CN107302663B - Image brightness adjusting method, terminal and computer readable storage medium - Google Patents
Image brightness adjusting method, terminal and computer readable storage medium Download PDFInfo
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- H—ELECTRICITY
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- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/61—Control of cameras or camera modules based on recognised objects
- H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
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Abstract
The embodiment of the invention discloses an image brightness adjusting method, a terminal and a computer readable storage medium, wherein the method comprises the following steps: determining a first brightness average value and a second brightness average value of the acquired image, wherein the first brightness average value is a brightness average value of the whole image, and the second brightness average value is a brightness average value of a human face area in the image; determining a third brightness average value of the image according to the first brightness average value and the second brightness average value; determining a brightness adjustment value of the image according to the third brightness average value; and adjusting the brightness of the whole image according to the brightness adjustment value.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to an image brightness adjustment method, a terminal, and a computer-readable storage medium.
Background
With the rapid development of communication technology, terminals are developing towards intellectualization, for example, smart phones or tablet computers are also having more and more functions, and the mobile communication terminals are not simply used for meeting the mutual connection of people for a long time and become very important mobile personal entertainment terminals in daily life of people.
At present, the photographing function becomes an indispensable function of an intelligent terminal, and people can record wonderful moments anytime and anywhere. When shooting is carried out, under the environment of backlight, the brightness of the human face is far darker than the background. On the contrary, if the light source directly irradiates the face, the brightness of the face will be much brighter than the background. When the brightness of the face is significantly brighter or significantly darker, the image of the face may lose relevant features due to overexposure or underexposure of the features of the face.
Disclosure of Invention
In view of this, embodiments of the present invention desirably provide an image brightness adjustment method, a terminal, and a computer-readable storage medium, so as to solve the problem that in the prior art, a face is overexposed or underexposed during a shooting process, so that an image loses relevant features, and achieve brightness adjustment of the image based on face detection, thereby avoiding overexposure or underexposure of a face region, and further improving the quality of the image.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides an image brightness adjustment method, where the method includes:
determining a first brightness average value and a second brightness average value of the acquired image, wherein the first brightness average value is a brightness average value of the whole image, and the second brightness average value is a brightness average value of a human face area in the image;
determining a third brightness average value of the image according to the first brightness average value and the second brightness average value;
determining a brightness adjustment value of the image according to the third brightness average value;
and adjusting the brightness of the whole image according to the brightness adjustment value.
In a second aspect, an embodiment of the present invention provides a terminal, where the terminal at least includes: camera, treater, memory and communication bus, wherein:
the camera is used for collecting images;
the communication bus is used for realizing connection communication between the processor and the memory;
the memory is used for storing an image brightness adjusting program;
the processor is used for executing the image brightness adjusting program stored in the memory so as to realize the following steps:
determining a first brightness average value and a second brightness average value of the acquired image, wherein the first brightness average value is a brightness average value of the whole image, and the second brightness average value is a brightness average value of a human face area in the image;
determining a third brightness average value of the image according to the first brightness average value and the second brightness average value;
determining a brightness adjustment value of the image according to the third brightness average value;
and adjusting the brightness of the whole image according to the brightness adjustment value.
In a third aspect, an embodiment of the present invention provides a computer-readable storage medium, where an image brightness adjustment program is stored, and when being executed by a processor, the image brightness adjustment program implements the steps of the image brightness adjustment method described above.
The embodiment of the invention provides an image brightness adjusting method, a terminal and a computer readable storage medium, wherein a first brightness average value and a second brightness average value of an acquired image are determined firstly, wherein the first brightness average value is the brightness average value of the whole image, and the second brightness average value is the brightness average value of a face area in the image; then determining a third brightness average value of the image according to the first brightness average value and the second brightness average value; determining a brightness adjustment value of the image according to the third brightness average value; and finally, adjusting the brightness of the whole image according to the brightness adjustment value, so that when the face shooting is carried out, the brightness of the image can be adjusted according to the brightness average value of the whole image and the brightness average value of the face area, thereby avoiding the overexposure or underexposure of the face area and further improving the quality of the shot image.
