WO2023087663A1 - 拍照方法、电子设备以及计算机可读存储介质 - Google Patents

拍照方法、电子设备以及计算机可读存储介质 Download PDF

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Publication number
WO2023087663A1
WO2023087663A1 PCT/CN2022/096015 CN2022096015W WO2023087663A1 WO 2023087663 A1 WO2023087663 A1 WO 2023087663A1 CN 2022096015 W CN2022096015 W CN 2022096015W WO 2023087663 A1 WO2023087663 A1 WO 2023087663A1
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information
white balance
preview image
environmental information
balance calibration
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PCT/CN2022/096015
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English (en)
French (fr)
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魏侠亮
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深圳天珑无线科技有限公司
深圳市天珑移动技术有限公司
宜宾市天珑通讯有限公司
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Publication of WO2023087663A1 publication Critical patent/WO2023087663A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00—Details of colour television systems
    • H04N9/64—Circuits for processing colour signals
    • H04N9/73—Colour balance circuits, e.g. white balance circuits or colour temperature control
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Definitions

  • the present application relates to the field of image processing, in particular to a photographing method, electronic equipment, and a computer-readable storage medium.
  • Photographing devices using image sensors have a white balance function to adjust the color tone of captured images. Because the brilliance and color reflected by the object is determined by the color of the light source, the reason why human eyes still see white objects as white under various conditions such as sunlight, smog, fluorescence, indoors and outdoors is because human vision The system can adapt itself and adjust according to the external environment. However, the photosensitive element of the shooting equipment does not have this kind of adaptation function. In order to be close to the human visual standard, the shooting equipment must imitate the human visual system to adjust the color tone of the image according to the light, which requires an automatic or manual white balance function to make the image achieve Satisfied shades.
  • the grayscale world method is generally used in the shooting function components of mobile phones.
  • the method is based on the grayscale world assumption, which holds that for an image with a large number of colors, the average value of its RGB components tends to the same grayscale value.
  • this method assumes that the mean value of the average reflection of light by natural scenes is generally a constant value.
  • the algorithm is divided into three steps: calculating the average gray level of the RGB channel, calculating the gain coefficient of the RGB channel, and multiplying the original value by the gain coefficient.
  • this method is used in various environments such as different weather conditions, indoors and outdoors, day and night, the automatic white balance calibration is prone to errors, and the actual scene color cannot be completely restored.
  • the main purpose of the present application is to provide a photographing method, an electronic device and a computer-readable storage medium, which can solve the technical problem that the white balance calibration cannot accurately restore the color of the scene due to the changing environment.
  • the first technical solution adopted by this application is to provide a method for taking pictures.
  • the method includes: displaying a preview interface in response to the first photographing instruction; wherein, the preview interface includes at least the acquired preview image; acquiring current environmental information; wherein the environmental information includes at least time information, location information and weather information.
  • the second technical solution adopted by the present application is to provide an electronic device.
  • the electronic device includes a memory and a processor, the memory is used to store program data, and the program data can be executed by the processor to implement the method described in the first technical solution.
  • the third technical solution adopted by the present application is to provide a computer-readable storage medium.
  • the computer-readable storage medium stores program data, which can be executed by a processor to implement the method described in the first technical solution.
  • the beneficial effect of the present application is: by acquiring the current environmental information of the device, the environmental information is combined with the white balance algorithm, so that even under various environmental conditions, the white balance process can still more accurately determine the light conditions of the current environment , the actual color of the scene, so as to restore the color of the acquired preview image to be closer to the actual color of the scene.
  • Fig. 1 is a schematic flow chart of the first embodiment of the photographing method of the present application
  • Fig. 2 is a schematic flow chart of the second embodiment of the photographing method of the present application.
  • Fig. 3 is a schematic flow chart of the third embodiment of the photographing method of the present application.
  • Fig. 4 is a schematic flow chart of the fourth embodiment of the photographing method of the present application.
  • Fig. 5 is a schematic flow chart of the fifth embodiment of the photographing method of the present application.
  • Fig. 6 is a schematic flow chart of the sixth embodiment of the photographing method of the present application.
  • FIG. 7 is a schematic flow diagram of the seventh embodiment of the photographing method of the present application.
  • FIG. 8 is a schematic structural diagram of an embodiment of the electronic device of the present application.
  • FIG. 9 is a schematic structural diagram of an embodiment of a computer-readable storage medium of the present application.
  • FIG. 1 is a schematic flowchart of the first embodiment of the photographing method of the present application. The method includes the following steps:
  • the shooting module When the user selects the shooting instruction of the shooting module, the shooting module will display a shooting preview interface, which is used to display the preview image of the scene obtained by the current terminal device without image algorithm processing.
  • the shooting module After obtaining the preview image of the scene, the shooting module will obtain the location information, time information and weather information of the environment from the terminal device's own system, which is used for white balance calibration and color judgment of the actual scene.
  • the time information is that the terminal device obtains its own system time and is determined according to the system time.
  • the system time can also be obtained through clock applications.
