WO2020035723A1 - Procédé et appareil d'identification d'une région de rétroéclairage, et dispositif/terminal/serveur - Google Patents

Procédé et appareil d'identification d'une région de rétroéclairage, et dispositif/terminal/serveur Download PDF

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Publication number
WO2020035723A1
WO2020035723A1 PCT/IB2018/056488 IB2018056488W WO2020035723A1 WO 2020035723 A1 WO2020035723 A1 WO 2020035723A1 IB 2018056488 W IB2018056488 W IB 2018056488W WO 2020035723 A1 WO2020035723 A1 WO 2020035723A1
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pixel
color
colors
dark
image
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PCT/IB2018/056488
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English (en)
Chinese (zh)
Inventor
唐琪森
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优视科技新加坡有限公司
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Publication of WO2020035723A1 publication Critical patent/WO2020035723A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/10—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/187—Segmentation; Edge detection involving region growing; involving region merging; involving connected component labelling
    • 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

Definitions

  • the present application relates to the technical field of intelligent terminals, and in particular, to a method, a device, and a device / terminal / server for identifying a backlight region.
  • the embodiments of the present application provide a method, an apparatus, and a device / terminal / server for identifying a backlight region, which completely or partially solve a problem in the prior art.
  • a method for identifying a backlight region includes: performing color space transfer on the obtained image to obtain a color brightness value of each pixel of the image in an HSL color space; The color lightness value of each pixel determines that the color of each pixel approaches white or black; traverses the color of each pixel to obtain the boundary value of the dark connected area to determine that it is a backlight area.
  • a device for identifying a backlight region includes: a space conversion module configured to perform color space transfer on the obtained image to obtain the image in the HSL color space. Color lightness value of each pixel; color determination A module configured to judge that the color of each pixel approaches white or black according to the color lightness value of each pixel; the area determination module is configured to traverse the color of each pixel to obtain a dark color The boundary value of the connected area determines that it is a backlit area.
  • a device / terminal / server including: one or more processors; a storage device, configured to store one or more programs, and when the one or more programs are Being executed by the one or more processors, so that the one or more processors implement an operation corresponding to the method for identifying a backlight region as described above.
  • a computer-readable storage medium in which a computer program is stored, and when the program is executed by a processor, the operation corresponding to the method for identifying a backlight region as described above is implemented.
  • the embodiment of the present application obtains the color lightness value of each pixel in the HSL color space of the image, and determines that the color of each pixel is close to white according to the color lightness value of each pixel Or approaching black, traverse the colors of the pixels to obtain the boundary value of the dark connected area to determine that it is a backlight area.
  • a user judges a pixel color according to a color lightness value of each pixel, so as to determine a boundary value of a dark connected area to determine a backlight area. This optimizes the backlight area and improves the image quality in photos or videos.
  • FIG. 1 is a flowchart of steps of a method for identifying a backlight region according to Embodiment 1 of the present application
  • FIG. 2 is a flowchart of steps of an implementation of step S103 of a method for identifying a backlight region according to Embodiment 2 of the present application;
  • FIG. 3 is a flowchart of steps of an implementation of step S 1031 of a method for identifying a backlight region according to Embodiment 2 of the present application;
  • FIG. 4 is a structural block diagram of an implementation of a device for identifying a backlight region according to Embodiment 3 of the present application;
  • FIG. 5 is a structural block diagram of an implementation of another area determination module for identifying a backlight area device according to Embodiment 4 of the present application;
  • FIG. 6 is a structural block diagram of an implementation of another color traversal unit for identifying a backlight region device according to Embodiment 4 of the present application;
  • FIG. 7 is a structural block diagram of a device / terminal / server according to Embodiment 5 of the present application. detailed description The specific implementation of the embodiments of the present application will be further described in detail below with reference to the accompanying drawings (the same reference numerals in several drawings represent the same elements) and embodiments. The following examples are used to illustrate the present application, but are not intended to limit the scope of the present application.