Drawings
Fig. 1 is a schematic diagram of a hardware structure of a mobile terminal implementing various embodiments of the present invention;
fig. 2 is a diagram of a communication network system architecture according to an embodiment of the present invention;
fig. 3 is a schematic flow chart illustrating an implementation of a method for adjusting image brightness according to an embodiment of the present invention;
fig. 4 is a schematic flow chart illustrating an implementation of another image brightness adjustment method according to an embodiment of the present invention;
FIG. 5 is a schematic interface diagram of an image acquired by a terminal camera according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of an interface for a terminal to output prompt information according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of an image after brightness adjustment according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a 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 a message transmission or call, specifically, receive downlink information of a base station and then process the received downlink information to the processor 110, and transmit uplink data to the base station, in General, the 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, and in addition, the Radio Frequency unit 101 may further communicate with a network and other devices through wireless communication, and the wireless communication may use any communication standard or protocol, including, but not limited to, GSM (Global System of Mobile communication), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access ), TD-SCDMA (Synchronous Time Division Multiple Access, Code Division Multiple Access, Time Division Multiple Access, etc., TDD — Time Division Multiple Access, L Time Division Multiple Access, etc.
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 may include a Display panel 1061, and the Display panel 1061 may be configured in the form of a liquid Crystal Display (L acquired Crystal Display, L CD), an Organic light-Emitting Diode (O L ED), 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, the communication Network system is L TE system of universal mobile telecommunications technology, and the L TE 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 eNodeB 2021 and other eNodeBs 2022, among others. Among them, the eNodeB 2021 may be connected with other eNodeB 2022 through backhaul (e.g., X2 interface), the eNodeB 2021 is connected to the EPC203, and the eNodeB 2021 may provide the UE201 access to the EPC 203.
The EPC203 may include an MME (Mobility Management Entity) 2031, an HSS (Home Subscriber Server) 2032, other MMEs 2033, an SGW (Serving gateway) 2034, a PGW (PDN gateway) 2035, and a PCRF (Policy and charging functions Entity) 2036, and the like. The MME2031 is a control node that handles signaling between the UE201 and the EPC203, and provides bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location register (not shown) and holds subscriber specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034, PGW2035 may provide IP address assignment for UE201 and other functions, and PCRF2036 is a policy and charging control policy decision point for traffic data flow and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).
The IP services 204 may include the internet, intranets, IMS (IP Multimedia Subsystem), or other IP services, among others.
Although L TE system is described above as an example, it should be understood by those skilled in the art that the present invention is not limited to L TE system, but also can be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems, etc., and is not limited herein.
Example one
An embodiment of the present invention provides an image brightness adjusting method, and fig. 3 is a schematic diagram illustrating an implementation flow of the image brightness adjusting method provided in the embodiment of the present invention, as shown in fig. 3, the method includes the following steps:
step S301, a first luminance average value and a second luminance average value of the acquired image are determined.
Here, the determining of the first brightness average value and the second brightness average value of the acquired image in step S301 may be implemented by a terminal, and further may be a mobile terminal, for example, a mobile terminal with a wireless communication capability, such as a mobile phone (mobile phone), an iPad, a notebook, a wearable smart watch, and the like, where the mobile terminal includes at least a camera and a display screen, and the camera may be on the same plane as a plane where the display screen of the terminal is located, or may be on an opposite plane to the plane where the display screen of the terminal is located.
The brightness of an image refers to the intensity of the image pixels, black being darkest, white being brightest, black being represented by 0, and white being represented by 255. One pixel is basically R (0-255), G (0-255), B (0-255) expressed by three color components of Red Green Blue (RGB). There is no relation between the brightness and the hue, and the same brightness can be either red or green, just like the image in a black and white (grayscale) television, and it cannot be determined whether red or green by just one grayscale. Therefore, the luminance and the hue of the pixel are irrelevant.
For a color image, determining the first average brightness value first converts an RGB space matrix of the image into a Hue Saturation brightness (HS L highness, HS L) space matrix, wherein L components of the HS L space matrix represent brightness and then are determined according to L components of the image, and similarly, determining the second average brightness value first converts the RGB space matrix of the face area in the image into an HS L space matrix and then determines L components in the HS 3875 matrix.