  • the location information is obtained by obtaining map information sent by a map application program, such as GPS, etc., and is determined according to the map information.
  • the weather information is obtained by obtaining the weather information sent by the weather application.
  • the judgment of the time information can also be based on the current location information.
  • the terminal device will determine the current time information as four o'clock.
  • S13 Perform white balance calibration processing on the preview image according to the environment information.
  • Different light conditions can be determined according to the environmental information, so as to more accurately determine the actual color conditions of the current scene.
  • white balance calibration is used to process the acquired preview image, the restored image will be more in line with the observation imaging of the human visual system.
  • the environmental information is combined with the white balance algorithm, so that even under various environmental conditions, the white balance process can still more accurately determine the light conditions of the current environment, the scene The actual color situation, so as to restore the actual scene color.
  • the auxiliary adjustment process based on environmental information is directly added to the process of taking pictures, so that users can observe the best light and shadow color effects during the shooting process, and then shoot images or videos that meet the needs of users.
  • FIG. 2 is a schematic flowchart of a second embodiment of the photographing method of the present application. The method includes the following steps:
  • the shooting module When the user selects the shooting instruction of the shooting module, the shooting module will display a shooting preview interface, which is used to display the preview image of the scene obtained by the current terminal device without image algorithm processing.
  • the shooting module After obtaining the preview image of the scene, the shooting module will obtain the location information, time information and weather information of the environment from the terminal device's own system, which is used for white balance calibration and color judgment of the actual scene.
  • the time information is that the terminal device obtains its own system time and is determined according to the system time.
  • the system time can also be obtained through clock applications.
  • the location information is obtained by obtaining map information sent by a map application program, such as GPS, etc., and is determined according to the map information.
  • the weather information is obtained by obtaining the weather information sent by the weather application.
  • the judgment of the time information can also be based on the current location information.
  • the terminal device will determine the current time information as four o'clock.
  • the time information may be information of a plurality of time segments divided based on time points. From 0:00 to 5:00 is early morning, from 5:00 to 8:00 is morning, from 8:00 to 11:00 is morning, from 11:00 to 14:00 is noon, from 14:00 to 18 One o'clock in the afternoon, eighteen o'clock to twenty-four o'clock in the evening.
  • the divided time periods can be the same or different, and the number of divided categories can be increased or decreased according to the actual situation. It may also be directly accurate time point information.
  • the location information can be divided into various situations such as indoor, outdoor, city, forest, etc., which are set according to the actual situation.
  • the weather information does not need to be further divided, for example, cloudy, sunny, heavy rain, heavy snow, etc., and subsequent processing can be performed according to the acquired ones.
  • the photographing module After the operation of obtaining the environment information, the photographing module will judge whether the required environment information has been obtained. When the required environment information is obtained, step S24 is executed. Otherwise, execute S25.
  • S24 Perform white balance calibration processing on the preview image according to the environment information.
  • the environmental information is provided to the white balance calibration process.
  • Auxiliary preset white balance algorithm for more accurate image scene color restoration operation. If only part of the environmental information is acquired, only the successfully acquired environmental information is provided to the white balance calibration process, and the unsuccessfully acquired environmental information is not considered.
  • S25 Perform white balance calibration processing on the preview image by using a preset algorithm.
  • the preset white balance algorithm is used to restore the color of the image scene, regardless of the influence of the environmental factors not obtained.
  • the preset white balance algorithm is an existing conventional white balance algorithm. It can be the conventional white balance algorithm used by the platform in the camera module or the used terminal device.
  • FIG. 3 is a schematic flowchart of a third embodiment of the photographing method of the present application. This embodiment is a further extension of step S23 in the second embodiment. The method includes the following steps:
  • One or more counters can be set for the camera module, the terminal equipment's own system or other related applications. And set a count threshold in the counter, the count is the number of times the photographing module acquires information from its own system or other applications of the terminal device. Each time the photographing module requests information from the system or other applications of the terminal device, one will be added to the counter.
  • the number of fetches for a fetch request in the fetch counter is the number of fetches for a fetch request in the fetch counter.
  • S33 Determine whether the number of acquisition times of the environmental information is less than or equal to the number threshold.
  • the shooting module or the terminal device will judge when the shooting module requests information from the system or other related applications of the terminal device.
  • the number of times threshold is compared. If not less than or equal to the times threshold, step S34 is executed. Otherwise, execute step S35.
  • the number of requests is not less than or equal to the number threshold, it indicates that the photographing module has not acquired the environment information within the set number of times, and it is determined that the acquisition of the environment information is unsuccessful.
  • step S36 If the number of times of requests is less than or equal to the number of times threshold, it is necessary to further determine whether the shooting module has acquired the required environment information. If the required environment information is obtained, step S36 is executed. Otherwise, execute step S32, and judge again when the camera module obtains the request next time.
  • the photographing module has obtained the required environmental information, which means that the environmental information has been obtained within the set number of times, and it is determined that the environmental information has been successfully obtained.
