WO2018228310A1 - 图像处理方法、装置及终端 - Google Patents

图像处理方法、装置及终端 Download PDF

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Publication number
WO2018228310A1
WO2018228310A1 PCT/CN2018/090590 CN2018090590W WO2018228310A1 WO 2018228310 A1 WO2018228310 A1 WO 2018228310A1 CN 2018090590 W CN2018090590 W CN 2018090590W WO 2018228310 A1 WO2018228310 A1 WO 2018228310A1
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Prior art keywords
exposure compensation
image
processed
image processing
calculating
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PCT/CN2018/090590
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English (en)
French (fr)
Inventor
曾元清
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Oppo广东移动通信有限公司
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Application filed by Oppo广东移动通信有限公司 filed Critical Oppo广东移动通信有限公司
Priority to EP18818478.2A priority Critical patent/EP3627440B1/en
Publication of WO2018228310A1 publication Critical patent/WO2018228310A1/zh
Priority to US16/706,659 priority patent/US11151700B2/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/90—Dynamic range modification of images or parts thereof
    • G06T5/94—Dynamic range modification of images or parts thereof based on local image properties, e.g. for local contrast enhancement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/90—Dynamic range modification of images or parts thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/90—Dynamic range modification of images or parts thereof
    • G06T5/92—Dynamic range modification of images or parts thereof based on global image properties
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H04N23/741—Circuitry for compensating brightness variation in the scene by increasing the dynamic range of the image compared to the dynamic range of the electronic image sensors
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10028—Range image; Depth image; 3D point clouds
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20172—Image enhancement details
    • G06T2207/20208—High dynamic range [HDR] image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30196—Human being; Person
    • G06T2207/30201—Face
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/50—Constructional details
    • H04N23/51—Housings

Definitions

  • the present invention relates to the field of terminal technologies, and in particular, to an image processing method, apparatus, and terminal.
  • the brightness of the reflected light will be different under illumination of light sources of different brightness. Based on this, when the image acquisition device collects an image, it is affected by the light source in the environment, and the brightness value of each pixel point is deviated to some extent in the acquired image.
  • the present invention aims to solve at least one of the technical problems in the related art to some extent.
  • a first object of the present invention is to provide an image processing method for realizing accurate restoration of the brightness of a portrait and a background in an image for solving the phenomenon of portrait or backlight in the prior art.
  • An underexposure and a noticeably darker brightness result in poor visual effects.
  • a second object of the present invention is to provide an image processing apparatus.
  • a third object of the present invention is to propose a terminal.
  • a fourth object of the present invention is to provide a non-transitory computer readable storage medium.
  • a fifth object of the present invention is to provide a computer program product.
  • an embodiment of the first aspect of the present invention provides an image processing method, including:
  • the image to be processed is processed according to the final exposure compensation.
  • the image processing method of the embodiment of the present invention calculates the final exposure compensation by separately calculating the second exposure compensation of the portrait portion in the image to be processed, and calculating the first exposure compensation corresponding to the global image to be processed, and processes the processing according to the final exposure compensation.
  • the image is processed to achieve accurate restoration of the brightness of the portrait and the background in the image, thereby avoiding the problem that the portrait in the image is underexposed and the brightness is obviously dark under the condition of backlight or backlight, and the visual effect is improved.
  • the image processing method of the embodiment of the present invention further has the following additional technical features:
  • the calculating the final exposure compensation according to the first exposure compensation and the second exposure compensation comprises:
  • the image processing method further includes:
  • Extracting the portrait portion in the image to be processed according to the depth of field Extracting the portrait portion in the image to be processed according to the depth of field.
  • the image processing method further includes:
  • the step of acquiring the depth of field of the image to be processed is performed.
  • the calculating the final exposure compensation according to the first exposure compensation and the second exposure compensation comprises:
  • the first exposure compensation and the second exposure compensation are weighted and summed to obtain the final exposure compensation.
  • the weighting and summing the first exposure compensation and the second exposure compensation to obtain the final exposure compensation includes:
  • An average value of the first exposure compensation and the second exposure compensation is calculated, and the average value is used as the final exposure compensation.
  • an image processing apparatus including:
  • a first calculating module configured to calculate a first exposure compensation globally of the image to be processed
  • a second calculating module configured to calculate a second exposure compensation of the portrait portion in the image to be processed
  • a third calculating module configured to calculate a final exposure compensation according to the first exposure compensation and the second exposure compensation
  • a processing module configured to process the image to be processed according to the final exposure compensation.
  • the image processing apparatus calculates the final exposure compensation by separately calculating the second exposure compensation of the portrait portion in the image to be processed, and calculating the first exposure compensation globally in combination with the image to be processed, and processes the processing according to the final exposure compensation.
  • the image is processed to achieve accurate restoration of the brightness of the portrait and the background in the image, thereby avoiding the problem that the portrait in the image is underexposed and the brightness is obviously dark under the condition of backlight or backlight, and the visual effect is improved.
  • the image processing apparatus of the embodiment of the present invention further has the following additional technical features:
  • the third calculating module comprises:
  • a determining unit configured to respectively determine a first weight corresponding to the first exposure compensation and a second weight corresponding to the second exposure compensation according to an area ratio of the portrait portion to the image to be processed;
  • a calculating unit configured to add a product of the first exposure compensation and the first weight and a product of the second exposure compensation and the second weight to obtain the final exposure compensation.
  • the image processing apparatus further includes:
  • An acquiring module configured to acquire a depth of field of the image to be processed
  • an extraction module configured to extract the portrait portion in the image to be processed according to the depth of field.