While determining the average value of the luminance of an image from the L components in the HS L matrix can be achieved in two ways:
the first mode is that the average value of the brightness of the image can be obtained by carrying out twice average (mean) operation on L components of the image;
in the second mode, L components in the image are converted into a logarithmic space to calculate the logarithmic space brightness average value of the image, and the logarithmic space brightness average value of the image is subjected to anti-logarithmic calculation to obtain the brightness average value of the image.
Of course, the above-mentioned methods for calculating the first brightness average value and the second brightness average value of the image are all exemplary descriptions, and those skilled in the art may utilize the technical idea of the present invention to provide other ways for determining the first brightness average value and the second brightness average value of the image according to their specific requirements, which are within the scope of the present invention and are not exhaustive here.
Step S302, determining a third brightness average value of the image according to the first brightness average value and the second brightness average value.
Here, the step S302 of determining the third luminance average value of the image according to the first luminance average value and the second luminance average value may be implemented by a terminal. The third luminance average value can be understood as a mixed luminance average value of the image. Namely, the first brightness average value and the second brightness average value are subjected to certain operation to obtain a third brightness average value of the image.
In other embodiments of the present invention, the step S302 of determining the third luminance average value of the image according to the first luminance average value and the second luminance average value may be implemented by:
step S3021, determining a current environment brightness value according to the first brightness average value;
step S3022, determining a first weight according to the current environment brightness value;
step S3023, determining a third luminance average value of the image according to the first luminance average value, the second luminance average value, and the first weight value.
In the above embodiments of step S3021 to step S3023, the determining the current environment brightness value according to the first brightness average value may be implemented by querying a preset correspondence table between the environment brightness value and the brightness average value. For example, the first luminance average is 300 candelas per square meter (cd/m)2) Then, the corresponding ambient brightness value is 350 lux; the first luminance average value is 150cd/m2Then, the corresponding ambient brightness value is 100 lux. The correspondence table between the ambient brightness value and the brightness average value may be set in advance by a manufacturer of the terminal, and is generally invisible to the user and cannot be modified by the user.
The determination of the current ambient brightness value from the first average brightness value may also be determined by a preset calculation formula, which is also set in advance by a manufacturer of the terminal, and is also invisible to the user and cannot be modified by the user.
The determining of the first weight according to the current environment brightness value may be implemented by querying a preset corresponding relationship table between the environment brightness and the first weight, where it should be noted that, in the corresponding relationship table between the environment brightness and the first weight, the environment brightness may be a value range, for example, a first weight corresponding to an environment brightness value between 200lux and 300lux is 0.8, a first weight corresponding to an environment brightness value smaller than 200lux is 0.7, and a first weight corresponding to an environment brightness value larger than 300lux is 0.9.
The first weight value is a weight value corresponding to the second brightness average value of the face region and is a decimal less than 1, that is, if the current environment brightness value is higher, for example, in a daytime environment with clear outdoor weather, and when the third brightness average value of the image is calculated, the weight occupied by the second brightness average value of the face region is lower than the weight occupied by the second brightness average value of the face region in the current environment, for example, in a night environment. When the picture is taken in a strong light environment, the brightness average value (the second brightness average value) of the face area is often lower than the brightness average values of other areas, and at this time, when the mixed brightness average value (the third brightness average value) of the image is calculated, a higher weight is given to the brightness average value of the face area, which can be regarded as reducing the brightness average value of the background area, so that the mixed brightness average value of the image is closer to the brightness average value of the face area, and thus, the face area is prevented from being underexposed. When the picture is taken in a dark light environment, the brightness average value of the face area is often higher than that of the background area, and at the moment, when the mixed brightness average value of the image is calculated, a lower weight value is given to the brightness average value of the face area, so that the brightness average value of the face area can be considered to be reduced, and the overexposure of the face area is avoided.
Step S303, determining a brightness adjustment value of the image according to the third brightness average value.