  • FIG. 1 there is shown a flowchart of steps in a method for identifying a backlight region according to Embodiment 1 of the present application.
  • steps S 101 to S 103 described in this application do not represent the order of execution.
  • Step S101 Perform color space transfer on the obtained image to obtain a color brightness value of each pixel of the image in the HSL color space.
  • the image obtained in the embodiment of the present application includes a captured image or an image downloaded through the Internet.
  • the image described in the embodiment of the present application includes an image in a photo or an image captured in a video.
  • HSL color mode is a color standard in the industry. It obtains a variety of colors by changing the three color channels of hue (H), saturation (S), and lightness (L) and superimposing them on each other.
  • HSL is the color representing the three channels of hue, saturation, and lightness. This standard includes almost all colors that human vision can perceive. It is one of the most widely used color systems.
  • the color brightness value (L) of each pixel of the image in the HSL color space is obtained by performing color space transfer on the image.
  • the color lightness value (L) of each pixel is determined. Based on the size of the color lightness value (L), it can be determined whether the color of the pixel approaches white or black.
  • Step S103 traverse the colors of the pixels to obtain the edges of the dark connected area The threshold value determines that it is a backlit area.
  • the present application obtains a dark-colored connected region by connecting all the regions that are close to black to whether the color of each pixel approaches white or black.
  • this application by determining the boundary value of the dark-colored connected area, it is determined that the final dark-colored connected area is a backlit area.
  • the embodiment of the present application obtains the color lightness value of each pixel in the HSL color space of the image, and judges that the color of each pixel approaches white or black based on the color brightness value of each pixel.
  • the color of each pixel is traversed to obtain the boundary value of the dark connected area to determine that it is a backlight area.
  • the embodiment of the present application is convenient for a user to judge a pixel color according to a color lightness value of each pixel, thereby determining a boundary value of a dark-colored connected area to determine a backlight region. This optimizes the backlight area and improves the image quality in photos or videos.
  • the method for identifying a backlight region in this embodiment may be performed by any appropriate device having the ability to identify a backlight region, including but not limited to: various device terminals or servers, including but not limited to a PC, a tablet computer, a mobile terminal, and the like.
  • step S103 of the method includes:
  • step S1031 the colors of each pixel in the image are sequentially traversed to obtain a dark connected area where the pixel colors all approach black.
  • the color of each pixel in the image is sequentially traversed to obtain whether the color of each pixel approaches black or white. If it approaches black, the pixels are connected to obtain a dark connected area where the pixel colors are all black.
  • the step S 1031 includes:
  • Step S 1031 The color of each pixel in the image is sequentially traversed in columns or rows, and the color of each pixel in each column or each row is compared.
  • the color of each pixel in the image is sequentially traversed in columns or rows, thereby ensuring that the traversal of each pixel improves the efficiency of the traversal and facilitates the connection of the dark connected areas.
  • Step S10312 According to the colors of the pixels obtained by comparison, a dark connected area where the pixel colors are all black is obtained.
  • the color of each pixel is compared to determine whether adjacent pixels can form a dark connected area. In this way, the pixel colors obtained by the comparison can be used to obtain a dark connected area where the pixel colors are all black.
  • the step S 10312 is specifically:
  • a flood-filling algorithm is used to obtain a dark connected area where the pixel colors are all black according to the colors of the pixels.
  • the flood fill algorithm fills a connected area like a flood.
  • a connected area like a flood.
  • the flooding algorithm can be used to mark or separate a part of the image, and it can implement functions similar to the Windows paint bucket, or the magic wand selection function in PS.
  • the flood fill algorithm is most commonly implemented with four neighborhood pixel fill methods, eight neighborhood pixel fill methods, and scan line based fill methods. According to the code implementation can be divided into recursive and non-recursive.
  • a flood-filling algorithm similar to a paint bucket is used to obtain a dark connected area where the pixel colors are all black.
  • the embodiment of the present application can separate the dark connected area from other areas, and ensure the accuracy and simplicity of operation.