  • the device further includes:
  • a detecting module configured to perform face detection on the image to be processed
  • a triggering module configured to trigger the acquiring module to perform a depth of field step of acquiring the image to be processed if the image to be processed includes a human face.
  • the third calculating module is specifically configured to:
  • the first exposure compensation and the second exposure compensation are weighted and summed to obtain the final exposure compensation.
  • the third calculating module is specifically configured to:
  • An average value of the first exposure compensation and the second exposure compensation is calculated, and the average value is used as the final exposure compensation.
  • a third aspect of the present invention provides a terminal comprising one or more of the following components: a housing and a processor, a memory and a camera module located in the housing, wherein the camera module a group for acquiring a to-be-processed image, the processor running a program corresponding to the executable program code by reading executable program code stored in the memory, to cause the processor to execute an embodiment of the present invention An image processing method provided on the one hand.
  • a fourth aspect of the present invention provides a non-transitory computer readable storage medium, which enables execution of the first aspect of the embodiments of the present invention when instructions in the storage medium are executed by a processor The image processing method provided.
  • a fifth aspect of the present invention provides a computer program product, which, when executed by an instruction processor in the computer program product, performs an image processing method provided by the first aspect of the embodiments of the present invention.
  • FIG. 1 is a schematic flowchart of an image processing method according to an embodiment of the present invention.
  • FIG. 2 is a schematic flowchart diagram of another image processing method according to an embodiment of the present disclosure.
  • FIG. 3 is a schematic structural diagram of an image processing apparatus according to an embodiment of the present invention.
  • FIG. 4 is a schematic structural diagram of another image processing apparatus according to an embodiment of the present invention.
  • FIG. 5 is a schematic structural diagram of a terminal according to an embodiment of the present invention.
  • FIG. 6 is a schematic structural diagram of another terminal according to an embodiment of the present invention.
  • FIG. 1 is a schematic flowchart diagram of an image processing method according to an embodiment of the present invention.
  • the image processing method of the embodiment of the present invention can be applied to various existing terminals (for example, tablet computers, notebook computers, personal computers, smart phones, etc.). As shown in FIG. 1, the image processing method includes the following operations:
  • Block 101 calculating a first exposure compensation global to the image to be processed.
  • the photometric processing is performed globally on the image to be processed, and the first exposure compensation T gain globally of the image to be processed can be calculated by using various existing exposure compensation methods (for example, an average value method and a maximum value method).
  • the average value is obtained for the luminance values of all the pixels of the entire image, and then the exposure compensation parameter is determined according to the average value, and then the obtained exposure compensation parameter is used for the image.
  • Exposure compensation processing is performed; when the image is subjected to exposure compensation processing by the maximum value method, the maximum value is obtained for the luminance values of all the pixels of the entire image, and then the exposure compensation parameter is determined according to the maximum value, and then the obtained The exposure compensation parameter performs exposure compensation processing on the image.
  • Block 102 calculating a second exposure compensation for the portrait portion of the image to be processed.
  • the photometric processing is performed on the portrait portion in the image to be processed, and the second exposure compensation F of the portrait portion in the image to be processed can be calculated by using various existing exposure compensation methods (for example, the average value method and the maximum value method). Gain .
  • Block 103 calculates a final exposure compensation based on the first exposure compensation and the second exposure compensation.
  • the final exposure compensation L gain is determined, and the average value L of the two may be specifically calculated.
  • the image to be processed is processed in accordance with the final exposure compensation.
  • the final exposure compensation L gain calculated according to the block 103 is subjected to exposure compensation processing to accurately restore the brightness of the portrait and the background in the image.
  • the exposure difference between the portrait and the background is comprehensively considered, and the second exposure compensation of the portrait portion in the image to be processed is separately calculated, and the final exposure compensation is calculated by combining the first exposure compensation globally of the image to be processed, according to The final exposure compensation process the image to be processed, realizing the accurate restoration of the brightness of the portrait and the background in the image, avoiding the problem that the portrait in the image is underexposed and the brightness is obviously dark under the condition of backlight or backlighting, and the problem is improved.
  • the visual effect is provided.
  • FIG. 2 is a schematic flowchart diagram of another image processing method according to an embodiment of the present invention. As shown in FIG. 2, the image processing method includes the following steps:
  • Block 201 calculating a first exposure compensation global to the image to be processed.
  • the block 201 is the same as the block 101 in the above embodiment, and details are not described herein again.
  • Block 202 calculating a second exposure compensation for the portrait portion of the image to be processed.
  • the block 202 is the same as the block 102 in the above embodiment, and details are not described herein again.
  • Block 103 in the above embodiment may specifically include the following blocks 203 and 204.
  • a first weight corresponding to the first exposure compensation and a second weight corresponding to the second exposure compensation are respectively determined according to an area ratio of the portrait portion to the image to be processed.
  • the product of the first exposure compensation and the first weight and the product of the second exposure compensation and the second weight are added to obtain a final exposure compensation.
  • Block 205 processing the image to be processed according to the final exposure compensation.
  • the present block 205 is the same as the block 104 in the above embodiment, and details are not described herein again.
  • the portrait portion in the image to be processed may be obtained by acquiring the depth of field of the image to be processed; and extracting the portrait portion in the image to be processed according to the depth of field.
  • the depth of field of the image to be processed can be obtained by using a dual-camera or RGBD camera, and the overall contour of the portrait in the image to be processed is extracted according to the depth of field, and the portrait part in the image to be processed is obtained.
  • the exposure difference between the portrait and the background is comprehensively considered, and the second exposure compensation of the portrait portion in the image to be processed is separately calculated, and the final exposure compensation is calculated by combining the first exposure compensation globally of the image to be processed, according to The final exposure compensation process the image to be processed, realizing the accurate restoration of the brightness of the portrait and the background in the image, avoiding the problem that the portrait in the image is underexposed and the brightness is obviously dark under the condition of backlight or backlighting, and the problem is improved.