Here, the step S303 of determining the brightness adjustment value of the image according to the third brightness average value may be implemented by a terminal.
In other embodiments of the present invention, the step S303 of determining the brightness adjustment value of the image according to the third brightness average value may be implemented by:
step S3031, acquiring a first preset value and a second preset value;
step S3032, determining a common logarithm value of a ratio of the first preset value and the third brightness average value as a pre-adjustment value;
step S3033, determining a product of the pre-adjustment value and the second preset value as a brightness adjustment value of the image.
In the embodiment of steps S3031 to S3033, the first preset value is a target brightness value, the first preset value may be set by a manufacturer of the terminal before the terminal leaves the factory, or the first preset value may be provided by the terminal as an interface for the user to modify, and the user modifies the first preset value according to his/her preference or requirement, but the modified value of the user should be within a range set by the manufacturer of the terminal, and if the modified value of the user is not within the range, the modification fails, and the user is prompted to modify the range.
The second preset value may be a constant value or may be understood as a coefficient, and the second preset value is set by a manufacturer of the terminal before the terminal leaves a factory, and is generally invisible to a user and cannot be modified by the user.
And step S304, adjusting the brightness of the whole image according to the brightness adjustment value.
Here, the step S304 of adjusting the brightness of the whole image according to the brightness adjustment value may be implemented by a terminal.
In other embodiments of the present invention, the adjusting the brightness of the whole image according to the brightness adjusting value in step S304 can be implemented by:
step S3041, determining an initial brightness value of each pixel in the image;
step S3042, determining a target brightness value of each pixel in the image according to the brightness adjustment value and the initial brightness value of each pixel in the image;
step S3043, adjusting the brightness of each pixel in the image according to the target brightness value of each pixel in the image.
The image brightness adjusting method provided by the embodiment of the invention comprises the steps of firstly determining a first brightness average value and a second brightness average value of an acquired image, wherein the first brightness average value is the brightness average value of the whole image, and the second brightness average value is the brightness average value of a human face area in the image; then determining a third brightness average value of the image according to the first brightness average value and the second brightness average value; determining a brightness adjustment value of the image according to the third brightness average value; and finally, adjusting the brightness of the whole image according to the brightness adjustment value, so that when the face shooting is carried out, the brightness of the image can be adjusted according to the brightness average value of the whole image and the brightness average value of the face area, thereby avoiding the overexposure or underexposure of the face area and further improving the quality of the shot image.
Example two
Based on the foregoing embodiment, an embodiment of the present invention further provides an image brightness adjusting method, which is applied to a terminal, where the terminal at least includes a camera, and fig. 4 is a schematic diagram of an implementation flow of another image brightness adjusting method according to an embodiment of the present invention, and as shown in fig. 4, the method includes the following steps:
in step S401, the terminal obtains an operation instruction for the user to start the camera application.
Here, in the present embodiment, the user may start the camera application in various ways, for example: the camera application can be started by clicking a camera application icon of the terminal, and can also be realized by pressing a touch operation area on the side of the terminal, namely, the terminal acquires an operation instruction of starting the camera application by a user, and the operation instruction comprises the following steps: the method comprises the steps of obtaining touch operation received by a preset touch operation area on the side edge of a terminal, and determining a control instruction corresponding to the touch operation; and when the control instruction is to start the camera application, starting the camera application. In addition, the camera application can be started through voice, gestures and the like. The above listed trigger modes for starting the camera application are only exemplary, and those skilled in the art can utilize the technical idea of the present invention, and other trigger modes for starting the camera application according to their specific requirements are within the protection scope of the present invention, and are not exhaustive here.
Step S402, the terminal starts a camera based on the operation instruction;
here, the camera may be a front camera or a rear camera. For example, each time the camera application is started, the rear camera may be started by default. Or may be a camera used when the camera application was last turned off.
And after the terminal starts the camera, entering a shooting preview interface of the terminal, and enabling a user to preview the image shot by the camera in the shooting preview interface. In the terminal, the camera may be a standard camera, a wide-angle camera, a telephoto camera, a black-and-white camera, and the like.