  • Step S1032 The dark connected areas are merged, and the boundaries of the merged dark connected areas are statistically determined to determine that they are backlit areas.
  • This application combines the dark connected areas, and calculates the boundaries of the dark connected areas obtained by the combination, and determines the backlight area according to the boundaries.
  • the step S 1032 is specifically:
  • the difference between the color lightness value of the pixel and the color lightness value of an adjacent pixel is greater than a preset value, it is determined that the pixel is a boundary pixel of the backlight region.
  • the light source is at the far end, the subject is in the middle, and the camera is at the forefront. So the backlit image, background and foreground will have very clear boundaries.
  • it is determined whether the color brightness value of a pixel differs from the color brightness value of an adjacent pixel by more than a preset value to determine whether the pixel is a boundary pixel, thereby determining the boundary value of the dark connected area.
  • the color brightness value (L) is compared to determine the boundary of the merged dark-colored connected region, and the merged dark-colored connected region can be accurately distinguished from other regions to be determined as the backlight region. .
  • the weighted average value of the color lightness value (L) of each pixel is calculated, and iteratively iterates toward the interior of the image until a large difference is found, and the The boundary of the merged dark connected region.
  • this application uses the weighted average of the color lightness value (L) of each pixel to perform internal iteration without segmentation, and uses the difference of the weighted average to determine whether the boundary pixel is determined, which can achieve more accurate boundary pixel determination, and thus more Accurately determine the backlight area.
  • the embodiment of the present application obtains the color lightness value of each pixel in the HSL color space of the image, and judges that the color of each pixel approaches white or black based on the color brightness value of each pixel.
  • the color of each pixel is traversed to obtain the boundary value of the dark connected area to determine that it is a backlight area.
  • the embodiment of the present application is convenient for a user to judge a pixel color according to a color lightness value of each pixel, thereby determining a boundary value of a dark-colored connected area to determine a backlight region. This optimizes the backlight area and improves the image quality in photos or videos.
  • the method for identifying a backlight region in this embodiment may be performed by any appropriate device having the ability to identify a backlight region, including but not limited to: various device terminals or servers, including but not limited to a PC, a tablet computer, a mobile terminal, and the like.
  • FIG. 4 a structural block diagram of a device for identifying a backlight region according to Embodiment 3 of the present application is shown.
  • the space conversion module 401 is configured to perform color space transfer on the obtained image to obtain a color brightness value of each pixel of the image in the HSL color space.
  • the color determining module 402 is configured to determine, according to the color lightness value of each pixel, that the color of each pixel approaches white or black.
  • the area determining module 403 is configured to traverse the colors of the pixels to obtain the boundary value of the dark connected area to determine that it is a backlight area.
  • the image obtained in the embodiment of the present application includes a captured image or an image downloaded through the Internet.
  • the image described in the embodiment of the present application includes an image in a photo or an image captured in a video.
  • HSL color mode is a color standard in the industry. It is obtained by changing the three color channels of hue (H), saturation (S), and lightness (L) and superimposing them on each other. HSL is the color representing the three channels of hue, saturation, and lightness. This standard includes almost all colors that human vision can perceive. It is one of the most widely used color systems.
  • the color brightness value (L) of each pixel of the image in the HSL color space is obtained by performing color space transfer on the image.
  • the color lightness value (L) of each pixel is determined. Based on the size of the color lightness value (L), it can be determined whether the color of the pixel approaches white or black.
  • Step S103 traverse the colors of the pixels to obtain the boundary value of the dark connected region to determine that it is a backlight region.
  • the present application obtains a dark-colored connected region by connecting all the regions that are close to black to whether the color of each pixel approaches white or black.
  • this application by determining the boundary value of the dark-colored connected area, it is determined that the final dark-colored connected area is a backlit area.
  • the embodiment of the present application obtains the color lightness value of each pixel in the HSL color space of the image, and judges that the color of each pixel approaches white or black based on the color brightness value of each pixel The color of each pixel is traversed to obtain the boundary value of the dark connected area to determine that it is a backlight area.
