CN107231470B

CN107231470B - Image processing method, mobile terminal and computer readable storage medium

Info

Publication number: CN107231470B
Application number: CN201710342667.3A
Authority: CN
Inventors: 张菱垚; 徐群
Original assignee: Nubia Technology Co Ltd
Current assignee: Nubia Technology Co Ltd
Priority date: 2017-05-15
Filing date: 2017-05-15
Publication date: 2020-06-23
Anticipated expiration: 2037-05-15
Also published as: CN107231470A

Abstract

The invention discloses an image processing method, which comprises the following steps: when a shooting instruction is detected, acquiring a fingerprint image to be compared corresponding to the shooting instruction; comparing the fingerprint image to be compared with a prestored fingerprint image so as to obtain a target face image corresponding to the fingerprint image to be compared through the prestored fingerprint image; and determining the figure image to be beautified in the image shot through the shooting instruction according to the target face image, and beautifying the figure image to be beautified. The invention also discloses a mobile terminal and a computer readable storage medium. The invention realizes that a specific figure image needing to be beautified in the shot image is determined through the fingerprint so as to achieve the effect of automatically beautifying the single person image in the shot image. Meanwhile, the mobile terminal can automatically beautify the single image in the shot image, so that the operation flow of beautifying the image is simplified.

Description

Image processing method, mobile terminal and computer readable storage medium

Technical Field

The present invention relates to the field of image processing technologies, and in particular, to an image processing method, a mobile terminal, and a computer-readable storage medium.

Background

The photographing is an important function of the mobile terminal, and the strength of the photographing function is even a key point for determining whether the mobile terminal attracts consumers. Beauty is a nature of people, and especially when a mobile terminal is used for self-shooting, a user can be very interested in self-shooting effects, so that various mobile APPs (applications) for realizing functions such as self-shooting beautification and the like are developed on the Internet, such as famous Faceu sprouts, beauty cameras and the like. When many people autodyne together, the face feature that is shot out is bigger for the people that is close to the camera lens, leads to the auto heterodyne effect not good, has solved this problem from the rapping bar to a certain extent. However, the selfie stick is inconvenient to carry, and the problem of poor photographing effect caused by the distance is not solved fundamentally, and the face of a person taking the selfie stick is still bigger compared with the person not taking the selfie stick.

At present, all methods for automatically processing the photo during self-shooting in the market are processing the whole photo content, and the beautifying processing for shooting of a single person cannot be realized.

Disclosure of Invention

The invention mainly aims to provide an image processing method, a mobile terminal and a computer readable storage medium, and aims to solve the technical problems that the existing image processing method can only beautify the whole image content and cannot beautify a single person in an image.

In order to achieve the above object, the present invention provides an image processing method comprising:

when a shooting instruction is detected, acquiring a fingerprint image to be compared corresponding to the shooting instruction;

comparing the fingerprint image to be compared with a prestored fingerprint image so as to obtain a target face image corresponding to the fingerprint image to be compared through the prestored fingerprint image;

and determining a figure image to be beautified in the image shot by the shooting instruction according to the target face image, and beautifying the figure image to be beautified.

Optionally, the step of comparing the fingerprint image to be compared with a pre-stored fingerprint image to obtain a target face image corresponding to the fingerprint image to be compared through the pre-stored fingerprint image includes:

comparing the fingerprint image to be compared with the prestored fingerprint image, and determining the similarity between the fingerprint image to be compared and the prestored fingerprint image;

determining a target fingerprint image corresponding to the fingerprint image to be compared in the prestored fingerprint images according to the similarity;

and determining a target face image corresponding to the target fingerprint image through the mapping relation between the target fingerprint image and the target face image based on the target fingerprint image.

Optionally, when the shooting instruction is detected, before the step of acquiring the fingerprint image to be compared corresponding to the shooting instruction, the method further includes:

acquiring a target fingerprint image of a user, and acquiring target face images of the user with different expressions and/or different shooting angles;

and correspondingly storing the target fingerprint image and the target face image to establish a mapping relation between the target fingerprint image and the target face image.