In other embodiments of the present invention, when the terminal includes a plurality of cameras, for example, there are two front cameras and two rear cameras, and the types of the two front cameras may be the same or different. For example, the two front cameras are both standard cameras, or one front camera is a standard camera and the other front camera is a black-and-white camera. Likewise, the two rear cameras may be of the same type or of different types. For example, both rear cameras are standard cameras, or one rear camera is a wide-angle camera and the other rear camera is a telephoto camera.
Step S403, the terminal performs face detection on the preview image, and determines whether a face region exists in the image.
Here, if a face region exists in the image, the process proceeds to step S404; and if the face area does not exist in the image, ending the process.
In the embodiment of the present invention, the terminal performs face detection on the preview image, and determines whether a face region exists in the image, or whether the image has a face region according to a plurality of face features. The human face features are more characteristic regions of the face of a general person, such as eyes, eyebrows, a nose or a mouth. When the detection process is executed, the gradient direction information among the features can be found by using the features, and the gradient direction information is used as the detection basis. In addition, features such as the contour and the shape of the human face can be used as detection bases. The number of the face features can be hundreds or thousands, and after the image is filtered by the hundreds or thousands of features, the regions which all accord with the features are the face regions. Or detecting the face by adopting a method based on the distance between the two eyes, firstly obtaining the distance between the two eyes, then taking the midpoint of the distance between the two eyes, and positioning the face by utilizing the mathematical operation of the midpoint coordinate and the distance between the two eyes.
In addition, the method for performing face detection may also be a method for matching an elastic graph, a method based on an artificial neural network, a method based on a support vector machine, and the like, the above-listed methods for performing face detection are merely exemplary, and those skilled in the art can use the technical idea of the present invention, and other methods for performing face detection proposed according to their specific requirements are within the protection scope of the present invention, and are not exhaustive here.
In step S404, the terminal determines a first luminance average value and a second luminance average value of the image.
Here, the first luminance average value is a luminance average value of the entire image; the second brightness average value is the brightness average value of the human face area.
In step S405, the terminal determines whether an absolute value of a difference between the first luminance average value and the second luminance average value is greater than a third preset value.
Here, if the absolute value of the difference between the first brightness average value and the second brightness average value is greater than a third preset value, it indicates that the difference between the second brightness average value of the face area and the brightness average value of the whole image is too large, which may cause overexposure or underexposure, and then the process proceeds to step S406; if the absolute value of the difference value between the first brightness average value and the second brightness average value is smaller than or equal to a third preset value, it is indicated that the difference between the second brightness average value of the face area and the brightness average value of the whole image is within an acceptable range, and at this time, brightness adjustment is not needed, and the process is ended.
Fig. 5 is an interface schematic diagram of an image acquired by a terminal camera according to an embodiment of the present invention, and as shown in fig. 5, a region 501 is a detected face region, and because the face region has high brightness in a dark light environment, overexposure may be caused.
Step S406, the terminal outputs prompt information and judges whether an instruction sent by a user for adjusting the image brightness is received.
Here, the prompt information is used to prompt the user whether to perform image brightness adjustment. Fig. 6 is a schematic interface diagram of a terminal outputting a prompt message according to an embodiment of the present invention, and as shown in fig. 6, when a difference between a first brightness average value and a second brightness average value is too large, the terminal outputs the prompt message shown in 601 on a screen and determines whether an instruction for adjusting image brightness sent by a user is received. In the actual implementation process, if the user clicks a 'yes' button, the user considers that an instruction for adjusting the image brightness sent by the user is received; if the user clicks the "no" button or other area except the "yes" button, it is considered that the instruction for image brightness adjustment issued by the user is not received.
In other embodiments, the terminal may further include a switch for adjusting image brightness, a user may set a state of the switch in advance, when a difference between the first brightness average value and the second brightness average value is too large, the terminal determines whether the state of the switch is on, and if the state of the switch is on, the terminal proceeds to step S407; if the state of the switch is off, generating 'whether the face area in the current image is overexposed or underexposed, and the brightness adjustment switch is turned on', further judging whether an instruction of turning on the brightness adjustment switch by a user is received, and if the instruction of turning on the brightness adjustment switch is received, entering step S407; and if the command of turning on the brightness adjusting switch is not received, the flow is received.
