WO2024251063A1 - 增益图编码方法、解码方法、装置、设备及介质 - Google Patents

增益图编码方法、解码方法、装置、设备及介质 Download PDF

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Publication number
WO2024251063A1
WO2024251063A1 PCT/CN2024/096983 CN2024096983W WO2024251063A1 WO 2024251063 A1 WO2024251063 A1 WO 2024251063A1 CN 2024096983 W CN2024096983 W CN 2024096983W WO 2024251063 A1 WO2024251063 A1 WO 2024251063A1
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Prior art keywords
image block
gain map
target image
information
encoding
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PCT/CN2024/096983
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English (en)
French (fr)
Inventor
赵志杰
周燎
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Vivo Mobile Communication Co Ltd
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Vivo Mobile Communication Co Ltd
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Priority to EP24818595.1A priority Critical patent/EP4727128A1/en
Publication of WO2024251063A1 publication Critical patent/WO2024251063A1/zh
Priority to US19/410,539 priority patent/US20260105642A1/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Definitions

  • the present application belongs to the field of communication technology, and specifically relates to a gain map encoding method, decoding method, device, equipment and medium.
  • gain map as additional information will increase the storage space of the image.
  • the storage space of gain map can be reduced by downsampling and then compressing and encoding for storage, the downsampling process will lose some information, affecting the quality of gain map image, and thus affecting the image quality of reconstructed image.
  • the purpose of the embodiments of the present application is to provide a gain map encoding method, decoding method, device, equipment and medium, which can solve the problem that the existing gain map encoding method affects the image quality of the reconstructed image.
  • the target image block identification information and the image block group are encoded to obtain encoding information of the gain map.
  • an embodiment of the present application provides a gain map encoding device, including:
  • a first acquisition module used to acquire at least one target image block in the gain map, wherein the brightness of pixels in the target image block is greater than a first threshold
  • a first processing module configured to determine target image block identification information and an image block group of the gain map according to the at least one target image block;
  • the second processing module is used to encode the target image block identification information and the image block group to obtain encoding information of the gain map.
  • an embodiment of the present application provides a gain map decoding method, including:
  • the gain map is reconstructed according to the image block group and the target image block identification information.
  • an embodiment of the present application provides a gain map decoding device, including:
  • a second acquisition module used to acquire encoding information of the gain map
  • a decoding module used for decoding the coded information to obtain the image block group and target image block identification information
  • a reconstruction module is used to reconstruct the gain map according to the image block group and the target image block identification information.
  • an embodiment of the present application provides an electronic device, comprising a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the programs or instructions are executed by the processor, the steps of the method described in the first aspect or the third aspect are implemented.
  • an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored.
  • the program or instruction is executed by a processor, the steps of the method described in the first aspect or the third aspect are implemented.
  • an embodiment of the present application provides a chip, which includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the method described in the first aspect or the third aspect.
  • an embodiment of the present application provides a computer program product, which is stored in a storage medium and is executed by at least one processor to implement the method described in the first aspect or the third aspect.
  • an embodiment of the present application provides an electronic device, which is configured to execute the method described in the first aspect.
  • the identification information of the at least one target image block and the image block group including the at least one target image block can be determined for the at least one target image block, so as to encode them and obtain the encoding information of the gain map.
  • the effective image of the gain map is retained for encoding, which improves the encoding efficiency, reduces the storage space, and can also improve the image quality of the reconstructed image.
  • Figure 1 is one of the schematic diagrams of gain map application
  • Figure 2 is the second schematic diagram of gain map application
  • FIG3 is a schematic diagram of a method flow chart of an embodiment of the present application.
  • Figure 4 is one of the gain map division diagrams
  • Figure 5 is the second schematic diagram of gain map division
  • Figure 6 is the third schematic diagram of gain map division
  • Figure 7 is the fourth schematic diagram of gain map division
  • FIG8 is a schematic diagram of source image block index value allocation
  • FIG9 is a schematic diagram of a target image block combination
  • FIG10 is a schematic diagram of target image block identification information
  • FIG11 is a schematic diagram of downsampling of image block groups
  • FIG12 is a second schematic diagram of a method flow chart of an embodiment of the present application.
  • FIG13 is a schematic diagram of a method application process according to an embodiment of the present application.
  • FIG14 is a second schematic diagram of the method application process of an embodiment of the present application.
  • FIG15 is a schematic diagram of decoding of a picture block group
  • FIG16 is a third schematic diagram of the method application process of an embodiment of the present application.
  • FIG17 is a fourth schematic diagram of the method application flow of an embodiment of the present application.
  • FIG18 is a second schematic diagram of image block group decoding
  • FIG19 is a schematic diagram of a module structure of a device according to an embodiment of the present application.
  • FIG20 is a second schematic diagram of the module structure of the device according to an embodiment of the present application.
  • FIG21 is a schematic diagram of the structure of an electronic device according to an embodiment of the present application.
  • FIG. 22 is a schematic diagram of the structure of an electronic device according to another embodiment of the present application.
  • first, second, etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first”, “second”, etc. are generally of one type, and the number of objects is not limited.
  • the first object can be one or more.
  • “and/or” in the specification and claims represents at least one of the connected objects, and the character “/" generally indicates that the objects associated with each other are in an "or” relationship.
  • Gain map (also called gain map or enhancement map) is usually generated when capturing HDR images. As an additional information, it can be stored in a specific file format, such as stored in the format of the image or stored as additional information of a certain image format, and then encoded and transmitted. When displayed, the gain map is decoded. The gain map is generated based on the HDR image and its corresponding SDR image after tone mapping.
  • the use of gain map can be SDR and Gain map to generate the corresponding HDR image, or HDR and Gain map to generate the corresponding SDR image, as shown in Figures 1 and 2. In both formats, the Gain map needs to be stored.
  • the area in the HDR image that needs to be brightened by gain map is limited. This is mainly because: 1) If the brightened area is too large, the large area of brightened area will cause an uncomfortable visual experience to the human eye. Therefore, when generating the gain map, it is necessary to consider appropriately controlling the area of the brightened area. 2) If the brightened area is too large, the visual experience advantage brought by HDR will be reduced. 3) In the natural content captured, the highlighted area is usually limited.
  • a gain map encoding method includes:
  • Step 301 Obtain at least one target image block in a gain map, wherein the brightness of pixels in the target image block is greater than a first threshold.
  • the first threshold is a preset brightness threshold.
  • at least one target image block in the gain map including pixels (highlighted pixels) with brightness greater than the first threshold is selected through the first threshold, so that only the encoding information related to the at least one target image block is subsequently generated, and redundant image blocks in the gain map are eliminated.
  • Step 302 Determine target image block identification information and an image block group of the gain map according to the at least one target image block.
  • the target image block identification information is the identification information of the at least one target image block, and the image block group includes the at least one target image block. That is, in this step, after executing step 301, it will be possible to further determine the identification information of the target image block in the gain map, and the image block group including the target image block.
  • Step 303 Encode the target image block identification information and the image block group to obtain encoding information of the gain map.
  • the identification information of the at least one target image block and the image block group including the at least one target image block can be determined for the at least one target image block, so as to encode them and obtain the encoding information of the gain map.
  • the effective image of the gain map is retained for encoding, which improves the encoding efficiency, reduces the storage space, and can also improve the image quality of the reconstructed image.
  • the gain map is generated in the HDR image acquisition node.
  • the original resolution of the gain map is W ⁇ H, so the image resolution A ⁇ B of the target image block is less than or equal to W ⁇ H.
  • obtaining at least one target image block in the gain map includes:
  • the first image resolution is preset.
  • the size of the first image resolution is preset, that is, the size of the source image block.
  • the size of the source image block By dividing the gain map according to the first image resolution, one or more source image blocks of the same size as the first image resolution can be obtained, as shown in Figures 4 and 5.
  • a second threshold is also preset, that is, the threshold of the proportion of highlight pixels in the source image block.
  • At least one target image block is identified in at least one source image block, that is, the proportion of highlighted pixels in the obtained target image block is greater than the second threshold.
  • the first image resolution is less than or equal to W ⁇ H, such as 8 ⁇ 8, 16 ⁇ 16, 64 ⁇ 64, 64 ⁇ 32, 16 ⁇ 64, 128 ⁇ 128, 256 ⁇ 256, etc.
  • the second threshold value may be 70% or 80%, etc.
  • obtaining at least one target image block in the gain map includes:
  • a source image block in which the brightness of pixels in the at least one source image block is greater than the first threshold and the proportion is greater than a third threshold is determined as the at least one target image block.
  • the third threshold and the fourth threshold are similar to the above-mentioned second threshold, which are the thresholds of the proportion of highlighted pixels in the source image block.
  • the first condition is pre-set through the restrictions of the third threshold and the fourth threshold, so that the second image resolution can ensure that the obtained source image block can be divided into two categories, one is the source image block with a larger proportion of highlighted pixels, and the other is the source image block with a smaller proportion of highlighted pixels.
  • the applicable second image resolution can be determined in combination with the size of the target area (which can also be understood as the area) and the first condition.
  • source image blocks in which the proportion of highlighted pixels is greater than the third threshold and source image blocks in which the proportion of highlighted pixels is less than the fourth threshold are obtained.
  • the target image block is determined, that is, the source image block in which the proportion of highlighted pixels is greater than the third threshold.