  • FIG. 4 is a schematic flowchart of a fourth embodiment of the photographing method of the present application, which is a further extension of step S24 in the second embodiment.
  • the method includes the following steps:
  • the preset algorithm is an existing conventional white balance algorithm, which is used as the basic algorithm used in the processing process to perform advanced processing on the acquired preview image.
  • the preview image is further processed according to the relevant parameters corresponding to the successfully obtained environmental information, so as to improve the shortcomings of insufficient restoration of the preset algorithm.
  • FIG. 5 is a schematic flowchart of a fifth embodiment of the photographing method of the present application. The method includes the following steps:
  • the shooting module When the user selects the shooting instruction of the shooting module, the shooting module will display a shooting preview interface, which is used to display the preview image of the scene obtained by the current terminal device without image algorithm processing.
  • S52 Perform white balance calibration processing on the preview image by using a preset algorithm.
  • the preset algorithm is an existing conventional white balance algorithm, which is used as the basic algorithm used in the processing process to perform advanced processing on the acquired preview image. After processing, the preview image that has undergone conventional white balance calibration processing can be displayed in the preview interface.
  • the shooting module After obtaining the preview image of the scene, the shooting module will obtain the location information, time information and weather information of the environment, etc. from the terminal device's own system, and use it for white balance calibration to judge the color of the actual scene.
  • the time information is that the terminal device obtains its own system time and is determined according to the system time.
  • the system time can also be obtained through clock applications.
  • the location information is obtained by obtaining map information sent by a map application program, such as GPS, etc., and is determined according to the map information.
  • the weather information is obtained by obtaining the weather information sent by the weather application.
  • the judgment of the time information can also be based on the current location information.
  • the terminal device will determine the current time information as four o'clock.
  • S54 Perform white balance calibration processing on the preview image according to the environment information.
  • the environmental information is provided to the white balance calibration process, and the preview image that has been processed by the preset algorithm is further processed according to the relevant parameters corresponding to the successfully acquired environmental information to assist in the preview.
  • the preset white balance algorithm performs more accurate image scene color restoration operation.
  • FIG. 6 is a schematic flowchart of a sixth embodiment of the photographing method of the present application. The method includes the following steps:
  • the shooting module When the user selects the shooting instruction of the shooting module, the shooting module will display a shooting preview interface, which is used to display the preview image of the scene that has not been processed by the image algorithm or the preview image that has only been processed by the preset algorithm.
  • the preview interface can also reserve a place to display the environmental information that it may need to obtain, as well as a corresponding obtain button. Such as location information, time information and weather information. It may also include selecting the environment information, selecting which environment information to obtain or which environment information to discard. It may also include adjusting certain environmental information, for example, adjusting the time information from morning to afternoon. The operation of selecting and adjusting can be realized by clicking on the pop-up window or drop-down list, etc., and there is no limitation here, as long as the corresponding functions can be realized.
  • the shooting module may automatically obtain the current environment information.
  • the information may also be acquired based on the user's click operation on the environment information acquisition button in the preview interface.
  • the time information may be information of multiple time segments divided based on time points. From 0:00 to 5:00 is early morning, from 5:00 to 8:00 is morning, from 8:00 to 11:00 is morning, from 11:00 to 14:00 is noon, from 14:00 to 18 One o'clock in the afternoon, eighteen o'clock to twenty-four o'clock in the evening.
  • the divided time periods can be the same or different, and the number of categories can be increased or decreased according to the actual situation. It can also directly be accurate time point information.
  • the location information can be divided into various situations such as indoor, outdoor, city, forest, etc., which are set according to the actual situation.
  • the weather information does not need to be further divided, for example, cloudy days, sunny days, heavy rain, heavy snow, etc., are displayed according to the obtained ones.
  • S64 Determine the selected target information in the environment information in response to the selection instruction.
  • the selection instruction may be a selection for the successfully obtained environment information, and the user may choose to discard or keep it. For the environmental information that has not been obtained successfully, the user can choose to continue to obtain.
  • the selection instruction may be a specific selection for environmental information. After acquiring the environmental information, if the user feels that the automatically acquired environmental information is not very accurate, he may select the corresponding environmental information by himself. For example, the afternoon adjustment of the time information is selected as evening.
  • the self-selection instruction can also be directly operated by the user, without the prior operation of acquiring environment information.
  • the environment information can be directly selected by the user without the need for the system to perform an acquisition operation.
  • S65 Perform white balance calibration processing on the preview image according to the target information.
  • the target information is provided to the white balance calibration process, and the preview image is further processed according to the relevant parameters corresponding to the target information, assisting the preset white balance algorithm to produce a more accurate image Scene color restoration operation.
  • FIG. 7 is a schematic flowchart of a seventh embodiment of the photographing method of the present application. The method includes the following steps:
  • the shooting module When the user selects the shooting instruction of the shooting module, the shooting module will display a shooting preview interface, which is used to display the preview image of the scene that has not been processed by the image algorithm or the preview image that has only been processed by the preset algorithm.
