WO2020228792A1 - Image capture method and electronic device - Google Patents

Abstract

Provided in the present application are an image capture method and an electronic device. The method comprises: detecting an input operation, starting up a camera, displaying a viewfinder interface, the viewfinder interface comprising a preview image; detecting a first operation for an image capture control, displaying a first image, the first image being an image captured on the basis of initial image capture parameters, the first image displaying thereon weight information and image capture adjustment parameters of each image capture object; detecting a second operation used to store the first image, storing a second image, the second image being an image obtained after adjusting the first image according to the weight information and the image capture adjustment parameters of each image capture object. In the described method, a user does not need to find the first image from within a gallery and then modify the first image after the electronic device captures the first image and stores the first image. That is, the user may obtain an image that is more in line with the aesthetics of the user by means of fewer operation steps, and the operation is thus simple and the user experience is improved.

Description

Image shooting method and electronic equipment

This application claims the priority of the Chinese patent application filed with the State Intellectual Property Office of China with the application number 201910402906.9, and the priority of the Chinese patent application with the title of "An Image Shooting Method and Electronic Equipment" on May 15, 2019. The entire content is incorporated into this application by reference.

Technical field

This application relates to the field of terminal technology, and in particular to an image shooting method and electronic equipment.

Background technique

With the advancement of communication technology, various functions in electronic devices are constantly improving. Among them, the camera function in the electronic device has become one of the functions frequently used by users.

For example, when a user travels and encounters a beautiful landscape, the user hopes to take a high-quality image as a souvenir. However, most users are not professional photographers or photography enthusiasts, do not know the shooting technology, and do not know how to take good photos, resulting in stiff and dull photos taken, which will also affect the user's mood and reduce the user experience.

Summary of the invention

The purpose of the present application is to provide an image shooting method and electronic device, which can enable the electronic device to shoot images that meet the needs of users and improve user experience.

The above goals and other goals will be achieved through the features in the independent claims. Further implementations are embodied in the dependent claims, description and drawings.

In the first aspect, an image shooting method is provided, which can be executed by an electronic device, such as a mobile phone, an ipad, and so on. The method includes: detecting an input operation; in response to the input operation, starting a camera, and displaying a framing interface, the framing interface includes a preview image; detecting a first operation on a shooting control; in response to the first operation, A first image is displayed, the first image is an image taken based on initial shooting parameters, the weight information and shooting adjustment parameters of each subject are displayed on the first image; the first image used to store the first image is detected Second operation: In response to the second operation, a second image is stored, the second image being an image obtained after adjusting the first image according to the weight information and shooting adjustment parameters of each shooting object.

In the embodiment of the present application, after the electronic device detects the operation on the shooting control, the first image is captured. The electronic device does not directly store the first image, but can provide the user with the first image before storing the first image. An image retouching opportunity, and prompts the user the weight and shooting adjustment parameters of each subject on the first image for the user’s reference. When the electronic device detects the operation of storing the first image, the electronic device will The second image obtained after retouching is stored. In this method, the user does not need to capture the first image in the electronic device, and after storing the first image, find the first image from the gallery, and then retouch the first image, that is, the user passes through fewer operation steps. An image that is more in line with the user's aesthetics can be obtained, the operation is simple, and the user experience is improved.

In a possible design, before detecting the second operation for storing the first image, the electronic device may also detect the modification operation of the weight information and/or the shooting adjustment parameters for the first shooting object; In the modification operation, a third image is obtained by processing the first image, where the third image is an image obtained after adjusting the first image according to the modified weight information and/or shooting adjustment parameters; In response to the second operation, storing the second image includes: in response to the second operation, storing the third image.

In the embodiment of the present application, after the electronic device detects the operation on the shooting control, the first image is captured, and before the first image is stored, the user can be provided with the opportunity to edit the first image, and the user is prompted for the first image The weights and shooting adjustment parameters of each subject are listed for the user’s reference. The user can modify the weights and shooting adjustment parameters of each subject, and the electronic device can adjust the weights and/or shooting adjustment parameters of the first The image is adjusted to obtain the third image, and when the electronic device detects the operation of storing the first image, the electronic device stores the third image. In this method, the user does not need to capture the first image in the electronic device, and after storing the first image, find the first image from the gallery, and then retouch the first image, that is, the user passes through fewer operation steps. An image that is more in line with the user's aesthetics can be obtained, the operation is simple, and the user experience is improved.

In a possible design, the electronic device may also save the first image; wherein a first mark is set on the second image, and the first mark is not set on the first image.

In the embodiment of the present application, the electronic device can save the first image and the second image, that is, the electronic device can store the image before the retouching, or the image after the retouching. In order to facilitate the user to view, the second image A first mark is set on the top, and the first mark is used to indicate that the second image is an image after retouching, and the first mark may not be set on the first image. It should be understood that the first mark may be an icon and/or text, which is not limited in the embodiment of the present application.

In a possible design, the weight of each photographic object is determined according to the proportion of the area occupied by each photographic object in the first image; or it is preset; or it is determined according to a user selection operation Or, it is determined according to the user's operation behavior on the image stored in the electronic device.

It should be understood that the electronic device can self-learn the weight of each subject according to the user's operation behavior on the image stored in the electronic device. In this case, the electronic device can retouch the image based on the weight of each subject learned by itself. It is an image that fits the user's aesthetics.

In a possible design, the weight of each photographed object is determined according to the user's operation behavior on the image stored in the electronic device, including: the weight of each photographed object is determined according to the stored image Determined by the number of times that each subject is edited; or determined by the number of times that each subject in the stored image is cropped, or determined by the number of images containing each subject in all stored images of.

It should be understood that the electronic device can self-learn the weight of each subject according to the user's operation behavior on the image stored in the electronic device. In this case, the electronic device can retouch the image based on the weight of each subject learned by itself. It is an image that fits the user's aesthetics.

In a possible design, the shooting adjustment parameters of each shooting object are preset, or determined according to the image parameters adjusted by the user when retouching each shooting object in the image stored in the electronic device of.

It should be understood that the electronic device can self-learn the shooting adjustment parameters of each subject according to the user's operation behavior on the image stored in the electronic device. In this case, the electronic device can retouch the image based on the self-learned shooting adjustment parameters of each subject. , The obtained image is more in line with the user’s aesthetics.

In a possible design, displaying the weight information and shooting adjustment parameters of each subject on the first image includes: a blank area on the first image displays the weight information and shooting adjustment parameters of each subject. Adjustment parameters; or displaying the weight information and the shooting adjustment parameters of each object in the area where each object is located on the first image.

In the embodiments of this application, the weight information and shooting adjustment parameters of each subject can be displayed in a blank area on the first image, or can be displayed in the area where each subject is located on the first image. limited.

In a possible design, before detecting the second operation for storing the first image, the electronic device also detects a third operation; in response to the third operation, cancel on the first image Displaying the weight information and shooting adjustment parameters of each shooting object; in response to the second operation, storing a second image includes: in response to the second operation, storing the first image.

In the embodiment of the present application, after the electronic device detects the operation on the shooting control, the first image is captured, and before the first image is stored, the user can be provided with the opportunity to edit the first image, and the user is prompted for the first image The weight and shooting adjustment parameters of each subject are listed for the user's reference. The user can cancel the display of the weight and shooting adjustment parameters of each subject on the first image. In this case, the image stored by the electronic device is the one before the retouching The image is the first image. In this method, the electronic device allows the user to choose whether to edit the image or not, which is convenient for the user to operate and enhance the user experience.

