CN112995467A

CN112995467A - Image processing method, mobile terminal and storage medium

Info

Publication number: CN112995467A
Application number: CN202110166465.4A
Authority: CN
Inventors: 彭叶斌; 赵紫辉; 代文慧
Original assignee: Shenzhen Microphone Holdings Co Ltd
Current assignee: Shenzhen Microphone Holdings Co Ltd; Shenzhen Transsion Holdings Co Ltd
Priority date: 2021-02-05
Filing date: 2021-02-05
Publication date: 2021-06-18
Also published as: WO2022166765A1

Abstract

The embodiment of the application discloses an image processing method, a mobile terminal and a storage medium, wherein the method is applied to shooting equipment, the shooting equipment comprises a first camera and a second camera, the field angle of the first camera is smaller than that of the second camera, and the method comprises the following steps: controlling the first camera and the second camera to shoot a target environment simultaneously, and acquiring a first image shot by the first camera and a second image shot by the second camera; and carrying out image fusion processing on the first image and the second image to obtain a target image. According to the embodiment of the application, the two cameras can be controlled to shoot simultaneously, so that high-quality and high-definition shot images can be obtained through fusion processing, and the impression of a user when the user browses the images is improved.

Description

Image processing method, mobile terminal and storage medium

Technical Field

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

Background

With the development of photographing devices and image processing technologies becoming faster and faster, people have higher and higher requirements for the photographing effect of images photographed by photographing devices. At present, shooting equipment generally shoots images through a camera, but the shot images are often low in definition and have the phenomenon of image blurring, so that the user experience is poor; and because the image definition directly causes the loss of a lot of information, unnecessary loss can be caused in some important occasions. Therefore, how to improve the definition of the captured image is a problem to be solved.

The foregoing description is provided for general background information and is not admitted to be prior art.

Disclosure of Invention

In view of the above technical problems, the present application provides an image processing method, a mobile terminal, and a storage medium, which enable a user to obtain a high-definition captured image and improve the user's impression when browsing images.

In order to solve the above technical problem, in a first aspect, the present application provides an image processing method applied to a shooting device, where the shooting device includes a first camera and a second camera, and a field angle of the first camera is smaller than a field angle of the second camera, and the method includes:

controlling the first camera and the second camera to shoot a target environment simultaneously, and acquiring a first image shot by the first camera and a second image shot by the second camera;

and carrying out image fusion processing on the first image and the second image to obtain a target image.

Optionally, the image fusion processing of the first image and the second image to obtain the target image includes:

carrying out image enhancement processing on an image area matched with the first image in the second image according to the first image to obtain an enhanced second image;

and generating a target image according to the enhanced second image.

Optionally, the generating a target image according to the enhanced second image includes:

blocking the enhanced second image to obtain at least one blocked image;

and carrying out fusion processing on the colorimetric values and/or the brightness values of the block images to obtain the target image.

Optionally, before the image enhancement processing is performed on the image area, which is matched with the first image, in the second image according to the first image, and a processed second image is obtained, the method further includes:

and carrying out image registration processing on the first image and the second image, and determining an image area matched with the first image in the second image.

Optionally, the performing image registration processing on the first image and the second image to determine an image region in the second image matching the first image includes:

extracting characteristic points of the first image to obtain a first characteristic point set, and extracting characteristic points of the second image to obtain a second characteristic point set;

determining a target characteristic point set matched with the first characteristic point set from the second characteristic point set according to a preset algorithm;

and determining an image area corresponding to the target feature point set in the second image as an image area matched with the first image in the second image.

Optionally, the performing, according to the first image, image enhancement processing on an image region, which is matched with the first image, in the second image to obtain a processed second image includes:

and carrying out color enhancement processing and/or texture enhancement processing on an image area matched with the first image in the second image according to the first image to obtain a processed second image.

Optionally, the method further comprises:

acquiring an image processing rule;

and processing the target image according to the image processing rule to obtain a processed target image.

splicing the first image by using the image area of the second image except the image area matched with the first image to obtain a spliced first image;

and generating a target image according to the first image after the splicing treatment.

Optionally, the generating a target image according to the first image after the stitching processing includes:

blocking the first image after the splicing processing to obtain at least one blocked image;

Optionally, the performing, by using an image area of the second image except for the image area matched with the first image, the stitching processing on the first image to obtain a stitched first image includes:

performing first preset processing on each image area except the image area matched with the first image in the second image to obtain a preset processed image area;

and splicing the first image by using the preset image area to obtain a spliced first image.

performing second preset processing on the first image;

and carrying out splicing processing on the preset processed first image by utilizing the image area except the image area matched with the first image in the second image to obtain the spliced first image.

In a second aspect, the present application provides another image processing method applied to a shooting device, where the shooting device includes a first camera and a second camera, and the method includes:

controlling the first camera and the second camera to shoot a target environment, and acquiring a first image shot by the first camera and a second image shot by the second camera;

determining an image area in the second image that matches the first image;

and carrying out image enhancement processing according to the image area matched with the first image in the second image to obtain a target image.

Optionally, the field angle of the first camera is smaller than the field angle of the second camera.

Optionally, the controlling the first camera and the second camera to shoot the target environment includes at least one of:

controlling the first camera and the second camera to shoot a target environment simultaneously;

controlling the first camera to shoot a target environment first, and controlling the second camera to shoot the target environment later;

and controlling the second camera to shoot the target environment firstly, and controlling the first camera to shoot the target environment later.

Optionally, the performing, according to an image region in the second image, image enhancement processing on the first image to obtain a target image, includes: and performing image enhancement processing on the first image according to an image area matched with the first image in the second image to obtain an enhanced first image, and generating a target image according to the enhanced first image.

Optionally, the performing, according to an image region in the second image, image enhancement processing on the first image to obtain a target image, includes: and performing image enhancement processing on the second image according to the image area matched with the first image in the second image to obtain an enhanced second image, and generating a target image according to the enhanced second image.