  • the visual effect With the image processing method of the embodiment, the weight of the second exposure compensation of the portrait portion and the second exposure compensation of the image globally can be automatically set according to the area ratio of the portrait portion to the image to be processed, so as to achieve different scenarios.
  • the ground accurately restores the brightness of the portrait and background in the image.
  • FIG. 3 is a schematic structural diagram of an image processing apparatus according to an embodiment of the present invention.
  • the image processing apparatus includes a first calculation module 31, a second calculation module 32, a third calculation module 33, and a processing module 34.
  • the first calculating module 31 is configured to calculate a first exposure compensation globally of the image to be processed.
  • the second calculating module 32 is configured to calculate a second exposure compensation of the portrait portion in the image to be processed.
  • the third calculating module 33 is configured to calculate a final exposure compensation according to the first exposure compensation and the second exposure compensation.
  • the processing module 34 is configured to process the image to be processed according to the final exposure compensation.
  • the exposure difference between the portrait and the background is comprehensively considered, and the second exposure compensation of the portrait portion in the image to be processed is separately calculated, and the final exposure compensation is calculated by combining the first exposure compensation globally of the image to be processed, according to The final exposure compensation process the image to be processed, realizing the accurate restoration of the brightness of the portrait and the background in the image, avoiding the problem that the portrait in the image is underexposed and the brightness is obviously dark under the condition of backlight or backlighting, and the problem is improved.
  • the visual effect is provided.
  • FIG. 4 is a schematic structural diagram of another image processing apparatus according to an embodiment of the present invention.
  • the third calculating module 33 specifically includes:
  • the determining unit 331 is configured to respectively determine a first weight corresponding to the first exposure compensation and a second weight corresponding to the second exposure compensation according to an area ratio of the portrait portion to the image to be processed.
  • the calculating unit 332 is configured to add the product of the first exposure compensation and the first weight and the product of the second exposure compensation and the second weight to obtain a final exposure compensation.
  • the image processing apparatus may further include: an acquiring module, configured to acquire a depth of field of the image to be processed; and an extracting module, configured to extract, in the image to be processed according to the depth of field Portrait part.
  • the image processing apparatus may further include: a detecting module, configured to perform face detection on the image to be processed; and a triggering module, configured to include a person in the image to be processed The face triggers the acquisition module to perform a depth of field step of acquiring an image to be processed.
  • the exposure difference between the portrait and the background is comprehensively considered, and the second exposure compensation of the portrait portion in the image to be processed is separately calculated, and the final exposure compensation is calculated by combining the first exposure compensation globally of the image to be processed, according to The final exposure compensation process the image to be processed, realizing the accurate restoration of the brightness of the portrait and the background in the image, avoiding the problem that the portrait in the image is underexposed and the brightness is obviously dark under the condition of backlight or backlighting, and the problem is improved.
  • the visual effect is provided.
  • FIG. 5 is a schematic structural diagram of a terminal according to an embodiment of the present invention. As shown in FIG. 5, the terminal includes the image processing apparatus 51 in the above embodiment.
  • the exposure difference between the portrait and the background is comprehensively considered, and the second exposure compensation of the portrait portion in the image to be processed is separately calculated, and the final exposure compensation is calculated by combining the first exposure compensation globally of the image to be processed, according to The final exposure compensation process the image to be processed, realizing the accurate restoration of the brightness of the portrait and the background in the image, avoiding the problem that the portrait in the image is underexposed and the brightness is obviously dark under the condition of backlight or backlighting, and the problem is improved.
  • the visual effect is provided.
  • FIG. 6 is a schematic structural diagram of another terminal according to an embodiment of the present invention.
  • the terminal includes one or more components: a housing 61 and a processor 611 located in the housing 61, a memory 612, and a camera module 613, wherein the camera module 613 is configured to acquire a to-be-processed image.
  • the processor 611 runs a program corresponding to the executable program code by reading executable program code stored in the memory 612 to cause the processor 611 to execute the aforementioned image processing method, the image processing method including: calculating a global image to be processed First exposure compensation; calculating a second exposure compensation of the portrait portion in the image to be processed; calculating a final exposure compensation according to the first exposure compensation and the second exposure compensation; processing the image to be processed according to the final exposure compensation.
  • the exposure difference between the portrait and the background is comprehensively considered, and the second exposure compensation of the portrait portion in the image to be processed is separately calculated, and the final exposure compensation is calculated by combining the first exposure compensation globally of the image to be processed, according to The final exposure compensation process the image to be processed, realizing the accurate restoration of the brightness of the portrait and the background in the image, avoiding the problem that the portrait in the image is underexposed and the brightness is obviously dark under the condition of backlight or backlighting, and the problem is improved.
  • the visual effect is provided.
  • first and second are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated.
  • features defining “first” or “second” may include at least one of the features, either explicitly or implicitly.
  • the meaning of "a plurality” is at least two, such as two, three, etc., unless specifically defined otherwise.
  • a "computer-readable medium” can be any apparatus that can contain, store, communicate, propagate, or transport a program for use in an instruction execution system, apparatus, or device, or in conjunction with the instruction execution system, apparatus, or device.
  • computer readable media include the following: electrical connections (electronic devices) having one or more wires, portable computer disk cartridges (magnetic devices), random access memory (RAM), Read only memory (ROM), erasable editable read only memory (EPROM or flash memory), fiber optic devices, and portable compact disk read only memory (CDROM).