  • the shooting module After obtaining the preview image of the scene, the shooting module will obtain the location information, time information and weather information of the environment, etc. from the terminal device's own system, and use it for white balance calibration to judge the color of the actual scene.
  • the time information is that the terminal device obtains its own system time and is determined according to the system time.
  • the system time can also be obtained through clock applications.
  • the location information is obtained by obtaining map information sent by a map application program, such as GPS, etc., and is determined according to the map information.
  • the weather information is obtained by obtaining the weather information sent by the weather application.
  • the judgment of the time information may also be based on the current location information.
  • S73 Perform white balance calibration processing on the preview image according to the environment information.
  • the photographing module photographs the current image, obtains an image or video, and saves it in a local storage space.
  • FIG. 8 is a schematic structural diagram of the first embodiment of the electronic device of the present application.
  • the electronic device includes: a processor 110 and a memory 120 .
  • the processor 110 controls operations of the electronic device, and the processor 110 may also be called a CPU (Central Processing Unit, central processing unit).
  • the processor 110 may be an integrated circuit chip, capable of processing signal sequences.
  • the processor 110 can also be a general-purpose processor, a digital signal sequence processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
  • DSP digital signal sequence processor
  • ASIC application-specific integrated circuit
  • FPGA field-programmable gate array
  • a general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like.
  • the memory 120 stores instructions and data required for the processor 110 to work.
  • the processor 110 is configured to execute instructions to implement the method provided by any one and possible combinations of the first to seventh embodiments of the photographing method in this application.
  • FIG. 9 is a schematic structural diagram of a first embodiment of a readable storage medium of the present application.
  • the readable storage medium includes a memory 210, and the memory 210 stores program data.
  • the program data is executed, the method provided by any one and possible combinations of the first to seventh embodiments of the photographing method of the present application is implemented.
