WO2019011147A1 - Procédé et appareil de traitement de région de visage humain dans une scène de rétroéclairage - Google Patents

Procédé et appareil de traitement de région de visage humain dans une scène de rétroéclairage Download PDF

Info

Publication number
WO2019011147A1
WO2019011147A1 PCT/CN2018/094083 CN2018094083W WO2019011147A1 WO 2019011147 A1 WO2019011147 A1 WO 2019011147A1 CN 2018094083 W CN2018094083 W CN 2018094083W WO 2019011147 A1 WO2019011147 A1 WO 2019011147A1
Authority
WO
WIPO (PCT)
Prior art keywords
backlight
foreground
scene
face region
saturation
Prior art date
Application number
PCT/CN2018/094083
Other languages
English (en)
Chinese (zh)
Inventor
袁全
Original Assignee
Oppo广东移动通信有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
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
Publication of WO2019011147A1 publication Critical patent/WO2019011147A1/fr

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—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
    • 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
    • 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
    • H04N23/71—Circuitry for evaluating the brightness variation
    • 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
    • G06T2207/10004—Still image; Photographic image

Definitions

  • the present application relates to the field of image processing technologies, and in particular, to a method and apparatus for processing a face region of a backlight scene.
  • the exposed face of the user is insufficiently exposed, and the backlight is effective.
  • the brightness is very low, the user's face is dark, and the interview details are blurred.
  • the sensitivity ISO is pulled high to increase the brightness of the face region by enhancing the sensitivity to light.
  • the present invention provides a face area processing method and apparatus for backlit scenes, which solves the problem that in the prior art, in the backlight scene, only the brightness of the face area is increased, and the noise reduction intensity is increased, and the skin color of the face area is pale. technical problem.
  • An embodiment of the present disclosure provides a method for processing a face region of a backlight scene, including: when a backlight scene is detected, separating a foreground and a backlight background from the current captured image; performing brightness enhancement processing on the foreground, and determining the foreground a face area; adjusting a preset CCM model parameter corresponding to the backlight scene to increase the saturation of the face area.
  • a face region processing apparatus for a backlight scene comprising: a separation module, configured to separate a foreground and a backlight background from a current shooting image when a backlight scene is detected; and a brightness enhancement module for The foreground is subjected to a brightness enhancement process; the determining module is configured to determine a face area in the foreground; and an adjustment module is configured to adjust a preset CCM model parameter corresponding to the backlight scene to improve saturation of the face area .
  • a further embodiment of the present application provides a terminal device including one or more components: a housing and a processor and a memory located in the housing, wherein the processor reads the memory stored in the memory by reading
  • the program code is executed to execute a program corresponding to the executable program code for performing a face region processing method of the backlighting scene as described in the first aspect of the present application.
  • a further embodiment of the present application provides a non-transitory computer readable storage medium having stored thereon a computer program, which is executed by a processor to implement a face of a backlight scene as described in the first aspect of the present application.
  • Regional processing method
  • the foreground and the backlight background are separated from the current shooting image, the foreground is brightness-raised, and the face region in the foreground is determined, and the preset CCM model parameters corresponding to the backlight scene are adjusted to improve the face.
  • the saturation of the area Therefore, when the image of the face region in the case of backlighting is raised, the problem that the skin color of the face is faded without blood color is avoided, and the image quality is ensured while avoiding the negative influence on the smooth region while ensuring the image display. Visual effects.
  • FIG. 1 is a flowchart of a face area processing method for a backlight scene according to an embodiment of the present application
  • FIG. 2 is a schematic diagram of a backlight shooting scene according to an embodiment of the present application.
  • FIG. 3( a ) is a schematic diagram of an effect before processing an image of a current shooting screen according to an embodiment of the present application
  • FIG. 3(b) is a schematic diagram showing the effect of improving the brightness of the face region of the current shooting picture according to an embodiment of the present application
  • FIG. 3(c) is a schematic diagram showing an effect of increasing saturation of a current photographing screen according to an embodiment of the present application
  • FIG. 4 is a flowchart of a face area processing method for a backlight scene according to another embodiment of the present application.
  • FIG. 5 is a schematic structural diagram of a face region processing apparatus for a backlight scene according to an embodiment of the present application.
  • FIG. 6 is a schematic structural diagram of a face region processing apparatus for a backlight scene according to another embodiment of the present application.
  • FIG. 7 is a schematic structural diagram of a face region processing apparatus for a backlight scene according to still another embodiment of the present application.
  • FIG. 8 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
  • FIG. 9 is a schematic structural diagram of an image processing circuit according to an embodiment of the present application.
  • the present application proposes a face region processing method for the backlight scene, which can improve the brightness of the face region while improving the backlight scene, and avoid Sacrificing the details of the face makes the visual display of the image stronger.
  • FIG. 1 is a flowchart of a method for processing a face region of a backlight scene according to an embodiment of the present application. As shown in FIG. 1 , the method includes:
  • step 101 when the backlight scene is detected, the foreground and backlight backgrounds are separated from the current shooting image.
  • the position of the face region can be separated.
  • the range of clear imaging before the focus area is the foreground.