Optionally, before the step of determining the image of the person to be beautified in the image captured by the capturing instruction according to the target face image, the method further includes:

segmenting the face in the image shot by the shooting instruction to obtain a face image to be compared;

the step of determining the figure image to be beautified in the image shot by the shooting instruction according to the target face image and beautifying the figure image to be beautified comprises the following steps:

comparing the target face image with a face image to be compared, and determining a figure image to be beautified, which has similarity greater than or equal to a preset similarity with the target face image, in the face image to be compared;

and beautifying the figure image to be beautified.

Optionally, the step of determining, according to the target face image, a to-be-beautified person image in the image captured by the capturing instruction, and the step of performing beautification processing on the to-be-beautified person image includes:

determining a figure image to be beautified in the image shot through the shooting instruction according to the target face image, and judging whether the beautifying function is started;

and if the beautifying function is started, beautifying the figure image to be beautified through the beautifying function.

Optionally, the beautifying processing on the image of the person to be beautified includes:

determining a default beautification grade for beautifying the figure image to be beautified;

and beautifying the figure image to be beautified according to the default beautification grade.

and performing one or more beautifying operations of face thinning, body slimming, skin grinding and whitening, acne removing and freckle removing, dark eye circle removing, eye beautifying and eye brightening on the figure image to be beautified.

Optionally, after the step of determining an image of a person to be beautified in the image captured by the capturing instruction according to the target face image and performing beautification processing on the image of the person to be beautified, the method further includes:

storing the shot image after beautifying the figure image to be beautified and storing the shot image which is not beautified;

and outputting prompt information to prompt a user to share the shot image and/or the shot image which is not beautified after beautifying the figure image to be beautified.

Furthermore, to achieve the above object, the present invention also provides a mobile terminal including a memory, a processor, and an image processing program stored on the memory and executable on the processor, the image processing program implementing the steps of the image processing method as described above when executed by the processor.

Further, to achieve the above object, the present invention also provides a computer-readable storage medium having stored thereon an image processing program which, when executed by a processor, implements the steps of the image processing method as described above.

In the invention, when a shooting instruction is detected, a fingerprint image to be compared corresponding to the shooting instruction is acquired; comparing the fingerprint image to be compared with a prestored fingerprint image so as to obtain a target face image corresponding to the fingerprint image to be compared through the prestored fingerprint image; and determining a figure image to be beautified in the image shot by the shooting instruction according to the target face image, and beautifying the figure image to be beautified. The method and the device realize that a specific figure image needing to be beautified in the shot image is determined through the fingerprint so as to achieve the effect of automatically beautifying the single person image in the shot image. Meanwhile, the mobile terminal can automatically beautify the single image in the shot image, so that the operation flow of beautifying the image is simplified.

Drawings

Fig. 1 is a schematic diagram of a hardware structure of a terminal for implementing various embodiments of the present invention;

fig. 2 is a diagram of a communication network system architecture according to an embodiment of the present invention;

FIG. 3 is a flowchart illustrating a first embodiment of an image processing method according to the present invention;

FIG. 4 is a schematic diagram of an embodiment of a mobile terminal with a front camera for capturing images;

FIG. 5 is a diagram illustrating a user clicking a capture button in a mobile terminal according to an embodiment of the present invention;

FIG. 6 is a schematic flow chart of step S20 in FIG. 3;

FIG. 7 is a schematic diagram of an image captured by the mobile terminal of FIG. 4 via the front camera;

FIG. 8 is a flowchart illustrating a second embodiment of an image processing method according to the present invention;

FIG. 9 is a flowchart illustrating a third embodiment of an image processing method according to the present invention;

FIG. 10 is a flowchart illustrating an image processing method according to a fourth embodiment of the present invention.

The implementation, functional features and advantages of the present invention will be described with reference to the accompanying drawings.

Detailed Description

It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in itself. Thus, "module", "component" or "unit" may be used mixedly.

The terminal may be implemented in various forms. For example, the terminal described in the present invention may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, and the like, and a fixed terminal such as a Digital TV, a desktop computer, and the like.

The following description will be given by way of example of a mobile terminal, and it will be understood by those skilled in the art that the construction according to the embodiment of the present invention can be applied to a fixed type terminal, in addition to elements particularly used for mobile purposes.

Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present invention, the mobile terminal 100 may include: RF (Radio Frequency) unit 101, Wi-Fi module 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal 100 depicted in fig. 1 is not intended to be limiting of the mobile terminal 100, and that the mobile terminal 100 may include more or less components than those shown, or some components may be combined, or a different arrangement of components.

The various components of the mobile terminal 100 are described in detail below with reference to fig. 1:

the radio frequency unit 101 may be configured to receive and transmit signals during information transmission and reception or during a call, and specifically, receive downlink information of a base station and then process the downlink information to the processor 110; in addition, the uplink data is transmitted to the base station. Typically, radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 can also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division Multiple Access), FDD-LTE (Frequency Division duplex Long Term Evolution), and TDD-LTE (Time Division duplex Long Term Evolution).

Wi-Fi belongs to a short-distance wireless transmission technology, and the mobile terminal 100 can help a user to send and receive e-mails, browse webpages, access streaming media and the like through the Wi-Fi module 102, and provides wireless broadband internet access for the user. Although fig. 1 shows the Wi-Fi module 102, it is understood that it does not belong to the essential constitution of the mobile terminal 100, and may be omitted entirely as needed within the scope not changing the essence of the invention.

The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the Wi-Fi module 102 or stored in the memory 109 into an audio signal and output as sound when the mobile terminal 100 is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, and the like.

The a/V input unit 104 is used to receive audio or video signals. The A/V input Unit 104 may include, but is not limited to, a Graphics Processing Unit (GPU) that processes image data of still pictures or video obtained by an image capture device (e.g., a camera) in a video capture mode or an image capture mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphics processor may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the Wi-Fi module 102.

The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 1061 and/or a backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.

The display unit 106 is used to display information input by a user or information provided to the user. The Display unit 106 may include a Display panel 1061, and the Display panel 1061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect a touch operation performed by a user on or near the touch panel 1071 (e.g., an operation performed by the user on or near the touch panel 1071 using a finger, a stylus, or any other suitable object or accessory), and drive a corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and can receive and execute commands sent by the processor 110. In addition, the touch panel 1071 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may include other input devices 1072. In particular, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like, and are not limited to these specific examples.

Further, the touch panel 1071 may cover the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although the touch panel 1071 and the display panel 1061 are shown in fig. 1 as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.

The interface unit 108 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and external devices.

The memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 109 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The processor 110 is a control center of the mobile terminal 100, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal 100 and processes data by operating or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby monitoring the mobile terminal 100 as a whole. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.

Further, in the mobile terminal 100 shown in fig. 1, the processor 110 is configured to call the image processing program stored in the memory 109 and perform the following operations:

and determining the figure image to be beautified in the image shot through the shooting instruction according to the target face image, and beautifying the figure image to be beautified.

Further, the step of comparing the fingerprint image to be compared with the pre-stored fingerprint image to obtain the target face image corresponding to the fingerprint image to be compared through the pre-stored fingerprint image comprises:

comparing the fingerprint image to be compared with a prestored fingerprint image, and determining the similarity between the fingerprint image to be compared and the prestored fingerprint image;

Further, when the photographing instruction is detected, before the step of acquiring the fingerprint image to be compared corresponding to the photographing instruction, the processor 110 is further configured to call an image processing program stored in the memory 109, and perform the following operations:

Further, before the step of determining the image of the person to be beautified in the image captured by the capturing instruction according to the target face image, the processor 110 is further configured to call an image processing program stored in the memory 109, and perform the following operations:

determining a figure image to be beautified in the image shot by the shooting instruction according to the target face image, wherein the step of beautifying the figure image to be beautified comprises the following steps:

comparing the target face image with the face image to be compared, and determining the figure image to be beautified, of which the similarity with the target face image is greater than or equal to the preset similarity, in the face image to be compared;

and beautifying the figure image to be beautified.

Further, determining a figure image to be beautified in the image shot by the shooting instruction according to the target face image, and beautifying the figure image to be beautified, wherein the step of beautifying the figure image to be beautified comprises the following steps:

if the beautifying function is started, beautifying the figure image to be beautified through the beautifying function.