  • the process of determining the second image resolution is a process of adaptively adjusting the image resolution based on the size of the target area and the first condition. For example, after the image resolution A1 ⁇ B1 is first determined, the gain map is segmented based on the image resolution A1 ⁇ B1, and multiple image blocks as shown in Figure 6 are obtained. Since there are image blocks (dashed area in the figure) that do not meet the first condition, the image resolution needs to be further adjusted. After the gain map is segmented based on the image resolution A2 ⁇ B2 to obtain multiple image blocks that meet the first condition as shown in Figure 7, the image resolution A2 ⁇ B2 is determined as the second image resolution.
  • the third threshold may be the same as or different from the second threshold.
  • the value of the third threshold may be 90% or 95% or the like, and the value of the fourth threshold may be 10% or 5% or the like.
  • the shape of the source image block may be a square, as shown in FIG. 4 ; or a rectangle, as shown in FIG. 5 .
  • the identification of the target area and the target image block can be achieved based on artificial intelligence learning, which will not be elaborated here.
  • the target image block identification information and the image block group of the gain map are determined according to the at least one target image block;
  • the step of determining the target image block identification information and the image block group of the gain map according to the at least one target image block comprises:
  • the at least one target image block is reorganized according to a first strategy to generate the image block group; wherein the first strategy indicates the way in which the at least one target image block is combined.
  • the target image block identification information is used to indicate the position information of at least one target image block in the gain map. For example, after the gain map is segmented, the source image block index values are assigned from 0 in a predetermined order, such as from left to right (as shown in FIG8 ) or from top to bottom (not shown in the figure), so the target image block identification information can be generated based on the index value.
  • the first strategy is pre-set and is used to indicate the way in which the target image blocks are combined.
  • the target image blocks are combined horizontally in the order of index values, or vertically in the order of index values, or zig-zag in the order of index values.
  • the combination is performed in the order of index values to facilitate decoding and reconstruction at the decoding end.
  • target image block combination method can also be implemented in other ways, not limited to that shown in the figure.
  • the target image block identification information is bit information, each bit of information corresponds to a source image block in the gain map, and indicates whether the source image block is the target image block.
  • each bit information can be preset to indicate whether the source image block is the target image block. For example, when the bit information is "1”, it indicates that the source image block is the target image block, and when the bit information is "0", it indicates that the source image block is the target image block; or, when the bit information is "0", it indicates that the source image block is the target image block, and when the bit information is "1", it indicates that the source image block is the target image block.
  • the gain map is divided into 16 source image blocks, and each source image block index value is assigned from left to right to 0 to 15.
  • the target image block identification information (also called a brightened block identification) is 16-bit information "0000100000100000".
  • the target image block identification information in addition to the brightened block identification, also needs to include the source image block index value to assist the decoding end in determining the position of the target image block for successful decoding.
  • the encoding of the gain map can be achieved by encoding the target image block identification information and the image block group respectively.
  • encoding the target image block identification information and the image block group to obtain encoding information of the gain map includes:
  • the encoding information of the gain map is obtained according to the first information and the second information.
  • the image block group is first downsampled to obtain the image to be coded, and then the obtained image to be coded is encoded, as shown in Figure 11.
  • the image block group is downsampled, such as 1/4 downsampling or 1/16 downsampling.
  • encoding the target image block identification information and the image block group to obtain encoding information of the gain map includes:
  • the encoding information of the gain map is obtained according to the first information and the third information.
  • the encoding information of the gain map includes the first information and the third information.
  • the encoding of the target image block identification information can be processed by using encoding methods such as Run-Length Encoding or other encoding methods.
  • the image block group can be encoded according to the encoding standards such as JPEG, AVIF, HEIF, etc.
  • spatial redundant information is usually removed by spatial transformation such as Discrete Cosine Transform (DCT) or DCT-like transformation (such as DCT-like integer transformation in video and image compression standards). Due to the characteristics of DCT transformation, the redundancy removal efficiency of flat areas is high.
  • DCT Discrete Cosine Transform
  • DCT-like transformation such as DCT-like integer transformation in video and image compression standards Due to the characteristics of DCT transformation, the redundancy removal efficiency of flat areas is high.
  • the encoding method adopted for the image block group or the image to be encoded may be lossless compression or lossy compression.
  • the method further comprises:
  • the encoding information and the auxiliary information are stored.
  • the auxiliary information is target image block identification information and related information used for independent encoding of image block groups.
  • the auxiliary information is stored together with the gain map encoding information, which can facilitate decoding of the gain map encoding information based on the auxiliary information.
  • auxiliary information can also be understood as metadata (Meta data).
  • the auxiliary information includes at least one of the following:
  • the at least one target image block is reorganized using a strategy.
  • the original resolution of the gain map is usually the same as the resolution of the HDR/SDR image, the original resolution of the gain map is not necessary in the auxiliary information.
  • the index of at least one target image block is determined after allocating the index of the source image block, and can indicate the position of the target image block, such as the partition block index value shown in FIG. 10 .
  • the auxiliary information can indicate whether the encoding information of the gain map includes the first information and the second information by including whether it is encoded for the target image block, so that the decoding end can achieve effective decoding.
  • the encoding method is at least one of an encoding method of a target image block and an encoding method of identification information of the target image block.
  • the down-sampling ratio is the ratio used for down-sampling the image block group after the image block group is determined, such as 1/4 or 1/16.
  • the auxiliary information may also include other contents, which are not listed here one by one.
  • the identification information of the at least one target image block and the image block group including the at least one target image block can be determined for the at least one target image block, so as to encode them and obtain the encoding information of the gain map.
  • the effective image of the gain map is retained for encoding, which improves the encoding efficiency, reduces the storage space, and can also improve the image quality of the reconstructed image.
  • a gain map decoding method includes:
  • Step 1201 obtaining encoding information of a gain map
  • Step 1202 decoding the coded information to obtain the image block group and target image block identification information
  • Step 1203 reconstruct the gain map according to the image block group and the target image block identification information.
  • the image block group and the target image block identification information are obtained by decoding it, and the gain map is further reconstructed according to the image block group and the target image block identification information.
  • obtaining the encoding information of the gain map may be extracting the encoding information of the gain map from the storage space; if the decoding end is different from the encoding end, obtaining the encoding information of the gain map may be the encoding information of the gain map received by the decoding end from the encoding end.
  • the gain map is needed, such as generating an SDR/HDR image
  • the stored encoding information is decoded to obtain the image block group and the target image block identification information.
  • the gain map is further reconstructed based on the decoded image block group and the target image block identification information.
  • reconstructing the gain map according to the image block group and the target image block identification information includes:
  • the first strategy indicates the manner in which the at least one target image block is combined.
  • At least one target image block is first restored; and then the gain map is reconstructed based on the at least one target image block and the decoded target image block identification information.
  • the target image block identification information is bit information, each bit of information corresponds to a source image block in the gain map, and indicates whether the source image block is the target image block.
  • the encoding information of the gain map includes first information and second information
  • decoding the encoding information to obtain the image block group and the target image block identification information includes:
  • the decoded image is up-sampled to obtain the target image block group
  • the first information is decoded to obtain the target image block identification information.
  • the decoded image is upsampled to obtain a target image block group.
  • the encoding information of the gain map includes first information and third information
  • decoding the encoding information to obtain the image block group and target image block identification information includes:
  • the first information is decoded to obtain the target image block identification information.
  • the target image block group will be directly obtained after decoding the third information.
  • the auxiliary information used in the encoding can also be combined to achieve effective decoding.
  • the auxiliary information is extracted from the storage space together with the encoding information of the gain map, or is received together with the encoding information of the gain map.
  • the method after reconstructing the gain map according to the image block group and the target image block identification information, the method further includes:
  • An SDR image is reconstructed and generated according to the gain map and the HDR image.
  • the required HDR image or SDR image is generated.
  • this method is implemented in conjunction with the gain map encoding method of the above embodiment.
  • the implementation of the above method embodiment is applicable to this method and can achieve the same technical effect.
  • a gain map is generated during the HDR image acquisition phase.
  • the gain map brightening area is identified, that is, the target area (brightening area) in the gain map whose pixel points are greater than the first threshold is identified.
  • the gain map brightening area block is determined, that is, after determining the second image resolution based on the size of the brightening area and the first condition, the gain map is divided into at least one source image block based on the second image resolution, and at least one target image is determined therefrom.
  • the gain map brightened area block is reorganized, that is, at least one target image block is reorganized according to the first strategy.
  • the reorganized brightened area block is encoded.
  • the encoding information of the gain map includes not only the encoding information of the reorganized brightened area block, but also the encoding information of the target image block identification information.
  • the steps of generating the target image block identification information and encoding the target image block identification information are not shown in the figure.
  • the saved image format is an SDR image and the corresponding gain map encoding information
  • the gain map is reconstructed.
  • the gain map of the original resolution is reconstructed based on the auxiliary information (such as the first image resolution, the second image resolution, the original image resolution of the gain map, the index of the target image block), and the decoded gain map image block group and target image block identification information, as shown in Figure 15.
  • an HDR image is generated.
  • the decoding end is also the encoding end, before decoding, it is only necessary to extract the encoding information and corresponding auxiliary information of the gain map to be decoded from the storage space, and then perform decoding; if the decoding end is different from the encoding end, before decoding, it is necessary to receive the encoding information and corresponding auxiliary information of the gain map to be decoded sent by the encoding end, and then perform decoding.
  • a gain map is generated in the HDR image acquisition stage.
  • the gain map brightening area recognition is performed, that is, the target area (brightening area) in the gain map whose pixel points are greater than the first threshold is identified.