  • the memory 210 may include a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a flash memory (Flash Memory), a hard disk, an optical disk, and the like.
  • ROM read-only memory
  • RAM random access memory
  • flash Memory flash memory
  • the disclosed methods and devices may be implemented in other ways.
  • the device implementation described above is only illustrative.
  • the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods.
  • multiple units or components can be Incorporation may either be integrated into another system, or some features may be omitted, or not implemented.
  • the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit.
  • the above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.
  • the integrated units in the above other embodiments are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium.
  • the technical solution of the present application is essentially or part of the contribution to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) execute all or part of the steps of the methods described in various embodiments of the present application.
  • the aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disc, etc., which can store program codes. .

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Abstract

本申请公开了一种拍照方法。该方法包括：响应于第一拍照指令，显示预览界面；其中，预览界面中至少包括获取的预览图像；获取当前的环境信息；其中，环境信息至少包括时间信息、位置信息和天气信息中的至少一种；根据环境信息对预览图像进行白平衡校准处理。本申请还公开了一种电子设备和一种计算机可读存储介质。通过上述方式，本申请可使得拍摄出的图像色彩更接近实际的场景色彩。

Description

拍照方法、电子设备以及计算机可读存储介质
本申请要求申请号为2021113620178的中国专利申请的优先权，其内容通过引用结合在本申请中。
【技术领域】
本申请涉及图像处理领域，特别是涉及一种拍照方法、电子设备以及计算机可读存储介质。
【背景技术】
数据照相机和数字摄影机等在使用图像传感器的拍摄设备都具有白平衡功能以调整所拍摄的图像的色调。因为物体的反射出的光彩颜色是根据光源的色彩而定的，人类的眼睛之所以在阳光、雾霾、荧光、室内外等各种条件下将白色物体依旧看为白色，是因为人类的视觉系统可以自我适应，根据外界环境进行调节。而拍摄设备的感光元件就不存在这种适应功能了，为了贴近人类的视觉标准，拍摄设备必须模仿人类视觉系统根据光线来调整图像的色调，也就需要自动或手动白平衡功能来使图像达到满意的色调。
常规的白平衡的算法有很多种，一般有灰度世界法、完美反射法、动态阈值法。而手机的拍摄功能组件中一般使用灰度世界法。该方法以灰度世界假设为基础，该假设认为，对于一副有着大量色彩的图像，其RGB分量的平均值趋于同一灰度值。物理意义上讲，该方法就是假设自然界景物对于光线的平均反射的均值在总体上是个定值。该算法分为三步：计算RGB通道的平均灰度、计算RGB通道的增益系数、将原始值乘以增益系数。但使用该方法在不同的天气状况、室内外、白天夜晚等各种环境下时，其自动白平衡校准容易出现误差，不能完整的还原实际的场景色彩。
【发明内容】
本申请主要目的是，提供一种拍照方法、电子设备以及计算机可读 存储介质，能够解决白平衡校准因环境多变而不能准确地进行场景的色彩还原的技术问题。
为解决上述技术问题，本申请采用的第一个技术方案是：提供一种拍照方法。该方法包括：响应于第一拍照指令，显示预览界面；其中，预览界面中至少包括获取的预览图像；获取当前的环境信息；其中，环境信息至少包括时间信息、位置信息和天气信息中的至少一种；根据环境信息对预览图像进行白平衡校准处理。
为解决上述技术问题，本申请采用的第二个技术方案是：提供一种电子设备。该电子设备包括存储器和处理器，存储器用于存储程序数据，程序数据能够被处理器执行，以实现如第一个技术方案所述的方法。
为解决上述技术问题，本申请采用的第三个技术方案是：提供一种计算机可读存储介质。该计算机可读存储介质存储有程序数据，能够被处理器执行以实现如第一个技术方案所述的方法。
本申请的有益效果是：通过获取设备当前所处的环境信息，将环境信息与白平衡算法相结合，使得即使处于各种环境条件下，白平衡过程依旧可以更准确的判定当前环境的光线情况，场景的实际色彩情况，从而将获取的预览图像的色彩还原为更接近实际的场景色彩。
【附图说明】
为了更清楚地说明本发明实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是本申请拍照方法第一实施例的流程示意图；