  • Depth of field the location of the face area is in the foreground depth of field.
  • the range of clear imaging after the focus area is the background depth of field, and the backlight background is in the background depth of field. Therefore, in this example, the foreground and backlight background are separated from the current shot according to the depth information. .
  • the first example is a first example:
  • the relevant parameters of the shooting can be acquired to calculate the depth information of the image area outside the focus area in the preview image according to the formula of the shooting camera.
  • the two rear cameras have a certain angular difference and a distance difference with respect to the captured target object, so the preview image data acquired by the two cameras is also There is a certain phase difference.
  • the pixel point coordinates corresponding to the point A are (30, 50), and in the preview image data of the camera 2, the point A corresponds.
  • the relationship between the depth information and the phase difference may be established in advance according to the experimental data or the camera parameters, and then the corresponding depth information may be searched according to the phase difference in the preview image data acquired by the two cameras in the preview image. .
  • the depth information corresponding to the point A in the preview screen is 5 meters.
  • the depth of field information of each pixel in the current preview picture that is, the depth of field map of the image area outside the focus area is obtained.
  • the foreground depth information of the image area before the focus area and the background depth information after the focus area may be further determined, thereby determining the foreground before the focus area according to the depth map Depth of field and background depth of focus after the focus area, and separate foreground and backlit backgrounds based on foreground depth and background depth.
  • Step 102 Perform brightness enhancement processing on the foreground and determine a face area in the foreground.
  • the brightness of the face area and other areas in the foreground in the backlight scene are relatively low, and the boundary of the face area is blurred compared with other areas. Therefore, the brightness of the foreground is improved at this time.
  • the brightness of the face area is improved, the face is clearly visible, and the boundary of the face area is clearer than other areas, so that the face area can be extracted to further process the face area.
  • the first example is a first example:
  • the face area is the color of the human body such as the skin color
  • the other areas are the colors of other scenes different from the color of the face area. Therefore, the color channel detection algorithm can be adopted.
  • the area where the skin color is located is identified to determine the contour edge of the face area in the foreground according to the area covered by the skin color.
  • the image edge detection algorithm such as CANNY algorithm and wavelet transform algorithm is used to determine the contour edge of the face region in the foreground.
  • Step 103 Adjust a preset CCM model parameter corresponding to the backlight scene to improve the saturation of the face region.
  • saturation Degree refers to the degree of vividness of color, also known as the purity of color.
  • the saturation of face area depends on the proportion of the color component and the achromatic component (gray) in the face area. The larger the color component, the greater the saturation. The larger the color component, the smaller the saturation.
  • the saturation of the face is increased, the color component of the face region is increased, so that the face region is rosy and shiny.
  • the adjustment of the saturation is implemented based on the adjustment of the CCM model parameters.
  • the implementation of CCM is based on a simple linear matrix, adjusting the coefficients of RG and BG in the G path, adjusting the coefficients of GR and BR in the R path, and adjusting the coefficients of GB and RB in the B way to perform color. Correct to change the hue of the picture.
  • the relationship of each coefficient in the above formula (1) is as follows: Therefore, the pixels after the CCM are It can be expressed as:
  • the adjustment of the RGB color distribution can be realized by changing the values of the parameters C00, C11, and C22 on the diagonal in the CCM model matrix, thereby achieving the adjustment of the saturation.
  • the saturation of the captured object in the backlight scene and the forward scene is detected respectively, and the CCM model parameters corresponding to the backlight scene are set according to the detection result, and the CCM model parameters corresponding to the preset backlight scene are adjusted to be improved.
  • the saturation of the face area in backlighting is detected respectively, and the CCM model parameters corresponding to the backlight scene are set according to the detection result, and the CCM model parameters corresponding to the preset backlight scene are adjusted to be improved.
  • the CCM model parameters are set for the backlight scene, so that the saturation of the forward region does not change during the actual adjustment process, and the implementation of the CCM model parameters can only be performed in the backlight region.
  • the function of the face region because the setting of the CCM model parameters is strongly correlated with the color temperature and brightness of the picture color, therefore, in order to avoid the adjustment of the CCM model parameters during the implementation process, the CCM model parameters corresponding to the backlight scene are set. , is set based on the backlight scene and the forward scene with the same color temperature and brightness.
  • the face region is extracted by using the depth information-based method, and the extraction accuracy of the face region is higher than that of the direct face recognition. Since the brightness of the face area is low and the features are not obvious in the backlight scene, it is very likely that the face recognition directly causes the recognition to fail.
  • the face region processing method of the backlight scene in the embodiment of the present invention adjusts the saturation of the face region based on the adjustment of the CCM model parameters after improving the brightness of the face face, and improves the color component of the face region. Makes the face rosy and shiny.
  • the saturation adjustment is performed based on the CCM model parameters, since the CCM model parameters are set based on the backlight scene, the saturation is adjusted only for the face region in the backlight scene during the adjustment process. That is, the backlighting scene is set separately, and a set of CCM model parameters are set to separate the CCM model parameters of the backlight scene from the normal scene, thereby avoiding the negative influence on the smoothing area in the picture due to the increase of the backlight scene saturation during the debugging process.
