CN107295262B

CN107295262B - Image processing method, mobile terminal and computer storage medium

Info

Publication number: CN107295262B
Application number: CN201710632757.6A
Authority: CN
Inventors: 何世强
Original assignee: Nubia Technology Co Ltd
Current assignee: Nubia Technology Co Ltd
Priority date: 2017-07-28
Filing date: 2017-07-28
Publication date: 2021-03-26
Anticipated expiration: 2037-07-28
Also published as: CN107295262A

Abstract

The invention discloses an image processing method, a mobile terminal and a computer storage medium. The image processing method comprises the following steps: entering an image preview mode, and collecting a preview image; extracting the imaging area of the alternative object in the preview image; calculating the distance between the alternative object and the image collector based on the acquisition parameters for forming the preview image; selecting a first object from the candidate objects by combining the imaging area and the distance; focusing and acquiring to form a first image based on the first object.

Description

Image processing method, mobile terminal and computer storage medium

Technical Field

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

Background

With the development of image processing technology, in the process of carrying out intelligent image acquisition or intelligent image generation, automatic focusing and other processing appear, so that the focusing position is aligned to an object which a user wants to focus on for acquisition. However, the existing automatic focusing still has the problem of inaccurate focusing.

Disclosure of Invention

In view of the above, embodiments of the present invention provide a mobile terminal image processing method, a mobile terminal and a computer storage medium to solve at least one problem in the prior art.

The technical scheme of the embodiment of the invention is realized as follows:

a first aspect of an embodiment of the present invention provides an image processing method, including:

entering an image preview mode, and collecting a preview image;

extracting the imaging area of the alternative object in the preview image;

calculating the distance between the alternative object and the image collector based on the acquisition parameters for forming the preview image;

selecting a first object from the candidate objects by combining the imaging area and the distance;

focusing and acquiring to form a first image based on the first object.

Optionally, the method further comprises:

dividing the second object into different grades according to the distance between the imaging positions of the second object and the first object, wherein the second object is the candidate object except the first object;

and blurring or removing the imaging of the corresponding second object in the first image by adopting a blurring degree parameter matched with the grade according to the grade of the second object to generate the second image.

Optionally, the blurring or removing imaging of the corresponding second object in the first image comprises one of:

pixel down-sampling an imaging region of the second object in the first image to generate the second image, wherein an image resolution of the imaging region of the second object in the second image is lower than an image resolution of the imaging region of the first object;

using a aliasing algorithm to scramble pixel values of pixels in an imaging region of a second object in the first image to generate the second image;

replacing the pixel value of the second object imaging area with the pixel value of a background object by using a pixel replacement algorithm to generate a second image, wherein the background object and a collected object except the candidate object;

and generating insertion pixel values and replacing the pixel values of partial pixels of the second object imaging area in the first image by using the insertion pixel values.

Optionally, the determining a first object from the candidate object by combining the imaging area and the distance includes:

calculating the product of the imaging area of each alternative pair object and the area weight to obtain a first reference factor;

calculating the product of the distance between each candidate object and the image collector and the distance weight to obtain a second reference factor;

solving the sum of the first reference factors to obtain a comprehensive reference factor of each candidate object;

sorting the comprehensive reference factors;

determining the first object based on the sorting result.

calculating the product of the imaging area of each candidate and the distance of each candidate device to obtain a third reference factor;

sorting the third reference factors of the alternative objects;

selecting the first object from the candidate objects based on the ranking result.

A second aspect of an embodiment of the present invention provides a mobile terminal, including: an image collector, a memory, a processor, and a computer program stored on the memory and executed by the processor;

the image collector is used for collecting images;

the memory is used for storing information;

the processor is respectively connected with the image collector and the memory, is used for controlling the image collection of the image collector through the execution of the computer program, and executes the following steps:

entering an image preview mode, and collecting a preview image;

extracting the imaging area of the alternative object in the preview image;

focusing and acquiring to form a first image based on the first object.

Optionally, the processor is further configured to perform the following steps:

determining attributes of the first object and/or a background object, wherein the background object is a graphical object in the preview image except for the alternative object;

and selecting a processing mode for blurring or removing the second object according to the attribute.

A fourth aspect of the embodiments of the present invention provides a computer storage medium storing a computer program; after being executed, the computer program can realize the image processing method provided by one or more of the technical solutions.

