WO2022127787A1

WO2022127787A1 - Image display method and electronic device

Info

Publication number: WO2022127787A1
Application number: PCT/CN2021/137940
Authority: WO
Inventors: 沈日胜; 许虎
Original assignee: 华为技术有限公司
Priority date: 2020-12-18
Filing date: 2021-12-14
Publication date: 2022-06-23
Also published as: CN114650363B; CN114650363A

Abstract

An image display method, comprising: detecting a first operation of a user, and in response to the first operation, an electronic device displaying a first photography preview interface, the first photography preview interface comprising a first preview box, the first preview box displaying a first image, and the first image being a blurred image; after a first preset duration, the electronic device displaying a second photography preview interface, the second photography preview interface comprising a second preview box, and the second preview box displaying an image captured in real time by a camera of the electronic device, such that during the startup of a camera application, what a user sees is an image obtained by blurring the last image frame acquired during the previous camera operation, thereby improving user experience.

Description

An image display method and electronic device

This application claims the priority of the Chinese patent application with the application number of 202011504970.7 filed with the State Intellectual Property Office of China on December 18, 2020, and the priority of the Chinese patent application with the invention titled "A method and electronic device for image display" , the entire contents of which are incorporated herein by reference.

technical field

The present invention relates to the technical field of electronic devices, and in particular, to an image display method and electronic device.

Background technique

With the development of mobile devices, cameras are widely used in mobile devices, and users can directly use the system camera application, for example, directly use the camera application to start the camera to shoot. Users can also call the camera application through other applications. For example, when using other applications, "sweep", "AI recognition" and other scenarios will use the camera application, and these applications can call the system camera service. However, due to the limitation of hardware capabilities, the startup time of the camera is usually long, so that during the startup process of the camera application, the interface of the electronic device always presents a black image, which affects the user experience.

On the one hand, the user experience can be improved by extending the animation duration of the camera app startup, but the duration of the camera app startup animation is usually determined by the system and cannot be modified. Extending the animation duration of the camera app launch can't really avoid the black background when the camera app launches. In addition, the animation time started by the camera application is too long, which will also affect the user experience.

On the other hand, the application can save a frame of the image sampled when the camera exits, as the background image the next time the camera application starts. However, for different applications, a part of the memory needs to be consumed to save the sampled images. Also, the first time each application launches the camera, the electronics interface still presents a black background during camera startup.

SUMMARY OF THE INVENTION

In view of this, an embodiment of the present invention provides an image display method. Through the image display method, during the startup of the camera application, the shooting preview interface of the electronic device displays a blurred image, and after the camera application is started, the shooting preview interface of the electronic device displays the real-time image collected by the camera of the electronic device, which improves the user experience.

In a first aspect, an embodiment of the present application provides an image display method, the method includes detecting a first operation of a user, and in response to the first operation, the electronic device displays a first shooting preview interface, the first shooting The preview interface includes a first preview frame, the first preview frame displays a first image, and the first image is a blurred image; after a first preset time, the electronic device displays a second shooting preview interface, and the first image is a blurred image. The second shooting preview interface includes a second preview frame, and the second preview frame displays an image captured in real time by a camera of the electronic device. Through the above setting method, while the user is waiting for the camera application to start, the user can see the blurred image, which improves the user experience.

According to a possible implementation manner of the first aspect, the first image is an image obtained by blurring an image collected by a camera of the electronic device.

According to the first aspect, or any implementation manner of the above first aspect, the first preset time is a power-on time of the camera of the electronic device.

According to the first aspect, or any implementation manner of the above first aspect, before the electronic device displays the first shooting preview interface, the method further includes: saving the first image. Through the above setting manner, during the startup process of the camera application, the first image can be quickly provided, the waiting time of the user is reduced, and the user experience is improved. All applications using the system camera service on the electronic device can obtain the stored image data through the RAM and ROM corresponding to the camera application when the camera is started, instead of saving the image data in its corresponding storage space separately, saving Memory.

According to the first aspect, or any implementation manner of the above first aspect, if the first image is not stored in the electronic device, the first image is a black image.

According to the first aspect, or any implementation manner of the above first aspect, the blurring process is to use a blur coefficient to process the image collected by the camera. Through the above setting method, a blurred image with a similar blurring degree to that in the focusing process can be obtained, so that the switching to the focusing process after displaying the blurred image is smoother, and the user experience is improved.

In a second aspect, embodiments of the present application provide an electronic device, including one or more touch screens, one or more memories, and one or more processors; wherein the one or more memories store one or more computers a program; the one or more touch screens are used to detect a first operation of the user; in response to the first operation, the one or more touch screens are also used to display a first shooting preview interface, the first The shooting preview interface includes a first preview frame, the first preview frame displays a first image, and the first image is a blurred image; after a first preset time, the one or more touch screens are also used to display the first image. 2. Shooting preview interface, the second shooting preview interface includes a second preview frame, and the second preview frame displays the image captured by the camera of the electronic device in real time. Through the above setting method, while the user is waiting for the camera application to start, the user can see the blurred image, which improves the user experience.

According to a possible implementation manner of the second aspect, the first image is an image obtained by blurring an image collected by a camera of the electronic device.

According to the second aspect, or any implementation manner of the above second aspect, the first preset time is a power-on time of the camera of the electronic device.

According to the second aspect, or any implementation manner of the above second aspect, before the first shooting preview interface is displayed, the one or more memories are used to save the first image. Through the above setting manner, during the startup process of the camera application, the first image can be quickly provided, the waiting time of the user is reduced, and the user experience is improved. All applications using the system camera service on the electronic device can obtain the stored image data through the RAM and ROM corresponding to the camera application when the camera is started, instead of saving the image data in its corresponding storage space separately, saving Memory.

According to the second aspect, or any implementation manner of the above second aspect, if the first image is not stored in the one or more memories, the first image is a black image.

According to the second aspect, or any one of the implementation manners of the above second aspect, the one or more processors are configured to process the image collected by the camera by using a blur coefficient. Through the above setting method, a blurred image with a similar blurring degree to that in the focusing process can be obtained, so that the switching to the focusing process after displaying the blurred image is smoother, and the user experience is improved.

In a third aspect, embodiments of the present application provide a computer-readable storage medium, including instructions, when the instructions are executed on an electronic device, the electronic device is made to perform the above first aspect, or any of the above first aspects. An implementation of the method described.

In a fourth aspect, an embodiment of the present application provides a computer program product, which, when the computer program product runs on an electronic device, enables the electronic device to perform the above first aspect, or any one of the above first aspect. method described.

Through the above solution, during the startup of the camera application, what the user sees is the blurred image of the last frame of the image collected during the previous camera operation, which can present the user with an image with a similar degree of blur to the camera during focusing. Then, the interface of the electronic device switches from displaying the blurred image of the last frame of image collected during the previous operation of the camera to displaying the image during the focusing process of the camera, and then to displaying the image after the focusing of the camera is completed. The process of images is smoother, which improves the user experience. In addition, all the application programs on the electronic device that use the system camera service can obtain the stored image data through the internal memory, and different application programs do not need to save memory separately.

Description of drawings

In order to illustrate the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention, which are common in the art. As far as technical personnel are concerned, other drawings can also be obtained based on these drawings without paying creative labor.