  • the following example illustrates that when the backlight scene as shown in FIG. 3( a ) is detected, the foreground and the backlight background are separated from the current shot image, and then, the foreground is performed.
  • the brightness enhancement processing as shown in FIG. 3(b), increases the brightness of the processed face, but the facial details are lost.
  • adjusting the preset CCM model parameters corresponding to the backlight scene improves the saturation of the face region, As shown in Fig. 3(c), the face of the face is rosy and shiny, and the brightness is improved, while the saturation of the smooth area does not receive a negative influence.
  • the face region processing method of the backlight scene in the embodiment of the present application detects the backlight scene, separates the foreground and the backlight background from the current captured image, performs brightness enhancement processing on the foreground, and determines the face in the foreground.
  • the region adjusts a preset CCM model parameter corresponding to the backlight scene to increase the saturation of the face region. Therefore, when the image of the face region in the case of backlighting is raised, the problem that the skin color of the face is faded without blood color is avoided, and the image quality is ensured while avoiding the negative influence on the smooth region while ensuring the image display. Visual effects.
  • the degree of darkening of the face region is different due to the difference in the intensity of the ambient light of the backlight, the stronger the ambient light, the darker the face region, and the more the ambient light is. Not strong, the brighter the face area, the darker the face area, the more facial details that are lost, the higher the saturation needs to be lifted. Therefore, in order to improve the processing effect on the saturation of the face area, according to the current environment The backlight intensity is adjusted for saturation.
  • the above step 103 includes:
  • Step 201 Detect the backlight intensity of the current scene.
  • the manner of detecting the backlight intensity of the current scene may be different according to the specific application scenario, for example, obtaining the backlight intensity sensed by the photosensitive element in the camera module, for example, calculating the backlight intensity according to the brightness of the foreground.
  • Step 202 Acquire an enhancement range corresponding to the backlight intensity.
  • the enhancement range corresponds to the saturation increase, and the higher the enhancement, the greater the increase of saturation. Conversely, the lower the enhancement, the smaller the increase of saturation.
  • a plurality of different implementation manners may be used to obtain an enhancement range corresponding to the backlight intensity.
  • the correspondence between the backlight intensity and the enhancement amplitude is pre-stored, thereby After obtaining the backlight intensity, query the corresponding relationship to obtain the corresponding enhancement range.
  • the conversion function is generated according to the relationship between the backlight intensity and the enhancement amplitude, so that after the backlight intensity is acquired, the corresponding enhancement amplitude is obtained by the conversion function.
  • Step 203 Adjust the preset CCM model parameter corresponding to the backlight scene according to the enhancement amplitude to improve the saturation of the face region.
  • the CCM model parameters are adjusted to achieve an increase in saturation corresponding to the face region, so that the face region does not over-saturate or under-saturate.
  • the processing effect is good.
  • the CCM model parameters only improve the saturation of the face region in the backlight scene, and avoid the negative influence on the smooth region.
  • the skin color of each part of the face is also different.
  • the face cheek is more rosy than the forehead, and thus, in order to further improve the processing effect, the face area may be different.
  • the locations determine different saturation coefficients to adjust different degrees of saturation for different parts of the face region according to different saturation coefficients.
  • a saturation adjustment coefficient corresponding to a different part of the face region is obtained, wherein the saturation coefficient of the more rosy part is higher in reality, and further, the calculation and the difference are performed according to the saturation adjustment coefficient and the enhancement range corresponding to different parts.
  • the lifting range corresponding to the part is adjusted according to the lifting range corresponding to the different parts, and the preset CCM model parameter corresponding to the backlight scene is used to improve the saturation of the corresponding position of the face area.
  • the face region processing method of the backlight scene in the embodiment of the present application determines the enhancement range according to the backlight intensity of the current scene, and adjusts the CCM model parameters corresponding to the backlight scene according to the enhancement range to improve the saturation of the face region. degree. Therefore, an appropriate enhancement range is selected for the face area to be processed to improve the saturation, and the supersaturation or undersaturation of the face area is avoided, thereby further improving the visual effect of the image display.
  • FIG. 5 is a schematic structural diagram of a face area processing apparatus for a backlight scene according to an embodiment of the present application, as shown in FIG.
  • the face region processing device of the backlighting scene includes: a separation module 100, a brightness enhancement module 200, a determination module 300, and an adjustment module 400.
  • the separation module 100 is configured to separate the foreground and the backlight background from the current shooting image when the backlight scene is detected.
  • the separation module 100 includes a first acquisition unit 110, a determination unit 120, and a separation unit 130.
  • the first obtaining unit 110 is configured to determine a depth map of the image area outside the focus area according to the current captured picture data respectively acquired by the dual cameras.
  • the determining unit 120 is configured to determine a foreground depth of field before the focus area and a background depth of field after the focus area according to the depth of field map.
  • the separating unit 130 is configured to separate the foreground and the backlight background according to the foreground depth of field and the background depth of field.