Optionally, the performing, according to an image region in the second image, image enhancement processing on the first image to obtain a target image, includes: and performing image enhancement processing on the first image and the second image according to an image area matched with the first image in the second image to obtain an enhanced first image and an enhanced second image, and generating a target image according to the enhanced first image and the enhanced second image.

Optionally, the determining an image region in the second image that matches the first image includes:

and carrying out image registration processing on the first image and the second image to obtain an image area matched with the first image in the second image.

Optionally, the performing image registration processing on the first image and the second image to obtain an image region in the second image, where the image region is matched with the first image, includes:

Optionally, the image enhancement processing on the first image according to the image area matched with the first image in the second image includes at least one of:

taking the first image as a reference image, and performing color enhancement processing and/or texture enhancement processing on the first image according to an image area matched with the first image in the second image;

taking the second image as a reference image, and performing color enhancement processing and/or texture enhancement processing on the second image according to an image area matched with the first image in the second image;

taking the first image as a reference image, and performing color enhancement processing and/or texture enhancement processing on the first image and the second image according to an image area matched with the first image in the second image;

and performing color enhancement processing and/or texture enhancement processing on the first image and the second image according to an image area matched with the first image in the second image by taking the second image as a reference image.

In a third aspect, the present application provides an image processing apparatus applied to a shooting device, where the shooting device includes a first camera and a second camera, a field angle size of the first camera is smaller than a field angle size of the second camera, and the apparatus includes;

the acquisition unit is used for controlling the first camera and the second camera to shoot a target environment simultaneously, and acquiring a first image shot by the first camera and a second image shot by the second camera;

and the processing unit is used for carrying out image fusion processing on the first image and the second image to obtain a target image.

In a fourth aspect, the present application provides a mobile terminal comprising a processor and a memory, wherein the memory is used for storing a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the method according to the first aspect or the second aspect.

In a fifth aspect, the present application provides a computer-readable storage medium, comprising: the computer readable storage medium has stored thereon one or more instructions adapted to be loaded by a processor and to perform the method according to the first or second aspect.

As described above, the image processing method, the image processing apparatus, the mobile terminal, and the storage medium of the present application are applied to a shooting device, where the shooting device includes a first camera and a second camera, and a field angle of the first camera is smaller than a field angle of the second camera. Controlling the first camera and the second camera to shoot a target environment simultaneously, and acquiring a first image shot by the first camera and a second image shot by the second camera; and carrying out image fusion processing on the first image and the second image to obtain a target image. According to the embodiment of the application, the two cameras can be controlled to shoot simultaneously, so that high-quality and high-definition shot images can be obtained through fusion processing, and the impression of a user when the user browses the images is improved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.

Fig. 1 is a schematic hardware structure diagram of a mobile terminal implementing various embodiments of the present application according to an embodiment of the present application;

fig. 2 is a communication network system architecture diagram provided in an embodiment of the present application;

fig. 3 is a schematic flowchart of a first image processing method provided in an embodiment of the present application;

fig. 4a is a schematic diagram that the field angles of a first camera and a second camera provided in the embodiment of the present application are partially overlapped;

fig. 4b is a schematic diagram of a first camera provided in the embodiment of the present application, where the field angle of the first camera is completely within the field angle range of the second camera;

fig. 5 is a schematic flowchart of a second image processing method provided in the embodiment of the present application;

FIG. 6a is a schematic diagram of a first image provided by an embodiment of the present application;

FIG. 6b is a schematic diagram of a second image provided by an embodiment of the present application;

fig. 7 is a schematic flowchart of a third image processing method provided in the embodiment of the present application;

FIG. 8 is a schematic diagram of generating a target image according to a first image after stitching processing according to an embodiment of the present application;

fig. 9 is a schematic flowchart of a fourth image processing method provided in the embodiment of the present application;

FIG. 10 is a schematic diagram of a first image after enhancement processing according to an embodiment of the present application;

fig. 11 is a schematic structural diagram of an image processing apparatus according to an embodiment of the present application;

fig. 12 is a schematic structural diagram of another mobile terminal according to an embodiment of the present application.

The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings. With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the recitation of an element by the phrase "comprising an … …" does not exclude the presence of additional like elements in the process, method, article, or apparatus that comprises the element, and further, where similarly-named elements, features, or elements in different embodiments of the disclosure may have the same meaning, or may have different meanings, that particular meaning should be determined by their interpretation in the embodiment or further by context with the embodiment.

It should be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope herein. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context. Also, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used in this specification, specify the presence of stated features, steps, operations, elements, components, items, species, and/or groups, but do not preclude the presence, or addition of one or more other features, steps, operations, elements, components, species, and/or groups thereof. The terms "or," "and/or," "including at least one of the following," and the like, as used herein, are to be construed as inclusive or mean any one or any combination. For example, "includes at least one of: A. b, C "means" any of the following: a; b; c; a and B; a and C; b and C; a and B and C ", again for example," A, B or C "or" A, B and/or C "means" any of the following: a; b; c; a and B; a and C; b and C; a and B and C'. An exception to this definition will occur only when a combination of elements, functions, steps or operations are inherently mutually exclusive in some way.

It should be understood that, although the steps in the flowcharts in the embodiments of the present application are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least some of the steps in the figures may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, in different orders, and may be performed alternately or at least partially with respect to other steps or sub-steps of other steps.

The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.

It should be noted that step numbers such as S301 and S302 are used herein for the purpose of more clearly and briefly describing the corresponding contents, and do not constitute a substantial limitation on the sequence, and those skilled in the art may perform S302 first and then S301 in specific implementation, but these should be within the scope of the present application.

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

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

The photographing apparatus may be implemented in various forms. For example, the photographing apparatus described in the present application may include a mobile terminal having a camera, 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 stationary terminal having a camera, such as a Digital TV, a desktop computer, and the like.