  • the gain map brightening area block is determined, that is, after determining the second image resolution based on the size of the brightening area and the first condition, the gain map is divided into at least one source image block based on the second image resolution, and at least one target image block (brightening area block) is determined therefrom.
  • the gain map brightening area block is reorganized, that is, at least one target image block is reorganized according to the first strategy.
  • the reorganized brightening area block is downsampled, that is, the reorganized brightening area block is downsampled according to 1/4 or 1/6.
  • the downsampled reorganized brightening area block is encoded.
  • the encoding information of the gain map includes not only the encoding information of the reorganized brightening area block, but also the encoding information of the target image block identification information. The steps of generating the target image block identification information and encoding the target image block identification information are not shown in the figure.
  • the saved image format is an SDR image and the corresponding encoding information of the gain map
  • the next step is to upsample the decoded reconstructed brightened area blocks.
  • the next step is to reconstruct the gain map.
  • the gain map of the original resolution is reconstructed based on the auxiliary information (such as the first image resolution, the second image resolution, the original image resolution of the gain map, the index of the target image block), and the image block group and target image block identification information of the upsampled gain map, as shown in Figure 18.
  • the next step is to generate an HDR image based on the reconstructed gain map and the SDR image.
  • the corresponding decoding process is similar to the above process, except that the generated SDR image is based on the decoded HDR image, as well as the encoded information and auxiliary information of the gain map.
  • the gain map can be a single channel or multiple channels such as R/G/B.
  • the gain map encoding method provided in the embodiment of the present application may be executed by a gain map encoding device.
  • the gain map encoding method executed by the gain map encoding device is taken as an example to illustrate the gain map encoding device provided in the embodiment of the present application.
  • a gain map encoding device 1900 includes:
  • a first acquisition module 1910 is used to acquire at least one target image block in the gain map, wherein the brightness of pixels in the target image block is greater than a first threshold;
  • a first processing module 1920 is configured to determine target image block identification information and an image block group of the gain map according to the at least one target image block;
  • the second processing module 1930 is used to encode the target image block identification information and the image block group to obtain encoding information of the gain map.
  • the first acquisition module includes:
  • a third processing submodule configured to divide the gain map into at least one source image block based on the first image resolution
  • a first identification submodule configured to determine, as the at least one target image block, a source image block in which the brightness of pixels in the at least one source image block is greater than the first threshold and the proportion is greater than a second threshold;
  • the first image resolution is preset.
  • the first acquisition module includes:
  • a second identification submodule configured to identify a target area in the gain map based on the first threshold
  • a fourth processing submodule configured to determine the resolution of the second image based on the size of the target area and a first condition, wherein the first condition includes that a proportion of pixels having a brightness greater than the first threshold in each image block after division is greater than a third threshold or less than a fourth threshold;
  • a fifth processing submodule configured to divide the gain map into at least one source image block based on the second image resolution
  • the sixth processing submodule is used to determine, as the at least one target image block, a source image block in which the brightness of pixels in the at least one source image block is greater than the first threshold and the proportion is greater than the third threshold.
  • the first processing module includes:
  • a first processing submodule configured to generate identification information of the target image block according to a position of the at least one target image block in the gain map
  • the second processing submodule is used to reorganize the at least one target image block according to a first strategy to generate the image block group; wherein the first strategy indicates the way in which the at least one target image block is combined.
  • the target image block identification information is bit information, each bit of information corresponds to a source image block in the gain map, and indicates whether the source image block is the target image block.
  • the second processing module includes:
  • a seventh processing submodule configured to encode the target image block identification information to obtain first information
  • an eighth processing submodule configured to downsample the image block group to obtain an image to be encoded
  • a ninth processing submodule configured to encode the image to be encoded to obtain second information
  • a tenth processing submodule is used to obtain encoding information of the gain map according to the first information and the second information.
  • the second processing module is further used for:
  • the encoding information of the gain map is obtained according to the first information and the third information.
  • the device further comprises:
  • a fifth processing module configured to determine auxiliary information used for encoding the gain map
  • a storage module is used to store the coding information and the auxiliary information.
  • the auxiliary information includes at least one of the following:
  • the at least one target image block is reorganized using a strategy.
  • the device further comprises:
  • a third processing module is used for, when the gain map needs to be used, decoding according to the encoding information to obtain the image block group and the target image block identification information;
  • the fourth processing module is used to reconstruct the gain map according to the auxiliary information, the image block group and the target image block identification information.
  • the device After obtaining at least one target image block in the gain map including pixels whose brightness is greater than the first threshold through the first threshold, the device can determine the identification information of the at least one target image block and the image block group including the at least one target image block for the at least one target image block, thereby encoding them to obtain the encoding information of the gain map. In this way, only the effective image of the gain map is retained for encoding, which improves the encoding efficiency, reduces the storage space, and can also improve the image quality of the reconstructed image.
  • the gain map encoding device in the embodiment of the present application can be an electronic device, or a component in the electronic device, such as an integrated circuit or a chip.
  • the electronic device can be a terminal, or it can be other devices other than the terminal.
  • the electronic device can be a mobile phone, a tablet computer, a laptop computer, a PDA, a vehicle-mounted electronic device, a mobile Internet device (Mobile Internet Device, MID), an augmented reality (augmented reality, AR)/virtual reality (virtual reality, VR) device, a robot, a wearable device, an ultra-mobile personal computer (ultra-mobile personal computer, UMPC), a netbook or a personal digital assistant (personal digital assistant, PDA), etc., and can also be a server, a network attached storage (Network Attached Storage, NAS), a personal computer (personal computer, PC), a television (television, TV), a teller machine or a self-service machine, etc., which is not specifically limited in the embodiment of the present application
  • the gain map encoding device in the embodiment of the present application may be a device having an operating system.
  • the operating system may be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.
  • the gain map encoding device provided in the embodiment of the present application can implement each process implemented by the method embodiments of Figures 2 to 18, and will not be described again here to avoid repetition.
  • a gain map decoding device 2000 includes:
  • the second acquisition module 2010 is used to acquire encoding information of the gain map
  • a decoding module 220 configured to decode the coded information to obtain identification information of an image block group and a target image block;
  • the reconstruction module 2030 is configured to reconstruct the gain map according to the image block group and the target image block identification information.
  • the reconstruction module includes:
  • a generating submodule configured to generate at least one target image block based on the first strategy and the image block group;
  • a reconstruction submodule configured to reconstruct the gain map according to the at least one target image block and the target image block identification information
  • the first strategy indicates the manner in which the at least one target image block is combined.
  • the target image block identification information is bit information, each bit of information corresponds to a source image block in the gain map, and indicates whether the source image block is the target image block.
  • the encoding information of the gain map includes first information and second information
  • the decoding module is further used to:
  • the decoded image is up-sampled to obtain the target image block group
  • the first information is decoded to obtain the target image block identification information.
  • the first information is decoded to obtain the target image block identification information.
  • An SDR image is reconstructed and generated according to the gain map and the HDR image.
  • the device After acquiring the encoding information of the encoded gain map, the device decodes the encoding information to obtain the image block group and the target image block identification information, and further reconstructs the gain map according to the image block group and the target image block identification information.
  • the gain map decoding device in the embodiment of the present application may be a device having an operating system.
  • the operating system may be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.
  • the gain map decoding device provided in the embodiment of the present application can implement each process implemented by the method embodiments of Figures 12 to 18, and will not be described again here to avoid repetition.
  • an embodiment of the present application also provides an electronic device 2100, including a processor 2101 and a memory 2102, and the memory 2102 stores a program or instruction that can be executed on the processor 2101.
  • the program or instruction is executed by the processor 2101, the various steps of the above-mentioned gain map encoding method or gain map decoding method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.
  • the electronic devices in the embodiments of the present application include the mobile electronic devices and non-mobile electronic devices mentioned above.
  • FIG. 22 is a schematic diagram of the hardware structure of an electronic device implementing an embodiment of the present application.
  • the electronic device 2200 includes but is not limited to: a radio frequency unit 2201, a network module 2202, an audio output unit 2203, an input unit 2204, a sensor 2205, a display unit 2206, a user input unit 2207, an interface unit 2208, a memory 2209, and a processor 2210 and other components.
  • the electronic device 2200 may also include a power source (such as a battery) for supplying power to each component, and the power source may be logically connected to the processor 2210 through a power management system, so that the power management system can manage charging, discharging, and power consumption.
  • a power source such as a battery
  • the electronic device structure shown in FIG. 1 does not constitute a limitation on the electronic device, and the electronic device may include more or fewer components than shown, or combine certain components, or arrange components differently, which will not be described in detail here.
  • processor 2210 is further configured to:
  • the first image resolution is preset.
  • processor 2210 is further configured to:
  • the at least one target image block is reorganized according to a first strategy to generate the image block group; wherein the first strategy indicates the way in which the at least one target image block is combined.
  • the target image block identification information is bit information, each bit of information corresponds to a source image block in the gain map, and indicates whether the source image block is the target image block.
  • processor 2210 is further configured to:
  • the encoding information of the gain map is obtained according to the first information and the second information.
  • processor 2210 is further configured to:
  • the encoding information and the auxiliary information are stored.
  • the auxiliary information includes at least one of the following:
  • the at least one target image block is reorganized using a strategy.
  • processor 2210 is further configured to:
  • the gain map is reconstructed according to the auxiliary information, the image block group and the target image block identification information.
  • the input unit 2204 may include a graphics processing unit (GPU) 22041 and a microphone 22042.