  • the brightness enhancement module 200 is configured to perform brightness enhancement processing on the foreground.
  • the determining module 300 is configured to determine a face area in the foreground.
  • the adjustment module 400 is configured to adjust a preset CCM model parameter corresponding to the backlight scene to improve the saturation of the face region.
  • the face region processing device of the backlight scene of the embodiment of the present invention detects the backlight scene, separates the foreground and the backlight background from the current captured image, performs brightness enhancement processing on the foreground, and determines the face in the foreground.
  • the region adjusts a preset CCM model parameter corresponding to the backlight scene to increase the saturation of the face region. Therefore, when the image of the face region in the case of backlighting is raised, the problem that the skin color of the face is faded without blood color is avoided, and the image quality is ensured while avoiding the negative influence on the smooth region while ensuring the image display. Visual effects.
  • FIG. 7 is a schematic structural diagram of a face region processing of a backlighting scene according to still another embodiment of the present application.
  • the adjustment module 400 includes a detecting unit 410 and a second acquiring unit, as shown in FIG. 420 and adjustment unit 430.
  • the detecting unit 410 is configured to detect the backlight intensity of the current scene.
  • the second obtaining unit 420 is configured to acquire an enhancement range corresponding to the backlight intensity.
  • the adjusting unit 430 is configured to adjust the saturation of the face region by adjusting a preset CCM model parameter corresponding to the backlight scene according to the enhancement amplitude.
  • the face region processing device of the backlight scene in the embodiment of the present application determines the enhancement range according to the backlight intensity of the current scene, and adjusts the CCM model parameters corresponding to the backlight scene according to the enhancement range to improve the saturation of the face region. degree. Therefore, an appropriate enhancement range is selected for the face region to be processed to improve the saturation, and the supersaturation or undersaturation of the face region is avoided, thereby further improving the visual effect of the image display.
  • FIG. 8 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
  • the terminal device 1000 includes a housing 1100 and a processor 1110 and a memory 1120 located in the housing 1100.
  • the processor 1110 is operable by reading executable program code stored in the memory 1120.
  • a program corresponding to the program code is executed for performing the face region processing method of the backlight scene described in the above embodiment.
  • FIG. 99 is a schematic diagram of an image processing circuit as a possible implementation. For ease of explanation, only the various aspects related to the embodiments of the present application are shown.
  • the image processing circuit specifically includes: a photographing unit 11 and a processing unit 12, wherein
  • the photographing unit 11 is configured to output a photographing screen.
  • the processing unit 12 is configured to: when the backlight scene is detected, separate the foreground and the backlight background from the current captured image, perform brightness enhancement processing on the foreground, determine a face region in the foreground, and adjust a preset
  • the CCM model parameter corresponding to the backlight scene increases the saturation of the face region.
  • the photographing unit 11 includes an electrically connected dual camera 111
  • the processor 12 includes an image signal processing ISP processor 121, wherein
  • the dual camera 111 is configured to output a current shooting picture respectively acquired by the two cameras.
  • the ISP processor 121 is configured to determine a depth map of an image area outside the focus area according to the current captured picture data respectively acquired by the dual camera, and determine a foreground depth and the focus area before the focus area according to the depth map. Subsequent background depth of field separates the foreground and backlit background from the foreground depth of field and the background depth of field.
  • the processor 12 includes an electrically connected CPU 122, wherein the CPU 122 is configured to detect a backlight intensity of a current scene, and obtain an enhancement range corresponding to the backlight intensity. And adjusting a preset CCM model parameter corresponding to the backlight scene according to the enhancement amplitude to improve saturation of the face region.
  • the CPU 122 is further configured to acquire a saturation adjustment coefficient corresponding to a different portion of the face region, and calculate and describe the saturation adjustment coefficient and the enhancement amplitude according to the different portions.
  • the lifting range corresponding to the different parts is adjusted according to the lifting range corresponding to the different parts, and the preset CCM model parameter corresponding to the backlighting scene is adjusted to improve the saturation of the corresponding position of the face area.
  • the present application also proposes a non-transitory computer readable storage medium having stored thereon a computer program capable of realizing a backlighting scene as described in the foregoing embodiments when the computer program is executed by the processor Face area processing method.
  • 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” and “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 can be printed, as it may be optically scanned, for example by paper or other medium, followed by editing, interpretation or, if appropriate, other suitable The method is processed to obtain the program electronically and then stored in computer memory.
  • portions of the application can 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 application 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.
  • the integrated modules, if implemented in the form of software functional modules and sold or used as stand-alone products, may also be stored in a computer readable storage medium.
  • the above mentioned storage medium may be a read only memory, a magnetic disk or an optical disk or the like. While the embodiments of the present application have been shown and described above, it is understood that the above-described embodiments are illustrative and are not to be construed as limiting the scope of the present application. The embodiments are subject to variations, modifications, substitutions and variations.