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

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

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

the radio frequency unit 101 may be configured to receive and transmit signals during information transmission and reception or during a call, and specifically, receive downlink information of a base station and then process the downlink information to the processor 110; in addition, the uplink data is transmitted to the base station. Typically, radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 can also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division duplex Long Term Evolution), 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. Optionally, the light sensor includes an ambient light sensor that may adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that may turn off the display panel 1061 and/or the backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Based on the above mobile terminal hardware structure and communication network system, various embodiments of the present application are provided.

Referring to fig. 3, fig. 3 is a flowchart of a first image processing method according to an embodiment of the present disclosure. The method of the embodiment of the application can be executed by a shooting device, wherein the shooting device comprises a first camera and a second camera, and the field angle of the first camera is smaller than that of the second camera; optionally, the method may be executed by a server, and the method may specifically include the following steps:

s301, controlling the first camera and the second camera to shoot a target environment simultaneously, and acquiring a first image shot by the first camera and a second image shot by the second camera.

In the embodiment of the present application, the target environment refers to an area to be photographed by the first camera and the second camera. The first camera and the second camera are located on the same side of the shooting device, the field angles of the first camera and the second camera partially overlap (as shown in fig. 4 a), and optionally, the field angle of the first camera may be completely within the field angle range of the second camera (as shown in fig. 4 b). It can be understood that the shooting range of the picture is reflected by the angle of view in the present application, and the larger the focal length is, the smaller the angle of view is, the smaller the picture range formed on the photosensitive element is; conversely, the smaller the focal length, the larger the angle of view, and the larger the range of the screen formed on the photosensitive element. For a camera, by changing the focal length of the lens, the magnification of the lens can be changed, and the size of a shot image can be changed. When the distance between the object and the lens is very long, the magnification factor of the lens is approximately equal to the focal length/object distance. The focal length of the lens is increased, the magnification is increased, the long shot can be zoomed in, the range of the picture is small, and the details of the long shot are seen more clearly; if the focal length of the lens is reduced, the magnification is reduced, the range of the picture is enlarged, and a larger scene can be seen. That is, the first camera in the present application may be a standard camera and the second camera may be a wide-angle camera. According to the method and the device, when a user starts a shooting mode, the first camera and the second camera are simultaneously opened, if shooting equipment receives a shooting instruction of the user, the first camera and the second camera are controlled to shoot a target environment simultaneously, and then a first image shot by the first camera and a second image shot by the second camera are obtained.

In an optional implementation manner, a shooting view area of the first camera and a shooting view area of the second camera have an overlapping portion, and the first camera and the second camera are controlled to shoot a target environment at the same time to obtain a first image shot by the first camera and a second image shot by the second camera; and carrying out image fusion processing on the first image and the second image to obtain a target image.

In the embodiment of the application, when a user starts a shooting mode, the first camera and the second camera are simultaneously opened, if shooting equipment receives a shooting instruction of the user, the first camera and the second camera are controlled to simultaneously shoot a target environment, and then a first image shot by the first camera and a second image shot by the second camera are obtained. That is to say, two images with overlapped regions are obtained by simultaneously shooting two cameras with overlapped parts in the shooting visual regions, so that the two images can be fused, the image display of the overlapped parts is enhanced, the shooting visual region of any one image is enlarged, the environment regions in the shooting visual regions of the two cameras are fused into one image, and the impression of a user when the user browses the images is improved.

S302, carrying out image fusion processing on the first image and the second image to obtain a target image.

In the embodiment of the application, the first image and the second image which are simultaneously acquired by two cameras with different field angles are fused to obtain the target image. In an optional embodiment, the method may further comprise: acquiring an image processing rule; and processing the target image according to the image processing rule to obtain a processed target image. After the target image is obtained, the image processing rule in the shooting device is obtained, and the target image is processed, for example, algorithm superposition, compression, rotation, encoding and the like can be performed, and the algorithm superposition can be an algorithm for a human face (beautifying, face thinning, large eyes, skin polishing and the like) and can also be an algorithm for a scene (warm sun in winter, cool summer and the like). And finally, obtaining a final processed target image after all processing.

In the embodiment of the application, the image processing method is applied to the shooting device, the shooting device comprises a first camera and a second camera, and the field angle size of the first camera is smaller than that of the second camera. Controlling the first camera and the second camera to shoot a target environment simultaneously, and acquiring a first image shot by the first camera and a second image shot by the second camera; and carrying out image fusion processing on the first image and the second image to obtain a target image. According to the embodiment of the application, the two cameras can be controlled to shoot simultaneously, so that high-quality and high-definition shot images can be obtained through fusion processing, and the impression of a user when the user browses the images is improved.

Referring to fig. 5, fig. 5 is a flowchart of a second image processing method according to an embodiment of the present application. The method of the embodiment of the application can be executed by a shooting device, wherein the shooting device comprises a first camera and a second camera, and the field angle of the first camera is smaller than that of the second camera; optionally, the method may be executed by a server, and the method may specifically include the following steps:

s501, controlling the first camera and the second camera to shoot a target environment simultaneously, and acquiring a first image shot by the first camera and a second image shot by the second camera.

It should be noted that step S501 in the embodiment of the present invention may specifically refer to step S301 in the above embodiment, and details of the embodiment of the present invention are not repeated.

S502, carrying out image registration processing on the first image and the second image, and determining an image area matched with the first image in the second image.