  • the graphics processor 22041 processes the image data of a static picture or video obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode.
  • the display panel 22061 may be included, and the display panel 22061 may be configured in the form of a liquid crystal display, an organic light emitting diode, etc.
  • the user input unit 2207 includes a touch panel 22071 and at least one of other input devices 22072.
  • the touch panel 22071 is also called a touch screen.
  • the touch panel 22071 may include two parts: a touch detection device and a touch controller.
  • Other input devices 22072 may include, but are not limited to, a physical keyboard, function keys (such as a volume control button, a switch button, etc.), a trackball, a mouse, and a joystick, which will not be repeated here.
  • the memory 2209 can be used to store software programs and various data.
  • the memory 2209 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instructions required for at least one function (such as a sound playback function, an image playback function, etc.), etc.
  • the memory 2209 may include a volatile memory or a non-volatile memory, or the memory 2209 may include both volatile and non-volatile memories.
  • the processor 2210 may include one or more processing units; optionally, the processor 2210 integrates an application processor and a modem processor, wherein the application processor mainly processes operations related to an operating system, a user interface, and application programs, and the modem processor mainly processes wireless communication signals, such as a baseband processor. It is understandable that the modem processor may not be integrated into the processor 2210.
  • the electronic device shown in FIG. 22 can also apply the gain map decoding method shown in the above embodiment, which will not be described in detail here.
  • An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored.
  • a program or instruction is stored.
  • each process of the above-mentioned gain map encoding method or gain map decoding method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.
  • the processor is the processor in the electronic device described in the above embodiment.
  • the readable storage medium includes a computer readable storage medium, such as a computer read-only memory ROM, a random access memory RAM, a magnetic disk or an optical disk.
  • An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned gain map encoding method or gain map decoding method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.
  • the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.
  • An embodiment of the present application provides a computer program product, which is stored in a storage medium.
  • the program product is executed by at least one processor to implement the various processes of the above-mentioned gain map encoding method or gain map decoding method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.
  • the technical solution of the present application can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM/RAM, a disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present application.
  • a storage medium such as ROM/RAM, a disk, or an optical disk
  • a terminal which can be a mobile phone, a computer, a server, or a network device, etc.

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Abstract

本申请公开了一种增益图编码方法、解码方法、装置、设备及介质，属于通信技术领域。本申请的方法，包括：获取增益图中的至少一个目标图像块，目标图像块中像素点的亮度大于第一阈值（301）；根据至少一个目标图像块，确定增益图的目标图像块标识信息和图像块组（302）；对目标图像块标识信息和图像块组进行编码，得到增益图的编码信息（303）。

Description

增益图编码方法、解码方法、装置、设备及介质
相关申请的交叉引用
本申请要求在2023年6月09日提交中国专利局、申请号为202310688306.X、名称为“增益图编码方法、解码方法、装置、设备及介质”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请属于通信技术领域，具体涉及一种增益图编码方法、解码方法、装置、设备及介质。
背景技术
随着图像采集和显示技术的进步，高动态范围成像和显示能够在电子设备(如智能手机、平板)上完成。虽然支持高动态范围静止图像显示的设备越来越多，但是仍然存在大量只支持标准动态范围(Standard Dynamic Range，SDR)的电子设备。兼顾拍摄的高动态范围图像能同时在高动态范围(High-Dynamic Range，HDR)显示设备和SDR显示设备上，呈现良好的显示效果，基于增益图(gain map)的HDR采集、存储和显示方案是业界普遍采用的一种方法。
然而，gain map作为额外的信息会增加图像的存储空间。虽然可以通过下采样后再压缩编码进行存储，来降低gain map的存储空间，但是，下采样过程会损失部分信息，影响gain map图像质量，从而影响重建图像的图像质量。
发明内容
本申请实施例的目的是提供一种增益图编码方法、解码方法、装置、设备及介质，能够解决现有的gain map编码方式影响重建图像的图像质量的问题。
第一方面，本申请实施例提供了一种增益图编码方法，包括：
获取增益图中的至少一个目标图像块，所述目标图像块中像素点的亮度大于第一阈值；
根据所述至少一个目标图像块，确定所述增益图的目标图像块标识信息和图像块组；
对所述目标图像块标识信息和所述图像块组进行编码，得到所述增益图的编码信息。
第二方面，本申请实施例提供了一种增益图编码装置，包括：
第一获取模块，用于获取增益图中的至少一个目标图像块，所述目标图像块中像素点的亮度大于第一阈值；
第一处理模块，用于根据所述至少一个目标图像块，确定所述增益图的目标图像块标识信息和图像块组；
第二处理模块，用于对所述目标图像块标识信息和所述图像块组进行编码，得到所述增益图的编码信息。
第三方面，本申请实施例提供了一种增益图解码方法，包括：
获取增益图的编码信息；
对所述编码信息进行解码，得到图像块组和目标图像块标识信息；
根据所述图像块组和所述目标图像块标识信息，重建所述增益图。