图2是本申请拍照方法第二实施例的流程示意图；
图3是本申请拍照方法第三实施例的流程示意图；
图4是本申请拍照方法第四实施例的流程示意图；
图5是本申请拍照方法第五实施例的流程示意图；
图6是本申请拍照方法第六实施例的流程示意图；
图7是本申请拍照方法第七实施例的流程示意图；
图8是本申请电子设备一实施例的结构示意图；
图9是本申请计算机可读存储介质一实施例的结构示意图。
【具体实施方式】
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅是本申请的一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
本申请中的术语“第一”、“第二”等是用于区别不同对象，而不是用于描述特定顺序。此外，术语“包括”和“具有”以及它们任何变形，意图在于覆盖不排他的包含。例如包含了一系列步骤或单元的过程、方法、系统、产品或设备没有限定于已列出的步骤或单元，而是可选地还包括没有列出的步骤或单元，或可选地还包括对于这些过程、方法、产品或设备固有的其它步骤或单元。
在本文中提及“实施例”意味着，结合实施例描述的特定特征、结构或特性可以包含在本申请的至少一个实施例中。在说明书中的各个位置出现该短语并不一定均是指相同的实施例，也不是与其它实施例互斥的独立的或备选的实施例。本领域技术人员显式地和隐式地理解的是，本文所描述的实施例可以与其它实施例相结合。
如图1所示，图1为本申请拍照方法第一实施例的流程示意图。该方法包括以下步骤：
S11：响应于第一拍照指令，显示预览界面。
当用户选择了拍摄模块的拍摄指令时，拍摄模块会显示一拍摄预览界面，用于显示当前终端设备获取未经过图像算法处理的场景的预览图像。
S12：获取当前的环境信息。
在获取场景的预览图像后，拍摄模块会从终端设备的自身系统中获取所处的环境的位置信息、时间信息和天气信息等，用于白平衡校准的 对实际场景的色彩判定。其中，时间信息为终端设备获取自身的系统时间，根据系统时间确定得到。系统时间也可以是通过时钟类应用程序获取到的。位置信息为获取地图类应用程序，例如GPS等发送的地图信息，根据地图信息确定得到。天气信息为获取天气类应用程序发送的天气信息得到。另外，时间信息的判断还可以依据当前的位置信息，比如，若此时终端设备的系统时间为东八区、八点整，而此时位置信息可得终端设备所处时区为东四区，则终端设备会将当前的时间信息确定为四点整。
S13：根据环境信息对预览图像进行白平衡校准处理。
根据环境信息可确定不同的光线状况，从而更准确地判定当前场景的实际色彩情况。在使用白平衡校准对获取的预览图像进行处理时，还原得到的图像就会更符合人类视觉系统的观察成像。
通过本实施例，通过获取设备当前所处的环境信息，将环境信息与白平衡算法相结合，使得即使处于各种环境条件下，白平衡过程依旧可以更准确的判定当前环境的光线情况，场景的实际色彩情况，从而还原出实际的场景色彩。并且将根据环境信息的辅助调整过程直接加入至拍照的过程中，使得用户在拍摄过程中即可观察到最佳的光影色彩效果，进而拍摄出符合用户需要的图像或视频。
本实施例中获取当前环境信息以及根据环境信息对预览图像进行白平衡处理的过程可通过以下几个实施例进行详细描述。
如图2所示，图2为本申请拍照方法第二实施例的流程示意图。该方法包括以下步骤：
S21：响应于第一拍照指令，显示预览界面。
当用户选择了拍摄模块的拍摄指令时，拍摄模块会显示一拍摄预览界面，用于显示当前终端设备获取未经过图像算法处理的场景的预览图像。
S22：获取当前的环境信息。
在获取场景的预览图像后，拍摄模块会从终端设备的自身系统中获取所处的环境的位置信息、时间信息和天气信息等，用于白平衡校准的 对实际场景的色彩判定。其中，时间信息为终端设备获取自身的系统时间，根据系统时间确定得到。系统时间也可以是通过时钟类应用程序获取到的。位置信息为获取地图类应用程序,例如GPS等发送的地图信息，根据地图信息确定得到。天气信息为获取天气类应用程序发送的天气信息得到。另外，时间信息的判断还可以依据当前的位置信息，比如，若此时终端设备的系统时间为东八区、八点整，而此时位置信息可得终端设备所处时区为东四区，则终端设备会将当前的时间信息确定为四点整。
该时间信息可以是基于时间点划分为的多个时间段信息。如何零点整至五点整为凌晨、五点整至八点整为早晨、八点整至十一点整为上午、十一点整至十四点整为中午、十四点整至十八点整为下午、十八点整至二十四点整为晚上。其划分的时间段可相同或不同，划分的种类数量可依照实际情况进行增加或减少。也可以是直接是准确的时间点信息。
类似地，位置信息可分为室内、室外、城市、森林等等各种情况，具体依照实际情况进行设定。而天气信息无需再划分，例如，阴天、晴天、大雨、大雪等，依照获取的进行后续处理即可。
S23：确定环境信息是否获取成功。
在进行获取环境信息的操作之后，拍摄模块会判断是否获取到了所需要的环境信息。当获取到了所需要的环境信息时，执行步骤S24。否则，执行S25。
S24：根据环境信息对预览图像进行白平衡校准处理。
成功获取到环境信息之后，将环境信息提供至白平衡校准过程。辅助预设的白平衡算法进行更为准确的图像场景色彩还原操作。若只获取到部分的环境信息，则只将获取成功的环境信息提供至白平衡校准过程，未获取成功的环境信息不予考虑。
S25：采用预设算法对预览图像进行白平衡校准处理。
若未成功获取到环境信息，则使用预设的白平衡算法进行图像场景色彩还原，不考虑未获取到的环境因素的影响。该预设的白平衡算法为现有的常规的白平衡算法。可以是拍摄模块中或所使用的终端设备中平 台所使用的常规白平衡算法。
如图3所示，图3为本申请拍照方法第三实施例的流程示意图。该实施例是对第二实施例中步骤S23的进一步扩展。该方法包括以下步骤：
S31：设定一次数阈值。
可为拍摄模块、终端设备的自身系统或其他相关应用设定一个或多个计数器。并且在计数器中设定一次数阈值，该次数为拍摄模块从终端设备的自身系统或其他应用中获取信息的次数。拍摄模块每向终端设备的系统或其他应用请求获取一次信息就会在计数器上加一。
S32：获取环境信息的获取次数。
获取计数器中获取请求的获取次数。