Step S407, the terminal determines a current environment brightness value according to the first brightness average value.
Here, the determining of the current environment brightness value according to the first brightness average value may be implemented by querying a preset correspondence table between the environment brightness value and the brightness average value.
Step S408, the terminal determines a first weight according to the current environment brightness value.
Here, the determining the first weight according to the current ambient brightness value may be implemented by querying a preset correspondence table between the ambient brightness and the first weight, where table 1 is a correspondence table between the ambient brightness and the first weight, and as shown in table 1, in the correspondence table between the ambient brightness and the first weight, the ambient brightness may be a value range.
Table 1, corresponding relation table of ambient brightness and first weight
| Ambient brightness value | |
| 0～200lux | 0.7 |
| 200～300lux | 0.8 |
| 300lux～∞ | 0.9 |
And step S409, the terminal determines a third brightness average value of the image according to the first brightness average value, the second brightness average value and the first weight value.
Here, the step S409 may be implemented by: determining a product of the first weight value and the second brightness average value as a first mixed value; determining a product of a difference value obtained by subtracting the first weight value from 1 and the first brightness average value as a second mixed value; determining a sum of the first blending value and the second blending value as a third luminance average of the image.
In practical implementation, the third luminance average value of the image may be determined according to formula (1-1):
metered_luma＝face_weight*face_luma+(1-face_weight)*cur_luma (1-1)；
in the formula (1-1), measured _ luma is the third luminance average value, face _ weight is the first weight, face _ luma is the second luminance average value, and cur _ luma is the first luminance average value.
And step S410, determining a brightness adjustment value of the image according to the third brightness average value.
Here, the step S410 may be implemented by: acquiring a first preset value and a second preset value; determining a common logarithm value of a ratio of the first preset value to the third brightness average value as a pre-adjustment value; and determining the product of the pre-adjustment value and the second preset value as the brightness adjustment value of the image.
In an actual implementation, the brightness adjustment value of the image may be determined according to equation (1-2).
In the formula (1-2), luma _ offset is a luminance adjustment value, luma _ target is a first preset value, and lg () is a common logarithmic function.
And step S411, adjusting the brightness of the whole image according to the brightness adjustment value.
In step S412, the terminal converts the brightness-adjusted image from the HS L color space to an RGB color space, and outputs the brightness-adjusted image.
Fig. 7 is a schematic diagram of an image after brightness adjustment according to an embodiment of the present invention, and as shown in fig. 7, after brightness adjustment, the brightness value of the face region 701 is significantly reduced, so that overexposure is avoided.
In the image brightness adjusting method provided by the embodiment of the invention, firstly, the terminal starts the camera application according to the operation instruction of the user and controls the camera to acquire the image, then determining a first brightness average value and a second brightness average value of the image on the premise that a human face area exists in the image, and determining a third luminance average value of the image based on the first luminance average value and the second luminance average value, further determining a brightness adjustment value according to the third brightness average value, finally adjusting the brightness of the image according to the brightness adjustment value, because different first weight values are determined according to the environment brightness of different shots when the third brightness value is determined, therefore, the brightness of the human face area can be reduced or increased in different environments, overexposure or underexposure is avoided, and the quality of the shot image is improved.
Example four
Fig. 8 is a schematic view of a structure of a terminal according to an embodiment of the present invention, and as shown in fig. 8, the terminal 800 at least includes: processor 801, memory 802, communication bus 803 and camera 804, wherein:
the processor 801 is configured to execute an image brightness adjustment program stored in the memory, so as to implement the following steps:
determining a first brightness average value and a second brightness average value of the acquired image, wherein the first brightness average value is a brightness average value of the whole image, and the second brightness average value is a brightness average value of a human face area in the image;
determining a third brightness average value of the image according to the first brightness average value and the second brightness average value;
determining a brightness adjustment value of the image according to the third brightness average value;
and adjusting the brightness of the whole image according to the brightness adjustment value.