第四方面，本申请实施例提供了一种增益图解码装置，包括：
第二获取模块，用于获取增益图的编码信息；
解码模块，用于对所述编码信息进行解码，得到图像块组和目标图像块标识信息；
重建模块，用于根据所述图像块组和所述目标图像块标识信息，重建所述增益图。
第五方面，本申请实施例提供了一种电子设备，该电子设备包括处理器和存储器，所述存储器存储可在所述处理器上运行的程序或指令，所述程序或指令被所述处理器执行时实现如第一方面或第三方面所述的方法的步骤。
第六方面，本申请实施例提供了一种可读存储介质，所述可读存储介质上存储程序或指令，所述程序或指令被处理器执行时实现如第一方面或第三方面所述的方法的步骤。
第七方面，本申请实施例提供了一种芯片，所述芯片包括处理器和通信接口，所述通信接口和所述处理器耦合，所述处理器用于运行程序或指令，实现如第一方面或第三方面所述的方法。
第八方面，本申请实施例提供一种计算机程序产品，该程序产品被存储在存储介质中，该程序产品被至少一个处理器执行以实现如第一方面或第三方面所述的方法。
第九方面，本申请实施例提供一种电子设备，所述电子设备被配置成用于执行如第一方面所述的方法。
本申请实施例中，在通过第一阈值，获取到增益图中的、包括亮度大于该第一阈值的像素点的至少一个目标图像块后，能够针对该至少一个目标图像块，确定该至少一个目标图像块的标识信息以及包括该至少一个目标图像块的图像块组，从而对其进行编码，得到增益图的编码信息。如此，仅保留了增益图的有效图像进行编码，提升编码效率、减少存储空间的同时，还能够提升重建图像的图像质量。
附图说明
图1是gain map应用示意图之一；
图2是gain map应用示意图之二；
图3是本申请实施例的方法流程示意图之一；
图4是gain map划分示意图之一；
图5是gain map划分示意图之二；
图6是gain map划分示意图之三；
图7是gain map划分示意图之四；
图8是源图像块索引值分配示意图；
图9是目标图像块组合示意图；
图10是目标图像块标识信息示意图；
图11是图像块组下采样示意图；
图12是本申请实施例的方法流程示意图之二；
图13是本申请实施例的方法应用流程示意图之一；
图14是本申请实施例的方法应用流程示意图之二；
图15是图像块组解码示意图之一；
图16是本申请实施例的方法应用流程示意图之三；
图17是本申请实施例的方法应用流程示意图之四；
图18是图像块组解码示意图之二；
图19是本申请实施例的装置的模块结构示意图之一；
图20是本申请实施例的装置的模块结构示意图之二；
图21是本申请实施例的电子设备的结构示意图；
图22是本申请另一实施例的电子设备的结构示意图。
具体实施例
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚地描述，显然，所描述的实施例是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员获得的所有其他实施例，都属于本申请保护的范围。
本申请的说明书和权利要求书中的术语“第一”、“第二”等是用于区别类似的对象，而不用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便本申请的实施例能够以除了在这里图示或描述的那些以外的顺序实施，且“第一”、“第二”等所区分的对象通常为一类，并不限定对象的个数，例如第一对象可以是一个，也可以是多个。此外，说明书以及权利要求中“和/或”表示所连接对象的至少其中之一，字符“/”，一般表示前后关联对象是一种“或”的关系。
为了方便理解，以下对本申请实施例涉及的一些内容进行说明：
Gain map(又称为增益图或者增强图)通常是在采集HDR图像时生成，作为一种额外的信息，可以存储为一种特定的文件格式，比如存储为图像的格式或者存储为某种图像格式的附加信息，然后再进行编码传输。显示时，对gain map进行解码。Gain map是基于HDR图像及其对应的色调映射后的SDR图像生成，gain map的使用可以是SDR和Gain map来生成对应的HDR图像，也可以是HDR和Gain map来生成对应的SDR图像，如图1和图2所示。在这两种格式中，都需要存储Gain map。
而且，基于gain map的HDR方案，HDR图像中需要通过gain map提亮的区域有限。这主要是因为：1)如果提亮的区域过大，大面积的提亮区域会对人眼造成不舒适的观感。因此，生成gain map时，需要考虑适当控制提亮区域的面积。2)如果提亮区域过大，HDR在视觉上带来的体验优势会降低。3)在拍摄的自然界内容中，通常高亮的区域也是有限的。
下面结合附图，通过具体的实施例及其应用场景对本申请实施例提供的增益图编码方法、解码方法、装置、设备及介质进行详细地说明。
如图3所示，本申请实施例的一种增益图编码方法，包括：
步骤301，获取增益图中的至少一个目标图像块，所述目标图像块中像素点的亮度大于第一阈值。
其中，第一阈值是预先设定的亮度阈值。本步骤中，通过该第一阈值，将选出gain map中的、包括亮度大于该第一阈值的像素点(高亮像素点)的至少一个目标图像块，以便后续仅生成该至少一个目标图像块相关的编码信息，剔除gain map中的冗余图像块。
步骤302，根据所述至少一个目标图像块，确定所述增益图的目标图像块标识信息和图像块组。
其中，目标图像块标识信息即所述至少一个目标图像块的标识信息，图像块组包括所述至少一个目标图像块。即，本步骤中，在执行步骤301之后，将能够进一步确定gain map中目标图像块的标识信息，以及包括和目标图像块的图像块组。
步骤303，对所述目标图像块标识信息和所述图像块组进行编码，得到所述增益图的编码信息。
如此，按照上述步骤301-303，在通过第一阈值，获取到增益图中的、包括亮度大于该第一阈值的像素点的至少一个目标图像块后，能够针对该至少一个目标图像块，确定该至少一个目标图像块的标识信息以及包括该至少一个目标图像块的图像块组，从而对其进行编码，得到增益图的编码信息。如此，仅保留了增益图的有效图像进行编码，提升编码效率、减少存储空间的同时，还能够提升重建图像的图像质量。
应该知道的是，gain map是在HDR图像采集节点生成的，gain map的原始分辨率为W×H，则目标图像块的图像分辨率A×B小于或等于W×H。
可选地，所述获取增益图中的至少一个目标图像块，包括：
基于第一图像分辨率，将所述增益图划分为至少一个源图像块；
将所述至少一个源图像块中像素点亮度大于所述第一阈值、且占比大于第二阈值的源图像块确定为所述至少一个目标图像块；
其中，所述第一图像分辨率是预先设定的。
此时，预先设定的第一图像分辨率的大小，即源图像块的尺寸。按照该第一图像分辨率将gain map进行划分，可以得到一个或多个尺寸等于该第一图像分辨率的源图像块，如图4和图5所示。且，还预先设定第二阈值，即高亮像素点在源图像块中的占比阈值，以 在至少一个源图像块中识别出至少一个目标图像块，也就是说，所得的目标图像块中的高亮像素点的占比大于该第二阈值。
作为一种实施方式，第一图像分辨率小于或等于W×H，如8x8，16x16，64x64，64x32，16x64，128x128，256x256等。第二阈值的取值可以是70％或80％等。
可选地，所述获取增益图中的至少一个目标图像块，包括：
基于所述第一阈值，识别出所述增益图中的目标区域；
基于所述目标区域的大小和第一条件，确定第二图像分辨率，所述第一条件包括划分后每个图像块中亮度大于所述第一阈值的像素点占比大于第三阈值或小于第四阈值；
基于所述第二图像分辨率，将所述增益图划分为至少一个源图像块；
将所述至少一个源图像块中像素点亮度大于所述第一阈值、且占比大于第三阈值的源图像块确定为所述至少一个目标图像块。
其中，第三阈值、第四阈值类似于上述第二阈值，是高亮像素点在源图像块中的占比阈值。该实施例中，考虑到高亮像素点在目标图像块中占比较低会影响编码效率，因此，为提升编码效率，预先设定第一条件通过第三阈值和第四阈值的限制，能够使得第二图像分辨率确保所得的源图像块可以分为两类，一种是高亮像素点占比更大的源图像块，一种是高亮像素点占比更小的源图像块。
故，识别增益图中像素点的亮度大于第一阈值的目标区域后，结合该目标区域的大小(也可以理解为面积)和第一条件，能够确定适用的第二图像分辨率，从而在按照该第二图像分辨率分割gain map后，得到高亮像素点占比大于第三阈值的源图像块，以及高亮像素点占比小于第四阈值的源图像块，最终确定目标图像块，即高亮像素点占比大于第三阈值的源图像块。
其中，确定第二图像分辨率的过程，是基于目标区域的大小和第一条件进行自适应调整图像分辨率的过程，例如，首次确定图像分辨率A1×B1后，基于图像分辨率A1×B1分割gain map，将得到如图6所示的多个图像块，由于其中存在图像块(图中虚线区域)不符合第一条件，因此，需要进一步调整图像分辨率，在基于图像分辨率A2×B2分割gain map得到如图7所示的符合第一条件的多个图像块后，将该图像分辨率A2×B2确定为第二图像分辨率。
其中，第三阈值可以与第二阈值相同，也可以不同。
作为一种实施方式，第三阈值的取值可以是90％或95％等，第四阈值的取值可以是10％或5％等。
可选地，该实施例中，源图像块的形状可以是正方形，如图4所示；也可以是长方形，如图5所示。
需要说明的是，该实施例中，识别目标区域、目标图像块可以基于人工智能学习来实现，在此不再赘述。
可选地，所述根据所述至少一个目标图像块，确定所述增益图的目标图像块标识信息和图像块组；
所述根据所述至少一个目标图像块，确定所述增益图的目标图像块标识信息和图像块组，包括：
根据所述至少一个目标图像块在所述增益图的位置，生成所述目标图像块标识信息；
将所述至少一个目标图像块按照第一策略进行重组，生成所述图像块组；其中，所述第一策略指示所述至少一个目标图像块组合的方式。
其中，目标图像块标识信息用于表明至少一个目标图像块在gain map中的位置信息。例如，在分割gain map后，按照预先设定的顺序如从左到右(如图8所示)，或者自上而下(图中未示出)从0开始分配各个源图像块索引值，故，目标图像块标识信息可以基于该索引值生成。
其中，第一策略是预先设定的，用来指示目标图像块组合的方式。例如，如图9所示，按照索引值顺序水平组合，或者按照索引值顺序垂直组合，或者按照索引值顺序“之”字型(zig-zag)组合。这里，按照索引值顺序进行组合，便于解码端解码重建。
当然，目标图像块组合的方式还可以实现为其它方式，不限于图中所示。
可选地，该实施例中，所述目标图像块标识信息为比特信息，每个比特信息与所述增益图中的一个源图像块对应，并指示所述源图像块是否为所述目标图像块。