  • the computer readable medium may even be a paper or other suitable medium on which the program may be printed, as it may be optically scanned, for example by paper or other medium, followed by editing, interpretation or, if appropriate, in other suitable manners. Processing to obtain the program electronically and then storing it in computer memory.
  • portions of the invention may be implemented in hardware, software, firmware or a combination thereof.
  • multiple steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system.
  • a suitable instruction execution system For example, if implemented in hardware and in another embodiment, it can be implemented by any one or combination of the following techniques well known in the art: discrete with logic gates for implementing logic functions on data signals Logic circuits, application specific integrated circuits with suitable combinational logic gates, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), and the like.
  • each functional unit in each embodiment of the present invention may be integrated into one processing module, or each unit may exist physically separately, or two or more units may be integrated into one module.
  • the above integrated modules can be implemented in the form of hardware or in the form of software functional modules.
  • An integrated module can also be stored in a computer readable storage medium if it is implemented as a software functional module and sold or used as a standalone product.
  • the above mentioned storage medium may be a read only memory, a magnetic disk or an optical disk or the like.

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Abstract

本发明提出一种图像处理方法、装置及终端，其中，方法包括：计算待处理图像全局的第一曝光补偿；计算所述待处理图像中的人像部分的第二曝光补偿；根据所述第一曝光补偿和所述第二曝光补偿计算最终的曝光补偿；根据所述最终的曝光补偿对所述待处理图像进行处理。本实施例中，通过单独计算待处理图像中的人像部分的第二曝光补偿，并结合待处理图像全局的第一曝光补偿计算得到最终的曝光补偿，根据最终的曝光补偿对待处理图像进行处理，实现了对图像中的人像和背景的亮度的准确还原，避免了在背光或逆光条件下，图像中的人像发生曝光不足、亮度明显偏暗的问题，提高了视觉效果。

Description

图像处理方法、装置及终端
相关申请的交叉引用
本申请要求广东欧珀移动通信有限公司于2017年06月16日提交的、发明名称为“图像处理方法、装置及终端”的、中国专利申请号“201710459547.1”的优先权。
技术领域
本发明涉及终端技术领域，尤其涉及一种图像处理方法、装置及终端。
背景技术
对于同一个物体，在不同亮度的光源照射下，反射光的亮度也会不同。基于此，图像采集装置在采集图像时，会受到环境中光源的影响，导致采集到的图像中，各像素点的亮度值发生一定程度的偏差。
现有技术中，通常采用对图像全局进行曝光补偿处理的方法，对图像中各像素点的亮度值的偏差进行校正，使得采集到的图像的亮度维持原始的亮度不变。但在背光或逆光条件下采集图像时，采用全局曝光补偿处理后的图像中，人像部分受环境光的影响，会发生曝光不足、亮度明显偏暗的问题，导致视觉效果较差。
发明内容
本发明旨在至少在一定程度上解决相关技术中的技术问题之一。
为此，本发明的第一个目的在于提出一种图像处理方法，以实现对图像中的人像和背景的亮度的准确还原，用于解决现有技术中存在的在背光或逆光条件下，人像发生曝光不足、亮度明显偏暗导致视觉效果较差的问题。
本发明的第二个目的在于提出一种图像处理装置。