According to the mobile terminal image processing method, the mobile terminal and the computer storage medium provided by the embodiment of the invention, the first object needing to be focused is comprehensively decided by combining the imaging area of each candidate object in the preview image and the distance between the candidate object and the image collector during focusing. Compared with the mode of automatically deciding the first object to focus based on a single parameter of the imaging area in the prior art, more accurate focusing can be realized, and the self-focusing accuracy and the user satisfaction are improved.

Drawings

Fig. 1 is a schematic diagram of a hardware structure of an alternative mobile terminal implementing the present invention;

FIG. 2 is a communication network system architecture diagram of the mobile terminal shown in FIG. 1;

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

FIG. 4 is a flowchart illustrating a second image processing method according to an embodiment of the present invention;

FIG. 5 is a diagram illustrating a first image according to an embodiment of the present invention;

FIG. 6 is a schematic diagram of a second image after removing a second object from the first image provided in FIG. 5 according to an embodiment of the present invention;

fig. 7 is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention;

fig. 8 is a schematic structural diagram of another mobile terminal according to an embodiment of the present invention.

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, WiFi module 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 1 is not intended to be limiting of mobile terminals, which may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

The following describes each component of the mobile terminal in detail with reference to fig. 1:

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

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

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

The a/V input unit 104 is used to receive audio or video signals. The a/V input Unit 104 may include a Graphics Processing Unit (GPU) 1041 and a microphone 1042, the Graphics processor 1041 Processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphic processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 may receive sounds (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, or the like, and may be capable of processing such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 101 in case of a phone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.

The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. 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, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby performing overall monitoring of the mobile terminal. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor, 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.

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 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 Rules Function) 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 mobile terminal hardware structure and communication system, the present invention provides various embodiments of the method.

As shown in fig. 3, the present embodiment provides an image processing method, including:

step S110: entering an image preview mode, and collecting a preview image;

step S120: extracting the imaging area of the alternative object in the preview image;

step S130: calculating the distance between the alternative object and the image collector based on the acquisition parameters for forming the preview image;

step S140: selecting a first object from the candidate objects by combining the imaging area and the distance;

step S150: focusing and acquiring to form a first image based on the first object.

The image processing method provided by the embodiment can be a method applied to the mobile terminal. The mobile terminal can be a mobile phone, a tablet computer, a wearable device, a special camera and the like which are provided with an image collector such as a camera.

In this embodiment, the mobile terminal first enters a preview mode, which is a preparation mode for image capture, and completes various preparation works of image capture, for example, a camera is turned on, capturing light capture is started, the preview image is generated based on the captured light capture, and when a command for confirming capture is captured, the corresponding preview image is stored in a specific storage area as a final captured image. Typically the particular memory region is a non-cache region.

The general image mode includes: a pre-acquisition mode and a post-acquisition mode. The pre-acquisition mode may be: the acquisition mode that the acquisition face of camera and mobile terminal's display screen are located same side, and the preview image of current capture can synchronous display on the display screen for the user towards the display screen looks over. Typical application scenarios of the pre-acquisition mode include: and (6) taking a self-timer. The user A holds the mobile phone for self-shooting, and the camera and the display screen face the collected user A. Namely, the collected object faces the collecting module and the display screen simultaneously.

In the post-capture mode, the orientation of the camera is different from that of the display screen, and the captured image currently displayed on the display screen cannot be seen as the captured object.

In this embodiment, the imaging area of each candidate pair in the preview image is extracted. In this embodiment, the candidate may be a human face. In step S120, human faces may be recognized based on human face recognition, and then the imaging area of each human face in the preview image is calculated through human face contour parameters and the like. The imaging area can be represented by an area parameter or the number of pixels. In general, the closer an object to be captured is to an image capture device such as a camera, the larger the imaging area of one object to be captured in a preview image. In this embodiment, the candidate object may be a person, other than the face, or other acquired objects. For example, if the status of a racing car is currently being acquired, the candidate may be an image of the racing car in the preview image.

In summary, in step S120 of the present embodiment, the imaging area of the candidate may be identified and extracted by means of contour extraction or the like.