Further, the step of beautifying the figure image to be beautified comprises:

Further, after the step of determining the image of the person to be beautified in the image captured by the capturing instruction according to the target face image, and performing beautification processing on the image of the person to be beautified, the processor 110 is further configured to call an image processing program stored in the memory 109, and perform the following operations:

storing shot images after beautifying the images of the people to be beautified and storing shot images which are not beautified;

and outputting prompt information to prompt the user to share the shot image and/or the shot image which is not beautified after beautifying the image of the person to be beautified.

The mobile terminal 100 may further include a power supply 111 (e.g., a battery) for supplying power to various components, and preferably, the power supply 111 may be logically connected to the processor 110 via a power management system, so as to manage charging, discharging, and power consumption management functions via the power management system.

Although not shown in fig. 1, the mobile terminal 100 may further include a bluetooth module or the like, which is not described in detail herein.

In order to facilitate understanding of the embodiments of the present invention, a communication network system on which the mobile terminal of the present invention is based is described below.

Referring to fig. 2, fig. 2 is an architecture diagram of a communication Network system according to an embodiment of the present invention, where the communication Network system is an LTE system of a universal mobile telecommunications technology, and the LTE system includes a UE (User Equipment) 201, an E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) 202, an EPC (Evolved Packet Core) 203, and an IP service 204 of an operator, which are in communication connection in sequence.

Specifically, the UE201 may be the mobile terminal 100 described above, and is not described herein again.

The E-UTRAN202 includes eNodeB2021 and other eNodeBs 2022, among others. Among them, the eNodeB2021 may be connected with other eNodeB2022 through backhaul (e.g., X2 interface), the eNodeB2021 is connected to the EPC203, and the eNodeB2021 may provide the UE201 access to the EPC 203.

The EPC203 may include an MME (Mobility Management Entity) 2031, an HSS (Home Subscriber Server) 2032, other MMEs 2033, an SGW (Serving gateway) 2034, a PGW (PDN gateway) 2035, and a PCRF (Policy and charging functions Entity) 2036, and the like. The MME2031 is a control node that handles signaling between the UE201 and the EPC203, and provides bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location register (not shown) and holds subscriber specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034, PGW2035 may provide IP address assignment for UE201 and other functions, and PCRF2036 is a policy and charging control policy decision point for traffic data flow and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).

The IP services 204 may include the internet, intranets, IMS (IP Multimedia Subsystem), or other IP services, among others.

Although the LTE system is described as an example, it should be understood by those skilled in the art that the present invention is not limited to the LTE system, but may also be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems.

Based on the above terminal hardware structure and communication network system, various embodiments of the image processing method of the present invention are proposed.

The invention provides an image processing method.

Referring to fig. 3, fig. 3 is a flowchart illustrating an image processing method according to a first embodiment of the present invention.

In the present embodiment, an embodiment of an image processing method is provided, and it should be noted that although a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in an order different from that here.

In this embodiment, an image processing method is optionally applied to the mobile terminal 100, and the image processing method includes:

step S10, when the photographing instruction is detected, acquiring the fingerprint image to be compared corresponding to the photographing instruction.

In the embodiment of the present invention, the mobile terminal 100 has at least two cameras, one is a front camera and the other is a rear camera. When the front camera of the mobile terminal 100 is started and a shooting instruction for shooting an image by the front camera is detected, a fingerprint image to be compared corresponding to the shooting instruction is obtained. In the embodiment of the invention, the user shoots the image containing the user through the front camera. It is understood that the photographing instruction may be generated by the user clicking a photographing button in the mobile terminal 100, or may be generated by the user clicking a photographing shortcut key of the mobile terminal 100.

In the embodiment of the present invention, when the user clicks the shooting button or the shooting shortcut key of the mobile terminal 100, the mobile terminal 100 acquires the fingerprint image to be compared corresponding to the shooting instruction through the fingerprint sensor. The fingerprint sensor may be an optical fingerprint sensor, a semiconductor capacitance sensor, or a semiconductor pressure sensor, etc.

Specifically, referring to fig. 4 and 5, fig. 4 is a schematic diagram of an image captured by a front camera of the mobile terminal 100 according to an embodiment of the present invention; fig. 5 is a schematic diagram illustrating a user clicking a shooting button in the mobile terminal 100 according to an embodiment of the present invention. As can be seen from fig. 5, when the user clicks the shooting button, the mobile terminal 100 may acquire the fingerprint image of the user, that is, acquire the fingerprint image to be compared.

