar term concepts, technical solutions and/or application scenario descriptions will be generally described only in detail at the first occurrence, and when the description is repeated later, the detailed description will not be repeated in general for brevity, and when understanding the technical solutions and the like of the present application, reference may be made to the related detailed description before the description for the same or similar term concepts, technical solutions and/or application scenario descriptions and the like which are not described in detail later.
In the present application, each embodiment is described with emphasis, and reference may be made to the description of other embodiments for parts that are not described or illustrated in any embodiment.
The technical features of the technical solution of the present application may be arbitrarily combined, and for brevity of description, all possible combinations of the technical features in the embodiments are not described, however, as long as there is no contradiction between the combinations of the technical features, the scope of the present application should be considered as being described in the present application.
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 (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, a controlled terminal, or a network device) to execute the method of each embodiment of the present application.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the present application are all or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, digital subscriber line) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, memory Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are included in the scope of the present application.

Claims (14)

1. A photographing method characterized by comprising the steps of:
step S1, collecting at least two frames of images in response to the shooting operation;
and step S2, judging the first parameters of the at least two frames of images, and selecting at least one frame of image as a clear image to be output.
2. The method according to claim 1, wherein before the step S1, the method further comprises:
step S01: after entering a preview picture, selecting at least one mark characteristic of a shot object in the preview picture;
step S02: and determining at least one mark point position corresponding to the mark feature and used for representing the position of the shooting object.
3. The method of claim 2, further comprising:
after entering a preview picture, detecting whether a shooting mode is a preset mode and/or a shooting scene is a preset scene;
if yes, executing the step S01 or the step S1; and/or, if not, not performing the step S01 or the step S1.
4. The method of claim 2, wherein determining at least one marker point location comprises at least one of:
when the shooting scene is a static scene, determining a mark point position corresponding to the mark feature;
when the shooting scene is a dynamic scene and/or a low-brightness scene, determining at least two mark point positions corresponding to the mark features;
and when the type of the shooting object is a person, determining the position of at least one preset point on the marking feature as a marking point position.
5. The method according to claim 2, wherein the first parameter comprises a degree of deviation, and the step S2 comprises:
identifying the mark features in each frame of image;
acquiring a marking point position corresponding to each marking feature in each frame image;
calculating the offset degree between the positions of corresponding mark points in the front and rear frame images;
the maximum value and/or the average value of the degree of shift between the mark point positions of the preceding and following frame images is selected as the degree of shift between the subjects of the preceding and following frame images.
6. The method according to any one of claims 1 to 5, wherein the first parameter comprises a degree of deviation, and the step S2 further comprises:
calculating the offset distance between the shot objects in the front and rear frame images;
and calculating the ratio of the offset distance to the acquisition time interval of the front and rear frame images to obtain the offset degree between the shooting objects of the front and rear frame images.
7. The method according to any one of claims 1 to 5, wherein the first parameter comprises a degree of deviation, and the step S2 comprises:
step S21: detecting whether the offset degree between the shot objects of the front frame image and the back frame image meets a preset condition or not;
step S22: and selecting at least one frame of image as a clear image to be output according to the detection result.
8. The method according to claim 7, wherein the step S22 includes:
if the deviation degree between the shot objects of the front frame image and the back frame image meets the preset condition, selecting the image from at least two frame images collected at this time as a clear image to be output; and/or the presence of a gas in the gas,
and if the deviation degrees between the shooting objects of any front frame image and any rear frame image do not accord with the preset condition, acquiring at least two frame images again for selection.
9. The method according to claim 8, wherein the selecting an image from the at least two frames of images acquired this time as a clear image output comprises at least one of:
selecting a next frame image from the previous and next frame images with the minimum offset degree as a clear image to be output;
and selecting the next frame image from the previous and next frame images with the deviation degrees meeting the preset conditions as a clear image to be output.
10. The method of claim 8, wherein said reacquiring at least two frames of images is selected comprising:
step S221: collecting at least two frames of images again;
step S222: and selecting at least one frame image as a clear image to be output according to the deviation degree between the shooting objects of the front frame image and the rear frame image in the at least two re-collected frame images.
11. The method according to claim 10, wherein the step S222 comprises:
calculating the offset degree between the shot objects of the front frame image and the back frame image in the at least two re-collected frames of images;
if the deviation degree between the shooting objects of the front frame image and the back frame image in the at least two re-collected images meets the preset condition, selecting at least one image from the at least two re-collected images for outputting; and/or the presence of a gas in the gas,
and if the deviation degree between the shooting objects of any front frame image and any rear frame image in the at least two re-collected frames of images does not accord with the preset condition, selecting at least one image from the at least two re-collected frames of images and the at least two collected frames of images for outputting.
12. The method according to claim 11, wherein selecting at least one image from the at least two re-acquired images and the at least two acquired images for output comprises:
sequencing the deviation degrees between the shooting objects of the at least two re-collected frames of images and the front and back frames of images in the at least two collected frames of images;
and selecting at least one frame of image as a clear image output based on the sorting result.
13. A mobile terminal, characterized in that the mobile terminal comprises: memory, processor, wherein the memory has stored thereon a shooting program which when executed by the processor implements the steps of the shooting method of any one of claims 1 to 12.
14. A computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the photographing method according to any one of claims 1 to 12.
CN202111321614.6A 2021-11-09 2021-11-09 Shooting method, mobile terminal and storage medium Pending CN114025094A (en)

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