FIG. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present application;

2 is a schematic structural diagram of an operating system in an electronic device provided by an embodiment of the present application;

FIG. 3A is a schematic diagram of a scene of starting a camera application according to an embodiment of the present application;

3B is a schematic diagram of a scene where a camera application is started;

FIG. 4 is a schematic diagram of an image display method provided by an embodiment of the present application;

FIG. 5 is an interaction diagram for querying and obtaining image data after blurring processing provided by an embodiment of the present application;

FIG. 6 is an interaction diagram of a fuzzification process provided by an embodiment of the present application;

FIG. 7 is a flowchart of querying and acquiring image data after blurring processing provided by an embodiment of the present application.

Detailed ways

The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations of the present application. As used in the specification of this application and the appended claims, the singular expressions "a," "an," "the," "above," "the," and "the" are intended to also Plural expressions such as "one or more" are included unless the context clearly dictates otherwise. It will also be understood that, as used in this application, the term "and/or" refers to and includes any and all possible combinations of one or more of the listed items.

References in this specification to "one embodiment" or "some embodiments" and the like mean that a particular feature, structure or characteristic described in connection with that embodiment is included in at least one embodiment of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in other embodiments," etc. in various places in this specification are not necessarily All refer to the same embodiment, but mean "one or more but not all embodiments" unless specifically emphasized otherwise. The terms "including", "including", "having" and their variants mean "including but not limited to" unless specifically emphasized otherwise.

As used in the following examples, the term "when" may be interpreted to mean "if" or "after" or "in response to determining..." or "in response to detecting..." depending on the context. Similarly, depending on the context, the phrases "in determining..." or "if detecting (the stated condition or event)" can be interpreted to mean "if determining..." or "in response to determining..." or "on detecting (the stated condition or event)" or "in response to the detection of (the stated condition or event)".

The terms "first", "second", "third", "fourth", etc. (if present) in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It is to be understood that data so used may be interchanged under appropriate circumstances so that the embodiments described herein can be practiced in sequences other than those illustrated or described herein.

Electronic devices, user interfaces for such electronic devices, and embodiments for using such electronic devices are described below. In some embodiments, the electronic device may be a portable electronic device that also includes other functions such as personal digital assistant and/or music player functions, such as a mobile phone, a tablet computer, a wearable electronic device with wireless communication capabilities (eg, a smart watch) Wait. Exemplary embodiments of portable electronic devices include, but are not limited to, carry-on

Or portable electronic devices with other operating systems. The portable electronic device described above may also be other portable electronic devices, such as a laptop computer (Laptop) or the like with a touch panel or a touch-sensitive surface. In some other embodiments, the above-mentioned electronic device may not be a portable electronic device, but a desktop computer.

The embodiments of the present invention will be described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present application.

FIG. 1 is a schematic structural diagram of an electronic device 100 .

The electronic device 100 may be a mobile phone, a tablet computer, a desktop computer, a notebook computer, an ultra-mobile personal computer (UMPC), a netbook, and an augmented reality (AR) device, virtual reality (virtual reality, VR) equipment, artificial intelligence (artificial intelligence, AI) equipment, wearable equipment, vehicle-mounted equipment, etc., the specific types of the electronic equipment are not particularly limited in this embodiment of the present application.

The electronic device 100 may include a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (USB) interface 130, a charge management module 140, a power management module 141, a battery 142, an antenna 1, an antenna 2 , mobile communication module 150, wireless communication module 160, audio module 170, speaker 170A, receiver 170B, microphone 170C, headphone jack 170D, sensor module 180, buttons 190, motor 191, indicator 192, camera 193, display screen 194, and Subscriber identification module (subscriber identification module, SIM) card interface 195 and so on. The sensor module 180 may include a pressure sensor 180A, a gyroscope sensor 180B, an air pressure sensor 180C, a magnetic sensor 180D, an acceleration sensor 180E, a distance sensor 180F, a proximity light sensor 180G, a fingerprint sensor 180H, a temperature sensor 180J, a touch sensor 180K, and ambient light. Sensor 180L, bone conduction sensor 180M, etc.

It can be understood that, the structures illustrated in the embodiments of the present invention do not constitute a specific limitation on the electronic device 100 . In other embodiments of the present application, the electronic device 100 may include more or less components than shown, or combine some components, or separate some components, or arrange different components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

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

The controller can generate an operation control signal according to the instruction operation code and timing signal, and complete the control of fetching and executing instructions.

A memory may also be provided in the processor 110 for storing instructions and data. In some embodiments, the memory in processor 110 is cache memory. This memory may hold 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 called directly from the memory. Repeated accesses are avoided and the latency of the processor 110 is reduced, thereby increasing the efficiency of the system.

In some embodiments, the processor 110 may include one or more interfaces. The interface may include an integrated circuit (inter-integrated circuit, I2C) interface, an integrated circuit built-in audio (inter-integrated circuit sound, I2S) interface, a pulse code modulation (pulse code modulation, PCM) interface, a universal asynchronous transceiver (universal asynchronous transmitter) receiver/transmitter, UART) interface, mobile industry processor interface (MIPI), general-purpose input/output (GPIO) interface, subscriber identity module (SIM) interface, and / or universal serial bus (universal serial bus, USB) interface, etc.

The I2C interface is a bidirectional synchronous serial bus that includes a serial data line (SDA) and a serial clock line (SCL). In some embodiments, the processor 110 may contain multiple sets of I2C buses. The processor 110 can be respectively coupled to the touch sensor 180K, the charger, the flash, the camera 193 and the like through different I2C bus interfaces. For example, the processor 110 may couple the touch sensor 180K through the I2C interface, so that the processor 110 and the touch sensor 180K communicate with each other through the I2C bus interface, so as to realize the touch function of the electronic device 100 .

The I2S interface can be used for audio communication. In some embodiments, the processor 110 may contain multiple sets of I2S buses. The processor 110 may be coupled with the audio module 170 through an I2S bus to implement communication between the processor 110 and the audio module 170 . In some embodiments, the audio module 170 can transmit audio signals to the wireless communication module 160 through the I2S interface, so as to realize the function of answering calls through a Bluetooth headset.

The PCM interface can also be used for audio communications, sampling, quantizing and encoding analog signals. In some embodiments, the audio module 170 and the wireless communication module 160 may be coupled through a PCM bus interface. In some embodiments, the audio module 170 can also transmit audio signals to the wireless communication module 160 through the PCM interface, so as to realize the function of answering calls through the Bluetooth headset. Both the I2S interface and the PCM interface can be used for audio communication.

The UART interface is a universal serial data bus used for asynchronous communication. The bus may be a bidirectional communication bus. It converts the data to be transmitted between serial communication and parallel communication. In some embodiments, a UART interface is typically used to connect the processor 110 with the wireless communication module 160 . For example, the processor 110 communicates with the Bluetooth module in the wireless communication module 160 through the UART interface to implement the Bluetooth function. In some embodiments, the audio module 170 can transmit audio signals to the wireless communication module 160 through the UART interface, so as to realize the function of playing music through the Bluetooth headset.

The MIPI interface can be used to connect the processor 110 with peripheral devices such as the display screen 194 and the camera 193 . MIPI interfaces include camera serial interface (CSI), display serial interface (DSI), etc. In some embodiments, the processor 110 communicates with the camera 193 through a CSI interface, so as to realize the photographing function of the electronic device 100 . The processor 110 communicates with the display screen 194 through the DSI interface to implement the display function of the electronic device 100 .