本发明的第三个目的在于提出一种终端。
本发明的第四个目的在于提出一种非临时性计算机可读存储介质。
本发明的第五个目的在于提出一种计算机程序产品。
为达上述目的，本发明第一方面实施例提出了一种图像处理方法，包括：
计算待处理图像全局的第一曝光补偿；
计算所述待处理图像中的人像部分的第二曝光补偿；
根据所述第一曝光补偿和所述第二曝光补偿计算最终的曝光补偿；
根据所述最终的曝光补偿对所述待处理图像进行处理。
本发明实施例的图像处理方法，通过单独计算待处理图像中的人像部分的第二曝光补偿，并结合待处理图像全局的第一曝光补偿计算得到最终的曝光补偿，根据最终的曝光补偿对待处理图像进行处理，实现了对图像中的人像和背景的亮度的准确还原，避免了在背光或逆光条件下，图像中的人像发生曝光不足、亮度明显偏暗的问题，提高了视觉效果。
另外，本发明实施例的图像处理方法，还具有如下附加的技术特征：
在本发明的一个实施例中，所述根据所述第一曝光补偿和所述第二曝光补偿计算最终的曝光补偿，包括：
根据所述人像部分占所述待处理图像的面积比例，分别确定所述第一曝光补偿对应的第一权重和所述第二曝光补偿对应的第二权重；
将所述第一曝光补偿和所述第一权重的乘积和所述第二曝光补偿和所述第二权重的乘积相加，得到所述最终的曝光补偿。
在本发明的一个实施例中，所述图像处理方法还包括：
获取所述待处理图像的景深；
根据所述景深提取所述待处理图像中的所述人像部分。
在本发明的一个实施例中，所述图像处理方法还包括：
对所述待处理图像进行人脸检测；
若所述待处理图像中包括人脸，则执行所述获取所述待处理图像的景深步骤。
在本发明的一个实施例中，所述根据所述第一曝光补偿和所述第二曝光补偿计算最终的曝光补偿，包括：
对所述第一曝光补偿和所述第二曝光补偿进行加权求和，得到所述最终的曝光补偿。
在本发明的一个实施例中，所述对所述第一曝光补偿和所述第二曝光补偿进行加权求和，得到所述最终的曝光补偿，包括：
计算所述第一曝光补偿和所述第二曝光补偿的平均值，并将所述平均值作为所述最终的曝光补偿。
为达上述目的，本发明第二方面实施例提出了一种图像处理装置，包括：
第一计算模块，用于计算待处理图像全局的第一曝光补偿；
第二计算模块，用于计算所述待处理图像中的人像部分的第二曝光补偿；
第三计算模块，用于根据所述第一曝光补偿和所述第二曝光补偿计算最终的曝光补偿；
处理模块，用于根据所述最终的曝光补偿对所述待处理图像进行处理。
本发明实施例的图像处理装置，通过单独计算待处理图像中的人像部分的第二曝光补偿，并结合待处理图像全局的第一曝光补偿计算得到最终的曝光补偿，根据最终的曝光补 偿对待处理图像进行处理，实现了对图像中的人像和背景的亮度的准确还原，避免了在背光或逆光条件下，图像中的人像发生曝光不足、亮度明显偏暗的问题，提高了视觉效果。
另外，本发明实施例的图像处理装置，还具有如下附加的技术特征：
在本发明的一个实施例中，所述第三计算模块包括：
确定单元，用于根据所述人像部分占所述待处理图像的面积比例，分别确定所述第一曝光补偿对应的第一权重和所述第二曝光补偿对应的第二权重；
计算单元，用于将所述第一曝光补偿和所述第一权重的乘积和所述第二曝光补偿和所述第二权重的乘积相加，得到所述最终的曝光补偿。
在本发明的一个实施例中，所述图像处理装置还包括：
获取模块，用于获取所述待处理图像的景深；
提取模块，用于根据所述景深提取所述待处理图像中的所述人像部分。
在本发明的一个实施例中，所述装置还包括：
检测模块，用于对所述待处理图像进行人脸检测；
触发模块，用于若所述待处理图像中包括人脸，则触发所述获取模块执行获取所述待处理图像的景深步骤。
在本发明的一个实施例中，所述第三计算模块，具体用于：
对所述第一曝光补偿和所述第二曝光补偿进行加权求和，得到所述最终的曝光补偿。
在本发明的一个实施例中，所述第三计算模块，具体用于：
计算所述第一曝光补偿和所述第二曝光补偿的平均值，并将所述平均值作为所述最终的曝光补偿。
为达上述目的，本发明第三方面实施例提出了一种终端，包括以下一个或多个组件：壳体和位于所述壳体内的处理器、存储器和相机模组，其中，所述相机模组用于获取待处理图像，所述处理器通过读取所述存储器中存储的可执行程序代码来运行与所述可执行程序代码对应的程序，以使所述处理器执行本发明实施例第一方面提供的图像处理方法。
为了实现上述目的，本发明第四方面实施例提出了一种非临时性计算机可读存储介质，当所述存储介质中的指令由处理器被执行时，使得能够执行本发明实施例第一方面提供的图像处理方法。
为了实现上述目的，本发明第五方面实施例提出了一种计算机程序产品，当所述计算机程序产品中的指令处理器执行时，执行本发明实施例第一方面提供的图像处理方法。
本发明附加的方面和优点将在下面的描述中部分给出，部分将从下面的描述中变得明显，或通过本发明的实践了解到。
附图说明
本发明上述的和/或附加的方面和优点从下面结合附图对实施例的描述中将变得明显和容易理解，其中：
图1为本发明实施例所提供的一种图像处理方法的流程示意图；
图2为本发明实施例所提供的另一种图像处理方法的流程示意图；
图3为本发明实施例所提供的一种图像处理装置的结构示意图；
图4为本发明实施例所提供的另一种图像处理装置的结构示意图；
图5为本发明实施例所提供的一种终端的结构示意图；以及
图6为本发明实施例所提供的另一种终端的结构示意图。
具体实施方式
下面详细描述本发明的实施例，所述实施例的示例在附图中示出，其中自始至终相同或类似的标号表示相同或类似的元件或具有相同或类似功能的元件。下面通过参考附图描述的实施例是示例性的，旨在用于解释本发明，而不能理解为对本发明的限制。
下面参考附图描述本发明实施例的图像处理方法、装置和终端。
图1为本发明实施例所提供的一种图像处理方法的流程示意图。本发明实施例的图像处理方法可应用于现有的各种终端(例如平板电脑、笔记本电脑、个人电脑、智能手机等)中。如图1所示，该图像处理方法包括以下操作：