S33：判断环境信息的获取次数是否小于或等于次数阈值。
拍摄模块或者是终端设备在拍摄模块向终端设备的系统或其他相关应用请求获取信息时会判断，此次获取请求为拍摄模块向系统或其他相关应用的第几次请求，并与事先设定的次数阈值进行比较。若未小于或等于该次数阈值，则执行步骤S34。否则执行步骤S35。
S34：确定环境信息获取不成功。
若在该请求次数未小于或等于该次数阈值的情况下，则表明拍摄模块在设定的次数内未获取到环境信息，确定环境信息获取不成功。
S35：是否获取到环境信息。
若该请求次数小于或等于该次数阈值，则需要进一步判断该拍摄模块是否获取到了所需要的环境信息。若获取到了所需要的环境信息，则执行步骤S36。否则执行步骤S32，在拍摄模块下一次获取请求的时候再次进行判断。
S36：获取环境信息成功。
在该请求次数小于或等于该次数阈值的情况下，拍摄模块获取到了所需要的环境信息，则表明在设定的次数内获取到环境信息，确定环境信息获取成功。
如图4所示，图4为本申请拍照方法第四实施例的流程示意图，该实施例为对第二实施例中步骤S24的进一步扩展。该方法包括以下步骤：
S41：采用预设算法作为主算法对预览图像进行实时白平衡校准处理。
预设算法为现有的常规的白平衡算法，将其作为该处理过程所使用的基础算法对获取的预览图像进行先行处理。
S42：根据环境信息对预览图像进行辅助白平衡校准处理。
在处理过程中，根据成功获取到的环境信息所对应的相关参数对预览图像进行进一步的处理，以完善预设算法还原程度不足的缺点。
该两步骤不限定其执行的先后顺序，其可按顺序前后执行，也可同时进行。
如图5所示，图5为本申请拍照方法第五实施例的流程示意图。该方法包括以下步骤：
S51：响应于第一拍照指令，显示预览界面。
当用户选择了拍摄模块的拍摄指令时，拍摄模块会显示一拍摄预览界面，用于显示当前终端设备获取未经过图像算法处理的场景的预览图像。
S52：采用预设算法对预览图像进行白平衡校准处理。
预设算法为现有的常规的白平衡算法，将其作为该处理过程所使用的基础算法对获取的预览图像进行先行处理。处理过后可将进行了常规白平衡校准处理的预览图像显示在预览界面中。
S53：获取当前的环境信息。
在获取场景的预览图像后，拍摄模块会从终端设备的自身系统中获取所处的环境的位置信息、时间信息和天气信息等，用于白平衡校准的对实际场景的色彩判定。其中，时间信息为终端设备获取自身的系统时间，根据系统时间确定得到。系统时间也可以是通过时钟类应用程序获取到的。位置信息为获取地图类应用程序,例如GPS等发送的地图信息，根据地图信息确定得到。天气信息为获取天气类应用程序发送的天气信息得到。另外，时间信息的判断还可以依据当前的位置信息，比如，若此时终端设备的系统时间为东八区、八点整，而此时位置信息可得终端设备所处时区为东四区，则终端设备会将当前的时间信息确定为四点 整。
S54：根据环境信息对预览图像进行白平衡校准处理。
在成功获取到了需要的环境信息之后，将环境信息提供至白平衡校准过程，根据成功获取到的环境信息所对应的相关参数对已经过预设算法基础处理的预览图像进行进一步的处理，辅助预设的白平衡算法进行更为准确的图像场景色彩还原操作。
如图6所示，图6为本申请拍照方法第六实施例的流程示意图。该方法包括以下步骤：
S61：响应于第一拍照指令，显示预览界面。
当用户选择了拍摄模块的拍摄指令时，拍摄模块会显示一拍摄预览界面，用于显示当前终端设备获取未经过图像算法处理的场景的预览图像或仅经过预设算法进行处理的预览图像。
该预览界面还可预留位置显示其可能需要获取的环境信息，以及相应的获取按钮。例如位置信息、时间信息和天气信息等。还可包括对环境信息进行选择，选择获取哪种环境信息或舍弃哪种环境信息。还可包括对某种环境信息进行调整，例如，将时间信息的早上调整为下午。选择调整的操作可通过点击出现弹窗或下拉列表等的操作实现，在此不做限定，可实现相应的功能即可。
S62：获取当前的环境信息。
在显示预览界面后，可以是拍摄模块自动获取当前的环境信息。也可以是基于用户对预览界面中的环境信息的获取按钮的点击操作进行信息的获取。
S63：在预览界面显示环境信息。
获取环境信息之后，获取成功的环境信息会显示在预览界面中，未获取成功的环境信息则显示未获取成功或不显示。其中，时间信息可以是基于时间点划分为的多个时间段信息。如何零点整至五点整为凌晨、五点整至八点整为早晨、八点整至十一点整为上午、十一点整至十四点整为中午、十四点整至十八点整为下午、十八点整至二十四点整为晚上。其划分的时间段可相同或不同，划分的种类数量可依照实际情况进行增 加或减少。其也可以直接是准确的时间点信息。类似地，位置信息可分为室内、室外、城市、森林等等各种情况，具体依照实际情况进行设定。而天气信息无需再划分，例如，阴天、晴天、大雨、大雪等，依照获取的进行显示。
S64：响应于选择指令，确定环境信息中选择的目标信息。
选择指令可以是针对获取成功的环境信息的选择，用户可选择舍弃或保留。针对未获取成功的环境信息，用户可以选择继续进行获取。
选择指令可以是针对环境信息的具体的选择。在获取环境信息后，若用户感觉自动获取的环境信息不是十分准确，可自行对相应的环境信息进行选择。比如将时间信息的下午调整选择为晚上。
该自行选择指令也可直接由用户进行操作，无需在之前进行环境信息的获取操作。即可直接由用户选择环境信息，而无需系统进行获取操作。
S65：根据目标信息对预览图像进行白平衡校准处理。
根据最终确定保留的环境信息作为目标信息，将目标信息提供至白平衡校准过程，根据目标信息所对应的相关参数对预览图像进行进一步的处理，辅助预设的白平衡算法进行更为准确的图像场景色彩还原操作。
如图7所示，图7为本申请拍照方法第七实施例的流程示意图。该方法包括以下步骤：
S71：响应于第一拍照指令，显示预览界面。
当用户选择了拍摄模块的拍摄指令时，拍摄模块会显示一拍摄预览界面，用于显示当前终端设备获取未经过图像算法处理的场景的预览图像或仅经过预设算法进行处理的预览图像。
S72：获取当前的环境信息。
在获取场景的预览图像后，拍摄模块会从终端设备的自身系统中获取所处的环境的位置信息、时间信息和天气信息等，用于白平衡校准的对实际场景的色彩判定。其中，时间信息为终端设备获取自身的系统时间，根据系统时间确定得到。系统时间也可以是通过时钟类应用程序获 取到的。位置信息为获取地图类应用程序,例如GPS等发送的地图信息，根据地图信息确定得到。天气信息为获取天气类应用程序发送的天气信息得到。另外，时间信息的判断还可以依据当前的位置信息。