In the embodiment of the present application, the second image is used as a reference image (as shown in fig. 6 b), and image registration processing is performed to determine an image area in the second image that matches the first image (as shown in fig. 6 a). It is understood that image registration is a process of matching, superimposing two or more images acquired at different times, different sensors (imaging devices), or under different conditions (weather, illuminance, camera position and angle, etc.). In the application, the positions of the first camera and the second camera are not overlapped, so that certain position difference exists. In an alternative embodiment, the performing image registration processing on the first image and the second image to determine an image region in the second image matching the first image may include: extracting characteristic points of the first image to obtain a first characteristic point set, and extracting characteristic points of the second image to obtain a second characteristic point set; determining a target characteristic point set matched with the first characteristic point set from the second characteristic point set according to a preset algorithm; and determining an image area corresponding to the target feature point set in the second image as an image area matched with the first image in the second image. The first image and the second image can be registered through stereo registration or characteristic point registration, when the characteristic points are registered, the characteristic points of a group of images can be identified through an image identification algorithm, characteristic vector sets containing characteristic vectors corresponding to specific points of the two images are respectively obtained, the error matching points are deleted after the characteristic points in the two characteristic vector sets are matched, and a result after matching and correction is obtained. Specifically, a Scale-invariant feature transform (SIFT) algorithm is used for identifying feature points of a first image and a second image, feature vector sets of the two images are respectively generated, the two feature vector sets are matched by using a Best-node-limited algorithm (Best-bin-first algorithm, BBF algorithm), and then a random SAC algorithm is used for eliminating mismatching points to perform matching correction. Further, by means of the exact matching, an image region in the second image matching the first image is determined (as shown in fig. 6b, the image region in the solid frame is the image region in the second image matching the first image).

S503, carrying out image enhancement processing on the image area matched with the first image in the second image according to the first image to obtain the enhanced second image.

In the embodiment of the application, the first image shot by the first camera is used for carrying out image enhancement processing on the image matched with the first image in the second image, so that the image matched with the first image in the second image is displayed and enhanced, and the image of the edge part in the first image is clearer. Optionally, the image areas in the first image and the second image that match the first image may be subjected to blocking processing to obtain a plurality of first block images after the first image blocking processing and a plurality of second block images of the image areas in the second image that match the first image; and carrying out gray level transformation on each pixel value of each first block image and each second block image to obtain a first target pixel value of the plurality of first block images and a second target pixel value of the plurality of second block images, carrying out image enhancement on an image matched with the first image in the second image according to the first target pixel value and the second target pixel value, and further obtaining the enhanced second image, so that a user can obtain a high-definition and high-quality image, and the impression of the user for browsing the image is improved.

In an optional implementation manner, the performing, according to the first image, image enhancement processing on an image region, which is matched with the first image, in the second image to obtain an enhanced second image includes: and carrying out color enhancement processing and/or texture enhancement processing on an image area matched with the first image in the second image according to the first image to obtain a processed second image. In this embodiment of the present application, gray level transformation may be performed on each pixel value of an image area, which is matched with the first image, in the first image and the second image to obtain a target pixel value of the first image and a target pixel value of an image area, which is matched with the first image, in the second image; and performing color enhancement and/or texture enhancement on the image area matched with the first image in the second image according to each target pixel value of the first image and each target pixel value of the image area matched with the first image in the second image to obtain the enhanced second image, so that the display of part of images in the second image is enhanced, the definition of the second image is further improved, and the use experience of a user is improved.

And S504, generating a target image according to the enhanced second image.

In this embodiment of the application, after obtaining the enhanced second image, generating a target image according to the enhanced second image, in an optional implementation, the generating a target image according to the enhanced second image may include: blocking the enhanced second image to obtain at least one blocked image; and carrying out fusion processing on the colorimetric values and/or the brightness values of the block images to obtain the target image. In the application, the image enhancement is obtained by the image area matched with the first image in the second image, in order to enable the whole second image to be more harmonious, the image area of the image enhancement part is more naturally connected with other image areas in the second image, and then the corresponding adjustment is carried out on the edge of the image enhancement part, the edge connected with the second image and the image area except the image enhancement part. Specifically, the enhanced second image may be partitioned, and the chrominance values and/or luminance values of the partitioned images are fused, so that the whole image is more harmonious and gives a better impression to the user.

In an optional embodiment, the method may further comprise: acquiring an image processing rule; and processing the target image according to the image processing rule to obtain a processed target image. After the target image is obtained, the image processing rule in the shooting device is obtained, and the target image is processed, for example, algorithm superposition, compression, rotation, encoding and the like can be performed, and the algorithm superposition can be an algorithm for a human face or a scene change. And finally, obtaining a final processed target image after all processing.

In the embodiment of the application, a first camera and a second camera are controlled to shoot a target environment simultaneously, and a first image shot by the first camera and a second image shot by the second camera are obtained; carrying out image registration processing on the first image and the second image, and determining an image area matched with the first image in the second image; carrying out image enhancement processing on an image area matched with the first image in the second image according to the first image to obtain an enhanced second image; and generating a target image according to the enhanced second image. The embodiment of the application can conveniently enhance the partial images in the second image, greatly reduces the difficulty of photographing, more conveniently photographs high-quality and high-definition images, improves the photographing efficiency of a user, and improves the use sampling of the user.

Referring to fig. 7, fig. 7 is a flowchart of a third image processing method according to an embodiment of the present application. The method of the embodiment of the application can be executed by a shooting device, wherein the shooting device comprises a first camera and a second camera, and the field angle of the first camera is smaller than that of the second camera; optionally, the method may be executed by a server, and the method may specifically include the following steps:

s701, controlling the first camera and the second camera to shoot a target environment simultaneously, and acquiring a first image shot by the first camera and a second image shot by the second camera.

S702, carrying out image registration processing on the first image and the second image, and determining an image area matched with the first image in the second image.

It should be noted that steps S701 to S702 in the embodiment of the present invention may specifically refer to steps S501 to S502 in the above embodiment, and the embodiment of the present invention is not described again.

And S703, carrying out splicing processing on the first image by using the image areas except the image area matched with the first image in the second image to obtain a spliced first image.