In a second aspect, an electronic device is also provided, including at least one processor and memory. The memory is used to store one or more computer programs; when the one or more computer programs stored in the memory are executed by the at least one processor, the electronic device can realize the first aspect or any one of the first aspects. Design method.

In a third aspect, an electronic device is also provided, and the electronic device includes a module/unit that executes the first aspect or any one of the possible design methods of the first aspect. These modules/units can be realized by hardware, or by hardware executing corresponding software.

In a fourth aspect, a computer-readable storage medium is also provided. The computer-readable storage medium includes a computer program. When the computer program runs on an electronic device, the electronic device executes the first aspect or the above-mentioned first aspect. Any possible design method.

In a fifth aspect, a program product is also provided, which when the program product runs on an electronic device, causes the electronic device to execute the first aspect or any one of the possible design methods of the first aspect.

In a sixth aspect, a chip is also provided, which is coupled with a memory in an electronic device, and is used to call a computer program stored in the memory and execute the first aspect of the embodiments of this application and any possible design technology of the first aspect Solution: In the embodiments of this application, "coupled" means that two components are directly or indirectly combined with each other.

Description of the drawings

FIG. 1 is a schematic diagram of the hardware structure of a mobile phone 100 provided by an embodiment of the application;

2 is a schematic diagram of a user graphical interface of the mobile phone 100 provided by an embodiment of the application;

FIG. 3 is a schematic diagram of a user graphical interface of the mobile phone 100 according to an embodiment of the application;

4 is a schematic diagram of a user graphical interface of the mobile phone 100 provided by an embodiment of the application;

FIG. 5 is a schematic diagram of a user graphical interface of the mobile phone 100 according to an embodiment of the application;

FIG. 6 is a schematic diagram of the flow of an image shooting method provided by an embodiment of the application;

FIG. 7 is a schematic diagram of a user graphical interface of the mobile phone 100 provided by an embodiment of the application;

FIG. 8 is a schematic diagram of a flow of an image shooting method provided by an embodiment of the application;

FIG. 9 is a schematic structural diagram of an electronic device provided by an embodiment of the application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

Hereinafter, some terms in the embodiments of the present application will be explained to facilitate the understanding of those skilled in the art.

The electronic devices involved in the embodiments of the present application may be any electronic devices with image capturing functions, such as mobile phones, digital cameras, ipads, etc., or desktop computers, wearable devices, etc., which are not limited in the embodiments of the present application.

The shooting parameters involved in the embodiments of the present application may be parameters set when the electronic device shoots images, such as aperture, focal length, shutter, sensitivity, exposure, white balance, and so on.

The shooting adjustment parameter involved in the embodiment of the present application is the adjustment range of the shooting parameter. Taking the shooting parameter as the focal length as an example, then the shooting adjustment parameter is the adjustment range of the focal length. Assuming that the focal length is 50mm, if the shooting parameter is adjusted to +5mm, then the adjusted focal length is 55mm.

It should be noted that, for the convenience of users, the shooting adjustment parameters displayed on the electronic device can be divided into different levels. For example, the color can be divided into different levels. The initial level is 0, and the color is increased by 2 levels (by +2). Indicates), the corresponding shooting adjustment parameter is that the exposure time is increased by 0.25, that is, when the exposure time is increased by 0.25 seconds when the electronic device takes an image, the color in the captured image can be increased by 2 levels. It should be understood that the numerical values provided herein are all examples and not limitations.

The initial shooting parameters involved in the embodiments of the present application are shooting parameters before adjustment. The electronic device adjusts the initial shooting parameters according to the shooting adjustment parameters to obtain the final shooting parameters. For example, taking the focal length as an example, the initial focal length is 50mm, if the shooting parameter adjustment is +5mm, then the final focal length is 55mm.

The preview image involved in the embodiment of the present application is an image displayed on the viewfinder interface before the electronic device detects the operation on the shooting control.

The shooting objects involved in the embodiments of the present application and the shooting objects included in the images, such as people, flowers, green plants, animals, etc., are not limited by the embodiments of the present application.

The terms used in the following embodiments are only for the purpose of describing specific embodiments, and are not intended to limit the application. As used in the specification and appended claims of this application, the singular expressions "a", "an", "said", "above", "the" and "this" are intended to also This includes expressions such as "one or more" unless the context clearly indicates to the contrary. It should also be understood that in the embodiments of the present application, "one or more" refers to one, two, or more than two; "and/or" describes the association relationship of associated objects, indicating that three relationships may exist; for example, A and/or B can mean: A alone exists, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character "/" generally indicates that the associated objects are in an "or" relationship.

References described in this specification to "one embodiment" or "some embodiments", etc. mean that one or more embodiments of the present application include a specific feature, structure, or characteristic described in combination with the embodiment. Therefore, the phrases "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. appearing in different places in this specification are not necessarily All refer to the same embodiment, but mean "one or more but not all embodiments" unless it is specifically emphasized otherwise. The terms "including", "including", "having" and their variations all mean "including but not limited to" unless otherwise specifically emphasized.

Hereinafter, an electronic device, a graphical user interface (GUI) for such an electronic device, and embodiments for using such an electronic device are introduced. In some embodiments of the present application, the electronic device may be a portable device including a camera, such as a mobile phone, a tablet computer, a wearable device (such as a smart watch), and the like. Exemplary embodiments of portable devices include but are not limited to carrying

Or portable devices with other operating systems. The aforementioned portable device may also be other portable devices, as long as it can realize the image capturing function. It should also be understood that, in some other embodiments of the present application, the above-mentioned electronic device may not be a portable device, but a desktop computer capable of implementing an image shooting function.

Generally, electronic devices can support multiple applications (application, APP). For example, one or more of the following applications: camera, gallery, instant messaging application, etc. Among them, there are many kinds of instant messaging applications, such as WeChat, Tencent chat software (QQ), WhatsApp Messenger, Line, Kakao Talk, DingTalk, etc. Users can send text, voice, pictures, video files, and various other files to other contacts through instant messaging applications; or users can implement voice and video calls with other contacts through instant messaging applications.

Take the mobile phone as an example to introduce the structure of the mobile phone.

Referring to FIG. 1, the mobile phone 100 may include a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (USB) interface 130, a charging management module 140, a power management module 141, and a battery 142, Antenna 1, antenna 2, mobile communication module 150, wireless communication module 160, audio module 170, speaker 170A, receiver 170B, microphone 170C, earphone interface 170D, sensor module 180, button 190, motor 191, indicator 192, camera 193, A display screen 194, a subscriber identification module (SIM) card interface 195, a sensor module 180, and so on.

The processor 110 may include one or more processing units. For example, the processor 110 may include an application processor (AP), a modem processor, a graphics processing unit (GPU), and an image signal processor. (image signal processor, ISP), controller, memory, video codec, digital signal processor (digital signal processor, DSP), baseband processor, and/or neural-network processing unit (NPU) Wait. Among them, the different processing units may be independent devices or integrated in one or more processors.

The controller may be the nerve center and command center of the mobile phone 100. The controller can generate operation control signals according to the instruction operation code and timing signals to complete the control of fetching and executing instructions.

A memory may also be provided in the processor 110 to store instructions and data. In some embodiments, the memory in the processor 110 is a cache memory. The memory can store instructions or data that have just been used or recycled by the processor 110. If the processor 110 needs to use the instruction or data again, it can be directly called from the memory. Repeated accesses are avoided, the waiting time of the processor 110 is reduced, and the efficiency of the system is improved.