And step S20, comparing the fingerprint image to be compared with the pre-stored fingerprint image to obtain a target face image corresponding to the fingerprint image to be compared through the pre-stored fingerprint image.

When the mobile terminal 100 acquires the fingerprint image to be compared, the fingerprint image to be compared is compared with the pre-stored fingerprint image in the feature database to obtain a comparison result, and the target face image corresponding to the image to be compared in the feature database is obtained according to the comparison result. It should be noted that, in the feature database, one user may correspond to only one pre-stored fingerprint image or to a plurality of pre-stored fingerprint images. When a user corresponds to a pre-stored fingerprint image, the mobile terminal 100 may prompt the user to trigger a photographing instruction through a finger corresponding to the pre-stored fingerprint image; when one user corresponds to a plurality of pre-stored fingerprint images, the user can select the corresponding finger to trigger a shooting instruction according to the current requirement.

Further, referring to fig. 6, step S20 includes:

and step S21, comparing the fingerprint image to be compared with the prestored fingerprint image, and determining the similarity between the fingerprint image to be compared and the prestored fingerprint image.

Further, the mobile terminal 100 compares the fingerprint image to be compared with the pre-stored fingerprint image, and determines a similarity between the fingerprint image to be compared and the pre-stored fingerprint image. Specifically, after obtaining a fingerprint image to be compared, performing image enhancement processing on the fingerprint image to be compared, detecting an area where a fingerprint is located, determining a fingerprint directional diagram, and performing image binarization on the fingerprint image to be compared to obtain a preprocessed fingerprint image to be compared; acquiring ridge line data of the fingerprint from the preprocessed fingerprint image to be compared, extracting characteristic points required by the fingerprint from the ridge line data of the fingerprint, comparing the extracted characteristic points with the pre-stored fingerprint in the characteristic database, and determining the similarity between the fingerprint image to be compared and the pre-stored fingerprint image.

And step S22, determining a target fingerprint image corresponding to the fingerprint image to be compared in the prestored fingerprint images according to the similarity.

When the similarity between the fingerprint image to be compared and the pre-stored fingerprint image is determined, the mobile terminal 100 determines whether the similarity is greater than or equal to a preset fingerprint similarity. When the fingerprint similarity is greater than or equal to the preset fingerprint similarity, the mobile terminal 100 determines that the pre-stored fingerprint image corresponding to the preset fingerprint similarity is the target fingerprint image corresponding to the fingerprint image to be compared; and when a plurality of pre-stored fingerprint images corresponding to the preset fingerprint similarity exist, selecting the pre-stored fingerprint image with the maximum similarity as the target fingerprint image. In the present embodiment, the preset fingerprint similarity may be set according to specific situations, for example, may be set to 70%, or set to 85%.

In step S23, a target face image corresponding to the target fingerprint image is determined by the mapping relationship between the target fingerprint image and the target face image based on the target fingerprint image.

After determining the target fingerprint image, the mobile terminal 100 acquires a mapping relationship between the target fingerprint image and the target face image. The mobile terminal 100 determines a target face image corresponding to the target fingerprint image from the target fingerprint image through the acquired mapping relationship.

Further, when the similarity between the fingerprint image to be compared and the pre-stored fingerprint image is less than the preset fingerprint similarity, the mobile terminal 100 directly stores the image photographed by the photographing instruction.

And step S30, determining the figure image to be beautified in the image shot by the shooting command according to the target face image, and beautifying the figure image to be beautified.

After the mobile terminal 100 determines the target face image, the mobile terminal 100 determines the figure image to be beautified in the image shot by the shooting instruction according to the target face image, and automatically beautifies the figure image to be beautified. When only one person exists in the image shot by the mobile terminal 100, the person in the shot image can be understood as the image of the person to be beautified; when a plurality of persons exist in the captured image, the person image to be beautified in the image captured by the capturing instruction is determined according to the target face image. Specifically, referring to fig. 7, fig. 7 is a schematic diagram of an image captured by the mobile terminal 100 in fig. 4 through a front camera.