其中，可以预先设定每个比特信息的不同取值，分别指示源图像块是否为目标图像块。例如，比特信息为“1”时，指示源图像块为目标图像块，则比特信息为“0”时，指示源图像块为目标图像块；或者，比特信息为“0”指示源图像块为目标图像块，则比特信息为“1”指示源图像块为目标图像块。
假设，预先设定比特信息为“1”时，指示源图像块为目标图像块，而比特信息为“0”时，指示源图像块为非目标图像块，故，如图10所示，在gain map划分为16个源图像块，并从左到右分配各个源图像块索引值为0～15，其中，目标图像块为索引值为4和10的源图像块的情况下，目标图像块标识信息(又称为提亮块标识)是长度为16比特的信息“0000100000100000”。
当然，若对于示例的目标图像块标识信息，解码端仅能够通过比特信息的取值，来了解是否为目标图像块，而无法理解比特信息对目标图像块的位置指示时，目标图像块标识信息除包括提亮块标识之外，还需要包括源图像块索引值，以辅助解码端确定目标图像块的位置，成功解码。
该实施例中，在生成目标图像块标识信息和图像块组之后，对于增益图的编码，可由对目标图像块标识信息、图像块组分别进行编码实现。
可选地，该实施例中，所述对所述目标图像块标识信息和所述图像块组进行编码，得到所述增益图的编码信息，包括：
对所述目标图像块标识信息进行编码，得到第一信息；
对所述图像块组进行下采样，得到待编码图像；
对所述待编码图像进行编码，得到第二信息；
根据所述第一信息和所述第二信息，得到所述增益图的编码信息。
其中，为进一步降低编码信息的空间占用率，提升编码效率，对于图像块组，先进行下采样得到待编码图像，然后再对所得的待编码图像进行编码，如图11所示。其中，对图像块组进行下采样，可采用如1/4下采样或者1/16下采样等。
可选地，该实施例中，所述对所述目标图像块标识信息和所述图像块组进行编码，得到所述增益图的编码信息，包括：
对所述目标图像块标识信息进行编码，得到第一信息；
对所述图像块组进行编码，得到第三信息；
根据所述第一信息和所述第三信息，得到所述增益图的编码信息。
即，在生成目标图像块标识信息后直接对其编码，得到第一信息；而在生成图像块组直接对其编码，得到第三信息，无需对图像块组进行下采样。gain map的编码信息包括该第一信息和该第三信息。
其中，对目标图像块标识信息的编码，可以采用如行程长度编码(Run-Length Encoding)的编码方式或者其它编码方式来处理。
其中，对于图像块组，可以按照JPEG、AVIF、HEIF等编码标准进行编码。在编码过程中，通常通过空间变换如离散余弦变换(Discrete Cosine Transform，DCT)或者类DCT的变换(如视频和图像压缩标准中的类DCT整数变换)来去除空间冗余信息。由于DCT变换的特点，平坦的区域去除冗余效率高。
作为一种实施方式，图像块组或待编码图像采用的编码方式可以是无损压缩，也可以是有损压缩。
可选地，所述方法还包括：
确定所述增益图编码使用的辅助信息；
存储所述编码信息和所述辅助信息。
其中，所述辅助信息是目标图像块标识信息和图像块组独立编码使用的相关信息，存储gain map编码信息时一并该辅助信息，能够便于基于该辅助信息对gain map的编码信息进行解码。
该实施例中，辅助信息也可理解为元数据(Meta data)。
可选地，所述辅助信息包括以下至少一项：
第一图像分辨率；
第二图像分辨率；
所述增益图的原始分辨率；
所述至少一个目标图像块的索引；
是否针对目标图像块编码；
编码方式；
下采样比例；
所述至少一个目标图像块重组采用的策略。
其中，由于gain map的原始分辨率通常与HDR/SDR图像的分辨率相同，gain map的原始分辨率在辅助信息中不是必须的。
其中，至少一个目标图像块的索引是分配源图像块的索引后确定，可以表明目标图像块的位置，如图10所示的划分块索引值。
其中，辅助信息可以通过包括是否针对目标图像块编码，来指示gain map的编码信息是否包括第一信息和第二信息，以便解码端实现有效的解码。
其中，编码方式是目标图像块的编码方式和目标图像块标识信息的编码方式中的至少一项。
其中，下采样比例即在确定图像块组后，对图像块组进行下采样所使用的采用比例，如1/4或1/16。
其中，至少一个目标图像块重组采用的策略，即上述的第一策略，在此不再赘述。
当然，辅助信息除包括上述内容之外，还可以包括其它内容，在此不再一一列举。
综上所述，在通过第一阈值，获取到增益图中的、包括亮度大于该第一阈值的像素点的至少一个目标图像块后，能够针对该至少一个目标图像块，确定该至少一个目标图像块的标识信息以及包括该至少一个目标图像块的图像块组，从而对其进行编码，得到增益图的编码信息。如此，仅保留了增益图的有效图像进行编码，提升编码效率、减少存储空间的同时，还能够提升重建图像的图像质量。
如图12所示，本申请实施例的一种增益图解码方法，包括：
步骤1201，获取增益图的编码信息；
步骤1202，对所述编码信息进行解码，得到图像块组和目标图像块标识信息；
步骤1203，根据所述图像块组和所述目标图像块标识信息，重建所述增益图。
如此，按照上述步骤1201-1203，在获取经上述实施例方法编码得到的增益图的编码信息后，通过对其解码得到图像块组和目标图像块标识信息，并根据该图像块组和目标图像块标识信息，进一步重建增益图。其中，若解码端也是编码端，获取增益图的编码信息，可以是从存储空间中提取gain map的编码信息；若解码端与编码端不同，获取增益图的编码信息，可以是解码端从编码端接收的gain map的编码信息。
具体的，在需要使用gain map的情况下，如生成SDR/HDR图像，对存储的编码信息进行解码，得到图像块组和目标图像块标识信息。之后，进一步基于解码所得的图像块组和目标图像块标识信息，重建gain map。
可选地，该实施例中，所述根据所述图像块组和所述目标图像块标识信息，重建所述增益图包括：
基于第一策略和所述图像块组，生成至少一个目标图像块；
根据所述至少一个目标图像块和所述目标图像块标识信息，重建所述增益图；
其中，所述第一策略指示所述至少一个目标图像块组合的方式。
也就是说，考虑到编码过程中图像块组的生成方式，结合第一策略以及解码得到的图像块组，先恢复至少一个目标图像块；然后再由该至少一个目标图像块和解码得到的目标图像块标识信息，重建增益图。
可选地，所述目标图像块标识信息为比特信息，每个比特信息与所述增益图中的一个源图像块对应，并指示所述源图像块是否为所述目标图像块。
可选地，所述增益图的编码信息包括第一信息和第二信息，所述对所述编码信息进行解码，得到图像块组和目标图像块标识信息包括：
对所述第二信息进行解码，得到解码图像；
所述解码图像进行上采样，得到所述目标图像块组；
对所述第一信息进行解码，得到所述目标图像块标识信息。
即，若编码过程中会对图像块组进行下采样，在对第二信息进行解码，得到解码图像后，会对解码图像进行上采样，得到目标图像块组。
可选地，所述增益图的编码信息包括第一信息和第三信息，所述对所述编码信息进行解码，得到图像块组和目标图像块标识信息包括：
对所述第三信息进行解码，得到所述图像块组；
对所述第一信息进行解码，得到所述目标图像块标识信息。
即，若编码过程中未对图像块组进行下采样，对第三信息进行解码后，将直接得到目标图像块组。
当然，解码过程中，还可以结合编码使用的辅助信息，以实现有效解码。
可选地，该辅助信息是与增益图的编码信息一并从存储空间提取到的，或者，与增益图的编码信息一并接收到的。
可选地，该实施例中，所述根据所述图像块组和所述目标图像块标识信息，重建所述增益图之后，还包括：
根据所述增益图和标准动态范围SDR图像，重建生成高动态范围HDR图像；或者，
根据所述增益图和HDR图像，重建生成SDR图像。
如此，基于增益图，生成所需的HDR图像或者SDR图像。
需要说明的是，该方法是与上述实施例的增益图编码方法配合实现的，上述方法实施例的实现方式适用于该方法，也能达到相同的技术效果。
下面，结合图13-图18所示，说明本申请实施例的方法的应用：
场景一、如图13所示，在HDR图像采集阶段生成gain map。然后，进行gain map提亮区域识别，即识别gain map中像素点大于第一阈值的目标区域(提亮区域)。下一步，进行gain map提亮区域块确定，即基于提亮区域的大小和第一条件确定第二图像分辨率后，基于第二图像分辨率将gain map划分为至少一个源图像块，从中确定出至少一个目标图像 块(提亮区域块)。下一步，进行gain map提亮区域块重组，即按照第一策略将至少一个目标图像块进行重组。下一步，进行重组的提亮区域块编码。当然，gain map的编码信息除包括重组的提亮区域块的编码信息之外，还包括目标图像块标识信息的编码信息，生成目标图像块标识信息、对目标图像块标识信息进行编码的步骤图中未示出。
如果保存的图像格式为SDR图像和相应的gain map的编码信息，在具有HDR能力的设备上显示HDR图像时，如图14所示，需要解码gain map的编码信息，得到gain map的图像块组和目标图像块标识信息。下一步，重建gain map，在重建过程中，会根据辅助信息(如第一图像分辨率、第二图像分辨率、gain map的原始图像分辨率、目标图像块的索引)，以及解码得到的gain map的图像块组和目标图像块标识信息，重建原始分辨率的gain map，如图15所示。下一步，基于重建后的gain map和SDR图像，生成HDR图像。
其中，若解码端也是编码端，在解码前只需要从存储空间中提取待解码的gain map的编码信息和对应的辅助信息，然后进行解码；若解码端与编码端不同，在解码前需要接收编码端发送的待解码的gain map的编码信息和对应的辅助信息，然后进行解码。
场景二、如图16所示，在HDR图像采集阶段生成gain map。然后，进行gain map提亮区域识别，即识别gain map中像素点大于第一阈值的目标区域(提亮区域)。下一步，进行gain map提亮区域块确定，即基于提亮区域的大小和第一条件确定第二图像分辨率后，基于第二图像分辨率将gain map划分为至少一个源图像块，从中确定出至少一个目标图像块(提亮区域块)。下一步，进行gain map提亮区域块重组，即按照第一策略将至少一个目标图像块进行重组。下一步，进行重组提亮区域块进行下采样，即对重组后的提亮区域块按照1/4或1/6下采样。下一步，进行下采样的重组提亮区域块编码。当然，gain map的编码信息除包括重组的提亮区域块的编码信息之外，还包括目标图像块标识信息的编码信息，生成目标图像块标识信息、对目标图像块标识信息进行编码的步骤图中未示出。