The processor 100 may run the software code of the image shooting method provided in the embodiment of the present application, and shoot an image satisfying the user.

The USB interface 130 is an interface that complies with the USB standard specification, and specifically may be a Mini USB interface, a Micro USB interface, a USB Type C interface, and so on. The USB interface 130 can be used to connect a charger to charge the mobile phone 100, and can also be used to transfer data between the mobile phone 100 and peripheral devices.

The charging management module 140 is used to receive charging input from the charger. The power management module 141 is used to connect the battery 142, the charging management module 140 and the processor 110. The power management module 141 receives input from the battery 142 and/or the charging management module 140, and supplies power to the processor 110, the internal memory 121, the external memory, the display screen 194, the camera 193, and the wireless communication module 160.

The wireless communication function of the mobile phone 100 can be implemented by the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, the modem processor, and the baseband processor.

The antenna 1 and the antenna 2 are used to transmit and receive electromagnetic wave signals. Each antenna in the mobile phone 100 can be used to cover a single or multiple communication frequency bands. Different antennas can also be reused to improve antenna utilization. For example, antenna 1 can be multiplexed as a diversity antenna of a wireless local area network. In other embodiments, the antenna can be used in combination with a tuning switch.

The mobile communication module 150 may provide a wireless communication solution including 2G/3G/4G/5G and the like applied on the mobile phone 100. The mobile communication module 150 may include at least one filter, switch, power amplifier, low noise amplifier (LNA), etc. The mobile communication module 150 can receive electromagnetic waves by the antenna 1, and perform processing such as filtering, amplifying and transmitting the received electromagnetic waves to the modem processor for demodulation. The mobile communication module 150 can also amplify the signal modulated by the modem processor, and convert it into electromagnetic waves for radiation via the antenna 1. In some embodiments, at least part of the functional modules of the mobile communication module 150 may be provided in the processor 110. In some embodiments, at least part of the functional modules of the mobile communication module 150 and at least part of the modules of the processor 110 may be provided in the same device.

The wireless communication module 160 can provide applications on the mobile phone 100 including wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) networks), Bluetooth (BT), and global navigation satellite systems. (global navigation satellite system, GNSS), frequency modulation (frequency modulation, FM), near field communication technology (near field communication, NFC), infrared technology (infrared, IR) and other wireless communication solutions. The wireless communication module 160 may be one or more devices integrating at least one communication processing module. The wireless communication module 160 receives electromagnetic waves via the antenna 2, frequency modulates and filters the electromagnetic wave signals, and sends the processed signals to the processor 110. The wireless communication module 160 can also receive the signal to be sent from the processor 110, perform frequency modulation, amplify it, and convert it into electromagnetic wave radiation via the antenna 2.

In some embodiments, the antenna 1 of the mobile phone 100 is coupled with the mobile communication module 150, and the antenna 2 is coupled with the wireless communication module 160, so that the mobile phone 100 can communicate with the network and other devices through wireless communication technology. The wireless communication technologies may include global system for mobile communications (GSM), general packet radio service (GPRS), code division multiple access (CDMA), broadband Code division multiple access (wideband code division multiple access, WCDMA), time-division code division multiple access (TD-SCDMA), long term evolution (LTE), BT, GNSS, WLAN, NFC , FM, and/or IR technology, etc. The GNSS may include global positioning system (GPS), global navigation satellite system (GLONASS), Beidou navigation satellite system (BDS), quasi-zenith satellite system (quasi -zenith satellite system, QZSS) and/or satellite-based augmentation systems (SBAS).

The display screen 194 is used to display the display interface of the application and the like. The display screen 194 includes a display panel. The display panel can adopt liquid crystal display (LCD), organic light-emitting diode (OLED), active-matrix organic light-emitting diode or active-matrix organic light-emitting diode (active-matrix organic light-emitting diode). AMOLED, flexible light-emitting diode (FLED), Miniled, MicroLed, Micro-oLed, quantum dot light-emitting diode (QLED), etc. In some embodiments, the mobile phone 100 may include one or N display screens 194, and N is a positive integer greater than one.

The camera 193 is used to capture still images or videos. The camera 193 may include a front camera and a rear camera.

It should be understood that at least one camera may be provided on the mobile phone 100, such as at least one front camera, and/or at least one rear camera.

The internal memory 121 may be used to store one or more computer programs, and the one or more computer programs include instructions. The processor 110 may execute the above-mentioned instructions stored in the internal memory 121 to enable the mobile phone 100 to execute the image capturing method provided in some embodiments of the present application. Exemplarily, the internal memory 121 may include a storage program area and a storage data area. Among them, the storage program area can store the operating system; the storage program area can also store one or more applications (such as photo galleries, contacts, etc.). The data storage area can store data (such as photos, contacts, etc.) created during the use of the mobile phone 100. In addition, the internal memory 121 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more disk storage components, flash memory components, universal flash storage (UFS), etc. In some embodiments, the processor 110 may execute the instructions stored in the internal memory 121 and/or the instructions stored in the memory provided in the processor 110 to cause the mobile phone 100 to execute the image provided in the embodiments of the present application. Shooting method.

The external memory interface 120 may be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the mobile phone 100. The external memory card communicates with the processor 110 through the external memory interface 120 to realize the data storage function. For example, save pictures, videos and other files in an external memory card.

Of course, the software code of the image shooting method provided by the embodiment of the present application can also be stored in an external memory, and the processor 110 can run the software code through the external memory interface 120 to execute the process steps of the image shooting method, so as to capture the user's satisfaction. Image.

It should be understood that images (still images or dynamic images), videos, etc. captured by the mobile phone 100 can be stored in an external memory, or the mobile phone 100 detects that a certain condition is met (the memory space of the internal memory is insufficient, or the user chooses to save the image, When the video is stored in the external storage), the image, video, etc. are stored in the external storage.

The mobile phone 100 can implement audio functions through the audio module 170, the speaker 170A, the receiver 170B, the microphone 170C, the earphone interface 170D, and the application processor. For example, music playback, recording, etc.

The sensor module 180 may include pressure sensor 180A, gyroscope sensor 180B, air pressure sensor 180C, magnetic sensor 180D, acceleration sensor 180E, distance sensor 180F, proximity light sensor 180G, fingerprint sensor 180H, temperature sensor 180J, touch sensor 180K, ambient light Sensor 180L, bone conduction sensor 180M, etc.

The pressure sensor 180A is used to sense the pressure signal and can convert the pressure signal into an electrical signal. In some embodiments, the pressure sensor 180A may be provided on the display screen 194.

The gyroscope sensor 180B can be used to determine the movement posture of the mobile phone 100. In some embodiments, the angular velocity of the mobile phone 100 around three axes (ie, x, y, and z axes) can be determined by the gyroscope sensor 180B. The gyro sensor 180B can be used for image stabilization.

The air pressure sensor 180C is used to measure air pressure. In some embodiments, the mobile phone 100 calculates the altitude based on the air pressure value measured by the air pressure sensor 180C to assist positioning and navigation.

The magnetic sensor 180D includes a Hall sensor. The mobile phone 100 may use the magnetic sensor 180D to detect the opening and closing of the flip holster. In some embodiments, when the mobile phone 100 is a flip phone, the mobile phone 100 can detect the opening and closing of the flip according to the magnetic sensor 180D. Furthermore, according to the detected opening and closing state of the leather case or the opening and closing state of the flip cover, features such as automatic unlocking of the flip cover are set.