Further, when the mobile terminal 100 acquires the captured image through the capturing instruction, the number of persons in the captured image may be determined first. When only one person exists in the shot image, the shot image can be beautified directly; when at least two persons are in the shot image, the fingerprint image to be compared is required to be obtained to determine the person image to be beautified in the shot image. The method avoids the operation of acquiring the fingerprint image to be compared to determine the figure image to be beautified in the shot image when the shot image only has one figure.

Further, the step of beautifying the figure image to be beautified comprises:

step a, performing one or more beautifying operations of face slimming, body slimming, skin grinding and whitening, acne removing and freckle removing, dark eye circle removing, eye beautifying and eye brightening on the image of the person to be beautified.

Further, the mobile terminal 100 performs beautification processing on the to-be-beautified person image, including but not limited to performing one or more beautification operations of face slimming, body slimming, skin grinding and whitening, acne removing and freckle removing, dark eye removing, eye beautifying and eye brightening on the to-be-beautified person image.

If the user uses the front camera of the mobile terminal 100 to perform self-photographing with friends, and the user clicks the photographing button of the mobile terminal 100 with a finger to photograph, the mobile terminal 100 obtains the fingerprint image of the user through the fingerprint sensor, determines the user image in the feature database according to the fingerprint image, determines the user image in the photographed picture according to the determined user image, performs beautifying operation on the user image in the photographed picture, and avoids the occurrence of the situation that the self-photographing effect of the photographer is not good during self-photographing.

In the embodiment, when a shooting instruction is detected, a fingerprint image to be compared corresponding to the shooting instruction is acquired; comparing the fingerprint image to be compared with a prestored fingerprint image so as to obtain a target face image corresponding to the fingerprint image to be compared through the prestored fingerprint image; and determining the figure image to be beautified in the image shot through the shooting instruction according to the target face image, and beautifying the figure image to be beautified. The method and the device realize that a specific figure image needing to be beautified in the shot image is determined through the fingerprint so as to achieve the effect of automatically beautifying the single person image in the shot image. Meanwhile, the mobile terminal 100 can automatically beautify the single image in the captured image, thereby simplifying the operation flow of beautifying the image.

Further, a second embodiment of the image processing method of the present invention is proposed based on the first embodiment.

The second embodiment of the image processing method differs from the first embodiment of the image processing method in that, referring to fig. 8, the image processing method further includes:

step S40, acquiring a target fingerprint image of the user, and acquiring target facial images of different expressions and/or different shooting angles of the user.

The mobile terminal 100 acquires a target fingerprint image of a user and acquires target face images of different expressions and/or different photographing angles of the user. In the embodiment of the invention, a user can input one or more target fingerprint images according to specific needs. Target face images of different expressions include, but are not limited to, smile target face images, laugh target face images, victory target face images, and crying target face images. The target face images of different photographing angles include, but are not limited to, a left target face image, a right target face image, and a front target face image. The target face image with the same expression and the same shooting angle can be one image or a plurality of images.

Step S50, the target fingerprint image and the target face image are correspondingly stored to establish a mapping relationship between the target fingerprint image and the target face image.

When the mobile terminal 100 acquires the target fingerprint image and the target face image, the target fingerprint image and the target face image are correspondingly stored in the feature database to establish a mapping relationship between the target fingerprint image and the target face image, so that the mobile terminal 100 finds the corresponding target face image through the target fingerprint image. It will be appreciated that the mapping relationship between the target fingerprint image and the target face image may be one-to-one, one-to-many, many-to-one, or many-to-many. If the mapping relation between the target fingerprint image and the target face image is one-to-one, the target fingerprint image and the target face image are only one; when the mapping relation between the target fingerprint image and the target face image is one-to-many, the target fingerprint image of the user is only one, and the target face image of the user is multiple; when the mapping relationship between the target fingerprint image and the target face image is many-to-many, it indicates that there are a plurality of target fingerprint images and target face images of the user. In an embodiment of the present invention, the mapping relationship between the target fingerprint image and the target face image is preferably a many-to-many relationship.

According to the embodiment, the target fingerprint image of the user is acquired, the target face images of the user with different expressions and/or different shooting angles are acquired, the mapping relation between the target fingerprint image and the target face image is established, and the accuracy rate of identifying the figure image to be beautified in the shot image is improved.

Further, a third embodiment of the image processing method of the present invention is proposed based on the first embodiment.