方框101，计算待处理图像全局的第一曝光补偿。
具体的，对待处理图像全局进行测光处理，可以采用现有的各种曝光补偿方法(例如平均值法和最大值法等)计算待处理图像全局的第一曝光补偿T gain。
采用平均值法对图像进行曝光补偿处理时，通过对整幅图像的所有像素点的亮度值，求取平均值，进而根据该平均值确定曝光补偿参数，之后采用求得的曝光补偿参数对图像进行曝光补偿处理；采用最大值法对图像进行曝光补偿处理时，通过对整幅图像的所有像素点的亮度值，求取最大值，进而根据该最大值确定曝光补偿参数，之后采用求得的曝光补偿参数对图像进行曝光补偿处理。
方框102，计算待处理图像中的人像部分的第二曝光补偿。
具体的，对待处理图像中的人像部分进行测光处理，可以采用现有的各种曝光补偿方法(例如平均值法和最大值法等)计算待处理图像中的人像部分的第二曝光补偿F gain。
方框103，根据第一曝光补偿和第二曝光补偿计算最终的曝光补偿。
具体的，综合考虑待处理图像全局的第一曝光补偿T gain和待处理图像中的人像部分的第二曝光补偿F gain，确定最终的曝光补偿L gain，具体可采用计算两者的平均值L gain＝ (T gain+F gain)/2或者根据预先设定的固定权重L gain＝0.3T gain+0.7F gain等方法计算得到最终的曝光补偿L gain。
方框104，根据最终的曝光补偿对待处理图像进行处理。
具体的，根据方框103计算得到的最终的曝光补偿L gain对待处理图像进行曝光补偿处理，对图像中的人像和背景的亮度进行准确还原。
本实施例中，综合考虑了人像和背景的曝光差异，通过单独计算待处理图像中的人像部分的第二曝光补偿，并结合待处理图像全局的第一曝光补偿计算得到最终的曝光补偿，根据最终的曝光补偿对待处理图像进行处理，实现了对图像中的人像和背景的亮度的准确还原，避免了在背光或逆光条件下，图像中的人像发生曝光不足、亮度明显偏暗的问题，提高了视觉效果。
为了清楚说明上一实施例，本实施例提供了另一种图像处理方法。图2为本发明实施例所提供的另一种图像处理方法的流程示意图。如图2所示，该图像处理方法包括以下步骤：
方框201，计算待处理图像全局的第一曝光补偿。
具体的，本方框201与上述实施例中的方框101相同，此处不再赘述。
方框202，计算待处理图像中的人像部分的第二曝光补偿。
具体的，本方框202与上述实施例中的方框102相同，此处不再赘述。
上述实施例中的方框103具体可包括以下方框203和204。
方框203，根据人像部分占待处理图像的面积比例，分别确定第一曝光补偿对应的第一权重和第二曝光补偿对应的第二权重。
具体的，计算人像部分占待处理图像的面积比例m，根据计算出的面积比例m确定第一曝光补偿T gain对应的第一权重
Figure PCTCN2018090590-appb-000001
第二曝光补偿F gain对应的第二权重
Figure PCTCN2018090590-appb-000002
其中，
Figure PCTCN2018090590-appb-000003
与m呈正相关。
方框204，将第一曝光补偿和第一权重的乘积和第二曝光补偿和第二权重的乘积相加，得到最终的曝光补偿。
具体的，计算最终的曝光补偿
Figure PCTCN2018090590-appb-000004
人像部分占待处理图像的面积比例m越大，人像部分的曝光补偿对应的权重也越高，背景部分的曝光补偿对应的权重越低，最终得到的曝光补偿结果对人像部分的亮度能做更好的还原；人像部分占待处理图像的面积比例m越小，人像部分的曝光补偿对应的权重也越低，背景部分的曝光补偿对应的权重越高，最终得到的曝光补偿结果对背景部分的亮度能做更好的还原。
方框205，根据最终的曝光补偿对待处理图像进行处理。
具体的，本方框205与上述实施例中的方框104相同，此处不再赘述。
进一步的，待处理图像中的人像部分可以通过以下方式获得：获取待处理图像的景深；根据景深提取待处理图像中的人像部分。
具体的，可以利用双摄或RGBD摄像头，获取待处理图像的景深，根据景深对待处理图像中的人像总体轮廓进行提取，得到待处理图像中的人像部分。
进一步的，提取待处理图像中的人像部分之前，还可以包括以下步骤：对待处理图像进行人脸检测，若待处理图像中包括人脸，则获取待处理图像的景深并结合人脸检测结果提取待处理图像中的人像部分。若待处理图像中不包括人脸，则最终的曝光补偿L gain等于待处理图像全局的第一曝光补偿T gain，即m＝0时，
Figure PCTCN2018090590-appb-000005
L gain＝T gain。
本实施例中，综合考虑了人像和背景的曝光差异，通过单独计算待处理图像中的人像部分的第二曝光补偿，并结合待处理图像全局的第一曝光补偿计算得到最终的曝光补偿，根据最终的曝光补偿对待处理图像进行处理，实现了对图像中的人像和背景的亮度的准确还原，避免了在背光或逆光条件下，图像中的人像发生曝光不足、亮度明显偏暗的问题，提高了视觉效果。采用本实施例的图像处理方法，能自动地根据人像部分占待处理图像的面积比例，地设置人像部分的第二曝光补偿和图像全局的第二曝光补偿的权重，实现在不同的场景下，地对图像中的人像和背景的亮度进行准确的还原。
为了实现上述实施例，本发明还提出一种图像处理装置。图3为本发明实施例所提供的一种图像处理装置的结构示意图。如图3所示，该图像处理装置包括：第一计算模块31、第二计算模块32、第三计算模块33和处理模块34。
第一计算模块31，用于计算待处理图像全局的第一曝光补偿。
第二计算模块32，用于计算待处理图像中的人像部分的第二曝光补偿。
第三计算模块33，用于根据第一曝光补偿和第二曝光补偿计算最终的曝光补偿。
处理模块34，用于根据最终的曝光补偿对待处理图像进行处理。
需要说明的是，前述对图像处理方法实施例的解释说明也适用于该实施例的图像处理装置，此处不再赘述。