The GPIO interface can be configured by software. The GPIO interface can be configured as a control signal or as a data signal. In some embodiments, the GPIO interface may be used to connect the processor 110 with the camera 193, the display screen 194, the wireless communication module 160, the audio module 170, the sensor module 180, and the like. The GPIO interface can also be configured as I2C interface, I2S interface, UART interface, MIPI interface, etc.

The USB interface 130 is an interface that conforms to the USB standard specification, and may specifically be a Mini USB interface, a Micro USB interface, a USB Type C interface, and the like. The USB interface 130 can be used to connect a charger to charge the electronic device 100, and can also be used to transmit data between the electronic device 100 and peripheral devices. It can also be used to connect headphones to play audio through the headphones. The interface can also be used to connect other electronic devices, such as AR devices.

It can be understood that the interface connection relationship between the modules illustrated in the embodiment of the present invention is only a schematic illustration, and does not constitute a structural limitation of the electronic device 100 . In other embodiments of the present application, the electronic device 100 may also adopt different interface connection manners in the foregoing embodiments, or a combination of multiple interface connection manners.

The charging management module 140 is used to receive charging input from the charger. The charger may be a wireless charger or a wired charger. In some wired charging embodiments, the charging management module 140 may receive charging input from the wired charger through the USB interface 130 . In some wireless charging embodiments, the charging management module 140 may receive wireless charging input through a wireless charging coil of the electronic device 100 . While the charging management module 140 charges the battery 142 , it can also supply power to the electronic device through the power management module 141 .

The power management module 141 is used for connecting 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 display screen 194, the camera 193, and the wireless communication module 160. The power management module 141 can also be used to monitor parameters such as battery capacity, battery cycle times, battery health status (leakage, impedance). In some other embodiments, the power management module 141 may also be provided in the processor 110 . In other embodiments, the power management module 141 and the charging management module 140 may also be provided in the same device.

The wireless communication function of the electronic device 100 may be implemented by the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, the modulation and demodulation processor, the baseband processor, and the like.

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

The mobile communication module 150 may provide wireless communication solutions including 2G/3G/4G/5G etc. applied on the electronic device 100 . The mobile communication module 150 may include at least one filter, switch, power amplifier, low noise amplifier (LNA) and the like. The mobile communication module 150 can receive electromagnetic waves from the antenna 1, filter and amplify the received electromagnetic waves, and transmit them to the modulation and demodulation processor for demodulation. The mobile communication module 150 can also amplify the signal modulated by the modulation and demodulation processor, and then turn it into an electromagnetic wave for radiation through 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 may be provided in the same device as at least part of the modules of the processor 110 .

The modem processor may include a modulator and a demodulator. Wherein, the modulator is used to modulate the low frequency baseband signal to be sent into a medium and high frequency signal. The demodulator is used to demodulate the received electromagnetic wave signal into a low frequency baseband signal. Then the demodulator transmits the demodulated low-frequency baseband signal to the baseband processor for processing. The low frequency baseband signal is processed by the baseband processor and passed to the application processor. The application processor outputs sound signals through audio devices (not limited to the speaker 170A, the receiver 170B, etc.), or displays images or videos through the display screen 194 . In some embodiments, the modem processor may be a stand-alone device. In other embodiments, the modem processor may be independent of the processor 110, and may be provided in the same device as the mobile communication module 150 or other functional modules.

The wireless communication module 160 can provide applications on the electronic device 100 including wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) networks), bluetooth (BT), global navigation satellites Wireless communication solutions such as global navigation satellite system (GNSS), frequency modulation (FM), near field communication (NFC), and infrared technology (IR). 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 on it, amplify it, and convert it into electromagnetic waves for radiation through the antenna 2 .

In some embodiments, the antenna 1 of the electronic device 100 is coupled with the mobile communication module 150, and the antenna 2 is coupled with the wireless communication module 160, so that the electronic device 100 can communicate with the network and other devices through wireless communication technology. The wireless communication technology may include global system for mobile communications (GSM), general packet radio service (GPRS), code division multiple access (CDMA), broadband 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 (global positioning system, GPS), global navigation satellite system (global navigation satellite system, GLONASS), Beidou navigation satellite system (beidou navigation satellite system, BDS), quasi-zenith satellite system (quasi -zenith satellite system, QZSS) and/or satellite based augmentation systems (SBAS).

The electronic device 100 implements a display function through a GPU, a display screen 194, an application processor, and the like. The GPU is a microprocessor for image processing, and is connected to the display screen 194 and the application processor. The GPU is used to perform mathematical and geometric calculations for graphics rendering. Processor 110 may include one or more GPUs that execute program instructions to generate or alter display information.

Display screen 194 is used to display images, videos, and the like. Display screen 194 includes a display panel. The display panel can be a liquid crystal display (LCD), an organic light-emitting diode (OLED), an active-matrix organic light-emitting diode or an active-matrix organic light-emitting diode (active-matrix organic light). emitting diode, AMOLED), flexible light-emitting diode (flex light-emitting diode, FLED), Miniled, MicroLed, Micro-oLed, quantum dot light-emitting diode (quantum dot light emitting diodes, QLED) and so on.

The electronic device 100 may implement a shooting function through an ISP, a camera 193, a video codec, a GPU, a display screen 194, an application processor, and the like.

The ISP is used to process the data fed back by the camera 193 . For example, when taking a photo, the shutter is opened, the light is transmitted to the camera photosensitive element through the lens, the light signal is converted into an electrical signal, and the camera photosensitive element transmits the electrical signal to the ISP for processing, and converts it into an image visible to the naked eye.

Camera 193 is used to capture still images or video. The object is projected through the lens to generate an optical image onto the photosensitive element. The photosensitive element may be a charge coupled device (CCD) or a complementary metal-oxide-semiconductor (CMOS) phototransistor. The photosensitive element converts the optical signal into an electrical signal, and then transmits the electrical signal to the ISP to convert it into a digital image signal. The ISP outputs the digital image signal to the DSP for processing. DSP converts digital image signals into standard RGB, YUV and other formats of image signals.

In this embodiment of the present application, the camera 193 may be used to collect images, and send the collected images to the camera service module. The camera 193 can receive the start-up instruction sent by the camera service module. After the camera 193 receives the start-up instruction, it takes a period of time to start up. After the camera 193 is started, it collects still images or videos through the photosensitive element.

A digital signal processor is used to process digital signals, in addition to processing digital image signals, it can also process other digital signals. For example, when the electronic device 100 selects a frequency point, the digital signal processor is used to perform Fourier transform on the frequency point energy and so on.

Video codecs are used to compress or decompress digital video. The electronic device 100 may support one or more video codecs. In this way, the electronic device 100 can play or record videos of various encoding formats, such as: Moving Picture Experts Group (moving picture experts group, MPEG) 1, MPEG2, MPEG3, MPEG4 and so on.

The NPU is a neural-network (NN) computing processor. By drawing on the structure of biological neural networks, such as the transfer mode between neurons in the human brain, it can quickly process the input information and can continuously learn by itself. Applications such as intelligent cognition of the electronic device 100 can be implemented through the NPU, such as image recognition, face recognition, speech recognition, text understanding, and the like.