  • the embodiment of the present application is convenient for a user to judge a pixel color according to a color brightness value of each pixel, thereby determining a boundary value of a dark-colored connected area to determine a backlight region. This optimizes the backlight area and improves the image quality in photos or videos.
  • the method for identifying a backlight region in this embodiment may be performed by any appropriate device having the ability to identify a backlight region, including but not limited to: various device terminals or servers, including but not limited to a PC, a tablet computer, a mobile terminal, and the like.
  • This embodiment includes the aforementioned space conversion module 401, a color determination module 402, and an area determination module 403.
  • the area determining module 403 includes:
  • the color traversal unit 4031 is configured to sequentially traverse the colors of the pixels in the image to obtain a dark connected area in which the colors of the pixels are close to black.
  • the statistical merging unit 4032 is configured to merge the dark connected areas, and statistically obtain the boundaries of the merged dark connected areas to determine that they are backlit areas.
  • the color of each pixel in the image is sequentially processed. Over time, it is obtained whether the color of each pixel approaches black or white. If it approaches black, the pixels are connected to obtain a dark connected area where the pixel colors are all black.
  • the color traversal unit 4031 includes:
  • the traversal subunit 4031 1 is configured to sequentially traverse the color of each pixel in the image in a column or a row, and compare the color of each pixel in each column or each row;
  • the connected sub-unit 40312 is configured to obtain the color of each pixel obtained according to the comparison, and obtain a dark connected area where the pixel colors are all black.
  • the color of each pixel in the image is sequentially traversed in columns or rows, thereby ensuring that the traversal of each pixel improves the efficiency of the traversal and facilitates the connection of the dark connected areas.
  • the pixel colors obtained by the comparison can be used to obtain a dark connected area where the pixel colors are all black.
  • the connected sub-unit 40312 is specifically configured to:
  • a flood-filling algorithm is used to obtain a dark connected area where the pixel colors are all black according to the colors of the pixels.
  • the flood fill algorithm fills a connected area like a flood.
  • a connected area like a flood.
  • the flooding algorithm can be used to mark or separate a part of the image, and it can implement functions similar to the Windows paint bucket, or the magic wand selection function in PS.
  • the flood fill algorithm is most commonly implemented with four neighborhood pixel fill methods, eight neighborhood pixel fill methods, and scan line based fill methods. According to the code implementation can be divided into recursive and non-recursive.
  • a flooded filling algorithm similar to a paint bucket or a magic wand is used to obtain a dark connected area where the pixel colors are black.
  • the embodiment of the present application can separate the dark connected area from other areas, and ensure the accuracy and simplicity of operation.
  • This application combines the dark connected areas, and calculates the boundaries of the dark connected areas obtained by the combination, and determines the backlight area according to the boundaries.
  • the statistical merging unit is specifically configured to: If the difference between the color lightness value of the pixel and the color lightness value of an adjacent pixel is greater than a preset value, it is determined that the pixel is a boundary pixel of the backlight region.
  • the light source is at the far end, the subject is in the middle, and the camera is at the forefront. So the backlit image, background and foreground will have very clear boundaries.
  • it is determined whether the color brightness value of a pixel differs from the color brightness value of an adjacent pixel by more than a preset value to determine whether the pixel is a boundary pixel, thereby determining the boundary value of the dark connected area.
  • the color brightness value (L) is compared to determine the boundary of the merged dark-colored connected region, and the merged dark-colored connected region can be accurately distinguished from other regions to be determined as the backlight region. .
  • the weighted average value of the color lightness value (L) of each pixel is calculated, and iteratively iterates toward the interior of the image until a large difference is found, which can be obtained The boundary of the merged dark connected region.
  • this application uses the weighted average of the color lightness value (L) of each pixel to perform internal iteration without segmentation, and uses the difference of the weighted average to determine whether the boundary pixel is determined, which can achieve more accurate boundary pixel determination, and thus more Accurately determine the backlight area.