本实施例中，综合考虑了人像和背景的曝光差异，通过单独计算待处理图像中的人像部分的第二曝光补偿，并结合待处理图像全局的第一曝光补偿计算得到最终的曝光补偿，根据最终的曝光补偿对待处理图像进行处理，实现了对图像中的人像和背景的亮度的准确还原，避免了在背光或逆光条件下，图像中的人像发生曝光不足、亮度明显偏暗的问题，提高了视觉效果。
基于上述实施例，本发明实施例还提供了一种图像处理装置的可能的实现方式。图4为本发明实施例所提供的另一种图像处理装置的结构示意图。如图4所示，在上一实施例的基础上，第三计算模块33具体包括：
确定单元331，用于根据人像部分占待处理图像的面积比例，分别确定第一曝光补偿对应的第一权重和第二曝光补偿对应的第二权重。
计算单元332，用于将第一曝光补偿和第一权重的乘积和第二曝光补偿和第二权重的乘积相加，得到最终的曝光补偿。
进一步地，在本发明实施例的另一种可能的实现方式中，图像处理装置还可包括：获取模块，用于获取待处理图像的景深；提取模块，用于根据景深提取待处理图像中的人像部分。
进一步地，在本发明实施例的另一种可能的实现方式中，图像处理装置还可包括：检测模块，用于对待处理图像进行人脸检测；触发模块，用于若待处理图像中包括人脸，则触发获取模块执行获取待处理图像的景深步骤。
需要说明的是，前述对图像处理方法实施例的解释说明也适用于该实施例的图像处理装置，此处不再赘述。
本实施例中，综合考虑了人像和背景的曝光差异，通过单独计算待处理图像中的人像部分的第二曝光补偿，并结合待处理图像全局的第一曝光补偿计算得到最终的曝光补偿，根据最终的曝光补偿对待处理图像进行处理，实现了对图像中的人像和背景的亮度的准确还原，避免了在背光或逆光条件下，图像中的人像发生曝光不足、亮度明显偏暗的问题，提高了视觉效果。
为了实现上述实施例，本发明还提出一种终端。图5为本发明实施例所提供的一种终端的结构示意图。如图5所示，该终端包括上述实施例中的图像处理装置51。
需要说明的是，前述对图像处理方法实施例的解释说明也适用于该实施例的终端，此处不再赘述。
本实施例中，综合考虑了人像和背景的曝光差异，通过单独计算待处理图像中的人像部分的第二曝光补偿，并结合待处理图像全局的第一曝光补偿计算得到最终的曝光补偿，根据最终的曝光补偿对待处理图像进行处理，实现了对图像中的人像和背景的亮度的准确还原，避免了在背光或逆光条件下，图像中的人像发生曝光不足、亮度明显偏暗的问题，提高了视觉效果。
为了实现上述实施例，本发明还提出另一种终端。图6为本发明实施例所提供的另一种终端的结构示意图。如图6所示，该终端包括以下一个或多个组件：壳体61和位于壳体61内的处理器611、存储器612和相机模组613，其中，相机模组613用于获取待处理图像，处理器611通过读取存储器612中存储的可执行程序代码来运行与可执行程序代码对应的程序，以使处理器611执行前述的图像处理方法，该图像处理方法包括：计算待处理图像全局的第一曝光补偿；计算待处理图像中的人像部分的第二曝光补偿；根据第一曝光补偿和第二曝光补偿计算最终的曝光补偿；根据最终的曝光补偿对待处理图像进行处理。
需要说明的是，前述对图像处理方法实施例的解释说明也适用于该实施例的终端，此处不再赘述。
本实施例中，综合考虑了人像和背景的曝光差异，通过单独计算待处理图像中的人像部分的第二曝光补偿，并结合待处理图像全局的第一曝光补偿计算得到最终的曝光补偿，根据最终的曝光补偿对待处理图像进行处理，实现了对图像中的人像和背景的亮度的准确还原，避免了在背光或逆光条件下，图像中的人像发生曝光不足、亮度明显偏暗的问题，提高了视觉效果。
在本说明书的描述中，参考术语“一个实施例”、“一些实施例”、“示例”、“具体示例”、或“一些示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点包含于本发明的至少一个实施例或示例中。在本说明书中，对上述术语的示意性表述不必须针对的是相同的实施例或示例。而且，描述的具体特征、结构、材料或者特点可以在任一个或多个实施例或示例中以合适的方式结合。此外，在不相互矛盾的情况下，本领域的技术人员可以将本说明书中描述的不同实施例或示例以及不同实施例或示例的特征进行结合和组合。
此外，术语“第一”、“第二”仅用于描述目的，而不能理解为指示或暗示相对重要性或者隐含指明所指示的技术特征的数量。由此，限定有“第一”、“第二”的特征可以明示或者隐含地包括至少一个该特征。在本发明的描述中，“多个”的含义是至少两个，例如两个，三个等，除非另有明确具体的限定。
流程图中或在此以其他方式描述的任何过程或方法描述可以被理解为，表示包括一个或更多个用于实现定制逻辑功能或过程的步骤的可执行指令的代码的模块、片段或部分，并且本发明的优选实施方式的范围包括另外的实现，其中可以不按所示出或讨论的顺序，包括根据所涉及的功能按基本同时的方式或按相反的顺序，来执行功能，这应被本发明的实施例所属技术领域的技术人员所理解。
在流程图中表示或在此以其他方式描述的逻辑和/或步骤，例如，可以被认为是用于实现逻辑功能的可执行指令的定序列表，可以具体实现在任何计算机可读介质中，以供指令执行系统、装置或设备(如基于计算机的系统、包括处理器的系统或其他可以从指令执行系统、装置或设备取指令并执行指令的系统)使用，或结合这些指令执行系统、装置或设备而使用。就本说明书而言，"计算机可读介质"可以是任何可以包含、存储、通信、传播或传输程序以供指令执行系统、装置或设备或结合这些指令执行系统、装置或设备而使用的装置。计算机可读介质的更具体的示例(非穷尽性列表)包括以下：具有一个或多个布线的电连接部(电子装置)，便携式计算机盘盒(磁装置)，随机存取存储器(RAM)，只读存储器(ROM)，可擦除可编辑只读存储器(EPROM或闪速存储器)，光纤装置， 以及便携式光盘只读存储器(CDROM)。另外，计算机可读介质甚至可以是可在其上打印程序的纸或其他合适的介质，因为可以例如通过对纸或其他介质进行光学扫描，接着进行编辑、解译或必要时以其他合适方式进行处理来以电子方式获得程序，然后将其存储在计算机存储器中。