In other embodiments of the present invention, before the step of determining the first brightness average value and the second brightness average value of the acquired image, the processor 801 is further configured to execute an image brightness adjustment program stored in a memory to implement the following steps:
and performing face detection on the image, and judging whether a face region exists in the image, wherein if the face region exists in the image, a first brightness average value and a second brightness average value of the acquired image are determined.
In other embodiments of the present invention, the determining a third luminance average value of the image according to the first luminance average value and the second luminance average value includes:
determining a current environment brightness value according to the first brightness average value;
determining a first weight according to the current environment brightness value;
and determining a third brightness average value of the image according to the first brightness average value, the second brightness average value and the first weight value.
In other embodiments of the present invention, the determining a third luminance average value of the image according to the first luminance average value, the second luminance average value and the first weight value includes:
determining a product of the first weight value and the second brightness average value as a first mixed value;
determining a product of a difference value obtained by subtracting the first weight value from 1 and the first brightness average value as a second mixed value;
determining a sum of the first blending value and the second blending value as a third luminance average of the image.
In other embodiments of the present invention, the determining the brightness adjustment value of the image according to the third brightness average value includes:
acquiring a first preset value and a second preset value;
determining a common logarithm value of a ratio of the first preset value to the third brightness average value as a pre-adjustment value;
and determining the product of the pre-adjustment value and the second preset value as the brightness adjustment value of the image.
In other embodiments of the present invention, the adjusting the brightness of the whole image according to the brightness adjustment value includes:
determining an initial luminance value for each pixel in the image;
determining a target brightness value of each pixel in the image according to the brightness adjustment value and the initial brightness value of each pixel in the image;
and adjusting the brightness of each pixel in the image according to the target brightness value of each pixel in the image.
The memory 802 is used for storing an image brightness adjusting program;
the communication bus 803 is used for realizing connection communication between the processor and the memory;
the camera 804 is used for collecting images.
EXAMPLE five
An embodiment of the present invention provides a computer-readable storage medium storing one or more programs, the one or more programs being executable by one or more processors to implement the steps of:
determining a first brightness average value and a second brightness average value of the acquired image, wherein the first brightness average value is a brightness average value of the whole image, and the second brightness average value is a brightness average value of a human face area in the image;
determining a third brightness average value of the image according to the first brightness average value and the second brightness average value;
determining a brightness adjustment value of the image according to the third brightness average value;
and adjusting the brightness of the whole image according to the brightness adjustment value.
It should be noted that one or more programs in the embodiment of the present invention may be an image brightness adjustment program used when image brightness adjustment is performed.
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.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method described in the embodiments of the present invention.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (8)
1. An image brightness adjustment method, characterized in that the method comprises:
determining a first brightness average value and a second brightness average value of the acquired image, wherein the first brightness average value is a brightness average value of the whole image, and the second brightness average value is a brightness average value of a human face area in the image;
determining a current environment brightness value according to the first brightness average value;
determining a first weight according to the current environment brightness value;
determining a third brightness average value of the image according to the first brightness average value, the second brightness average value and the first weight value;
determining a brightness adjustment value of the image according to the third brightness average value;
and adjusting the brightness of the whole image according to the brightness adjustment value.
2. The method as recited in claim 1, wherein prior to the step of determining the first and second luminance averages of the acquired image, the method further comprises:
and performing face detection on the image, and judging whether a face region exists in the image, wherein if the face region exists in the image, a first brightness average value and a second brightness average value of the acquired image are determined.
3. The method of claim 1, wherein determining a third luminance average for the image based on the first luminance average, the second luminance average, and the first weight comprises:
determining a product of the first weight value and the second brightness average value as a first mixed value;
determining a product of a difference value obtained by subtracting the first weight value from 1 and the first brightness average value as a second mixed value;
determining a sum of the first blending value and the second blending value as a third luminance average of the image.
4. The method of claim 1, wherein determining the brightness adjustment value for the image based on the third brightness average comprises:
acquiring a first preset value and a second preset value;
determining a common logarithm value of a ratio of the first preset value to the third brightness average value as a pre-adjustment value;
and determining the product of the pre-adjustment value and the second preset value as the brightness adjustment value of the image.