The acceleration sensor 180E can detect the magnitude of the acceleration of the mobile phone 100 in various directions (generally three axes). The magnitude and direction of gravity can be detected when the mobile phone 100 is stationary. It can also be used to identify the posture of electronic devices, and apply to applications such as horizontal and vertical screen switching, pedometers and so on.

Distance sensor 180F, used to measure distance. The mobile phone 100 can measure the distance by infrared or laser. In some embodiments, when shooting a scene, the mobile phone 100 may use the distance sensor 180F to measure the distance to achieve fast focusing.

The proximity light sensor 180G may include, for example, a light emitting diode (LED) and a light detector such as a photodiode. The light emitting diode may be an infrared light emitting diode. The mobile phone 100 emits infrared light to the outside through the light emitting diode. The mobile phone 100 uses a photodiode to detect infrared reflected light from nearby objects. When sufficient reflected light is detected, it can be determined that there is an object near the mobile phone 100. When insufficient reflected light is detected, the mobile phone 100 can determine that there is no object near the mobile phone 100. The mobile phone 100 may use the proximity light sensor 180G to detect that the user holds the mobile phone 100 close to the ear to talk, so as to automatically turn off the screen to save power. The proximity light sensor 180G can also be used in leather case mode, and the pocket mode will automatically unlock and lock the screen.

The ambient light sensor 180L is used to sense the brightness of the ambient light. The mobile phone 100 can adaptively adjust the brightness of the display 194 according to the perceived brightness of the ambient light. The ambient light sensor 180L can also be used to automatically adjust the white balance when taking pictures. The ambient light sensor 180L can also cooperate with the proximity light sensor 180G to detect whether the mobile phone 100 is in the pocket to prevent accidental touch.

The fingerprint sensor 180H is used to collect fingerprints. The mobile phone 100 can use the collected fingerprint characteristics to implement fingerprint unlocking, access application locks, fingerprint photographs, fingerprint answering calls, and so on.

The temperature sensor 180J is used to detect temperature. In some embodiments, the mobile phone 100 uses the temperature detected by the temperature sensor 180J to execute a temperature processing strategy. For example, when the temperature reported by the temperature sensor 180J exceeds a threshold, the mobile phone 100 performs a reduction in the performance of the processor located near the temperature sensor 180J, so as to reduce power consumption and implement thermal protection. In other embodiments, when the temperature is lower than another threshold, the mobile phone 100 heats the battery 142 to avoid abnormal shutdown of the mobile phone 100 due to low temperature. In some other embodiments, when the temperature is lower than another threshold, the mobile phone 100 boosts the output voltage of the battery 142 to avoid abnormal shutdown caused by low temperature.

Touch sensor 180K, also called "touch panel". The touch sensor 180K may be disposed on the display screen 194, and the touch screen is composed of the touch sensor 180K and the display screen 194, which is also called a “touch screen”. The touch sensor 180K is used to detect touch operations acting on or near it. The touch sensor can pass the detected touch operation to the application processor to determine the type of touch event. The visual output related to the touch operation can be provided through the display screen 194. In other embodiments, the touch sensor 180K may also be disposed on the surface of the mobile phone 100, which is different from the position of the display screen 194.

The bone conduction sensor 180M can acquire vibration signals. In some embodiments, the bone conduction sensor 180M can obtain the vibration signal of the vibrating bone mass of the human voice. The bone conduction sensor 180M can also contact the human pulse and receive the blood pressure pulse signal.

The button 190 includes a power button, a volume button, and so on. The button 190 may be a mechanical button. It can also be a touch button. The mobile phone 100 can receive key input, and generate key signal input related to user settings and function control of the mobile phone 100.

The motor 191 can generate vibration prompts. The motor 191 can be used for incoming call vibration notification, and can also be used for touch vibration feedback. For example, touch operations applied to different applications (such as photographing, audio playback, etc.) can correspond to different vibration feedback effects.

The indicator 192 may be an indicator light, which may be used to indicate the charging status, power change, or to indicate messages, missed calls, notifications, and so on.

The SIM card interface 195 is used to connect to the SIM card. The SIM card can be connected to and separated from the mobile phone 100 by inserting into the SIM card interface 195 or pulling out from the SIM card interface 195.

It is understandable that the components shown in FIG. 2 do not constitute a specific limitation on the mobile phone 100, and the mobile phone 100 may also include more or less components than those shown in the figure, or combine certain components, or split certain components. Or different component arrangements.

It should be noted that there are many shooting modes in the phone, such as portrait mode, landscape mode, etc., but the shooting parameters in each shooting mode are already set (usually set before the phone leaves the factory). Among them, shooting Parameters include aperture, focal length, shutter, sensitivity, exposure, white balance and so on. However, the aesthetics and demands of every user are different, and the images taken in a certain shooting mode may not meet the needs of every user. For example, an image taken by the mobile phone in the portrait mode is liked by user A, but not by user B. In this case, user B may still need to retouch the image to obtain a satisfactory image, which is cumbersome to operate and has a poor experience.

In the image shooting method provided by the embodiment of the application, the mobile phone can learn the user's attention to each subject in the image and the shooting adjustment parameters of each subject. For example, the mobile phone learns that most of the stored images contain portraits. , A few images contain animals, indicating that users pay more attention to people and less attention to animals. For another example, if the mobile phone learns that in the process of retouching a picture, the user has made more changes to the characters and fewer changes to the scenery. The mobile phone determines that the person's attention is higher and the scenery is lower. For another example, the mobile phone can also learn the user's modification of the image parameters of the character during the retouching process, and record the modification. Therefore, the mobile phone can obtain the shooting adjustment parameters of the character through a large amount of learning process, and also obtain other shooting objects. Shooting adjustment parameters.

The mobile phone sets the weight of each object according to the degree of attention of each object, for example, a higher degree of attention has a higher weight, and a lower degree of attention has a lower weight.

Therefore, the weight of each subject and the shooting adjustment parameters of each subject can be stored in the mobile phone, and the user can learn and update the weight and shooting adjustment parameters of each subject in real time while using the mobile phone.

Therefore, when a mobile phone shoots an image, it recognizes each subject in the image, and determines the final shooting adjustment parameters for each subject according to the weight of each subject and the shooting adjustment parameters of each subject. The final shooting adjustment parameters adjust the shooting parameters. In this case, the image captured by the mobile phone is likely to conform to the user's habit, and the user satisfaction is high.

The following describes several examples of the process of capturing an image through the mobile phone 100 shown in FIG. 1.

Example 1:

Referring to FIG. 2(a), the mobile phone 100 displays a home screen 201, and the home screen 201 may include one or more application icons or components, including a camera icon 202. The mobile phone 100 detects the operation on the icon 202 of the camera, and in response to the operation, displays the viewfinder interface 203 of the camera, as shown in FIG. 2(b). As shown in FIG. 2(b), the mobile phone 100 displays a viewfinder interface 203, and the viewfinder interface 203 includes a preview image, which is an image presented in the viewfinder interface before the mobile phone 100 detects an operation on the shooting control 205.

Continuing to refer to FIG. 2(b), when the mobile phone 100 detects that the "photo" mode 204 is selected, the preview image displayed in the viewfinder interface is an image collected based on the initial shooting parameters. The initial shooting parameter is the initial value of the shooting parameter. For example, when the shooting parameter is exposure, the initial shooting parameter is the initial exposure value. It should be noted that the initial shooting parameters may be the default shooting parameters, or the shooting parameters adjusted last time by the user.