应当理解，本发明的各部分可以用硬件、软件、固件或它们的组合来实现。在上述实施方式中，多个步骤或方法可以用存储在存储器中且由合适的指令执行系统执行的软件或固件来实现。如，如果用硬件来实现和在另一实施方式中一样，可用本领域公知的下列技术中的任一项或他们的组合来实现：具有用于对数据信号实现逻辑功能的逻辑门电路的离散逻辑电路，具有合适的组合逻辑门电路的专用集成电路，可编程门阵列(PGA)，现场可编程门阵列(FPGA)等。
本技术领域的普通技术人员可以理解实现上述实施例方法携带的全部或部分步骤是可以通过程序来指令相关的硬件完成，的程序可以存储于一种计算机可读存储介质中，该程序在执行时，包括方法实施例的步骤之一或其组合。
此外，在本发明各个实施例中的各功能单元可以集成在一个处理模块中，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模块中。上述集成的模块既可以采用硬件的形式实现，也可以采用软件功能模块的形式实现。集成的模块如果以软件功能模块的形式实现并作为独立的产品销售或使用时，也可以存储在一个计算机可读取存储介质中。
上述提到的存储介质可以是只读存储器，磁盘或光盘等。尽管上面已经示出和描述了本发明的实施例，可以理解的是，上述实施例是示例性的，不能理解为对本发明的限制，本领域的普通技术人员在本发明的范围内可以对上述实施例进行变化、修改、替换和变型。

Claims (15)

  1. 一种图像处理方法，其特征在于，包括：
    计算待处理图像全局的第一曝光补偿；
    计算所述待处理图像中的人像部分的第二曝光补偿；
    根据所述第一曝光补偿和所述第二曝光补偿计算最终的曝光补偿；
    根据所述最终的曝光补偿对所述待处理图像进行处理。
  2. 根据权利要求1所述的图像处理方法，其特征在于，所述根据所述第一曝光补偿和所述第二曝光补偿计算最终的曝光补偿，包括：
    根据所述人像部分占所述待处理图像的面积比例，分别确定所述第一曝光补偿对应的第一权重和所述第二曝光补偿对应的第二权重；
    将所述第一曝光补偿和所述第一权重的乘积和所述第二曝光补偿和所述第二权重的乘积相加，得到所述最终的曝光补偿。
  3. 根据权利要求1或2所述的图像处理方法，其特征在于，还包括：
    获取所述待处理图像的景深；
    根据所述景深提取所述待处理图像中的所述人像部分。
  4. 根据权利要求3所述的图像处理方法，其特征在于，还包括：
    对所述待处理图像进行人脸检测；
    若所述待处理图像中包括人脸，则执行所述获取所述待处理图像的景深步骤。
  5. 根据权利要求1所述的图像处理方法，其特征在于，所述根据所述第一曝光补偿和所述第二曝光补偿计算最终的曝光补偿，包括：
    对所述第一曝光补偿和所述第二曝光补偿进行加权求和，得到所述最终的曝光补偿。
  6. 根据权利要求5所述的图像处理方法，其特征在于，所述对所述第一曝光补偿和所述第二曝光补偿进行加权求和，得到所述最终的曝光补偿，包括：
    计算所述第一曝光补偿和所述第二曝光补偿的平均值，并将所述平均值作为所述最终的曝光补偿。
  7. 一种图像处理装置，其特征在于，包括：
    第一计算模块，用于计算待处理图像全局的第一曝光补偿；
    第二计算模块，用于计算所述待处理图像中的人像部分的第二曝光补偿；
    第三计算模块，用于根据所述第一曝光补偿和所述第二曝光补偿计算最终的曝光补偿；
    处理模块，用于根据所述最终的曝光补偿对所述待处理图像进行处理。
  8. 根据权利要求7所述的图像处理装置，其特征在于，所述第三计算模块包括：
    确定单元，用于根据所述人像部分占所述待处理图像的面积比例，分别确定所述第一曝光补偿对应的第一权重和所述第二曝光补偿对应的第二权重；
    计算单元，用于将所述第一曝光补偿和所述第一权重的乘积和所述第二曝光补偿和所述第二权重的乘积相加，得到所述最终的曝光补偿。
  9. 根据权利要求7或8所述的图像处理装置，其特征在于，还包括：
    获取模块，用于获取所述待处理图像的景深；
    提取模块，用于根据所述景深提取所述待处理图像中的所述人像部分。
  10. 根据权利要求9所述的图像处理装置，其特征在于，还包括：
    检测模块，用于对所述待处理图像进行人脸检测；
    触发模块，用于若所述待处理图像中包括人脸，则触发所述获取模块执行获取所述待处理图像的景深步骤。
  11. 根据权利要求7所述的图像处理装置，其特征在于，所述第三计算模块，具体用于：
    对所述第一曝光补偿和所述第二曝光补偿进行加权求和，得到所述最终的曝光补偿。
  12. 根据权利要求11所述的图像处理装置，其特征在于，所述第三计算模块，具体用于：
    计算所述第一曝光补偿和所述第二曝光补偿的平均值，并将所述平均值作为所述最终的曝光补偿。
  13. 一种终端，其特征在于，包括以下一个或多个组件：壳体和位于所述壳体内的处理器、存储器和相机模组，其中，所述相机模组用于获取待处理图像，所述处理器通过读取所述存储器中存储的可执行程序代码来运行与所述可执行程序代码对应的程序，以使所述处理器执行如权利要求1-6中任一所述的图像处理方法。
  14. 一种非临时性计算机可读存储介质，其上存储有计算机程序，其特征在于，该程序被处理器执行时实现如权利要求1-6中任一所述的图像处理方法。
  15. 一种计算机程序产品，当所述计算机程序产品中的指令由处理器执行时，执行如权利要求1-6中任一所述的图像处理方法。
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