5. The method of claim 1, wherein said adjusting the brightness of the entire image according to the brightness adjustment value comprises:
determining an initial luminance value for each pixel in the image;
determining a target brightness value of each pixel in the image according to the brightness adjustment value and the initial brightness value of each pixel in the image;
and adjusting the brightness of each pixel in the image according to the target brightness value of each pixel in the image.
6. A terminal, characterized in that the terminal comprises at least: camera, treater, memory and communication bus, wherein:
the camera is used for collecting images;
the communication bus is used for realizing connection communication between the processor and the memory;
the memory is used for storing an image brightness adjusting program;
the processor is used for executing the image brightness adjusting program stored in the memory so as to realize the following steps:
determining a first brightness average value and a second brightness average value of the acquired image, wherein the first brightness average value is a brightness average value of the whole image, and the second brightness average value is a brightness average value of a human face area in the image;
determining a current environment brightness value according to the first brightness average value;
determining a first weight according to the current environment brightness value;
determining a third brightness average value of the image according to the first brightness average value, the second brightness average value and the first weight value;
determining a brightness adjustment value of the image according to the third brightness average value;
and adjusting the brightness of the whole image according to the brightness adjustment value.
7. The terminal of claim 6, wherein prior to the step of determining the first and second luminance averages for the captured image, the processor is further configured to execute an image luminance adjustment program stored in the memory to perform the steps of:
and performing face detection on the image, and judging whether a face region exists in the image, wherein if the face region exists in the image, a first brightness average value and a second brightness average value of the acquired image are determined.
8. A computer-readable storage medium, having an image brightness adjustment program stored thereon, which when executed by a processor implements the steps of the image brightness adjustment method according to any one of claims 1 to 5.
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| CN107705247B (en) * | 2017-10-31 | 2021-06-15 | 努比亚技术有限公司 | Image saturation adjusting method, terminal and storage medium |
| CN107833190A (en) * | 2017-10-31 | 2018-03-23 | 努比亚技术有限公司 | A kind of parameter determination method, terminal and computer-readable recording medium |
| CN108063899A (en) * | 2017-12-12 | 2018-05-22 | 天津天地基业科技有限公司 | A kind of exposure method for multiple target moving object |
| CN108200352B (en) * | 2017-12-27 | 2021-03-05 | 上海营湾医疗科技有限公司 | Method, terminal and storage medium for adjusting picture brightness |
| CN108196924B (en) * | 2017-12-28 | 2021-01-15 | 努比亚技术有限公司 | Brightness adjusting method, terminal and computer readable storage medium |
| CN109308687A (en) * | 2018-09-06 | 2019-02-05 | 百度在线网络技术（北京）有限公司 | Method and apparatus for adjusting brightness of image |
| CN111093039B (en) * | 2018-10-24 | 2021-07-16 | 北京图森智途科技有限公司 | Exposure evaluation value calculation method, exposure parameter adjustment method and imaging equipment |
| CN110086997B (en) * | 2019-05-20 | 2021-07-20 | 北京百度网讯科技有限公司 | Face image exposure brightness compensation method and device |
| CN112104812B (en) * | 2019-06-18 | 2023-11-07 | 北京京东尚科信息技术有限公司 | Picture acquisition method and device |
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| CN113544692B (en) | 2019-10-10 | 2024-09-06 | 谷歌有限责任公司 | Camera synchronization and image tagging for facial authentication |
| CN114268745B (en) * | 2020-09-16 | 2024-06-28 | 北京小米移动软件有限公司 | Brightness adjustment method, device, equipment and storage medium |
| CN113031675B (en) * | 2021-03-05 | 2022-03-29 | 中南大学 | Self-adaptive control method, system and device for visible light and storage medium |
| CN113347369B (en) * | 2021-06-01 | 2022-08-19 | 中国科学院光电技术研究所 | Deep space exploration camera exposure adjusting method, adjusting system and adjusting device thereof |
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