In the embodiment of the application, the first image is spliced by using the image area except the image area matched with the first image in the second image, so that the spliced first image is obtained. In an optional implementation manner, the performing a stitching process on the first image by using an image area of the second image except for the image area matched with the first image to obtain a stitched first image may include: performing first preset processing on each image area except the image area matched with the first image in the second image to obtain a preset processed image area; and splicing the first image by using the preset image area to obtain a spliced first image. The first preset processing may be an enlarging processing and/or a reducing processing, and the multiple of the enlarging or reducing processing may be determined according to the focal lengths of the first camera and the second camera. It can be understood that, since the magnification of the lens is approximately equal to the focal length divided by the object distance, it is known that the first camera and the second camera are on the same shooting device and shoot simultaneously, the object distance is the same, and then the relationship between the magnification of the first image and the magnification of the second image is the relationship between the focal lengths, so that for better splicing of two images with the same size, each image area except for the image area matched with the first image in the second image can be subjected to the first preset processing to obtain the magnification or reduction factor of the image which is the same as the magnification factor of the image in the first image, so that the splicing of the images can be better performed, the image display area of the first image can be enlarged, and the efficiency of shooting a larger shooting area image by a user can be improved.

In an optional implementation manner, the performing a stitching process on the first image by using an image area of the second image except for the image area matched with the first image to obtain a stitched first image may include: performing second preset processing on the first image; and carrying out splicing processing on the preset processed first image by utilizing the image area except the image area matched with the first image in the second image to obtain the spliced first image. In this embodiment of the application, the second preset processing may be an enlarging processing and/or a reducing processing, and in order to better splice two images with the same size, the first image may be enlarged or reduced according to a relation between focal lengths of the first camera and the second camera, so that the size of the first image is consistent with the size of an image area, which is matched with the first image, in the second image, thereby facilitating splicing of the images and improving shooting efficiency.

And S704, generating a target image according to the first image after the splicing processing.

In the embodiment of the application, the first image is spliced by using the image area except the image area matched with the first image in the second image, so that the spliced first image is obtained. In an optional implementation, the generating a target image according to the first image after the stitching process includes: blocking the first image after the splicing processing to obtain at least one blocked image; and carrying out fusion processing on the colorimetric values and/or the brightness values of the block images to obtain the target image. In order to enable the first image after the splicing processing to be more harmonious, image areas except the image matched with the first image in the first image and the second image are connected more naturally, and then corresponding adjustment is carried out on the edge of the first image, the edge connected with the first image in the second image and each image area except the image area matched with the first image in the second image. Specifically, the first image after the stitching process may be segmented, and the chrominance values and/or luminance values of the respective segmented images are subjected to the fusion process, so that the whole image is more harmonious, and gives a better impression to the user. In an alternative mode, when the stitching process is performed, the edge similarity measurement is performed, so that the first image can be well stitched with an image area of the second image except for the image area matched with the first image. As shown in fig. 8, the color difference measurement and the texture difference measurement can be performed on the edge portion of the first image, the edge portion of the second image adjacent to the first image, and the color and the texture can be adjusted accordingly, so that the stitching is more natural, the color and the texture are transitional, and the appearance of the user when browsing the images is improved.

In an optional embodiment, the field angles of the first camera and the second camera are the same, the shooting visual area of the first camera is partially overlapped with the shooting visual area of the second camera, the first camera and the second camera are controlled to shoot the target environment at the same time, a first image shot by the first camera and a second image shot by the second camera are obtained, the first image and the second image are subjected to image registration processing, an image area in the second image, which is matched with the first image, is determined, and the first image is subjected to stitching processing by using an image area in the second image, which is not the image area matched with the first image, so as to obtain a stitched first image. According to the method, the first camera can be a standard camera, the second camera can be a black-and-white camera, and by means of the method, the color image of the standard camera is fused by using black-and-white camera data, so that the color expression of the first image under dark light can be improved, the quality and the definition of the first image are improved, and the use experience of a user is improved.

In the embodiment of the application, a first camera and a second camera are controlled to shoot a target environment at the same time, a first image shot by the first camera and a second image shot by the second camera are obtained, image registration processing is carried out on the first image and the second image, and an image area matched with the first image in the second image is determined; splicing the first image by using an image area except for the image area matched with the first image in the second image to obtain a spliced first image; and generating a target image according to the first image after the splicing processing. According to the embodiment of the application, the field angle range of the first image can be expanded, and the appearance of a user when the user browses the images is improved.

Referring to fig. 9, fig. 9 is a flowchart of a fourth image processing method according to an embodiment of the present application. The method of the embodiment of the present application may be executed by a shooting device, where the shooting device includes a first camera and a second camera, and optionally, the method may also be executed by a server, and the method may specifically include the following steps:

s901, controlling the first camera and the second camera to shoot a target environment, and acquiring a first image shot by the first camera and a second image shot by the second camera.

In the embodiment of the application, when a user starts a shooting mode, the first camera and the second camera are opened, if shooting equipment receives a shooting instruction of the user, the first camera and the second camera are controlled to shoot a target environment, and then a first image shot by the first camera and a second image shot by the second camera are obtained, wherein the field angles of the first camera and the second camera can be the same or different. Optionally, the field angle size of the first camera is smaller than the field angle size of the second camera. Alternatively, the field of view of the first and second cameras partially coincide or one field of view is within the other field of view, as shown in fig. 4a, the field of view of the first and second cameras partially coincide, or as shown in fig. 4b, the field of view of the first camera may be entirely within the field of view of the second camera.