The third embodiment of the image processing method differs from the first embodiment of the image processing method in that, referring to fig. 9, the image processing method further includes:

and step S60, segmenting the human face in the image shot by the shooting instruction to obtain a human face image to be compared.

When the mobile terminal 100 acquires the shot image through the shooting instruction, the face in the shot image is segmented to obtain the face image to be compared in the shot image. Specifically, the mobile terminal 100 may recognize a face contour through a face recognition algorithm, and segment a face in the captured image through the face contour. In the embodiment of the invention, the face recognition algorithm comprises a recognition algorithm based on face characteristic points, a recognition algorithm based on the whole face image, a recognition algorithm based on a template, an algorithm for recognition by utilizing a neural network and the like.

Step S30 includes:

and step S31, comparing the target face image with the face image to be compared, and determining the person image to be beautified in the face image to be compared, wherein the similarity of the person image to be compared and the target face image is greater than or equal to the preset similarity.

And step S32, performing beautification processing on the figure image to be beautified.

After the mobile terminal 100 obtains the face image to be compared, the target face image is compared with the face image to be compared, the similarity between the face image to be compared and the target face image is determined, and whether the similarity is greater than or equal to a preset similarity is judged. When determining the face image to be compared, of which the similarity with the target face image is greater than or equal to the preset similarity, in the face image to be compared, the mobile terminal 100 determines the figure image to be beautified according to the face image to be compared, of which the similarity is greater than the preset similarity. It can be understood that the face image to be compared corresponding to the similarity greater than the preset similarity is the image of the person to be beautified. It should be noted that, in the embodiment of the present invention, the image of the person to be beautified includes both the face image and the image content corresponding to the face image and belonging to the same user. The preset similarity may be set according to specific situations. Such as 70% or 80%.

Further, when there are a plurality of to-be-beautified character images, the mobile terminal 100 performs beautification processing only on the to-be-beautified character image having the greatest similarity with the target face image. When the similarity between the face image to be compared and the target face image is less than the preset similarity, the mobile terminal 100 does not automatically perform an operation of beautifying the photographed image. The user can manually perform the operation of beautifying the photographed image as needed.

Further, step S30 further includes:

and b, determining the image of the person to be beautified in the image shot through the shooting instruction according to the target face image, and judging whether the beautifying function is started.

And c, if the beautifying function is started, beautifying the figure image to be beautified through the beautifying function.

When the mobile terminal 100 determines an image of a person to be beautified among images photographed by the photographing instruction according to the target face image, the mobile terminal 100 determines whether the beauty function of the camera is turned on. When the beauty function of the camera is turned on, the mobile terminal 100 performs a beautification process on the image of the character to be beautified according to the beauty function. When the beauty function of the camera is not turned on, the mobile terminal 100 may output a prompt message to prompt the user to turn on the beauty function, or directly store the photographed image without performing an operation of beautifying the photographed image.

Further, the step of beautifying the figure image to be beautified comprises:

step d, determining a default beautification grade for beautifying the figure image to be beautified;

and e, beautifying the figure image to be beautified according to the default beautification grade.

Further, the specific process of the mobile terminal 100 performing beautification processing on the to-be-beautified person image is as follows: the mobile terminal 100 determines a default beautification level for beautifying the image of the person to be beautified and beautifies the image of the person to be beautified according to the determined default beautification level. The default beautification level may be set by the user according to personal needs, or the beautification level of the mobile terminal 100 may be set as the default beautification level. The mobile terminal 100 has its own beautification level that the developer sets according to mass aesthetic standards.

According to the embodiment, the face image to be compared is obtained by segmenting the face in the image shot by the shooting instruction, so that the accuracy rate of determining the figure image to be beautified is improved.

Further, a fourth embodiment of the image processing method of the present invention is proposed based on the first, second, and/or third embodiment.

The fourth embodiment of the image processing method differs from the first, second and/or third embodiment of the image processing method in that, referring to fig. 10, the image processing method further includes:

step S70, storing the shot image after beautifying the image of the person to be beautified, and storing the shot image which is not beautified.

And step S80, outputting prompt information to prompt the user to share the shot image and/or the shot picture which is not beautified after beautifying the figure image to be beautified.