The external memory interface 120 can be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the electronic device 100 . The external memory card communicates with the processor 110 through the external memory interface 120 to realize the data storage function. For example to save files like music, video etc in external memory card.

Internal memory 121 may be used to store computer executable program code, which includes instructions. The internal memory 121 may include a storage program area and a storage data area. The storage program area can store an operating system, an application program required for at least one function (such as a sound playback function, an image playback function, etc.), and the like. The storage data area can store data (such as audio data, phone book, etc.) created during the use of the electronic device 100 and the like. In addition, the internal memory 121 may include high-speed random access memory, may include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, universal flash storage (UFS), and the like. The internal memory 121 may include random access memory (random access memory, RAM). The RAM can be read and written at any time, and the read and write speed is fast. The RAM is usually used as a temporary data storage medium for the operating system or other running programs. Once the power is turned off, the data stored in the RAM will be lost. The internal memory 121 may also include a read-only memory (ROM), the data stored in the ROM is stable, and the data stored in the ROM will not change after the power is turned off. The processor 110 executes various functional applications and data processing of the electronic device 100 by executing instructions stored in the internal memory 121 and/or instructions stored in a memory provided in the processor. For example, in this embodiment of the present application, the processor 110 may execute the instructions stored in the internal memory 121 for capturing images, acquiring images, extracting blur coefficients, blurring, and caching images.

In this embodiment of the present application, the internal memory 121 may allocate corresponding storage spaces for different application programs. For example, the RAM and ROM in the internal memory 121 will allocate corresponding storage space for the camera application, which is used to save the image captured by the camera or the image after blurring. For example, the last frame of image captured during camera operation can be stored either in RAM or in ROM. The blurred image can be stored either in RAM or in ROM.

The electronic device 100 may implement audio functions through an audio module 170, a speaker 170A, a receiver 170B, a microphone 170C, an earphone interface 170D, an application processor, and the like. Such as music playback, recording, etc.

The audio module 170 is used for converting digital audio information into analog audio signal output, and also for converting analog audio input into digital audio signal. Audio module 170 may also be used to encode and decode audio signals. In some embodiments, the audio module 170 may be provided in the processor 110 , or some functional modules of the audio module 170 may be provided in the processor 110 .

Speaker 170A, also referred to as a "speaker", is used to convert audio electrical signals into sound signals. The electronic device 100 can listen to music through the speaker 170A, or listen to a hands-free call.

The receiver 170B, also referred to as "earpiece", is used to convert audio electrical signals into sound signals. When the electronic device 100 answers a call or a voice message, the voice can be answered by placing the receiver 170B close to the human ear.

The microphone 170C, also called "microphone" or "microphone", is used to convert sound signals into electrical signals. When making a call or sending a voice message, the user can make a sound by approaching the microphone 170C through a human mouth, and input the sound signal into the microphone 170C. The electronic device 100 may be provided with at least one microphone 170C.

The earphone jack 170D is used to connect wired earphones. The earphone interface 170D may be the USB interface 130, or may be a 3.5mm open mobile terminal platform (OMTP) standard interface, a cellular telecommunications industry association of the USA (CTIA) standard interface.

The pressure sensor 180A is used to sense pressure signals, and can convert the pressure signals into electrical signals. In some embodiments, the pressure sensor 180A may be provided on the display screen 194 . There are many types of pressure sensors 180A, such as resistive pressure sensors, inductive pressure sensors, capacitive pressure sensors, and the like. When a touch operation acts on the display screen 194, the electronic device 100 detects the intensity of the touch operation according to the pressure sensor 180A. The electronic device 100 may also calculate the touched position according to the detection signal of the pressure sensor 180A.

The gyro sensor 180B may be used to determine the motion attitude of the electronic device 100 . In some embodiments, the angular velocity of electronic device 100 about three axes (ie, x, y, and z axes) may be determined by gyro sensor 180B. The gyro sensor 180B can be used for image stabilization. The gyro sensor 180B can also be used for navigation and somatosensory game scenarios.

The air pressure sensor 180C is used to measure air pressure. In some embodiments, the electronic device 100 calculates the altitude through the air pressure value measured by the air pressure sensor 180C to assist in positioning and navigation.

The magnetic sensor 180D includes a Hall sensor. The electronic device 100 can detect the opening and closing of the flip holster using the magnetic sensor 180D. In some embodiments, when the electronic device 100 is a flip machine, the electronic device 100 can detect the opening and closing of the flip according to the magnetic sensor 180D.

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

Distance sensor 180F for measuring distance. The electronic device 100 can measure the distance through infrared or laser. In some embodiments, when shooting a scene, the electronic device 100 can use the distance sensor 180F to measure the distance to achieve fast focusing.

Proximity light sensor 180G may include, for example, light emitting diodes (LEDs) and light detectors, such as photodiodes. The light emitting diodes may be infrared light emitting diodes. The electronic device 100 emits infrared light to the outside through the light emitting diode. Electronic device 100 uses photodiodes 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 electronic device 100 . When insufficient reflected light is detected, the electronic device 100 may determine that there is no object near the electronic device 100 .

The ambient light sensor 180L is used to sense ambient light brightness. The electronic device 100 can adaptively adjust the brightness of the display screen 194 according to the perceived ambient light brightness. 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 electronic device 100 is in a pocket, so as to prevent accidental touch.

The fingerprint sensor 180H is used to collect fingerprints. The electronic device 100 can use the collected fingerprint characteristics to realize fingerprint unlocking, accessing application locks, taking pictures with fingerprints, answering incoming calls with fingerprints, and the like.

The temperature sensor 180J is used to detect the temperature. In some embodiments, the electronic device 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 value, the electronic device 100 reduces the performance of the processor located near the temperature sensor 180J in order to reduce power consumption and implement thermal protection.

Touch sensor 180K, also called "touch device". The touch sensor 180K may be disposed on the display screen 194 , and the touch sensor 180K and the display screen 194 form a touch screen, also referred to as a "touch screen". The touch sensor 180K is used to detect a touch operation on or near it. The touch sensor can pass the detected touch operation to the application processor to determine the type of touch event. Visual output related to touch operations may be provided through display screen 194 . In other embodiments, the touch sensor 180K may also be disposed on the surface of the electronic device 100 , which is different from the location where the display screen 194 is located.

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

The keys 190 include a power-on key, a volume key, and the like. Keys 190 may be mechanical keys. It can also be a touch key. The electronic device 100 may receive key inputs and generate key signal inputs related to user settings and function control of the electronic device 100 .

Motor 191 can generate vibrating cues. The motor 191 can be used for vibrating alerts for incoming calls, and can also be used for touch vibration feedback. For example, touch operations acting on different applications (such as taking pictures, playing audio, etc.) can correspond to different vibration feedback effects. The motor 191 can also correspond to different vibration feedback effects for touch operations on different areas of the display screen 194 .

The indicator 192 can be an indicator light, which can be used to indicate the charging state, the change of the power, and can also be used to indicate a message, a missed call, a notification, and the like.