  • the embodiment of the present application obtains the color lightness value of each pixel in the HSL color space of the image, and judges that the color of each pixel approaches white or black based on the color brightness value of each pixel.
  • the color of each pixel is traversed to obtain the boundary value of the dark connected area to determine that it is a backlight area.
  • the embodiment of the present application is convenient for a user to judge a pixel color according to a color lightness value of each pixel, thereby determining a boundary value of a dark-colored connected area to determine a backlight region. This optimizes the backlight area and improves the image quality in photos or videos.
  • the method for identifying a backlight region in this embodiment may be performed by any appropriate device having the ability to identify a backlight region, including but not limited to: various device terminals or servers, including but not limited to a PC, a tablet computer, a mobile terminal, and the like.
  • FIG. 7 a structural block diagram of a device / terminal / server according to Embodiment 5 of the present application is shown.
  • the specific embodiment of the present application does not limit the specific implementation of the device / terminal / server.
  • the device / terminal / server may include: one or more processors
  • processor processing circuit
  • memory storage device
  • the processor 702 is configured to execute a program 706, and may specifically perform related steps in the foregoing embodiment of the method for identifying a backlight region.
  • the program 706 may include program code, where the program code includes a computer operation instruction.
  • the processor 702 may be a central processing unit CPU, or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.
  • the device / terminal / server includes one or more processors, which can be processors of the same type, such as one or more CPUs; or different types of processors, such as one or more CPUs and one or more ASICs .
  • the storage device 704 is configured to store one or more programs 706.
  • the storage device 704 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.
  • the program 706 may be specifically configured to cause the processor 702 to perform the following operations: transfer the obtained image to a color space, and obtain a color brightness value of each pixel of the image in an HSL color space; and judge according to the color brightness value of each pixel The color of each pixel approaches white or black; the color of each pixel is traversed to obtain the boundary value of the dark connected region to determine that it is a backlight region.
  • the program 706 is further configured to sequentially traverse the colors of the pixels in the image to obtain a dark connected area where the pixel colors all approach black; merge the dark connected areas, The boundaries of the merged dark connected areas are determined to determine that they are backlit areas.
  • the program 706 is further configured to sequentially traverse the colors of each pixel in the image in columns or rows, and compare the colors of each pixel in each column or each row; The color of each pixel is described to obtain a dark connected area where the pixel colors are all black.
  • the program 706 is further configured to use a flood-fill algorithm to obtain a dark connected area where the pixel colors are all black according to the colors of the pixels.
  • the program 706 is further configured to determine that the pixel is a border pixel of a backlight region if the difference between the color brightness value of the pixel and the color brightness value of an adjacent pixel is greater than a preset value.
  • the embodiments of the present application perform element segmentation on the obtained image according to the segmentation rule.
  • the segmented element feature information is processed, and an image element corresponding to the instruction is obtained for a personalized operation according to a received user instruction.
  • Embodiments of the present application may segment image elements in an image and perform personalized operations on the image elements.
  • the embodiment of the present application is convenient for a user to flexibly personalize an image element in an image obtained by shooting or downloading, so that the object of the personalized operation is richer, and the user operation can be better personalized.
  • the embodiment of the present application obtains the color lightness value of each pixel of the image in the HSL color space, and determines, according to the color lightness value of each pixel, that the color of each pixel is closer to white or closer to black.
  • the color of the pixel is traversed to obtain the boundary value of the dark connected area to determine that it is a backlit area.
  • the embodiment of the present application is convenient for a user to judge a pixel color according to a color lightness value of each pixel, so as to determine a boundary value of a dark connected area to determine a backlight area. This optimizes the backlight area and improves the image quality in photos or videos.
  • each component / step described in the embodiment of the present application may be split into more components / steps, or two or more components / steps or partial operations of components / steps may be combined into New components / steps to achieve the purpose of the embodiments of the present application.
  • the process described above with reference to the flowchart may be implemented as a computer software program.