When the mobile terminal 100 beautifies the to-be-beautified character image in the photographed image, the mobile terminal 100 stores the photographed image after beautifying the to-be-beautified character image, and stores photographed images that are not beautified. After the mobile terminal 100 stores the shot image after beautifying the image of the person to be beautified and the shot image that is not beautified, the mobile terminal 100 outputs prompt information to prompt the user to share the shot image after beautifying the image of the person to be beautified and/or the shot image that is not beautified. The user can choose to share only the shot image after beautifying the image of the person to be beautified, or choose to share only the shot image which is not beautified, or choose to share the shot image after beautifying the image of the person to be beautified and the shot image which is not beautified at the same time, or choose not to share the shot image after beautifying the image of the person to be beautified and the shot image which is not beautified. The user can share the shot image after beautifying the image of the person to be beautified and/or the shot image which is not beautified to public platforms such as WeChat friend circles, microblogs, QQ spaces and the like. It should be noted that the presentation form of the prompt message in this embodiment includes, but is not limited to, text message and voice message.

According to the embodiment, the shot image after beautifying the image of the person to be beautified is stored, the shot image without beautifying is stored, and the prompt message is output to prompt the user to share the shot image after beautifying the image of the person to be beautified and/or the shot image without beautifying, so that the intelligence of the mobile terminal 100 is improved.

In addition, the embodiment of the invention also provides a computer readable storage medium.

The computer readable storage medium has stored thereon an image processing program which, when executed by a processor, implements the steps of:

In the invention, when a shooting instruction is detected, a fingerprint image to be compared corresponding to the shooting instruction is acquired; comparing the fingerprint image to be compared with a prestored fingerprint image so as to obtain a target face image corresponding to the fingerprint image to be compared through the prestored fingerprint image; and determining the figure image to be beautified in the image shot through the shooting instruction according to the target face image, and beautifying the figure image to be beautified. The method and the device realize that a specific figure image needing to be beautified in the shot image is determined through the fingerprint so as to achieve the effect of automatically beautifying the single person image in the shot image. Meanwhile, the mobile terminal 100 can automatically beautify the single image in the captured image, thereby simplifying the operation flow of beautifying the image.

Further, when a shooting instruction is detected, before the step of acquiring the fingerprint image to be compared corresponding to the shooting instruction, the image processing program is executed by the processor to realize the following steps:

Further, before the step of determining the image of the person to be beautified in the image captured by the capturing instruction based on the target face image, the image processing program when executed by the processor realizes the steps of:

and beautifying the figure image to be beautified.

Further, the step of beautifying the figure image to be beautified comprises:

Further, after the step of determining the figure image to be beautified in the image shot by the shooting instruction according to the target face image, and performing beautification processing on the figure image to be beautified, the image processing program realizes the following steps when being executed by the processor:

The specific implementation of the computer-readable storage medium of the present invention is substantially the same as the embodiments of the image processing method described above, and is not described herein again.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.

The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.

The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims

1. An image processing method, characterized in that the image processing method comprises:

and beautifying the figure image to be beautified.

2. The image processing method according to claim 1, wherein the step of comparing the fingerprint image to be compared with a pre-stored fingerprint image to obtain a target face image corresponding to the fingerprint image to be compared from the pre-stored fingerprint image comprises:

3. The image processing method as claimed in claim 2, wherein before the step of acquiring the fingerprint image to be compared corresponding to the photographing instruction when the photographing instruction is detected, the method further comprises:

4. The image processing method according to claim 1, wherein the beautification processing of the image of the person to be beautified comprises:

5. The image processing method according to claim 1, wherein the beautification processing of the image of the person to be beautified comprises:

6. The image processing method according to any one of claims 1 to 5, wherein the step of performing beautification processing on the image of the person to be beautified further comprises:

and outputting prompt information to prompt a user to share the shot image after beautifying the image of the person to be beautified and/or the shot image which is not beautified.

7. A mobile terminal, characterized in that the mobile terminal comprises a memory, a processor and an image processing program stored on the memory and executable on the processor, the image processing program, when executed by the processor, implementing the steps of the image processing method according to any one of claims 1 to 6.

8. A computer-readable storage medium, characterized in that an image processing program is stored thereon, which when executed by a processor implements the steps of the image processing method according to any one of claims 1 to 6.