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Image Processing (AREA)
  • Studio Devices (AREA)

Abstract

La présente invention concerne un procédé et un appareil de traitement de région de visage humain dans une scène de rétroéclairage. Le procédé comprend : séparer un premier plan et un arrière-plan de rétroéclairage d'une image actuellement capturée lorsqu'une scène de rétroéclairage est détectée ; effectuer un traitement d'augmentation de luminosité sur le premier plan, et déterminer une région de visage humain dans le premier plan ; et ajuster des paramètres de modèle CCM prédéfinis correspondant à la scène de rétroéclairage de façon à améliorer la saturation de la région de visage humain. Ainsi, lorsque la luminosité de l'image de région de visage humain dans la condition de rétroéclairage est augmentée, le problème selon lequel la couleur de peau de visage humain est estompée et sans teint est évité, l'impact négatif sur une région d'éclairage frontal est évité et l'effet visuel d'affichage d'image est garanti tandis que la qualité d'image est améliorée.
PCT/CN2018/094083 2017-07-10 2018-07-02 Procédé et appareil de traitement de région de visage humain dans une scène de rétroéclairage WO2019011147A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710558357.5 2017-07-10
CN201710558357.5A CN107277356B (zh) 2017-07-10 2017-07-10 逆光场景的人脸区域处理方法和装置

Publications (1)