Meanwhile, in the embodiment, based on the acquisition parameters of the preview image, the imaging condition of the candidate object in the preview image can be calculated, and the distance between the candidate object and the image acquisition device can be calculated. The acquisition parameters may include: at least one of the focal length, the distance, the object distance and the like can be simply calculated based on the imaging principle, and the distance between each candidate object and the camera and the like can be conveniently calculated.

It should be noted that the candidate object may be a certain class of object in the preview image, but not all of the acquired objects, which may reduce the processing amount of the imaging area extraction and the distance calculation. For example, a preview image includes: imaging of natural scenes, imaging of people, imaging of human scenes such as buildings and the like; the candidate may be only a human; in some cases, it may also be a human scene. In summary, the candidate object herein is not all of the acquired objects in the preview image.

In some cases, due to the properties of the acquisition object itself, such as height, face area, etc., the imaging of the acquisition object in the preview image is relatively small. For example, when an adult and a child are simultaneously captured, the child may have a smaller imaging area of the child's face than the adult's face, which may interfere with the capturing. It is to solve such a problem in the focusing process due to the self-attribute of the acquisition object. In this embodiment, the distances are referred to at the same time to determine which are the first objects to be focused. In the process of image acquisition, if the acquired object is closer to the camera, the distance and the imaging area are combined in the embodiment, and the first object for focusing is selected from the candidate objects by the two parameters.

In step S150, the first object is focused, and the preview image is captured again to form the first captured image. Focusing on the first object may include: and setting a focusing plane of the image collector based on the distance between the first object and the camera. This ensures that the first object is placed within the focus area, thereby improving the accuracy of auto-focus and thus user satisfaction.

As a further improvement of this embodiment, as shown in fig. 4, the method further includes:

step S160: and blurring or removing a second object except the first object in the candidate objects to generate a second image.

In order to further highlight the first object, the collected objects except the first object are treated as second objects for blurring. In this embodiment, blurring is performed to blur the background, so that the first object is further emphasized by blurring the second object. Therefore, the influence on the image quality caused by the wrong entering of the pedestrian in the image acquisition process can be reduced.

Specifically, the method further comprises:

dividing the second object into different grades according to the distance between the imaging positions of the second object and the first object;

blurring or removing a second object other than the first object in the candidate objects, generating a second image, comprising:

and according to the grade of the second object, blurring the corresponding second object in the first image by adopting a blurring degree parameter matched with the grade to generate the second image.

In this embodiment, in order to avoid the phenomenon that the first object is displayed in focus clearly, and the second object surrounding the first object is blurred excessively, so that the image transition is unnatural. In this embodiment, the second object is classified into second objects of different grades according to the imaging area and distance of the second object.

In some embodiments, the imaging positions of different captured objects in the preview image have different positions, so in this embodiment, the second object is classified into different grades based on the distance between the imaging positions of the second object and the first object in the preview image.

When blurring the second object, blurring is performed to a corresponding degree based on the level. In general, the distance between the second object and the imaging position of the first object is inversely related to the degree of blurring. That is, the closer the imaging is to the imaging of the first object, the lower the blurring degree is, the higher the sharpness is, and the farther the imaging is from the imaging of the first object, the higher the blurring degree is, the lower the sharpness is.

In this embodiment, the second object may be all the first objects except the first object, or may be an alternative object except the first object. That is, in some embodiments, the second object and the first object are the same class of acquisition objects.

For example, if the candidate pair is a human, the second object may be: people other than the person who collects the focus.

There are many ways of how to blur the second object in particular, and several alternatives are provided below:

the first alternative is as follows:

the step S160 may include: and performing pixel down-sampling on an imaging area of the second object in the first image to generate the second image, wherein the imaging area of the second object in the second image has an image resolution lower than that of the imaging area of the first object.

Generally, the image resolution of each position of the same acquired image is the same, and the image resolution is as follows: the number of pixels per unit area. In this embodiment, the image resolution of the imaging area of the second object may be reduced by down-sampling the imaging area of the second object, so as to achieve the sharpness of the second object, and thus achieve the blur processing on the second object interfering with the first object.

The second option is:

the step S160 may include:

and using a confusion algorithm to disturb pixel values of pixels in an imaging area of a second object in the first image, and generating the second image.