In an optional embodiment, the controlling the first camera and the second camera to shoot the target environment includes at least one of: controlling the first camera and the second camera to shoot a target environment simultaneously; controlling the first camera to shoot a target environment first, and controlling the second camera to shoot the target environment later; and controlling the second camera to shoot the target environment firstly, and controlling the first camera to shoot the target environment later. In the embodiment of the application, the position of the shooting device is not changed, the relative positions of the first camera and the second camera are determined, and when the shooting device receives a shooting instruction, the shooting sequence of the first camera and the second camera to the target environment is not fixed, and the shooting sequence can be determined according to user-defined setting or according to the power consumption/image processing efficiency of the shooting device. For example, the first camera and the second camera perform shooting simultaneously, so that electricity is saved, and the shooting priority of the first camera and the shooting priority of the second camera are the highest; for example, if the efficiency of processing can be improved most by simultaneously shooting with the first camera and the second camera, the priority of shooting with the first camera and the second camera is highest. In addition, the control of the first camera and the second camera to shoot the target environment can be set according to a system, for example, the first camera and the second camera are controlled to shoot the target environment at the same time, or the first camera is controlled to shoot the target environment first, and the second camera is controlled to shoot the target environment later; or controlling the second camera to shoot the target environment first, and controlling the first camera to shoot the target environment later.

And S902, determining an image area matched with the first image in the second image.

In an alternative embodiment, the first image and the second image are subjected to image registration processing, so that an image area in the second image, which is matched with the first image, is obtained.

In the embodiment of the application, the first image is taken as a reference image, image registration processing is carried out, and an image area matched with the first image in the second image is determined. In an alternative embodiment, the performing image registration processing on the first image and the second image to obtain an image region in the second image matching the first image may include: extracting characteristic points of the first image to obtain a first characteristic point set, and extracting characteristic points of the second image to obtain a second characteristic point set; determining a target characteristic point set matched with the first characteristic point set from the second characteristic point set according to a preset algorithm; and determining an image area corresponding to the target feature point set in the second image as an image area matched with the first image in the second image. The first image and the second image can be registered through stereo registration or characteristic point registration, when the characteristic points are registered, the characteristic points of a group of images can be identified through an image identification algorithm, characteristic vector sets containing characteristic vectors corresponding to specific points of the two images are respectively obtained, the error matching points are deleted after the characteristic points in the two characteristic vector sets are matched, and a result after matching and correction is obtained. Specifically, a Scale-invariant feature transform (SIFT) algorithm is used for identifying feature points of a first image and a second image, feature vector sets of the two images are respectively generated, the two feature vector sets are matched by using a Best-node-limited algorithm (Best-bin-first algorithm, BBF algorithm), and then a random SAC algorithm is used for eliminating mismatching points to perform matching correction. And determining an image area matched with the first image in the second image through accurate matching.

And S903, performing image enhancement processing according to the image area matched with the first image in the second image to obtain a target image.

In the embodiment of the application, the image enhancement processing is performed on the image area matched with the first image in the second image shot by the second camera, so that the image display of the first image and/or the second image is enhanced. In an optional implementation manner, the performing, according to an image region in the second image that matches the first image, image enhancement processing to obtain a target image may include: and performing image enhancement processing on the first image according to the image area matched with the first image in the second image to obtain an enhanced first image, and generating a target image according to the enhanced first image. In the embodiment of the application, the second image and the first image are subjected to image registration processing to obtain an image area matched with the first image in the second image, and the first image is subjected to image enhancement processing according to the matched image area. Optionally, the image area in the second image, which is matched with the first image, and the first image may be subjected to blocking processing to obtain a plurality of third block images of the image area in the second image, which is matched with the first image, and a plurality of fourth block images after the first image is subjected to blocking processing, where the third block images and the fourth block images have the same size; and carrying out gray level conversion on each pixel value of each third block image and each pixel value of each fourth block image to obtain a third target pixel value of the plurality of third block images and a fourth target pixel value of the plurality of fourth block images, and carrying out image enhancement on the first image according to the third target pixel value and the fourth target pixel value to further obtain the enhanced first image, so that a user obtains a high-definition and high-quality image, and the impression of the user for browsing the image is improved.

In an optional implementation manner, the performing, according to an image region in the second image that matches the first image, image enhancement processing to obtain a target image may include: and performing image enhancement processing on the second image according to the image area matched with the first image in the second image to obtain an enhanced second image, and generating a target image according to the enhanced second image. In the embodiment of the application, after the image area matched with the first image in the second image is determined, the image enhancement processing is performed on the second image according to the image area. Optionally, the image area in the second image, which is matched with the first image, and the second image may be subjected to blocking processing to obtain a plurality of fifth block images of the image area in the second image, which is matched with the first image, and a plurality of sixth block images of the second image after the blocking processing, where the fifth block images and the sixth block images have the same size; and performing gray level conversion on each pixel value of each fifth block image and each pixel value of each sixth block image to obtain fifth target pixel values of the plurality of fifth block images and sixth target pixel values of the plurality of sixth block images, and performing image enhancement on the second image according to the fifth target pixel values and the sixth target pixel values to obtain an enhanced second image, so that a user can obtain a clearer second image.

In an optional implementation manner, the performing, according to an image region in the second image that matches the first image, image enhancement processing to obtain a target image may further include: and performing image enhancement processing on the first image and the second image according to an image area matched with the first image in the second image to obtain an enhanced first image and an enhanced second image, and generating a target image according to the enhanced first image and the enhanced second image. In the embodiment of the application, the first image and the second image are respectively subjected to image enhancement processing according to the image area matched with the first image in the second image, the enhanced first image and the enhanced second image are subjected to fusion processing, and a target image with the same size as the second image is generated or a target image with the same size as the first image is generated.

In an alternative embodiment, the performing the image enhancement processing according to the image area matched with the first image in the second image may include at least one of: taking the first image as a reference image, and performing color enhancement processing and/or texture enhancement processing on the first image according to an image area matched with the first image in the second image; taking the second image as a reference image, and performing color enhancement processing and/or texture enhancement processing on the second image according to an image area matched with the first image in the second image; taking the first image as a reference image, and performing color enhancement processing and/or texture enhancement processing on the first image and the second image according to an image area matched with the first image in the second image; and performing color enhancement processing and/or texture enhancement processing on the first image and the second image according to an image area matched with the first image in the second image by taking the second image as a reference image.