Referring to Figure 2(c), the mobile phone 100 detects that the "smart shooting" mode 206 is selected, and displays a viewfinder interface 207. The viewfinder interface 207 contains a preview image, which is an image collected by the mobile phone 100 based on the adjusted shooting parameters , Where the adjusted shooting parameters are the shooting parameters after adjusting the initial exposure parameters. Of course, the mobile phone 100 may also display the prompt message "enter smart shooting mode" on the preview image.

Exemplarily, the mobile phone 100 can recognize at least one photographed object in the preview image (there may be multiple image recognition methods, such as edge detection methods, etc., which are not limited in this embodiment), and determine the weight and photographing of each photographed object. Adjustment parameters. Wherein, the weight and shooting adjustment parameters of each shooting object may be self-learned by the mobile phone 100. The mobile phone 100 determines the final adjustment parameter of each object according to the weight of each object and the shooting adjustment parameters, and then adjusts the initial shooting parameters according to the final adjustment parameters to obtain the adjusted shooting parameters.

Take the blue sky and white clouds as an example in the preview image. In order to facilitate understanding, the blue sky and white clouds are drawn diagonally in Figure 2(c) to represent the blue sky and white clouds on the preview image in Figure 2(c) and Figure 2 The display effect of blue sky and white clouds on the preview image in (b) is different. Because the preview image in Figure 2(c) is collected based on adjusted shooting parameters, while the preview image in Figure 2(b) is collected based on initial shooting parameters.

In Example 1, after the mobile phone 100 enters the smart shooting mode, the preview image displayed in the viewfinder interface is an image collected based on the adjusted shooting parameters. In other words, after the mobile phone 100 enters the smart shooting mode, the preview image changes relative to the normal mode (such as the "photo" mode), and the user can intuitively see the effect of the smart shooting mode through the preview image.

Example 2:

As shown in Figure 3(a), after the mobile phone 100 detects that the "smart shooting" mode 301 is selected, it displays a viewfinder interface. The viewfinder interface displays a preview image 302. The preview image 302 is collected based on the initial shooting parameters. 302 displays the weight information of each subject, as well as the “cancel” control 303 and the “apply” control 304. For example, referring to Figure 3(a), the weight information displayed on the preview image includes: "blue sky and white clouds: 40%", "green plants: 20%", and "single person: 40%". Among them, "blue sky and white clouds 40%" represents the weight of the blue sky and white clouds in the preview image is 40%, "green plants: 20%" represents the weight of the green plants in the preview image is 20%, and "single person: 40%" represents the weight of the preview image. The weight of the character is 40%.

Exemplarily, the weight may be the proportion of the area occupied by the subject in the preview image, or the weight is related to the preset level of the subject. For example, the level of the subject is higher, the weight is higher, and the level of the subject is higher. Low, low weight; among them, the preset can be user-defined, or the mobile phone 100 can be set by default before leaving the factory, or it can be the mobile phone 100 according to the user’s photographing habits (such as the shooting parameters adjusted during the shooting process, Or adjust the image parameters when retouching, etc.) self-learning. Taking the weight as the proportion of the area occupied by the subject in the preview image as an example, when the animation of the preview image changes, the weight of each subject can also be dynamically changed.

Exemplarily, referring to Fig. 3(b), when the mobile phone 100 detects an operation for "blue sky and white clouds: 40%", the mobile phone 100 displays the shooting adjustment parameters corresponding to the blue sky and white clouds, namely color +4. When the mobile phone 100 detects When the operation for "green plants: 20%" is performed, the mobile phone 100 displays the shooting adjustment parameter of the green plants, which is saturation +2. When the mobile phone 100 detects the operation for "single person: 40%", the mobile phone 100 displays the task information Shooting adjustment parameter, namely color +2.

It should be noted that in some embodiments, the weight and shooting adjustment parameters of each subject displayed on the preview image can be modified. Continuing to refer to Figure 3(b), the mobile phone 100 detects 40% operations against blue sky and white clouds (such as a long press operation), and can adjust the weight information of the blue sky and white clouds to the editing state. For example, the weight information displays "-" and "+", when the mobile phone 100 detects an operation for "+", the increase weight is to increase the original 40% to 41%. For another example, if the mobile phone 100 detects an operation for "blue sky and white clouds: color + 4" (such as a long press operation), you can set "blue sky and white clouds: color + 4" as the editing state, for example, "blue sky and white clouds: color + 4" "-" and "+" are displayed in. The mobile phone 100 detects the operation for "+", and can increase the color, that is, set the original +4 to +5. When the mobile phone 100 detects an operation on the "application" control 304, the mobile phone 100 collects a new preview image based on the modified shooting parameters, and then displays the new preview image in the viewfinder interface, as shown in FIG. 3(c). As shown in FIG. 3(c), the image 305 displayed in the viewfinder interface is a new preview image. In order to facilitate understanding, the blue sky and white clouds are drawn diagonally in Figure 3 (c) to characterize the display effect of the blue sky and white clouds on the preview image in Figure 3 (c) and the blue sky and white clouds on the preview image in Figure 3 (b) different. Because the preview image in Figure 3(c) is collected based on the modified shooting parameters, while the preview image in Figure 3(b) is collected based on the initial shooting parameters.

In Example 2, after the mobile phone 100 enters the "smart shooting" mode, the shooting parameters of each subject can be displayed. The user can modify the weight and shooting parameters of each subject. The mobile phone 100 can be based on the modified shooting parameters and weights. Adjust the initial shooting parameters to obtain the adjusted shooting parameters, and then acquire a new preview image based on the adjusted shooting parameters.

Exemplarily, the mobile phone 100 may determine the product of the weight of each shooting object and the shooting adjustment parameter, and then use the product to adjust the initial shooting parameter. For example, referring to FIG. 3(b), the mobile phone 100 determines that the shooting adjustment parameter of blue sky and white clouds is color +4, so the mobile phone 100 can determine that the shooting adjustment parameter of blue sky and white clouds is color +1.6 (40%*4=1.6) Correspondingly, the initial exposure time of the mobile phone 100 is increased by 0.6 seconds, so that the color of the blue sky and white clouds on the image is increased by 1.6.

The mobile phone 100 determines that the green plant's shooting adjustment parameter is saturation + 2, so the mobile phone 100 determines that the green plant's shooting adjustment parameter is saturation + 0.4 (ie 20%*2 = 0.4). Correspondingly, the mobile phone 100 is at the initial value of the aperture Decrease, increase the shutter, for example, decrease the aperture by one stop (for example, reduce from f2.8 to f2), and increase the shutter by 1/25 second to achieve the saturation of the green plants on the image +0.4. Among them, how much the aperture is adjusted to be smaller and the shutter is increased to achieve the saturation of green plants on the image +0.4. Those skilled in the art can determine according to experiments, and then store the determined value in the mobile phone 100. This process can be performed in the mobile phone. 100 before leaving the factory.

The mobile phone 100 determines that the shooting adjustment parameter of the person is color+2. Therefore, the mobile phone 100 determines that the shooting adjustment parameter of the person is color+0.8 (40%*2=0.8). Correspondingly, the mobile phone 100 increases the initial exposure time by 0.3, so that the color of the person on the image increases by 0.8. It should be understood that the numerical values in this text are only examples and are not limiting.

As an example, you can increase the initial exposure time by 0.6, then reduce the aperture by one stop (for example, reduce from f2.8 to f2), increase the shutter by 1/25 second, and then increase the exposure time by 0.3 seconds. In this case, the image captured by the mobile phone 100 is an image that the user is more satisfied with.