  • embodiments of the present disclosure include a computer program product including a computer program carried on a computer-readable medium, the computer program containing program code for performing a method shown in a flowchart.
  • the computer program may be downloaded and installed from a network through a communication section, and / or installed from a removable medium.
  • CPU central processing unit
  • the aforementioned functions defined in the method of the present application are executed.
  • the computer-readable medium described in this application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the foregoing.
  • the computer-readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable memories Programming read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the foregoing.
  • a computer-readable storage medium may be any tangible medium containing or storing a program, and the program may be used by or in combination with an instruction execution system, apparatus, or device.
  • a computer-readable signal medium may include a data signal that is included in baseband or propagated as part of a carrier wave, which carries a computer-readable program code code. Such a propagated data signal may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • the computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, and the computer-readable medium may send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device .
  • Program code embodied on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
  • Computer program code for performing the operations of the present application may be written in one or more programming languages or a combination thereof, the programming languages including an object-oriented programming language such as Java, Smalltalk, C ++, and also conventional A procedural programming language such as "C" or a similar programming language.
  • the program code can be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer, partly on a remote computer, or entirely on a remote computer or server.
  • the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as through the Internet using an Internet service provider) Connection).
  • LAN local area network
  • WAN wide area network
  • Internet service provider Internet service provider
  • each block in the flowchart or block diagram may represent a module, a program segment, or a portion of a code, which module, program segment, or part of the code contains one or more functions for implementing a specified logical function Executable instructions.
  • the functions marked in the blocks may also occur in a different order than those marked in the drawings. For example, two blocks represented one after the other may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved.
  • each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts may be implemented in a dedicated hardware-based system that performs the specified function or operation. Or, it can be implemented by a combination of dedicated hardware and computer instructions.
  • a processor includes a receiving unit, a parsing unit, an information selecting unit, and a generating unit. Wherein, the names of these units do not constitute a limitation on the unit itself in some cases, for example, the receiving unit may also be described as a "receiving a user's web browsing request. Yuan. "
  • the present application also provides a computer-readable storage medium having stored thereon a computer program, which is executed by a processor to implement a method as described in any one of the foregoing embodiments.
  • the present application further provides a computer-readable medium, which may be included in the device described in the foregoing embodiments; or may exist alone without being assembled into the device.
  • the above computer-readable medium carries one or more programs, and when the one or more programs are executed by the device, the device is caused to: perform element segmentation on the obtained image according to a segmentation rule to obtain element feature information in the image Processing the element feature information to obtain an image element corresponding to the element feature information; obtaining an image element corresponding to the instruction according to a received user instruction, and performing a personalized operation according to the image element.

Abstract

Les modes de réalisation de la présente invention concernent un procédé et un appareil d'identification d'une région de rétroéclairage, et un dispositif/terminal/serveur. Le procédé comporte les étapes consistant à: réaliser un transfert d'espace de couleurs sur une image obtenue pour obtenir un valeur de luminosité de couleur de chaque pixel de l'image dans un espace de couleurs HSL; déterminer si la couleur de chaque pixel est proche du blanc ou proche du noir d'après la valeur de luminosité de couleur de chaque pixel; et parcourir les couleurs de tous les pixels pour obtenir une valeur limite d'une région de raccordement de couleur sombre afin de déterminer que la région de raccordement de couleur sombre est une région de rétroéclairage. Au moyen des modes de réalisation de la présente invention, un utilisateur peut facilement déterminer une couleur de pixel selon une valeur de luminosité de couleur de chaque pixel, de façon à déterminer une valeur limite d'une région de raccordement de couleur sombre pour déterminer une région de rétroéclairage, optimisant ainsi la région de rétroéclairage et améliorant la qualité d'images dans des photographies ou des vidéos.
PCT/IB2018/056488 2018-08-17 2018-08-27 Procédé et appareil d'identification d'une région de rétroéclairage, et dispositif/terminal/serveur WO2020035723A1 (fr)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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