In this embodiment of the present application, when a first image is used as a reference image, gray-scale conversion may be performed on each pixel value of an image area, which is matched with the first image, in the first image and the second image, so as to obtain a target pixel value of the first image and a target pixel value of an image area, which is matched with the first image, in the second image; performing color enhancement and/or texture enhancement on the first image according to each target pixel value of the first image and each target pixel value of an image area matched with the first image in the second image to obtain an enhanced first image (as shown in fig. 10), so that the display of the first image is enhanced; optionally, color enhancement and/or texture enhancement may be performed on the first image and the second image according to each target pixel value of the first image and each target pixel value of an image region in the second image, which is matched with the first image, to obtain the enhanced first image and the enhanced second image. When a second image is taken as a reference image, performing gray scale transformation on each pixel value of an image area matched with the first image in the first image and the second image to obtain a target pixel value of the first image and a target pixel value of an image area matched with the first image in the second image, and performing color enhancement and/or texture enhancement on the second image according to each target pixel value of the first image and each target pixel value of the image area matched with the first image in the second image to obtain an enhanced second image, so that the display of the second image is enhanced; optionally, color enhancement and/or texture enhancement may be performed on the first image and the second image according to each target pixel value of the first image and each target pixel value of an image area in the second image, which is matched with the first image, to obtain the enhanced first image and second image, which is beneficial to generation of the target image and improvement of image processing efficiency.

In the embodiment of the application, a first camera and a second camera are controlled to shoot a target environment, and a first image shot by the first camera and a second image shot by the second camera are obtained; determining an image area in the second image which is matched with the first image; and carrying out image enhancement processing according to the image area matched with the first image in the second image to obtain a target image. In the embodiment of the application, the first image and/or the second image can be enhanced, so that the finally obtained target image is high in definition and bright in color, the shooting efficiency of a user is improved, and the impression of the user when the user browses the image is improved.

Referring to fig. 11, fig. 11 is a schematic structural diagram of an image processing apparatus according to an embodiment of the present application, where the apparatus may be mounted on a shooting device in the foregoing method embodiment, and the device may specifically be a server. Optionally, in some embodiments, the camera may also be mounted on a shooting device, where the shooting device includes a first camera and a second camera, and a field angle size of the first camera is smaller than a field angle size of the second camera. The image processing apparatus shown in fig. 11 may be used to perform some or all of the functions in the method embodiments described above with reference to fig. 3, 5, 7 and 9. Wherein, the detailed description of each module is as follows:

an obtaining unit 1101, configured to control the first camera and the second camera to simultaneously capture a target environment, and obtain a first image captured by the first camera and a second image captured by the second camera;

the processing unit 1102 is configured to perform image fusion processing on the first image and the second image to obtain a target image.

In an optional implementation manner, the processing unit 1102 is specifically configured to perform image enhancement processing on an image region, which is matched with the first image, in the second image according to the first image, to obtain an enhanced second image; and generating a target image according to the enhanced second image.

In an optional implementation manner, the processing unit 1102 is specifically configured to block the enhanced second image to obtain at least one block image; and the method is used for fusing the chromatic value and/or the brightness value of each block image to obtain a target image.

In an optional embodiment, the processing unit 1102 is further configured to perform an image registration process on the first image and the second image, and determine an image region in the second image that matches the first image.

In an optional implementation manner, the processing unit 1102 is specifically configured to perform feature point extraction on the first image to obtain a first feature point set, and perform feature point extraction on the second image to obtain a second feature point set; the target characteristic point set matched with the first characteristic point set is determined from the second characteristic point set according to a preset algorithm; and the image area corresponding to the target feature point set in the second image is determined as the image area matched with the first image in the second image.

In an optional implementation manner, the processing unit 1102 is specifically configured to perform color enhancement processing and/or texture enhancement processing on an image area, which is matched with the first image, in the second image according to the first image, so as to obtain a processed second image.

In an alternative embodiment, the obtaining unit 1101 is specifically configured to obtain an image processing rule; the processing unit 1102 is further specifically configured to process the target image according to the image processing rule to obtain a processed target image.

In an optional implementation manner, the processing unit 1102 is specifically configured to perform stitching processing on the first image by using an image area of the second image except for an image area matched with the first image, so as to obtain a stitched first image; and generating a target image according to the first image after the splicing processing.

In an optional implementation manner, the processing unit 1102 is specifically configured to perform blocking on the first image after the stitching processing to obtain at least one blocked image; and carrying out fusion processing on the colorimetric values and/or the brightness values of the block images to obtain the target image.

In an optional implementation manner, the processing unit 1102 is specifically configured to perform first preset processing on each image area in the second image except for an image area matched with the first image, so as to obtain an image area after the preset processing; and the image processing device is used for utilizing the preset processed image area to carry out splicing processing on the first image to obtain a spliced first image.

In an optional implementation manner, the processing unit 1102 is specifically configured to perform a second preset process on the first image; and the image area of the second image except the image area matched with the first image is used for carrying out splicing processing on the preset processed first image to obtain a spliced first image.

In an optional implementation manner, the processing unit 1102 is specifically configured to control the first camera and the second camera to shoot a target environment, and obtain a first image shot by the first camera and a second image shot by the second camera; for determining an image region in the second image that matches the first image; and the image enhancement processing is carried out according to the image area matched with the first image in the second image to obtain a target image.

In an alternative embodiment, the processing unit 1102 performs image enhancement processing according to an image area in the second image, which matches the first image, to obtain the target image, where the image enhancement processing includes at least one of:

performing image enhancement processing on the first image according to an image area matched with the first image in the second image to obtain an enhanced first image, and generating a target image according to the enhanced first image;

performing image enhancement processing on the second image according to an image area matched with the first image in the second image to obtain an enhanced second image, and generating a target image according to the enhanced second image;

and performing image enhancement processing on the first image and the second image according to an image area matched with the first image in the second image to obtain an enhanced first image and an enhanced second image, and generating a target image according to the enhanced first image and the enhanced second image.