The SIM card interface 195 is used to connect a SIM card. The SIM card can be contacted and separated from the electronic device 100 by inserting into the SIM card interface 195 or pulling out from the SIM card interface 195 . The electronic device 100 may support 1 or N SIM card interfaces, where N is a positive integer greater than 1. The SIM card interface 195 can support Nano SIM card, Micro SIM card, SIM card and so on. Multiple cards can be inserted into the same SIM card interface 195 at the same time. The types of the plurality of cards may be the same or different. The SIM card interface 195 can also be compatible with different types of SIM cards. The SIM card interface 195 is also compatible with external memory cards. The electronic device 100 interacts with the network through the SIM card to realize functions such as call and data communication. In some embodiments, the electronic device 100 employs an eSIM, ie: an embedded SIM card. The eSIM card can be embedded in the electronic device 100 and cannot be separated from the electronic device 100 .

FIG. 2 is a block diagram of the software structure of the electronic device 100 according to the embodiment of the present application.

The software system of the electronic device 100 may adopt a layered architecture, an event-driven architecture, a microkernel architecture, a microservice architecture, or a cloud architecture. The embodiment of the present invention takes an Android system with a layered architecture as an example to illustrate the software structure of the electronic device 100 as an example.

The layered architecture divides the software into several layers, and each layer has a clear role and division of labor. Layers communicate with each other through software interfaces. In some embodiments, the Android system is divided into four layers, which are, from top to bottom, an application layer, an application framework layer, an Android runtime (Android runtime) and a system library, and a kernel layer.

The application layer can include a series of application packages.

As shown in Figure 2, the application package can include applications such as camera, gallery, calendar, call, map, navigation, WLAN, Bluetooth, music, video, short message and so on.

The application framework layer provides an application programming interface (application programming interface, API) and a programming framework for applications in the application layer. The application framework layer includes some predefined functions.

In this embodiment of the present application, the application framework layer may include an image processing module, and the image processing module has the functions of acquiring images, extracting blur coefficients, and blurring. The image processing module can obtain the image collected by the camera through the internal memory, and extract the blur coefficient of the obtained image; the image processing module can also obtain the last frame of the image collected during the operation of the camera through the internal memory, and the collected image The last frame of the image is blurred; the image processing module can also save the blurred image in the RAM corresponding to the camera application, or save the blurred image in the ROM corresponding to the camera application.

As shown in Figure 2, the application framework layer may include window managers, content providers, view systems, telephony managers, resource managers, notification managers, and the like.

A window manager is used to manage window programs. The window manager can get the size of the display screen, determine whether there is a status bar, lock the screen, take screenshots, etc.

Content providers are used to store and retrieve data and make these data accessible to applications. The data may include video, images, audio, calls made and received, browsing history and bookmarks, phone book, etc.

The view system includes visual controls, such as controls for displaying text, controls for displaying pictures, and so on. View systems can be used to build applications. A display interface can consist of one or more views. For example, the display interface including the short message notification icon may include a view for displaying text and a view for displaying pictures.

The phone manager is used to provide the communication function of the electronic device 100 . For example, the management of call status (including connecting, hanging up, etc.).

The resource manager provides various resources for the application, such as localization strings, icons, pictures, layout files, video files and so on.

The notification manager enables applications to display notification information in the status bar, which can be used to convey notification-type messages, and can disappear automatically after a brief pause without user interaction. For example, the notification manager is used to notify download completion, message reminders, etc. The notification manager can also display notifications in the status bar at the top of the system in the form of graphs or scroll bar text, such as notifications of applications running in the background, and notifications on the screen in the form of dialog windows. For example, text information is prompted in the status bar, a prompt sound is issued, the electronic device vibrates, and the indicator light flashes.

Android Runtime includes core libraries and a virtual machine. Android runtime is responsible for scheduling and management of the Android system.

The core library consists of two parts: one is the function functions that the java language needs to call, and the other is the core library of Android.

The application layer and the application framework layer run in virtual machines. The virtual machine executes the java files of the application layer and the application framework layer as binary files. The virtual machine is used to perform functions such as object lifecycle management, stack management, thread management, safety and exception management, and garbage collection.

A system library can include multiple functional modules. For example: surface manager (surface manager), media library (Media Libraries), 3D graphics processing library (eg: OpenGL ES), 2D graphics engine (eg: SGL), etc.

The Surface Manager is used to manage the display subsystem and provides a fusion of 2D and 3D layers for multiple applications.

The media library supports playback and recording of a variety of commonly used audio and video formats, as well as still image files. The media library can support a variety of audio and video encoding formats, such as: MPEG4, H.264, MP3, AAC, AMR, JPG, PNG, etc.

The 3D graphics processing library is used to implement 3D graphics drawing, image rendering, compositing, and layer processing.

2D graphics engine is a drawing engine for 2D drawing.

The kernel layer is the layer between hardware and software. The kernel layer contains at least display drivers, camera drivers, audio drivers, and sensor drivers.

In the following, the workflow of the software and hardware of the electronic device 100 is exemplarily described in conjunction with the capturing and photographing scene.

When the touch sensor 180K receives a touch operation, a corresponding hardware interrupt is sent to the kernel layer. The kernel layer processes touch operations into raw input events (including touch coordinates, timestamps of touch operations, etc.). Raw input events are stored at the kernel layer. The application framework layer obtains the original input event from the kernel layer, and identifies the control corresponding to the input event. Taking the touch operation as a touch click operation, and the control corresponding to the click operation is the control of the camera application icon, for example, the camera application calls the interface of the application framework layer to start the camera application, and then starts the camera driver by calling the kernel layer. The camera 193 captures still images or video.

FIG. 3A is a schematic diagram of a scene of starting a camera application according to an embodiment of the present application.

As shown in FIG. 3A , during the startup of the camera application and when the electronic device does not receive the image data collected by the camera, the interface of the electronic device displays a first image 301 . The above-mentioned first image is an image obtained by blurring the last frame of image collected during the last camera operation. The above-mentioned first image may also be a blurred image of the last frame of image collected during the first operation of the camera when the user uses the camera application for the first time. The camera application startup process refers to the process from the camera application receiving the user's opening instruction (for example, the user's click on the control of the camera application displayed on the electronic device interface) to the camera being able to collect still images or videos through the photosensitive element , for example, the process of powering up the camera. The running process of the camera, including the camera receiving the start command, the camera powering on and starting, collecting still images or videos through the photosensitive element, the camera receiving the shutdown command, the camera stopping the process of collecting still images or videos, including the process of collecting still images or videos in response to user operations Image and the process of saving the image. The above-mentioned blurring processing refers to using a preset blurring algorithm, and processing the image according to the blurring coefficient corresponding to the blurring algorithm. For example, the preset blur algorithm can be Gaussian blur algorithm, box blur algorithm, Kawase blur algorithm, double blur algorithm, bokeh blur algorithm, tilt-shift blur algorithm, aperture blur algorithm, granular blur algorithm, radial blur algorithm, direction blur One of the algorithms such as fuzzy algorithm. The above-mentioned preset fuzzy algorithm may also be other fuzzy algorithms that may be used, and the above-mentioned preset fuzzy algorithm is not particularly limited in this embodiment of the present application. Different blurring algorithms have different blurring coefficients, wherein the blurring coefficient refers to a set of parameters corresponding to the blurring algorithms, and the parameters are used to adjust the blurring degree of the image. For example, the blur coefficient corresponding to the Gaussian blur algorithm is (scale, radius), where scale represents the magnification factor, and radius represents the radius. The above-mentioned extraction method and fuzzification processing method of the blur coefficient will be described in detail with reference to FIG. 5 and FIG. 6 in subsequent embodiments.