Publication Number Publication Date
WO2019011147A1 true WO2019011147A1 (fr) 2019-01-17

Family

ID=60071759

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2018/094083 WO2019011147A1 (fr) 2017-07-10 2018-07-02 Procédé et appareil de traitement de région de visage humain dans une scène de rétroéclairage

Country Status (2)

Country Link
CN (1) CN107277356B (fr)
WO (1) WO2019011147A1 (fr)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112085686A (zh) * 2020-08-21 2020-12-15 北京迈格威科技有限公司 图像处理方法、装置、电子设备及计算机可读存储介质
CN113705501A (zh) * 2021-09-02 2021-11-26 浙江索思科技有限公司 一种基于图像识别技术的海上目标检测方法和系统
CN114764927A (zh) * 2020-12-31 2022-07-19 合肥君正科技有限公司 一种分区域增强的人脸逆光图片的制作方法

Families Citing this family (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107277356B (zh) * 2017-07-10 2020-02-14 Oppo广东移动通信有限公司 逆光场景的人脸区域处理方法和装置
CN107454315B (zh) * 2017-07-10 2019-08-02 Oppo广东移动通信有限公司 逆光场景的人脸区域处理方法和装置
CN107995418B (zh) * 2017-11-21 2020-07-21 维沃移动通信有限公司 一种拍摄方法、装置及移动终端
CN107948519B (zh) 2017-11-30 2020-03-27 Oppo广东移动通信有限公司 图像处理方法、装置及设备
CN108259754B (zh) * 2018-03-06 2021-02-02 Oppo广东移动通信有限公司 图像处理方法及装置、计算机可读存储介质和计算机设备
CN111368596B (zh) * 2018-12-26 2023-08-04 北京眼神智能科技有限公司 人脸识别逆光补偿方法、装置、可读存储介质及设备
CN109815905B (zh) * 2019-01-24 2022-12-23 深圳市梦网视讯有限公司 一种逆光光源人脸图像检测方法和系统
CN111526277A (zh) * 2019-02-01 2020-08-11 神讯电脑(昆山)有限公司 根据环境条件调整影像的处理方法及其系统
CN110751607A (zh) * 2019-10-21 2020-02-04 浙江大华技术股份有限公司 一种肤色的校正方法、装置、存储介质以及电子装置
CN110891145B (zh) * 2019-12-02 2021-08-17 联想(北京)有限公司 一种拍照获得图像的方法及电子设备
CN112261307B (zh) * 2020-09-27 2022-08-19 厦门亿联网络技术股份有限公司 一种图像曝光方法、装置及存储介质
CN112606402A (zh) * 2020-11-03 2021-04-06 泰州芯源半导体科技有限公司 应用多参数解析的产品制造平台
CN112819714A (zh) * 2021-01-29 2021-05-18 深圳市商汤科技有限公司 目标对象曝光方法、装置、存储介质及设备
CN113674230B (zh) * 2021-08-10 2023-12-19 深圳市捷顺科技实业股份有限公司 一种室内逆光人脸关键点的检测方法及装置
CN117152819B (zh) * 2023-09-04 2024-04-19 广州市鹏驰信息科技有限公司 一种人脸识别方法和装置

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102044056A (zh) * 2009-10-23 2011-05-04 索尼公司 图像处理设备和图像处理方法
CN105303543A (zh) * 2015-10-23 2016-02-03 努比亚技术有限公司 图像增强方法及移动终端
JP6003133B2 (ja) * 2012-03-21 2016-10-05 カシオ計算機株式会社 撮像装置、撮像制御方法及びプログラム
CN106454014A (zh) * 2016-11-04 2017-02-22 安徽超远信息技术有限公司 一种提高逆光场景车辆抓拍图像质量的方法及装置
CN106791471A (zh) * 2016-12-29 2017-05-31 宇龙计算机通信科技(深圳)有限公司 图像优化方法、图像优化装置和终端
CN107277356A (zh) * 2017-07-10 2017-10-20 广东欧珀移动通信有限公司 逆光场景的人脸区域处理方法和装置

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102447815B (zh) * 2010-10-09 2014-01-01 中兴通讯股份有限公司 视频图像的处理方法及装置
CN105025283A (zh) * 2015-08-07 2015-11-04 广东欧珀移动通信有限公司 一种新的色彩饱和度调整方法、系统及移动终端
CN106937049B (zh) * 2017-03-09 2020-11-27 Oppo广东移动通信有限公司 基于景深的人像色彩的处理方法、处理装置和电子装置