In an alternative embodiment, the processing unit 1102 performs image enhancement processing according to an image region in the second image that matches the first image, where the image enhancement processing includes at least one of:

In an optional implementation manner, the processing unit 1102 is specifically configured to perform image registration processing on the first image and the second image, so as to obtain an image area in the second image, where the image area matches the first image.

In an optional implementation manner, the processing unit 1102 is specifically configured to perform color enhancement processing and/or texture enhancement processing on the first image according to an image area, in the second image, that matches the first image, with the first image as a reference image, to obtain a processed first image.

According to an embodiment of the present application, some steps involved in the image processing methods shown in fig. 3, 5, 7, and 9 may be performed by respective modules in the image processing apparatus shown in fig. 11. The units in the image processing apparatus shown in fig. 11 may be respectively or entirely combined into one or several other modules to form one or several other modules, or some of the module(s) may be further split into multiple functionally smaller units to form the same operations, without affecting the achievement of the technical effects of the embodiments of the present application. The above units are divided based on logic functions, and in practical applications, the functions of one module may also be implemented by multiple modules, or the functions of multiple modules may also be implemented by one module. In other embodiments of the present application, the image processing apparatus may also include other modules, and in practical applications, these functions may also be implemented with the assistance of other modules, and may be implemented by cooperation of a plurality of modules.

Referring to fig. 12, fig. 12 is a schematic structural diagram of another shooting device provided in the embodiment of the present application. The present application further provides a mobile terminal, which includes a memory 1201, a processor 1202, and an image processing program stored in the memory 1201 and executable on the processor 1202, wherein the image processing program, when executed by the processor, implements the steps of the image processing method in any of the embodiments described above.

The present application further provides a computer-readable storage medium, on which an image processing program is stored, and the image processing program, when executed by a processor, implements the steps of the image processing method in any of the above embodiments.

In the embodiments of the mobile terminal and the computer-readable storage medium provided in the present application, all technical features of the embodiments of the image processing method are included, and the expanding and explaining contents of the specification are substantially the same as those of the embodiments of the incoming call remark method, and are not described herein again.

Embodiments of the present application also provide a computer program product, which includes computer program code, when the computer program code runs on a computer, the computer is caused to execute the method in the above various possible embodiments.

Embodiments of the present application further provide a chip, which includes a memory and a processor, where the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that a device in which the chip is installed executes the method in the above various possible embodiments.

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

In the present application, the same or similar term concepts, technical solutions and/or application scenario descriptions will be generally described only in detail at the first occurrence, and when the description is repeated later, the detailed description will not be repeated in general for brevity, and when understanding the technical solutions and the like of the present application, reference may be made to the related detailed description before the description for the same or similar term concepts, technical solutions and/or application scenario descriptions and the like which are not described in detail later.

In the present application, each embodiment is described with emphasis, and reference may be made to the description of other embodiments for parts that are not described or illustrated in any embodiment.

The technical features of the technical solution of the present application may be arbitrarily combined, and for brevity of description, all possible combinations of the technical features in the embodiments are not described, however, as long as there is no contradiction between the combinations of the technical features, the scope of the present application should be considered as being described in the present application.

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

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

Claims

1. An image processing method applied to a shooting device, wherein the shooting device comprises a first camera and a second camera, and the field angle size of the first camera is smaller than that of the second camera, and the method comprises the following steps:

2. The method according to claim 1, wherein the image fusion processing of the first image and the second image to obtain the target image comprises:

and generating a target image according to the enhanced second image.

3. The method of claim 2, wherein generating the target image from the enhanced second image comprises:

blocking the enhanced second image to obtain at least one blocked image;

4. The method according to claim 2, wherein before the image enhancement processing is performed on the image area, which is matched with the first image, in the second image according to the first image, and the enhanced second image is obtained, the method further comprises:

5. The method of claim 4, wherein the performing image registration processing on the first image and the second image to determine an image region in the second image that matches the first image comprises:

6. The method according to claim 2, wherein the performing image enhancement processing on an image region, which is matched with the first image, in the second image according to the first image to obtain a processed second image comprises:

7. The method according to any one of claims 1 to 6, wherein the image fusion processing of the first image and the second image to obtain a target image comprises:

8. The method according to claim 7, wherein the generating a target image from the stitched processed first image comprises:

9. The method according to claim 7, wherein the stitching the first image by using the image areas of the second image except the image area matching the first image to obtain a stitched first image comprises:

10. The method according to claim 7, wherein the stitching the first image by using the image areas of the second image except the image area matching the first image to obtain a stitched first image comprises:

performing second preset processing on the first image;

11. An image processing method is applied to a shooting device, and is characterized in that the shooting device comprises a first camera and a second camera, and the method comprises the following steps:

determining an image area in the second image that matches the first image;

12. The method of claim 11, wherein determining the image region in the second image that matches the first image comprises:

13. The method of claim 12, wherein the performing image registration processing on the first image and the second image to obtain an image region in the second image matching the first image comprises:

14. The method according to any one of claims 11 to 13, wherein the performing image enhancement processing according to the image area in the second image matching the first image comprises at least one of:

15. The method according to any one of claims 11 to 13, wherein the performing image enhancement processing according to the image area in the second image matching with the first image to obtain the target image comprises at least one of:

16. A mobile terminal, characterized in that it comprises a processor, a memory, wherein the memory is used for storing a computer program comprising program instructions, and the processor is configured for invoking the program instructions for performing the method according to any one of claims 1 to 15.

17. A computer-readable storage medium, comprising: the computer-readable storage medium stores one or more instructions adapted to be loaded by a processor and to perform the method of any of claims 1-15.