The pixel values of the pixels of the imaged area of the second object are scrambled using a aliasing algorithm in this embodiment. For example, an imaging region of the second object, comprising: the pixel A and the pixel B obviously cause various processing such as distortion or blurring and the like to the imaging of the first object by adjusting the pixel values of the pixel A and the pixel B, so that the imaging definition of the target to the target is reduced, and the interference to the imaging of the first object is reduced. In addition to pixel value contrast between pixels, for example, the pixel value of pixel a may be assigned to pixel B, and the original pixel value of pixel B may be assigned to pixel C, in short, through the scrambling of pixel values, the clear imaging of the second object is destroyed, and the blurring of the second object is realized to highlight the imaging of the first object.

The optional mode three:

the step S160 may include:

and replacing the pixel value of the second object imaging area by the pixel value of a background object by using a pixel replacement algorithm to generate the second image, wherein the background object and the acquired object except the candidate object.

The second object is an object that needs to be blurred, and the background object may be an acquisition object that does not interfere with the imaging of the first object. In this embodiment, for example, the pixel value of the background object replaces the pixel value of the imaging area of the second object, so that the first object can be obviously more emphasized, which is equivalent to the expansion of the background object in the first image and the removal of the second object.

In a specific implementation, the background object may be a predetermined type of object, for example, an object of a natural scene such as sky, sea, or grass. For example, the first image is an image with sky as a background, and if passerby enters the first image in the acquisition process, the pixel value of the sky can be used for replacing the pixel value of the passerby imaging area, so that passerby removal processing is achieved.

The optional mode four:

the step S160 may include:

In this mode, some pixel values may be generated randomly or based on the dominant tone of the preview image, pixels of the second object imaging region that need to be replaced are regularly determined based on an interpolation algorithm, and then the corresponding pixel values are replaced with biochemical inserted pixel values, thereby realizing blurring of the second object. In some embodiments, the pixels that need to be replaced with the pixel values may be randomly selected based on a random algorithm.

The dominant hue may be the dominant hue of a background object, etc. For example, if the current background is mainly green, that is, the pixel of the imaging area of the background object with the green color is the largest, green pixel values with different shades are generated for pixel replacement of the imaging area of the second object, and the like.

In summary, there are many ways to virtualize or remove the second object in the present embodiment, and the present invention is not limited to any of the above.

Specifically, which way to virtualize or remove the second object is adopted, the method may further include:

determining attributes of the first object and/or background object;

For example, when the background object is a predefined type of object, e.g., a predefined object such as sky, sea, or grass, the second object may be removed using a pixel replacement algorithm.

For another example, when there are many types of background objects, i.e. there are natural scenes and human scenes, and there are many different types of scenes, the down-sampling mode can be selected, and the second object is blurred through the processing of the image resolution of the second object.

For another example, if the imaging region of the first object is relatively far away from the imaging region of the second object, a pixel replacement algorithm, a aliasing algorithm, or the like may be preferably used to process the imaging region of the second object, thereby generating the second image.

In summary, which way of processing the second object to generate the second image is specifically adopted in the present embodiment may be determined in combination with the attributes of the first object and/or the background object.

In some embodiments, the step S140 may include:

sorting the comprehensive reference factors;

determining the first object based on the sorting result.

In this embodiment, the imaging area is multiplied by an area weight, the distance is multiplied by a distance weight, the sum of the two is calculated as the integrated reference factor, and the first object is selected based on the integrated reference factor.

In other embodiments, the step S140 may include:

sorting the third reference factors of the alternative objects;

In this embodiment, the product operation is directly performed on the imaging area and the distance to obtain the third reference factor, the sorting is directly performed based on the third reference factor, and the first object is obtained based on the sorting result.

In some embodiments, after normalization processing may be performed on the imaging area and the distance of each candidate object for calculation convenience, the comprehensive reference factor or the third reference factor may be calculated based on a normalization result, which simplifies a problem of high calculation complexity caused by involving a large number of floating point operations.

In some embodiments, if the imaging area can be positively correlated with a composite reference factor or a third reference factor and the distance is negatively correlated with the composite reference factor or the third reference factor, one or more candidate objects ranked in the top are selected as the first object if ranked from large to small. For example, 1, 2 or 3 candidate objects are selected as the first object, and the rest are the second objects. And if the objects are sorted from small to large, selecting one or more candidate objects sorted at the back as the first object.