Example 3:

Referring to Figure 4(a), the mobile phone 100 displays the viewfinder interface of the camera, and the viewfinder interface includes a preview image 401, the preview image 401 is collected based on the initial shooting parameters, or the preview image is collected based on the adjusted shooting parameters For example, the mobile phone 100 recognizes the subject in the shooting scene, adjusts the final shooting parameters obtained by initial shooting parameters based on the weight of each subject and shooting adjustment parameters, and then shoots the preview image 401 based on the final shooting parameters. Among them, the weight of each shooting object and shooting adjustment parameters are self-learned by the mobile phone 100. As shown in FIG. 4(a), the preview image 401 does not display the weight information and shooting adjustment parameters of each subject.

When the mobile phone 100 detects the operation on the shooting control 402, the image 403 taken by the mobile phone 100 is displayed, and the image 403 is displayed. The cancel control 404 and the confirm control 405 are also displayed. Moreover, the captured image 403 displays the image of each subject. For weight information and shooting adjustment parameters, please refer to Figure 4(b). It should be understood that the weight information and shooting adjustment parameters of each shooting object may be displayed in a blank area of the image 403, or may be displayed in the area where each shooting object is located, which is not limited in the embodiment of the present application.

The user can modify the weight information and shooting adjustment parameters of each shooting object on the image 403. The specific process has been introduced in the foregoing, and will not be repeated here. The mobile phone 100 can retouch the image 403 according to the modified weights and shooting adjustment parameters to obtain a retouched image. When the mobile phone 100 detects the operation of the determination control 403, the mobile phone 100 stores the retouched image. As shown in FIG. 4(c), the mobile phone 100 displays a thumbnail 406 in the lower left corner. The image corresponding to the thumbnail 406 is the image 403 The image obtained after retouching.

In other embodiments, continuing to take FIG. 4(b) as an example, after the mobile phone 100 detects a preset operation, it can cancel the display of the weight information and shooting adjustment parameters of each subject on the image 403. The prediction operation can be an operation of double-clicking a certain area on the image 403, or displaying a specific control (not shown in the figure) on the image 403. When the mobile phone 100 detects an operation for the specific control, it cancels the display of each area on the image 403. The weight information and shooting adjustment parameters of each subject. In this case, the weight information and shooting adjustment parameters of each subject are not displayed on the image 403, so when the mobile phone 100 detects the operation on the "OK" control 405, the image 403 is stored, that is, the mobile phone 100 has not adjusted the image 403 retouches the image, but stores the image 403.

It should be noted that, in this example, when the mobile phone 100 detects an operation on the shooting control 402, it may store the captured image 403 in the cache. The user can modify the weight and shooting adjustment parameters of a certain subject on the image 403. The mobile phone 100 can revise the image 403 in the buffer according to the revised weight and shooting adjustment parameters to obtain the revised image. When the mobile phone 100 detects the operation of the determining control 403, the modified image is stored in the gallery in the mobile phone 100. Exemplarily, the mobile phone 100 may delete the image 403 stored in the cache, or may also store the image 403 stored in the cache in the gallery. As shown in Figure 5, the mobile phone 100 stores thumbnails of multiple images in the gallery, where the image corresponding to thumbnail 501 is the image stored in the cache (ie the image before retouching), and the image corresponding to thumbnail 502 is The image obtained after retouching the image in the buffer.

Continuing to refer to FIG. 5, in order to facilitate the user's viewing, the thumbnail of the retouched image, that is, the thumbnail 502, displays a mark 503, which is used to indicate that the image corresponding to the thumbnail 502 is the retouched image. The thumbnail of the image before retouching, that is, the thumbnail 501, does not display a mark. It should be understood that the mark 503 may be an icon and/or text, etc., which is not limited in the embodiment of the present application.

The following describes the self-learning process of the mobile phone 100.

Example 1: The mobile phone 100 learns the weight of the subject by itself.

For example, taking an image as an example, the mobile phone 100 detects a cropping instruction for the image, the mobile phone 100 determines that the subject of the cropped image (the retained subject) has a higher weight, and determines the cropped shot The weight of the object is low or 0.

For another example, the mobile phone 100 detects that multiple images are stored in the gallery. The mobile phone 100 determines that the number of images containing people in the multiple images is large (or the number of images containing people in the multiple images taken recently is large), and determines that the multiple images contain less image data of animals (Or the number of images containing people in the multiple images taken recently is small), the mobile phone 100 determines that the weight of the person is higher, and the weight of the animal is determined to be lower.

For another example, the mobile phone 100 detects a retouching operation for an image and determines that there are more modifications to the characters in the image (for example, multiple retouching operations such as skin beautification, bright eyes, etc.), and fewer modifications to the green plants , The mobile phone 100 determines that the weight of the character is larger, and the weight of the green plants is smaller.

Of course, the weight of each shooting object may also be set by default or manually set by the user, which is not limited in the embodiment of the present application.

Example 2: The mobile phone 100 can self-learn the shooting adjustment parameters of the subject.

For example, the mobile phone 100 detects that multiple images are stored in the gallery, and the mobile phone 100 detects the user's retouching operation on a certain image, and the mobile phone 100 can record the adjustment of the shooting parameters of the subject in the image during the retouching. For example, if the mobile phone 100 determines that the green plant saturation is increased by 2 when retouching the image, and the color is increased by 2 for the portrait image, the mobile phone 100 determines that the green plant shooting adjustment parameter is saturation +2, and the portrait shooting adjustment parameter is color +2 .

It should be noted that the self-learning process of the mobile phone 100 can be implemented through a model. Models are algorithms, including one or more functions/equations. The models mentioned in the embodiments of this application may be models in the prior art, such as neural network units, machine learning models, and so on. Generally, a model is a functional formula that includes model parameters, input parameters, and output parameters. Given the specific values of model parameters and input parameters, the output result can be obtained by calculating the functional formula. It should be understood that in the embodiments of the present application, the input parameter is the input image. When the model parameters are determined, the output result can be obtained through the model. The output result may be the weight of each object in the input image, and/or each Shooting adjustment parameters for each subject. That is to say, the above example 1 and example 2 can be implemented using the same mode or different models. The mobile phone 100 can adjust the shooting parameters according to the output result and obtain the final image by shooting (this process will be introduced later).

Refer to FIG. 6, which is a schematic flowchart of an image shooting method provided by an embodiment of this application. As shown in Figure 6, the method may include:

S601: The mobile phone 100 detects the input operation, starts the camera, and collects an initial image based on the initial shooting parameters.

Exemplarily, the original shooting parameter may be an initial value, and the initial value may be a minimum value or a value set before the mobile phone 100 leaves the factory, or the original shooting parameter may also be a shooting parameter used when an image was taken last time.

It should be noted that there may be many situations in which the mobile phone 100 activates the camera. For example, taking FIG. 2(a) as an example, when the mobile phone 100 detects that the user clicks on the icon of the camera, the mobile phone 100 activates the camera and activates the camera. For another example, the mobile phone 100 detects that the user clicks on the icon of WeChat and starts WeChat. When the mobile phone 100 detects the operation of clicking the video call control in WeChat, it starts the camera. For another example, when the mobile phone 100 detects that the user has clicked the operation of the "shooting" control in the circle of friends, it starts the camera. All in all, the technical solutions provided by the embodiments of the present application can be applied to any application that can start a camera to capture images.

S602: The mobile phone 100 recognizes at least one scene type to which the initial image belongs.