S73：根据环境信息对预览图像进行白平衡校准处理。
在成功获取到了需要的环境信息之后，将环境信息提供至白平衡校准过程，根据成功获取到的环境信息所对应的相关参数对预览图像进行进一步的处理，辅助预设的白平衡算法进行更为准确的图像场景色彩还原操作。
S74：响应于第二拍照指令，将当前的预览图像进行保存，以得到拍照图像。
在所得的图像满足用户的需求时，用户会进行操作以触发第二拍照指令。该操作可以是点击操作或语音触发。根据该第二拍照指令，拍摄模块对当前图像进行拍摄，得到图像或视频，将其保存至本地存储空间中。
如图8所示，图8为本申请电子设备第一实施例的结构示意图。该电子设备包括：处理器110和存储器120。
处理器110控制电子设备的操作，处理器110还可以称为CPU(Central Processing Unit，中央处理单元)。处理器110可能是一种集成电路芯片，具有信号序列的处理能力。处理器110还可以是通用处理器、数字信号序列处理器(DSP)、专用集成电路(ASIC)、现场可编程门阵列(FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。
存储器120存储处理器110工作所需要的指令和数据。
处理器110用于执行指令以实现本申请中拍照方法第一至第七实施例中任一项及可能的组合所提供的方法。
如图9所示，图9为本申请可读存储介质第一实施例的结构示意图。该可读存储介质包括存储器210，存储器210存储有程序数据，该程序数据被执行时实现本申请拍照方法第一至第七实施例中任一项及可能 的组合所提供的方法。
存储器210可以包括只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、闪存(Flash Memory)、硬盘、光盘等。
在本申请所提供的几个实施方式中，应该理解到，所揭露的方法以及设备，可以通过其它的方式实现。例如，以上所描述的设备实施方式仅仅是示意性的，例如，所述模块或单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施方式方案的目的。
另外，在本申请各个实施方式中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
上述其他实施方式中的集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)或处理器(processor)执行本申请各个实施方式所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述仅为本申请的实施例，并非因此限制本申请的专利范围，凡是利用本申请说明书及附图内容所作的等效结构或等效流程变换，或 直接或间接运用在其他相关的技术领域，均同理包括在本申请的专利保护范围内。

Claims (10)

  1. 一种拍照方法，其特征在于，所述方法包括：
    响应于第一拍照指令，显示预览界面；其中，所述预览界面中至少包括获取的预览图像；
    获取当前的环境信息；其中，所述环境信息至少包括时间信息、位置信息和天气信息中的至少一种；
    根据所述环境信息对所述预览图像进行白平衡校准处理。
  2. 根据权利要求1所述的方法，其特征在于，
    所述获取当前的环境信息，包括：
    获取系统时间，根据所述系统时间确定当前的时间信息；和/或
    获取地图类应用程序发送的地图信息，根据所述地图信息确定当前的位置信息；和/或
    获取天气类应用程序发送的天气信息。
  3. 根据权利要求1或2所述的方法，其特征在于，
    所述时间信息包括多个基于时间点划分的多个时间段中的一个，所述位置信息包括室内、室外中的一种。
  4. 根据权利要求1所述的方法，其特征在于，
    所述获取当前的环境信息之后，包括：
    确定所述环境信息是否获取成功；
    若所述环境信息获取成功，则执行所述根据所述环境信息对所述预览图像进行白平衡校准处理；
    若所述环境信息获取不成功，则采用预设算法对所述预览图像进行白平衡校准处理。
  5. 根据权利要求4所述的方法，其特征在于，
    所述确定所述环境信息是否获取成功，包括：
    若在设定次数内获取到所述环境信息，则确定所述环境信息获取成功；或
    若在所述设定次数内未获取到所述环境信息，则确定所述环境信息 获取不成功。
  6. 根据权利要求4所述的方法，其特征在于，
    所述根据所述环境信息对所述预览图像进行白平衡校准处理，包括：
    采用所述预设算法作为主算法对所述预览图像进行实时白平衡校准处理，以及根据所述环境信息对所述预览图像进行辅助白平衡校准处理。
  7. 根据权利要求1所述的方法，其特征在于，
    所述获取当前的环境信息之后，还包括：
    在所述预览界面显示所述环境信息；
    响应于选择指令，确定所述环境信息中选择的目标信息；
    所述根据所述环境信息对所述预览图像进行白平衡校准处理，包括：
    根据所述目标信息对所述预览图像进行白平衡校准处理。
  8. 根据权利要求1所述的方法，其特征在于，
    所述根据所述环境信息对所述预览图像进行白平衡校准处理之后，还包括：
    响应于第二拍照指令，将当前的所述预览图像进行保存，以得到拍照图像。
  9. 一种电子设备，其特征在于，包括存储器和处理器，所述存储器用于存储程序数据，所述程序数据能够被所述处理器执行，以实现如权利要求1-8中任一项所述的方法。
  10. 一种计算机可读存储介质，其特征在于，存储有程序数据，能够被处理器执行以实现权利要求1-8中任一项所述的方法。
PCT/CN2022/096015 2021-11-17 2022-05-30 拍照方法、电子设备以及计算机可读存储介质 WO2023087663A1 (zh)

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