The user clicks on the camera application, and after the first preset time, the camera is powered on and started, and the camera can capture images. The first preset time may be the time when the camera is powered on. The time for the camera to be powered on includes the time when the camera application receives the user's opening instruction (for example, the user clicks on the controls of the camera application displayed on the interface of the electronic device), the time when the camera receives the startup instruction, the time when the camera is powered on and can pass the light sensor. The time elapsed between the capture of a still image or video by an element. The first preset time can also be the time from when the camera application receives the user's opening instruction to the time when the camera can focus to present a clear image, that is, the time when the camera is powered on and the time when the camera completes the focusing process (focusing). The process is that the camera can collect still images or videos through the photosensitive element, and the camera cannot focus to make the blurred image appear until the camera can focus and complete the time to display a clear image. In other words, the focusing process is for the camera to adjust the distance of its own focus. the process of making the photos clear). The first preset time may also be the time elapsed from the time when the camera application receives the user's opening instruction to the end of any time point during the camera focusing process.

As shown in FIG. 3B , when the electronic device receives the image data collected by the camera, the interface of the electronic device displays the second image 303 collected by the camera. The above-mentioned second image refers to an image collected by the camera after focusing during the operation of the camera. During the operation of the camera, the camera will focus first, and the image collected during the focus will appear blurred to a certain extent. After the focus is completed, a second image 303 is displayed, and the second image is the image collected after the focus is completed. Exemplarily, the user currently wants to use the camera to capture an image of a potted plant. If the last time the user used the camera application, the last frame of image collected during the running of the camera was an image of a cup. During the startup of the camera application, the blurred image of the cup image is displayed. After the camera application is started, the camera first focuses on the potted plants, and the captured images of the potted plants during the focusing process will be displayed, and the images of the potted plants collected during the focusing process will appear blurry. After the camera is focused, the image of the potted plant captured after focusing is displayed.

During the startup process of the camera application, by displaying the first image, the problem that the black background is displayed for too long during the startup process of the camera application can be eliminated, and the user experience can be improved.

In some application scenarios, the user can directly open the camera application. For example, if a user wishes to use the camera to take pictures, when taking a video, the camera application can be directly opened. When the user directly opens the camera application, during the startup process of the camera application and the electronic device does not receive the image data collected by the camera, the interface of the electronic device displays the blurred image of the last frame of the image collected during the previous camera operation. image. After the camera application is started, the camera collects images, and when the electronic device receives the image data collected by the camera, the interface of the electronic device displays the image collected by the camera. The images collected by the camera include images collected during the focusing process and images collected after the focusing is completed.

In other application scenarios, the user can also open the camera application through other applications. For example, in the scan code payment scenario, the user can click "Scan" in the payment software, open the camera application, and use the camera to scan the payment QR code For another example, some applications support the face recognition function to authenticate the user's identity. In this scenario, the user can open the camera application through the application and use the camera to perform face recognition. When the user opens the camera application through other applications, during the startup process of the camera application, and the electronic device does not receive the image data collected by the camera, the electronic device displays the last frame of the image collected during the previous camera operation after blurring processing. Image. After the camera application is started, the camera can capture images, and when the electronic device receives the image data captured by the camera, the electronic device displays the image captured by the camera. The images collected by the camera include images collected during the focusing process and images collected after the focusing is completed.

The following describes an image display method provided by an embodiment of the present application by taking a user directly opening a camera application as an example.

As shown in FIG. 4 , an image display method provided by an embodiment of the present application may include the following steps:

Step S401a: The camera application sends an instruction to activate the camera to the camera.

Step S401b: The camera application sends an instruction to acquire the image data of the last frame of image collected during the last camera operation after blurring processing to the image processing module.

It should be explained that step S401a and step S401b are parallel steps.

Step S402 : the image processing module sends an instruction to the internal memory for acquiring the image data of the last frame of the image collected during the last camera operation after being blurred. The internal memory includes RAM and ROM corresponding to the camera application.

The above-mentioned image processing module may store, in the RAM corresponding to the camera application, the blurred image data of the last frame of the image collected during the last camera operation. The image processing module can also generate an image file from the image data of the last frame of the image collected during the last camera operation after the blurring process, and store the image file in the ROM corresponding to the camera application. The image processing module can also generate an image file from the last frame of image data collected during the last camera running process, and store it in the ROM corresponding to the camera application.

After receiving the instruction to obtain the blurred image data sent in step S402, the internal memory queries whether the RAM corresponding to the camera application stores the blurred image data of the last frame of the image collected during the last camera operation. If there is blurred image data of the last frame of image collected during the last camera operation, the blurred image data is sent to the image processing module. If the blurred image data is not available, check whether the ROM corresponding to the camera application stores an image file generated from the blurred image data of the last frame image collected during the last camera operation. If there is an image file generated from the blurred image data of the last frame of image collected during the last camera operation, load the image file into the RAM corresponding to the camera application, generate the corresponding image data, and store the image The data is sent to the image processing module. If there is no image file generated from the blurred image data, query the ROM corresponding to the camera application to see if there is an image file of the last frame of image collected during the last camera operation, and if so, check the image file. Load it into the RAM corresponding to the camera application, generate the corresponding image data, and use the preset blurring algorithm to blur the image, and then blur the last frame of the image collected during the last camera operation. The data is sent to the image processing module. The preset blur algorithm can be Gaussian blur algorithm, box blur algorithm, Kawase blur algorithm, double blur algorithm, bokeh blur algorithm, axis-shift blur algorithm, aperture blur algorithm, granular blur algorithm, radial blur algorithm, direction blur One of the algorithms such as the fuzzy algorithm may also be other fuzzy algorithms that may be used, and the above-mentioned preset fuzzy algorithms are not particularly limited in this embodiment of the present application.

The above-mentioned blurring processing refers to using a preset blurring algorithm, and processing the image according to the blurring coefficient corresponding to the blurring algorithm. The above-mentioned method for extracting the blur coefficient will be described in detail with reference to FIG. 5 and FIG. 6 in subsequent embodiments.

Step S403 : the internal memory sends the image data of the last frame of the image collected during the last operation of the camera after the blurring process to the image processing module.

Step S404: The image processing module sends the blurred image data of the last frame of image collected during the last camera operation to the camera application. After the camera application receives the blurred image data of the last frame of the image collected during the last camera running process sent in step S404, the interface of the electronic device can display the blurred image of the last frame of the image collected during the last camera running process. processed image.

Step S405: the camera sends the collected image data to the image processing module.

For the convenience of description, D1 is used to represent the time for performing step S401a, the time for the camera to collect one frame of image, the sum of the time for the camera to perform step S405, and D2 is used to represent the time for performing steps S401b and S402, and the time between steps S403 and S404. and. The duration of D1 is much longer than that of D2.

Taking a scenario where a user directly opens a camera application for the first time as an example, a method for extracting a blur coefficient provided by an embodiment of the present application will be described in detail below with reference to FIG. 5 .

Referring to FIG. 5, the above-mentioned fuzzy coefficient extraction method may include the following steps:

Step S501a: the camera application sends an instruction to activate the camera to the camera.