Exemplarily, the mobile phone 100 stores multiple preset scene types. For example, indoor scenes, outdoor scenes, single shooting, group shooting scenes, character scenes, landscape scenes, and so on.

The mobile phone 100 recognizes at least one scene type to which the original image belongs through the feature information in the original image. Wherein, the characteristic information includes characteristic information of the photographed object. For example, when the photographed object includes a person, the scene type may be a single person scene, and when the photographed object includes a blue sky, the scene type may be an outdoor scene and/or a landscape scene.

There can be one or more types of scenes included in an original image. Taking Figure 2(b) as an example, the preview image includes landscape scenes, outdoor scenes, single-person scenes, and so on.

S603: The mobile phone 100 determines the weight of each scene type in the at least one scene type.

Exemplarily, the weight of each scene type can be manually set by the user, or the mobile phone 100 is set before the factory, or the mobile phone 100 is self-learning. After the mobile phone 100 determines each scene type, each scene type can be queried The corresponding weight. Taking the self-learning of the mobile phone 100 as an example, the mobile phone 100 detects that multiple images are stored in the gallery, and determines that there are more images of outdoor scene types (or there are more images of outdoor scene types in the images taken recently), then the mobile phone 100 determines that it is outdoor The weight of the scene is higher.

Taking FIG. 2(b) as an example, the mobile phone 100 recognizes that the preview image belongs to three scene types of "outdoor", "landscape", and "single person". The weight of each scene type is shown in Table 1:

Scene type	Weight of scene type
outdoor	20%
landscape	30%
individual	30%

Table 1

S604: The mobile phone 100 determines shooting adjustment parameters of the shooting object corresponding to each scene type.

The mobile phone 100 learns the shooting adjustment parameters of the subject in the images of each scene type by itself, see Table 2 below for details:

Table 2

S605: The mobile phone 100 determines at least one subject on the original image and the weight of each subject.

Subject	Subject weight
Green plants	20%
Blue sky and white clouds	40%
character	40%

table 3

S606: The mobile phone 100 determines the final shooting adjustment parameter of each shooting object according to the weight of each scene type, the weight of each shooting object, and the shooting adjustment parameters of the corresponding shooting object in each scene type.

As shown in Figure 2(b), the mobile phone 100 determines the final shooting adjustment parameters of blue sky and white clouds according to the following formula:

The first adjustment parameter is: outdoor weight * blue sky and white cloud weight * (+2);

The second adjustment parameter is: scenery weight*blue sky and white cloud weight*(+4);

The third adjustment parameter is: single human weight * blue sky and white cloud weight * (+1);

Among them, the outdoor weight (see Table 1) is 20%, the scenery weight (see Table 1) is 30%, the single human weight (see Table 1) is 30%, and the blue sky and white clouds weight (see Table 3) is 40%.

The "2" in the above formula is the color of the corresponding blue sky and white clouds in the outdoor scene type in Table 2 +2, and the "4" in the above formula is the color of the corresponding blue sky and white clouds in the landscape scene type in Table 2 +4, the above formula The "1" in Table 2 is the color of the blue sky and white clouds in the single-player scene +1.

Therefore, in the above formula, the first adjustment parameter is: 20%*40%*2=0.16, the corresponding mobile phone 100 can increase the exposure time by t1 to achieve the effect of increasing the color by 0.16; the second adjustment parameter It is 30%*40%*4=0.48, the corresponding mobile phone 100 can increase the exposure time by t2 to achieve the effect of increasing the color by 0.48; the third adjustment parameter is: 30%*40%*1=0.12, Correspondingly, the mobile phone 100 can increase the exposure time by t3 to achieve the effect of increasing the color by 0.12. In other words, the mobile phone 100 can adjust the exposure time three times to achieve the effect of increasing the color of the blue sky and white clouds.

Of course, the mobile phone 100 can be adjusted once, that is, 20%*40%*(+2)+30%*40%*(+4)+30%*40%*(+1)=0.76, correspondingly, the mobile phone 100 will The exposure time is increased by t4, that is, the mobile phone 100 can adjust the exposure time once to achieve the effect of changing the color of the blue sky and white clouds to +0.76.

In a similar manner, the mobile phone 100 can determine the final shooting adjustment parameters of the green plants in FIG. 2(b) and the final shooting adjustment parameters of the people.

In the above embodiment, when the mobile phone 100 calculates the final shooting adjustment parameters, the weight of at least one scene type of the original image is considered, and the weight of each subject on the original image is also considered. In practical applications, the mobile phone 100 You can only consider the weight of each subject. For example, the mobile phone 100 learns the shooting adjustment parameters of each subject during the process of retouching. When the mobile phone 100 calculates the final shooting adjustment parameters, the The shooting adjustment parameter is multiplied by the weight of each subject, and the product is the final shooting adjustment parameter for each subject. Of course, the mobile phone 100 may also only consider the weight of at least one scene type of the original image. For example, the mobile phone 100 learns from the user to retouch the image of the outdoor scene or the shooting adjustment parameters in the process of shooting the image. In the final shooting adjustment parameters, the shooting adjustment parameters of each scene type can be multiplied by the weight of each scene type, and the product is the final shooting adjustment parameter.

S607: The mobile phone 100 adjusts the initial shooting parameters based on the final shooting adjustment parameters of each shooting object.

As an example, the mobile phone 100 can increase the color of the blue sky and white clouds (such as the area where the blue sky and white clouds are) in the preview image by 0.76; increase the saturation of the green plant (such as the area where the green plant is located) +0.12, and change the color of the person (such as the person) Area) color increased by 0.24.

As another example, the mobile phone 100 increases the color of the entire preview image by 0.76, then increases the saturation of the entire preview image by +0.12, and then increases the color of the entire preview image by 0.24.

S608: The mobile phone 100 obtains a preview image by shooting based on the adjusted shooting parameters.

S609: The mobile phone 100 displays a viewfinder interface, and the viewfinder interface includes the preview image.

Exemplarily, referring to FIG. 2(c), the preview image in FIG. 2(c) is an image captured by the mobile phone 100 based on the adjusted image capturing parameters.

Here is another scenario: gallery.

Referring to Figure 7(a), the mobile phone 100 displays a main interface 701. The main interface 701 includes multiple application icons, including a gallery icon 702. When the mobile phone 100 detects an operation on the icon 702, it displays the gallery interface 703 , See Figure 7(b). The interface 703 of the gallery includes thumbnails of multiple images. When the mobile phone 100 detects that the user has clicked on the thumbnail of the image 704, the interface as shown in FIG. 7(c) is displayed.

Referring to FIG. 7(c), the mobile phone 100 displays an image 704, and a logo 705 is displayed on the image 704. When the mobile phone 100 detects an operation on the logo 705, the mobile phone 100 displays a prompt message 706, which is used to prompt the user to enter the smart photo editing mode, as shown in FIG. 7(d).

Continuing to refer to FIG. 7(d), after the mobile phone 100 enters the smart photo editing mode, the weight information and shooting adjustment parameters of each subject in the image 704 can be displayed. The weight information and shooting adjustment parameters of each subject can be modified. When the mobile phone 100 detects an operation for the certain control, the image is retouched based on the modified weight and shooting adjustment parameters of each subject; when the mobile phone 100 detects To cancel the operation of the control, exit the smart editing mode. Wherein, the method of the mobile phone 100 for retouching the image based on the modified weight and shooting adjustment parameters of each shooting object is similar to the foregoing method, and will not be repeated.