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102044056A (zh) * 2009-10-23 2011-05-04 索尼公司 图像处理设备和图像处理方法
JP6003133B2 (ja) * 2012-03-21 2016-10-05 カシオ計算機株式会社 撮像装置、撮像制御方法及びプログラム
CN105303543A (zh) * 2015-10-23 2016-02-03 努比亚技术有限公司 图像增强方法及移动终端
CN106454014A (zh) * 2016-11-04 2017-02-22 安徽超远信息技术有限公司 一种提高逆光场景车辆抓拍图像质量的方法及装置
CN106791471A (zh) * 2016-12-29 2017-05-31 宇龙计算机通信科技(深圳)有限公司 图像优化方法、图像优化装置和终端
CN107277356A (zh) * 2017-07-10 2017-10-20 广东欧珀移动通信有限公司 逆光场景的人脸区域处理方法和装置

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112085686A (zh) * 2020-08-21 2020-12-15 北京迈格威科技有限公司 图像处理方法、装置、电子设备及计算机可读存储介质
CN114764927A (zh) * 2020-12-31 2022-07-19 合肥君正科技有限公司 一种分区域增强的人脸逆光图片的制作方法
CN114764927B (zh) * 2020-12-31 2024-05-28 合肥君正科技有限公司 一种分区域增强的人脸逆光图片的制作方法
CN113705501A (zh) * 2021-09-02 2021-11-26 浙江索思科技有限公司 一种基于图像识别技术的海上目标检测方法和系统
CN113705501B (zh) * 2021-09-02 2024-04-26 浙江索思科技有限公司 一种基于图像识别技术的海上目标检测方法和系统

Also Published As

Publication number Publication date
CN107277356A (zh) 2017-10-20
CN107277356B (zh) 2020-02-14

Similar Documents

Publication Publication Date Title
WO2019011147A1 (fr) Procédé et appareil de traitement de région de visage humain dans une scène de rétroéclairage
WO2019105262A1 (fr) Procédé, appareil et dispositif de traitement de flou d'arrière-plan
US10997696B2 (en) Image processing method, apparatus and device
US20200043225A1 (en) Image processing apparatus and control method thereof
WO2020259271A1 (fr) Procédé et appareil de correction de la distorsion d'image
WO2018228467A1 (fr) Procédé et dispositif d'exposition d'image, dispositif photographique, et support de stockage
US10805508B2 (en) Image processing method, and device
WO2019011110A1 (fr) Procédé et appareil de traitement de région de visage humain dans une scène de rétroéclairage
WO2019085618A1 (fr) Procédé, appareil, et dispositif de traitement d'image
KR20200041382A (ko) 듀얼 카메라 기반 이미징 방법, 이동 단말기 및 저장 매체
WO2019105254A1 (fr) Procédé, appareil et dispositif de traitement de flou d'arrière-plan
KR20200023651A (ko) 미리보기 사진 블러링 방법 및 장치 및 저장 매체
WO2019105297A1 (fr) Procédé et appareil de défocalisation d'image, dispositif mobile, et support de stockage
US10382671B2 (en) Image processing apparatus, image processing method, and recording medium
WO2019011148A1 (fr) Procédé et appareil de traitement de balance des blancs
WO2019105298A1 (fr) Procédé de traitement de flou d'image, dispositif, dispositif mobile et support d'informations
US9674427B2 (en) Image processing method and apparatus
JP6412386B2 (ja) 画像処理装置およびその制御方法、プログラムならびに記録媒体
US11710343B2 (en) Image processing device, image processing method, and storage medium for correcting brightness
CN108289170B (zh) 能够检测计量区域的拍照装置、方法及计算机可读介质
JP4208563B2 (ja) 自動焦点調節装置
US11509797B2 (en) Image processing apparatus, image processing method, and storage medium
JP4946913B2 (ja) 撮像装置および画像処理プログラム
US11842467B2 (en) Image processing apparatus, image processing method and storage medium
WO2019041493A1 (fr) Procédé et dispositif de réglage de la balance des blancs

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 18831881

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 18831881

Country of ref document: EP

Kind code of ref document: A1