Step S501b: The camera application sends an instruction to acquire image data to the image processing module.

It should be explained that step S501a and step S501b are parallel steps.

Step S502: the camera sends the collected image data to the internal memory.

After the camera receives the instruction to start the camera sent in step S501a, the camera is powered on, the camera collects images, and sends the collected image data to the internal memory. During the operation of the camera, focus will be performed first, and the images collected during the focusing process will be blurred to a certain extent. The images collected by the camera include images collected during the focusing process and images collected after the focusing is completed. The image data collected in step S502 are sent in the order of collecting images. During the operation of the camera, each time a frame of image is collected, the collected image data will be sent to the internal memory through step S502.

Step S503: The image processing module sends an instruction for acquiring image data to the internal memory.

The image processing module can obtain and extract the images collected in the above focusing process through the internal memory. Specifically, after the camera collects the image, it will send the collected image data to the internal memory, and the image collected by the camera includes the image in the focusing process.

Step S504: The internal memory sends the image data collected by the camera to the image processing module, where the internal memory sends the first frame of image collected by the camera, or the Nth frame of image collected by the camera, where N represents greater than or equal to 1. Integer. It should be explained that the Nth frame of images includes images collected during the focusing process of the camera.

Step S505 : the image processing module extracts the blur coefficient after acquiring the first frame of image data collected by the camera.

After the image processing module acquires the first frame of image collected by the camera, the image can be input into the blur coefficient model, and the model coefficient model can output a set of blur coefficients. The above-mentioned fuzzy coefficient model can be obtained by artificial intelligence (artificial intelligence, AI) training according to a preset fuzzy algorithm. The preset blur algorithm can be Gaussian blur algorithm, box blur algorithm, Kawase blur algorithm, double blur algorithm, bokeh blur algorithm, axis-shift blur algorithm, aperture blur algorithm, granular blur algorithm, radial blur algorithm, direction blur One of the algorithms such as the fuzzy algorithm may also be other fuzzy algorithms that may be used, and the above-mentioned preset fuzzy algorithms are not particularly limited in this embodiment of the present application. For different fuzzy algorithms, the fuzzy coefficients output by the fuzzy coefficient model are different. For example, a Gaussian blur algorithm is selected as the preset blur algorithm, and the blur coefficient corresponding to the Gaussian blur algorithm is (scale, radius), where scale represents a magnification factor, and radius represents a radius. Multiple sets of image data with different fuzzy coefficients are used as data training sets, and a neural network is used for multi-layer training to obtain a fuzzy coefficient model. Input the image into the blur coefficient model, and the blur coefficient model can output the blur coefficient corresponding to the Gaussian blur algorithm. Exemplarily, the image processing module may input the above-mentioned N frames of images into the above-mentioned blur coefficient model, and the blur coefficient model may output the blur coefficient corresponding to the Gaussian blur algorithm.

It should be explained that the image input to the blur coefficient model may be the first frame of image collected during the camera operation, or may be N frame images of different blur states in a single scene during the camera focusing process.

After the image processing module extracts the blur coefficients of the images collected by the camera through the above method, the collected blur coefficients are stored in the RAM corresponding to the camera application, or the collected blur coefficients can be stored in the ROM corresponding to the camera application.

The following is an example of a scenario in which the user directly opens the camera application for the first time, and then closes the camera application after the end of use. A method for blurring the last frame of image collected during the operation of the camera provided in the embodiment of the present application will be described in detail with reference to FIG. 6 .

Referring to FIG. 6, the above-mentioned blurring processing method may include the following steps:

Step S601a: the camera application sends an instruction to close the camera to the camera.

Step S601b: The camera application sends an instruction to acquire image data to the image processing module.

It should be explained that step S601a and step S601b are parallel steps.

Step S602: the camera receives the shutdown instruction, and captures the last frame of image.

Step S603: the camera sends the last frame of image collected to the internal memory.

Step S604: the camera is turned off, and image capture is stopped.

Step S605: The image processing module sends an instruction to acquire the last frame of image data to the internal memory.

Step S606: the internal memory sends the last frame of image data to the image processing module.

Step S607: The image processing module performs blurring processing on the last frame of image collected during the operation of the camera.

When the user turns on the camera for the first time, the image processing module extracts the blur coefficient of the first frame image collected by the camera, and saves the blur coefficient in the RAM corresponding to the camera application, or in the ROM corresponding to the camera application. The image processing module can obtain the blur coefficient of the first frame image collected by the camera in the RAM corresponding to the camera application. After the image processing module receives the last frame of image collected during the operation of the camera, the image processing module performs blurring processing on the last frame of image collected during the operation of the camera according to the extracted blur coefficient through a preset blurring algorithm. Exemplarily, the preset blur algorithm is a Gaussian blur algorithm, and the blur coefficient corresponding to the Gaussian blur algorithm extracted by the image processing module is (scale, radius). The image processing module adopts a Gaussian blur algorithm, and according to the blur coefficient (scale, radius) of the Gaussian blur algorithm, blurs the last frame image collected during the operation of the camera to generate a blurred image.

In another possible implementation manner, when the image processing module performs blurring processing on the last frame of image collected during the operation of the camera, the blur coefficient used may also be the blur coefficient preset by the system. The preset fuzzy coefficient of the system is set for the preset fuzzy algorithm according to factors such as electronic device type, camera model, memory compression, and user information security requirements. Exemplarily, the preset blur algorithm is a Gaussian blur algorithm, the preset blur coefficient of the system is (scale_1, radius_1), and the image processing module obtains the last frame of image collected during the operation of the camera through the camera service module, and uses Gaussian. The blurring algorithm performs blurring processing on the image according to the preset blurring coefficients (scale_1, radius_1) to generate a blurred image.

Step S608: The image processing module sends the image data obtained by blurring the last frame of the image collected during the operation of the camera to the internal memory.

The internal memory can store the blurred image data of the last frame of the image collected during the operation of the camera. Specifically, after the image processing module performs the blurring process on the last frame of the image collected during the operation of the camera, it can store the blurred image of the last frame of the image collected during the operation of the camera in the RAM corresponding to the camera application. data. It is also possible to generate an image file from the blurred image data of the last frame of the image collected during the operation of the camera, and store it in the ROM corresponding to the camera application. It is also possible to generate an image file from the last frame of image data collected during the operation of the camera, and store it in the ROM corresponding to the camera application.

In other embodiments, if the above-mentioned internal memory does not store the last frame of image collected during the operation of the camera or the last frame of image collected during the operation of the camera cannot be acquired due to problems such as the format, the image processing module can send The camera sends an image acquisition instruction for acquiring a frame of image. After the camera captures the image, the captured image data is sent to the internal memory, and then the image processing module can acquire the image, perform blurring processing on the image, and store the blurred image data in the RAM corresponding to the camera application. , or generate an image file from the blurred image data, and store it in the ROM corresponding to the camera application. Alternatively, the image processing module may sample the image data, generate an image file from the image data, and store it in the ROM corresponding to the camera application.