In other embodiments, if the imaging area may be positively correlated with a composite reference factor or a third reference factor, and the distance is negatively correlated with the composite reference factor or the third reference factor, one or more candidate objects ranked in the next order may be selected as the first object if the candidate objects are ranked from large to small. And if the objects are sorted from small to large, selecting one or more candidate objects which are sorted at the top as the first object.

As shown in fig. 7, the present embodiment provides a mobile terminal, including:

a preview unit 310, configured to enter an image preview mode and acquire a preview image;

an extracting unit 320, configured to extract an imaging area of the candidate object in the preview image;

a calculating unit 330, configured to calculate a distance between the candidate object and the image collector based on the acquisition parameters for forming the preview image;

a selecting unit 340, configured to select a first object from the candidate objects by combining the imaging area and the distance;

and an acquisition unit 350 for focusing and acquiring to form a first image based on the first object.

The mobile terminal provided in this embodiment may be any one of the foregoing mobile terminals.

The preview unit 310 and the capture unit 350 may both correspond to an image collector and may be used for image preview and generation of a final image.

In this embodiment, the extracting unit 320, the calculating unit 330 and the selecting unit 340 may all correspond to a processor. The processor can be a central processing unit, a microprocessor, a digital signal processor, a programmable array or an application processor or an application specific integrated circuit, and the operations of the functional units such as extraction, calculation and selection can be realized through computer executable codes such as computer programs, so that the accurate focusing of image acquisition is realized.

Optionally, the mobile terminal further includes:

a dividing unit, configured to divide a second object into different levels according to a distance between the second object and an imaging position of the first object, where the second object is the candidate object other than the first object;

and the blurring unit is used for blurring or removing the imaging of the corresponding second object in the first image by adopting a blurring degree parameter matched with the grade according to the grade of the second object to generate the second image.

In this embodiment, the dividing unit and the blurring unit may also correspond to a processor or a processing circuit, and by dividing the second object level, the low blurring degree close to the first object and the low blurring degree far from the first object may be achieved, so as to ensure a natural transition of the image, and improve the image quality of the image again.

Further, the blurring unit is specifically configured to perform one of: pixel down-sampling an imaging region of the second object in the first image to generate the second image, wherein an image resolution of the imaging region of the second object in the second image is lower than an image resolution of the imaging region of the first object; using a aliasing algorithm to scramble pixel values of pixels in an imaging region of a second object in the first image to generate the second image; replacing the pixel value of the second object imaging area with the pixel value of a background object by using a pixel replacement algorithm to generate a second image, wherein the background object and a collected object except the candidate object; and generating insertion pixel values and replacing the pixel values of partial pixels of the second object imaging area in the first image by using the insertion pixel values.

In short, in the present embodiment, there are many ways for the mobile terminal to perform the blurring or removing of the second object, and the mobile terminal is not limited to any one of the above.

In some embodiments, the selecting unit 340 is specifically configured to calculate a product of an imaging area of each candidate pair object and an area weight to obtain a first reference factor; calculating the product of the distance between each candidate object and the image collector and the distance weight to obtain a second reference factor; solving the sum of the first reference factors to obtain a comprehensive reference factor of each candidate object; sorting the comprehensive reference factors; determining the first object based on the sorting result.

In other embodiments, the selecting unit 340 may further be specifically configured to calculate a product of an imaging area of each candidate and a distance of each candidate device, so as to obtain a third reference factor; sorting the third reference factors of the alternative objects; selecting the first object from the candidate objects based on the ranking result.

As shown in fig. 8, the present embodiment further provides a mobile terminal, including: an image collector 410, a memory 420, a processor 430, and a computer program stored on the memory 420 for execution by the processor 430;

the image collector 410 is used for collecting images;

the memory 420 is used for storing information;

the processor 430 is connected to the image collector 410 and the memory 420, respectively, and is configured to control image collection of the image collector 410 through execution of the computer program, and execute one or more image processing methods provided in the foregoing technical solutions, for example, at least one of the image processing methods shown in fig. 3 and fig. 4.

The image collector 410 may include a camera or a camera, which may collect images, and may collect preview images and finally generate a first image and a second image.

The memory 420 may include various types of storage media capable of storing information. The memory 420 comprises at least a portion of a non-transitory storage medium operable to store a computer program.