如果保存的图像格式为SDR图像和相应的gain map的编码信息，在具有HDR能力的设备上显示HDR图像时，如图17所示，需要解码gain map的编码信息。由于编码过程中，对重组提亮区域块进行了下采样，因此，下一步，对解码后重组提亮区域块进行上采样。下一步，重建gain map，在重建过程中，会根据辅助信息(如第一图像分辨率、第二图像分辨率、gain map的原始图像分辨率、目标图像块的索引)，以及上采样后的gain map的图像块组和目标图像块标识信息，重建原始分辨率的gain map，如图18所示。下一步，基于重建后的gain map和SDR图像，生成HDR图像。
如果保存的图像格式为HDR和相应的gain map信息，相应的解码流程与上述流程类似，只是生成的SDR图像是基于解码的HDR图像，以及gain map的编码信息和辅助信息。
该实施例中，gain map可以是单通道，也可是R/G/B等多通道。
本申请实施例提供的增益图编码方法，执行主体可以为增益图编码装置。本申请实施例中以增益图编码装置执行增益图编码方法为例，说明本申请实施例提供的增益图编码装置。
如图19所示，本申请实施例的一种增益图编码装置1900，包括：
第一获取模块1910，用于获取增益图中的至少一个目标图像块，所述目标图像块中像素点的亮度大于第一阈值；
第一处理模块1920，用于根据所述至少一个目标图像块，确定所述增益图的目标图像块标识信息和图像块组；
第二处理模块1930，用于对所述目标图像块标识信息和所述图像块组进行编码，得到所述增益图的编码信息。
可选地，所述第一获取模块包括：
第三处理子模块，用于基于第一图像分辨率，将所述增益图划分为至少一个源图像块；
第一识别子模块，用于将所述至少一个源图像块中像素点亮度大于所述第一阈值、且占比大于第二阈值的源图像块确定为所述至少一个目标图像块；
其中，所述第一图像分辨率是预先设定的。
可选地，所述第一获取模块包括：
第二识别子模块，用于基于所述第一阈值，识别出所述增益图中的目标区域；
第四处理子模块，用于基于所述目标区域的大小和第一条件，确定第二图像分辨率，所述第一条件包括划分后每个图像块中亮度大于所述第一阈值的像素点占比大于第三阈值或小于第四阈值；
第五处理子模块，用于基于所述第二图像分辨率，将所述增益图划分为至少一个源图像块；
第六处理子模块，用于将所述至少一个源图像块中像素点亮度大于所述第一阈值、且占比大于第三阈值的源图像块确定为所述至少一个目标图像块。
可选地，所述第一处理模块包括：
第一处理子模块，用于根据所述至少一个目标图像块在所述增益图的位置，生成所述目标图像块标识信息；
第二处理子模块，用于将所述至少一个目标图像块按照第一策略进行重组，生成所述图像块组；其中，所述第一策略指示所述至少一个目标图像块组合的方式。
可选地，所述目标图像块标识信息为比特信息，每个比特信息与所述增益图中的一个源图像块对应，并指示所述源图像块是否为所述目标图像块。
可选地，所述第二处理模块包括：
第七处理子模块，用于对所述目标图像块标识信息进行编码，得到第一信息；
第八处理子模块，用于对所述图像块组进行下采样，得到待编码图像；
第九处理子模块，用于对所述待编码图像进行编码，得到第二信息；
第十处理子模块，用于根据所述第一信息和所述第二信息，得到所述增益图的编码信息。
可选地，所述第二处理模块还用于：
对所述目标图像块标识信息进行编码，得到第一信息；
对所述图像块组进行编码，得到第三信息；
根据所述第一信息和所述第三信息，得到所述增益图的编码信息。
可选地，所述装置还包括：
第五处理模块，用于确定所述增益图编码使用的辅助信息；
存储模块，用于存储所述编码信息和所述辅助信息。
可选地，所述辅助信息包括以下至少一项：
第一图像分辨率；
第二图像分辨率；
所述增益图的原始分辨率；
所述至少一个目标图像块的索引；
是否针对目标图像块编码；
编码方式；
下采样比例；
所述至少一个目标图像块重组采用的策略。
可选地，所述装置还包括：
第三处理模块，用于在需要使用所述增益图的情况下，根据所述编码信息并进行解码，得到所述图像块组和所述目标图像块标识信息；
第四处理模块，用于根据所述辅助信息、所述图像块组和所述目标图像块标识信息，重建所述增益图。
该装置在通过第一阈值，获取到增益图中的、包括亮度大于该第一阈值的像素点的至少一个目标图像块后，能够针对该至少一个目标图像块，确定该至少一个目标图像块的标识信息以及包括该至少一个目标图像块的图像块组，从而对其进行编码，得到增益图的编码信息。如此，仅保留了增益图的有效图像进行编码，提升编码效率、减少存储空间的同时，还能够提升重建图像的图像质量。
本申请实施例中的增益图编码装置可以是电子设备，也可以是电子设备中的部件，例如集成电路或芯片。该电子设备可以是终端，也可以为除终端之外的其他设备。示例性的，电子设备可以为手机、平板电脑、笔记本电脑、掌上电脑、车载电子设备、移动上网装置(Mobile Internet Device，MID)、增强现实(augmented reality，AR)/虚拟现实(virtual reality，VR)设备、机器人、可穿戴设备、超级移动个人计算机(ultra-mobile personal computer，UMPC)、上网本或者个人数字助理(personal digital assistant，PDA)等，还可以为服务器、网络附属存储器(Network Attached Storage，NAS)、个人计算机(personal computer，PC)、电视机(television，TV)、柜员机或者自助机等，本申请实施例不作具体限定。
本申请实施例中的增益图编码装置可以为具有操作系统的装置。该操作系统可以为安卓(Android)操作系统，可以为ios操作系统，还可以为其他可能的操作系统，本申请实施例不作具体限定。
本申请实施例提供的增益图编码装置能够实现图2至图18的方法实施例实现的各个过程，为避免重复，这里不再赘述。
如图20所示，本申请实施例的一种增益图解码装置2000，包括：
第二获取模块2010，用于获取增益图的编码信息；
解码模块2020，用于对所述编码信息进行解码，得到图像块组和目标图像块标识信息；
重建模块2030，用于根据所述图像块组和所述目标图像块标识信息，重建所述增益图。
可选地，所述重建模块包括：
生成子模块，用于基于第一策略和所述图像块组，生成至少一个目标图像块；
重建子模块，用于根据所述至少一个目标图像块和所述目标图像块标识信息，重建所述增益图；
其中，所述第一策略指示所述至少一个目标图像块组合的方式。
可选地，所述目标图像块标识信息为比特信息，每个比特信息与所述增益图中的一个源图像块对应，并指示所述源图像块是否为所述目标图像块。
可选地，所述增益图的编码信息包括第一信息和第二信息，所述解码模块还用于：
对所述第二信息进行解码，得到解码图像；
所述解码图像进行上采样，得到所述目标图像块组；
对所述第一信息进行解码，得到所述目标图像块标识信息。
可选地，所述增益图的编码信息包括第一信息和第三信息，所述解码模块还用于：
对所述第三信息进行解码，得到所述图像块组；
对所述第一信息进行解码，得到所述目标图像块标识信息。
可选地，所述装置还包括：
图像生成模块，用于根据所述增益图和标准动态范围SDR图像，重建生成高动态范围HDR图像；或者，
根据所述增益图和HDR图像，重建生成SDR图像。
该装置在获取经编码得到的增益图的编码信息后，通过对其解码得到图像块组和目标图像块标识信息，并根据该图像块组和目标图像块标识信息，进一步重建增益图。
本申请实施例中的增益图解码装置可以是电子设备，也可以是电子设备中的部件，例如集成电路或芯片。该电子设备可以是终端，也可以为除终端之外的其他设备。示例性的，电子设备可以为手机、平板电脑、笔记本电脑、掌上电脑、车载电子设备、MID、AR/VR设备、机器人、可穿戴设备、UMPC、上网本或者PDA等，还可以为服务器、NAS、PC、TV、柜员机或者自助机等，本申请实施例不作具体限定。
本申请实施例中的增益图解码装置可以为具有操作系统的装置。该操作系统可以为安卓(Android)操作系统，可以为ios操作系统，还可以为其他可能的操作系统，本申请实施例不作具体限定。
本申请实施例提供的增益图解码装置能够实现图12至图18的方法实施例实现的各个过程，为避免重复，这里不再赘述。
可选地，如图21所示，本申请实施例还提供一种电子设备2100，包括处理器2101和存储器2102，存储器2102上存储有可在所述处理器2101上运行的程序或指令，该程序或指令被处理器2101执行时实现上述增益图编码方法或增益图解码方法实施例的各个步骤，且能达到相同的技术效果，为避免重复，这里不再赘述。
需要说明的是，本申请实施例中的电子设备包括上述所述的移动电子设备和非移动电子设备。
图22为实现本申请实施例的一种电子设备的硬件结构示意图。
该电子设备2200包括但不限于：射频单元2201、网络模块2202、音频输出单元2203、输入单元2204、传感器2205、显示单元2206、用户输入单元2207、接口单元2208、存储器2209、以及处理器2210等部件。
本领域技术人员可以理解，电子设备2200还可以包括给各个部件供电的电源(比如电池)，电源可以通过电源管理系统与处理器2210逻辑相连，从而通过电源管理系统实现管理充电、放电、以及功耗管理等功能。图x中示出的电子设备结构并不构成对电子设备的限定，电子设备可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置，在此不再赘述。
其中，处理器2210，用于获取增益图中的至少一个目标图像块，所述目标图像块中像素点的亮度大于第一阈值；
根据所述至少一个目标图像块，确定所述增益图的目标图像块标识信息和图像块组；
对所述目标图像块标识信息和所述图像块组进行编码，得到所述增益图的编码信息。
该电子设备在通过第一阈值，获取到增益图中的、包括亮度大于该第一阈值的像素点的至少一个目标图像块后，能够针对该至少一个目标图像块，确定该至少一个目标图像块的标识信息以及包括该至少一个目标图像块的图像块组，从而对其进行编码，得到增益图的编码信息。如此，仅保留了增益图的有效图像进行编码，提升编码效率、减少存储空间的同时，还能够提升重建图像的图像质量。
可选地，所述处理器2210，还用于：
基于第一图像分辨率，将所述增益图划分为至少一个源图像块；
将所述至少一个源图像块中像素点亮度大于所述第一阈值、且占比大于第二阈值的源图像块确定为所述至少一个目标图像块；
其中，所述第一图像分辨率是预先设定的。
可选地，所述处理器2210，还用于：
基于所述第一阈值，识别出所述增益图中的目标区域；
基于所述目标区域的大小和第一条件，确定第二图像分辨率，所述第一条件包括划分后每个图像块中亮度大于所述第一阈值的像素点占比大于第三阈值或小于第四阈值；
基于所述第二图像分辨率，将所述增益图划分为至少一个源图像块；
将所述至少一个源图像块中像素点亮度大于所述第一阈值、且占比大于第三阈值的源图像块确定为所述至少一个目标图像块。
可选地，所述处理器2210，还用于：