FIG. 7 is a flowchart of querying and acquiring blurred image data provided by an embodiment of the present application. As shown in Figure 7, when the image processing module receives the instruction to obtain the blurred image data, it will query whether the RAM corresponding to the camera application stores the last frame of the image collected during the last camera operation after blurring. image data. If there is blurred image data of the last frame image collected during the last camera operation, the internal memory sends the blurred image data to the image processing module. If the blurred image data is not available, query the ROM corresponding to the camera application to see if there is a blurred image file of the last frame of the image collected during the last camera operation. If there is an image file generated from the blurred image data of the last frame of image collected during the last camera operation, load the image file into the RAM corresponding to the camera application to obtain the corresponding blurred image data. And send the image data to the image processing module. If there is no image file generated from the blurred image data, query the ROM corresponding to the camera application to see if there is an image file of the last frame of image collected during the last camera operation, and if so, check the image file. Load it into the RAM corresponding to the camera application, obtain the image data, and use the preset blurring algorithm to blur the image, and then blur the last frame of the image collected during the last camera operation. The data is sent to the image processing module. It should be explained that after the image processing module performs blurring processing on the last frame of image collected during the last camera operation, the blurred image data can be stored in the RAM corresponding to the camera application, or the blurred image data can be stored in the RAM corresponding to the camera application. The processed image data generates an image file, which is stored in the ROM corresponding to the camera application.

If the image processing module receives the instruction to obtain the blurred image data, it does not query the RAM corresponding to the camera application to find the blurred image data of the last frame of the image collected during the last camera operation, nor does it query the image data in the RAM corresponding to the camera application. In the ROM corresponding to the camera application, the blurred image file of the last frame of the image collected during the last camera operation was queried, and the last image file collected during the last camera operation was not queried in the ROM corresponding to the camera application. The image file of the frame image, the image processing module extracts the blur coefficient of the first frame of image data collected during the focusing process of the camera through the blur coefficient extraction method described in the above embodiment. And by the blurring processing method described in the above embodiment, blurring processing is performed on the last frame of image collected during the operation of the camera.

In some embodiments, when the user opens the camera application through another application, when the camera has not finished focusing, the interface of the electronic device displays the blurred image of the last frame of the image captured during the last camera operation. After the camera finishes focusing, the interface of the electronic device displays the focused image collected by the camera.

In some embodiments, the images captured by the cameras may have different sharpness and brightness. θ ₁ is used to represent the sharpness threshold of the image captured by the camera, and θ ₂ is used to represent the brightness threshold of the image captured by the camera. The above-mentioned sharpness threshold and brightness threshold may be set by the user, or may be preset by the system. When the sharpness of the image collected by the camera is less than the sharpness threshold θ ₁ , or the brightness of the image collected by the camera is less than the brightness threshold θ ₂ , the interface of the above-mentioned electronic device displays that the last frame of the image collected during the previous operation of the camera has been blurred. processed image.

When the sharpness of the image collected by the camera is greater than the sharpness threshold θ ₁ and the brightness of the image collected by the camera is greater than the brightness threshold θ ₂ , the interface of the electronic device displays the image collected by the camera.

In some embodiments, different application programs may acquire image data after blurring of the last frame of image collected during the last camera running process and stored in the RAM corresponding to the camera application. Different application programs can also obtain the blurred image file stored in the ROM corresponding to the camera application from the last frame of the image collected during the last camera running process. Different applications can also acquire the image file of the last frame of image collected during the last camera running process and stored in the ROM corresponding to the camera application.

Through the above image display method, during the startup process of the camera application, the internal memory can quickly provide the blurred image data of the last frame of the image collected during the last camera running process. What the user sees is the blurred image of the last frame of the image collected during the last camera operation, which improves the user experience.

All applications using the system camera service on the electronic device can obtain the blurred image data stored in the internal memory when the camera application is started, and each application does not need to store the last frame of the image collected during the operation of the camera. Blur the image data to save memory.

Through AI training, a blur coefficient model is obtained, and the blur coefficient model is used to extract the blur coefficient of the image collected during the camera focusing process, and the blur coefficient is used to blur the last frame of the image collected during the previous camera operation. When the user uses the camera next time, an image similar to the degree of blurring during the focusing process of the camera can be presented to the user, so that the interface of the electronic device can display the blurred image from the last frame of the image collected during the previous operation of the camera. , the process of switching to displaying the image while the camera is in focus, and then to displaying the image after the camera is in focus is smoother.

From the description of the above embodiments, those skilled in the art can clearly understand that for the convenience and brevity of the description, only the division of the above functional modules is used as an example for illustration. In practical applications, the above functions can be allocated as required. It is completed by different functional modules, that is, the internal structure of the device is divided into different functional modules, so as to complete all or part of the functions described above. For the specific working process of the system, apparatus and unit described above, reference may be made to the corresponding process in the foregoing method embodiments, and details are not described herein again.

Each functional unit in each of the embodiments of the embodiments of the present application may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware, or may be implemented in the form of software functional units.

The above are merely examples of the embodiments of the present application, but the protection scope of the embodiments of the present application is not limited thereto, and any changes or substitutions within the technical scope disclosed in the embodiments of the present application shall be covered by this within the protection scope of the application examples. Therefore, the protection scope of the embodiments of the present application should be subject to the protection scope of the claims.

Claims

A method for image display, characterized in that the method comprises:

The first action of the user is detected,

In response to the first operation, the electronic device displays a first shooting preview interface, the first shooting preview interface includes a first preview frame, the first preview frame displays a first image, and the first image is a blurred image ;

After a first preset time, the electronic device displays a second shooting preview interface, the second shooting preview interface includes a second preview frame, and the second preview frame displays an image captured in real time by a camera of the electronic device.
The method according to claim 1, wherein the first image is an image obtained by blurring an image collected by a camera of the electronic device.
The method according to any one of claims 1-2, wherein the first preset time is a power-on time of the camera of the electronic device.
The method according to any one of claims 1-3, wherein before the electronic device displays the first shooting preview interface, the method further comprises: saving the first image.
The method according to claim 4, wherein the method further comprises:

If the first image is not stored in the electronic device, the first image is a black image.
The method according to any one of claims 2-5, characterized in that, the blurring process is to use a blur coefficient to process the image collected by the camera.
An electronic device comprising one or more touch screens, one or more memories, and one or more processors; wherein the one or more memories store one or more computer programs; it is characterized in that:

the one or more touch screens for detecting the first operation of the user;

In response to the first operation, the one or more touch screens are further configured to display a first shooting preview interface, the first shooting preview interface includes a first preview frame, and the first preview frame displays a first image, the first image is a blurred image;

After a first preset time, the one or more touch screens are further configured to display a second shooting preview interface, where the second shooting preview interface includes a second preview frame, and the second preview frame displays the camera of the electronic device Images acquired in real time.
The electronic device according to claim 7, wherein the first image is an image obtained by blurring an image captured by a camera of the electronic device.
The electronic device according to any one of claims 7-8, wherein the first preset time is a power-on time of the camera of the electronic device.
The electronic device according to any one of claims 7-9, wherein before displaying the first shooting preview interface, the one or more memories are used to save the first image.
The electronic device of claim 10, wherein if the first image is not stored in the one or more memories, the first image is a black image.
The electronic device according to any one of claims 8-11, wherein the one or more processors are configured to process the images collected by the camera by using blur coefficients.
A computer-readable storage medium comprising instructions, characterized in that, when the instructions are executed on an electronic device, the electronic device is caused to perform the method according to any one of claims 1-6.