In combination with the above-mentioned embodiments and related drawings, the embodiments of the present application provide an image shooting method, which can be implemented in an electronic device (such as a mobile phone, a tablet computer, etc.) having a touch screen and a camera as shown in FIG. 1. As shown in Figure 8, the method may include the following steps:

S801: An input operation is detected;

Exemplarily, taking FIG. 2(a) as an example, the input operation may be an operation of clicking the icon 202 in the main interface 201 of the mobile phone 100.

S802: In response to the input operation, start the camera to display a viewfinder interface, and the viewfinder interface includes a preview image;

Exemplarily, taking FIG. 2(b) as an example, the viewfinder interface may be the interface 203.

S803: Detect the first operation for the shooting control;

Exemplarily, taking 4(a) as an example, the first operation may be an operation of clicking the shooting control 402 in the viewfinder interface 401.

S804: In response to the first operation, display a first image, where the first image is an image taken based on initial shooting parameters, and the weight information and shooting adjustment parameters of each subject are displayed on the first image;

After detecting the operation on the shooting control, the electronic device captures the first image and displays the first image. The weight of each shooting object and shooting adjustment parameters are displayed on the first image. Illustratively, taking FIG. 4(b) as an example, the first image may be the image 403 displayed on the mobile phone 100.

S805: Detect a second operation for storing the first image;

Illustratively, taking FIG. 4(b) as an example, the second operation may be an operation of clicking the OK control 405.

S806: In response to the second operation, store a second image, where the second image is an image obtained after adjusting the first image according to the weight information and shooting adjustment parameters of each shooting object.

Exemplarily, taking FIG. 4(b) as an example, after the mobile phone 100 detects an operation on the determination control 405, it may store the second image obtained after the first image, that is, the image 403, is modified. Taking FIG. 4(c) as an example, the mobile phone 100 displays a thumbnail 406 in the lower left corner, and the thumbnail 406 is a thumbnail corresponding to the second image. That is, the mobile phone 100 stores the second image in the gallery.

The various embodiments of the present application can be combined arbitrarily to achieve different technical effects.

In the above-mentioned embodiments provided in the present application, the method provided in the embodiments of the present application is introduced from the perspective of an electronic device (such as a mobile phone 100) as an execution subject. In order to realize the functions in the methods provided in the above embodiments of the present application, the electronic device may include a hardware structure and/or a software module, and realize the above functions in the form of a hardware structure, a software module, or a hardware structure plus a software module. Whether one of the above-mentioned functions is executed in a hardware structure, a software module, or a hardware structure plus a software module depends on the specific application and design constraint conditions of the technical solution.

As shown in FIG. 9, some other embodiments of the present application disclose an electronic device, such as a mobile phone, ipad, etc. The electronic device may include a touch screen 901, where the touch screen 901 includes a touch-sensitive surface 906 and a display Screen 907; one or more processors 902; multiple application programs 908; the above-mentioned devices can be connected through one or more communication buses 905. The display screen 907 may be used to display a main interface, or a display interface of a certain application of a plurality of application programs 908, such as a camera interface (ie, a viewfinder interface), and may also be used to display images taken by an electronic device.

The one or more computer programs 904 are stored in the aforementioned memory 903 and are configured to be executed by the one or more processors 902, and the one or more computer programs 904 include instructions, and the aforementioned instructions can be used for execution. Figure 2-8 and the respective steps in the corresponding embodiment.

It should be noted that the division of units in the embodiments of the present application is illustrative, and is only a logical function division, and there may be other division methods in actual implementation. The functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. For example, in the above embodiment, the first acquiring unit and the second acquiring unit may be the same unit or different units. The above-mentioned integrated unit can be implemented in the form of hardware or software functional unit.

As used in the above embodiments, depending on the context, the term "when" or "after" can be interpreted as meaning "if..." or "after" or "in response to determining..." or "in response to detecting …". Similarly, depending on the context, the phrase "when determining..." or "if detected (statement or event)" can be interpreted as meaning "if determined..." or "in response to determining..." or "when detected (Condition or event stated)" or "in response to detection of (condition or event stated)". In addition, in the foregoing embodiments, relationship terms such as first and second are used to distinguish one entity from another entity, and any actual relationship and order between these entities are not limited.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented by software, it can be implemented in the form of a computer program product in whole or in part. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the processes or functions described in the embodiments of the present invention are generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from a website, computer, server, or data center. Transmission to another website site, computer, server or data center via wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.). The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center integrated with one or more available media. The usable medium may be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid state disk (SSD)).

It should be pointed out that a part of this patent application file contains content protected by copyright. Except for making copies of patent documents or recorded contents of patent documents in the Patent Office, the copyright owner reserves the copyright.

Claims (10)

1. An image shooting method applied to electronic equipment, characterized in that the method includes:

   Input operation detected;

   In response to the input operation, start the camera to display a viewfinder interface, and the viewfinder interface includes a preview image;

   The first operation for the shooting control is detected;

   In response to the first operation, a first image is displayed, the first image is an image taken based on initial shooting parameters, and the weight information and shooting adjustment parameters of each shooting object are displayed on the first image;

   A second operation for storing the first image is detected;

   In response to the second operation, a second image is stored, the second image being an image obtained by adjusting the first image according to the weight information and shooting adjustment parameters of each shooting object.
2. The method of claim 1, wherein before detecting the second operation for storing the first image, the method further comprises:

   A modification operation of the weight information and/or the shooting adjustment parameters for the first shooting object is detected;

   In response to the modification operation, a third image is obtained by processing the first image, and the third image is an image obtained after adjusting the first image according to the modified weight information and/or shooting adjustment parameters ；

   In response to the second operation, storing the second image includes:

   In response to the second operation, the third image is stored.
3. The method according to claim 1 or 2, wherein the method further comprises:

   Save the first image;

   Wherein, a first mark is set on the second image, and the first mark is not set on the first image.
4. The method according to any one of claims 1 to 3, wherein the weight of each shooting object is determined according to the proportion of the area occupied by each shooting object in the first image; or is preset Or, it is determined according to the user's selection operation; or, it is determined according to the user's operation behavior on the image stored in the electronic device.
5. The method according to claim 4, wherein the weight of each photographed object is determined according to the user's operation behavior on the image stored in the electronic device, comprising:

   The weight of each subject is determined according to the number of times each subject in the stored image has been edited; or, it is determined according to the number of times each subject in the stored image is cropped, or according to the stored All images are determined by the number of images contained in each subject.
6. The method according to any one of claims 1-5, wherein the shooting adjustment parameter of each shooting object is preset, or is based on the user's shooting of each of the images stored in the electronic device. The image parameters adjusted when the object is retouched are determined.
7. 8. The method according to any one of claims 1 to 6, characterized in that, before detecting the second operation for storing the first image, the method further comprises:

   The third operation is detected;

   In response to the third operation, cancel displaying the weight information and shooting adjustment parameters of each shooting object on the first image;

   In response to the second operation, storing the second image includes:

   In response to the second operation, the first image is stored.
8. An electronic device, characterized by comprising at least one processor and memory;

   The memory is used to store one or more computer programs;

   When one or more computer programs stored in the memory are executed by the at least one processor, the electronic device is enabled to implement the method according to any one of claims 1 to 7.
9. A computer storage medium, wherein the computer readable storage medium includes a computer program, and when the computer program runs on an electronic device, the electronic device executes the method according to any one of claims 1 to 7.
10. A program product, characterized in that the program product includes instructions, which when run on a computer, cause the computer to execute the method according to any one of claims 1 to 7.

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