The processor may be a central processing unit, a microprocessor, a digital signal processor, an application processor, a programmable array or an application specific integrated circuit, etc., and may implement the precise focusing and the blurring or removing process of the second object to highlight the first object by the execution of the computer program.

For example, the processor 430 may perform at least the following steps by execution of the computer program:

entering an image preview mode, and collecting a preview image;

extracting the imaging area of the alternative object in the preview image;

focusing and acquiring to form a first image based on the first object.

In some embodiments, the processor 430 is further configured to perform the following steps: dividing the second object into different grades according to the distance between the imaging positions of the second object and the first object, wherein the second object is the candidate object except the first object; and blurring or removing the imaging of the corresponding second object in the first image by adopting a blurring degree parameter matched with the grade according to the grade of the second object to generate the second image.

In other embodiments, the processor 430 is further configured to perform the following steps: determining attributes of the first object and/or a background object, wherein the background object is a graphical object in the preview image except for the alternative object; and selecting a processing mode for blurring or removing the second object according to the attribute.

The embodiment of the invention also provides a computer storage medium, wherein the computer storage medium stores a computer program; after being executed, the computer program can implement an image processing method provided by one or more of the foregoing technical solutions, for example, at least one of the image processing methods shown in fig. 3 and 4.

The aforementioned storage medium may include: various media capable of storing program codes, such as a removable storage device, a Read Only Memory (ROM), a magnetic disk, or an optical disk; optionally a non-transitory storage medium.

It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention. 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.

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

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.

Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.

The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims

1. An image processing method, comprising:

entering an image preview mode, and collecting a preview image;

extracting the imaging area of the alternative object in the preview image;

determining the first object from the candidate object by combining the imaging area and the distance, including:

calculating the product of the imaging area and the area weight of each candidate object to obtain a first reference factor, calculating the product of the distance between each candidate object and the image collector and the distance weight, obtaining a second reference factor, solving the sum of the first reference factor and the second reference factor to obtain a comprehensive reference factor of each candidate object, sorting the comprehensive reference factors according to the size of the comprehensive reference factor, and selecting one or more candidate objects which are sorted in front as the first object, wherein the imaging area is positively correlated with the comprehensive reference factor, and the distance is negatively correlated with the comprehensive reference factor;

alternatively, the first and second electrodes may be,

calculating the product of the imaging area of each candidate object and the distance of each candidate object device to obtain a third reference factor, sorting the third reference factor of each candidate object according to the size of the third reference factor, and selecting one or more candidate objects which are sorted in the front as the first object, wherein the imaging area is positively correlated with the third reference factor, and the distance is negatively correlated with the third reference factor;

focusing and acquiring to form a first image based on the first object.

2. The method of claim 1,

the method further comprises the following steps:

and blurring or removing the imaging of the corresponding second object in the first image by adopting a blurring degree parameter matched with the grade according to the grade of the second object to generate a second image.

3. The method of claim 2,

the blurring or removing imaging of the corresponding second object in the first image comprises one of:

scrambling pixel values of pixels in an imaging region of the second object in the first image by using a aliasing algorithm to generate a second image;

replacing the pixel value of the second object imaging area with the pixel value of a background object by using a pixel replacement algorithm to generate a second image, wherein the background object is an acquired object except the candidate object;

4. The method of claim 2,

the method further comprises the following steps:

5. A mobile terminal, comprising: an image collector, a memory, a processor, and a computer program stored on the memory and executed by the processor;

the image collector is used for collecting images;

the memory is used for storing information;

the processor is respectively connected with the image collector and the memory, is used for executing and controlling the image collection of the image collector through the computer program, and executes the following steps:

entering an image preview mode, and collecting a preview image;

extracting the imaging area of the alternative object in the preview image;

calculating the distance between the candidate object and the image collector based on the acquisition parameters for forming the preview image;

alternatively, the first and second electrodes may be,

focusing and acquiring to form a first image based on the first object.

6. The mobile terminal of claim 5,

the processor is further configured to perform the steps of:

7. The mobile terminal of claim 6,

the processor is further configured to perform the steps of:

8. A computer storage medium storing a computer program; the computer program, when executed, is capable of implementing the image processing method as provided in any one of claims 1 to 4.