根据所述至少一个目标图像块在所述增益图的位置，生成所述目标图像块标识信息；
将所述至少一个目标图像块按照第一策略进行重组，生成所述图像块组；其中，所述第一策略指示所述至少一个目标图像块组合的方式。
可选地，所述目标图像块标识信息为比特信息，每个比特信息与所述增益图中的一个源图像块对应，并指示所述源图像块是否为所述目标图像块。
可选地，所述处理器2210，还用于：
对所述目标图像块标识信息进行编码，得到第一信息；
对所述图像块组进行下采样，得到待编码图像；
对所述待编码图像进行编码，得到第二信息；
根据所述第一信息和所述第二信息，得到所述增益图的编码信息。
可选地，所述处理器2210，还用于：
确定所述增益图编码使用的辅助信息；
存储所述编码信息和所述辅助信息。
可选地，所述辅助信息包括以下至少一项：
第一图像分辨率；
第二图像分辨率；
所述增益图的原始分辨率；
所述至少一个目标图像块的索引；
是否针对目标图像块编码；
编码方式；
下采样比例；
所述至少一个目标图像块重组采用的策略。
可选地，所述处理器2210，还用于：
对所述编码信息进行解码，得到所述图像块组和所述目标图像块标识信息；
根据所述辅助信息、所述图像块组和所述目标图像块标识信息，重建所述增益图。
应理解的是，本申请实施例中，输入单元2204可以包括图形处理器(Graphics Processing Unit，GPU)22041和麦克风22042，图形处理器22041对在视频捕获模式或图像捕获模式中由图像捕获装置(如摄像头)获得的静态图片或视频的图像数据进行处理。显示单元2206 可包括显示面板22061，可以采用液晶显示器、有机发光二极管等形式来配置显示面板22061。用户输入单元2207包括触控面板22071以及其他输入设备22072中的至少一种。触控面板22071，也称为触摸屏。触控面板22071可包括触摸检测装置和触摸控制器两个部分。其他输入设备22072可以包括但不限于物理键盘、功能键(比如音量控制按键、开关按键等)、轨迹球、鼠标、操作杆，在此不再赘述。
存储器2209可用于存储软件程序以及各种数据。存储器2209可主要包括存储程序或指令的第一存储区和存储数据的第二存储区，其中，第一存储区可存储操作系统、至少一个功能所需的应用程序或指令(比如声音播放功能、图像播放功能等)等。此外，存储器2209可以包括易失性存储器或非易失性存储器，或者，存储器2209可以包括易失性和非易失性存储器两者。其中，非易失性存储器可以是只读存储器(Read-OnlyMemory，ROM)、可编程只读存储器(ProgrammableROM，PROM)、可擦除可编程只读存储器(ErasablePROM，EPROM)、电可擦除可编程只读存储器(ElectricallyEPROM，EEPROM)或闪存。易失性存储器可以是随机存取存储器(Random Access Memory，RAM)，静态随机存取存储器(Static RAM，SRAM)、动态随机存取存储器(Dynamic RAM，DRAM)、同步动态随机存取存储器(Synchronous DRAM，SDRAM)、双倍数据速率同步动态随机存取存储器(Double Data Rate SDRAM，DDRSDRAM)、增强型同步动态随机存取存储器(Enhanced SDRAM，ESDRAM)、同步连接动态随机存取存储器(Synchlink DRAM，SLDRAM)和直接内存总线随机存取存储器(Direct Rambus RAM，DRRAM)。本申请实施例中的存储器2209包括但不限于这些和任意其它适合类型的存储器。
处理器2210可包括一个或多个处理单元；可选的，处理器2210集成应用处理器和调制解调处理器，其中，应用处理器主要处理涉及操作系统、用户界面和应用程序等的操作，调制解调处理器主要处理无线通信信号，如基带处理器。可以理解的是，上述调制解调处理器也可以不集成到处理器2210中。
当然，图22所示的电子设备，也能够应用上述实施例所示的增益图解码方法，在此不再赘述。
本申请实施例还提供一种可读存储介质，所述可读存储介质上存储有程序或指令，该程序或指令被处理器执行时实现上述增益图编码方法或者增益图解码方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
其中，所述处理器为上述实施例中所述的电子设备中的处理器。所述可读存储介质，包括计算机可读存储介质，如计算机只读存储器ROM、随机存取存储器RAM、磁碟或者光盘等。
本申请实施例另提供了一种芯片，所述芯片包括处理器和通信接口，所述通信接口和所述处理器耦合，所述处理器用于运行程序或指令，实现上述增益图编码方法或者增益图解码方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
应理解，本申请实施例提到的芯片还可以称为系统级芯片、系统芯片、芯片系统或片上系统芯片等。
本申请实施例提供一种计算机程序产品，该程序产品被存储在存储介质中，该程序产品被至少一个处理器执行以实现如上述增益图编码方法或者增益图解码方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
需要说明的是，在本文中，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者装置不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者装置所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括该要素的过程、方法、物品或者装置中还存在另外的相同要素。此外，需要指出的是，本申请实施方式中的方法和装置的范围不限按示出或讨论的顺序来执行功能，还可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，例如，可以按不同于所描述的次序来执行所描述的方法，并且还可以添加、省去、或组合各种步骤。另外，参照某些示例所描述的特征可在其他示例中被组合。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分可以以计算机软件产品的形式体现出来，该计算机软件产品存储在一个存储介质(如ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台终端(可以是手机，计算机，服务器，或者网络设备等)执行本申请各个实施例所述的方法。
上面结合附图对本申请的实施例进行了描述，但是本申请并不局限于上述的具体实施方式，上述的具体实施方式仅仅是示意性的，而不是限制性的，本领域的普通技术人员在本申请的启示下，在不脱离本申请宗旨和权利要求所保护的范围情况下，还可做出很多形式，均属于本申请的保护之内。

Claims (24)

  1. 一种增益图编码方法，包括：
    获取增益图中的至少一个目标图像块，所述目标图像块中像素点的亮度大于第一阈值；
    根据所述至少一个目标图像块，确定所述增益图的目标图像块标识信息和图像块组；
    对所述目标图像块标识信息和所述图像块组进行编码，得到所述增益图的编码信息。
  2. 根据权利要求1所述的方法，其中，所述获取增益图中的至少一个目标图像块，包括：
    基于第一图像分辨率，将所述增益图划分为至少一个源图像块；
    将所述至少一个源图像块中像素点亮度大于所述第一阈值、且占比大于第二阈值的源图像块确定为所述至少一个目标图像块；
    其中，所述第一图像分辨率是预先设定的。
  3. 根据权利要求1所述的方法，其中，所述获取增益图中的至少一个目标图像块，包括：
    基于所述第一阈值，识别出所述增益图中的目标区域；
    基于所述目标区域的大小和第一条件，确定第二图像分辨率，所述第一条件包括划分后每个图像块中亮度大于所述第一阈值的像素点占比大于第三阈值或小于第四阈值；
    基于所述第二图像分辨率，将所述增益图划分为至少一个源图像块；
    将所述至少一个源图像块中像素点亮度大于所述第一阈值、且占比大于第三阈值的源图像块确定为所述至少一个目标图像块。
  4. 根据权利要求1所述的方法，其中，所述根据所述至少一个目标图像块，确定所述增益图的目标图像块标识信息和图像块组，包括：
    根据所述至少一个目标图像块在所述增益图的位置，生成所述目标图像块标识信息；
    将所述至少一个目标图像块按照第一策略进行重组，生成所述图像块组；其中，所述第一策略指示所述至少一个目标图像块组合的方式。
  5. 根据权利要求4所述的方法，其中，所述目标图像块标识信息为比特信息，每个比特信息与所述增益图中的一个源图像块对应，并指示所述源图像块是否为所述目标图像块。
  6. 根据权利要求4所述的方法，其中，所述对所述目标图像块标识信息和所述图像块组进行编码，得到所述增益图的编码信息，包括：
    对所述目标图像块标识信息进行编码，得到第一信息；
    对所述图像块组进行下采样，得到待编码图像；
    对所述待编码图像进行编码，得到第二信息；
    根据所述第一信息和所述第二信息，得到所述增益图的编码信息。
  7. 根据权利要求4所述的方法，其中，所述对所述目标图像块标识信息和所述图像块组进行编码，得到所述增益图的编码信息，包括：
    对所述目标图像块标识信息进行编码，得到第一信息；
    对所述图像块组进行编码，得到第三信息；
    根据所述第一信息和所述第三信息，得到所述增益图的编码信息。
  8. 根据权利要求1所述的方法，其中，还包括：
    确定所述增益图编码使用的辅助信息；
    存储所述编码信息和所述辅助信息。
  9. 根据所述权利要求8所述的方法，其中，所述辅助信息包括以下至少一项：
    第一图像分辨率；
    第二图像分辨率；
    所述增益图的原始分辨率；
    所述至少一个目标图像块的索引；
    是否针对目标图像块编码；
    编码方式；
    下采样比例；
    所述至少一个目标图像块重组采用的策略。
  10. 一种增益图解码方法，包括：
    获取增益图的编码信息；
    对所述编码信息进行解码，得到图像块组和目标图像块标识信息；
    根据所述图像块组和所述目标图像块标识信息，重建所述增益图。
  11. 根据权利要求10所述的方法，其中，所述根据所述图像块组和所述目标图像块标识信息，重建所述增益图包括：
    基于第一策略和所述图像块组，生成至少一个目标图像块；
    根据所述至少一个目标图像块和所述目标图像块标识信息，重建所述增益图；
    其中，所述第一策略指示所述至少一个目标图像块组合的方式。
  12. 根据权利要求11所述的方法，其中，
    所述目标图像块标识信息为比特信息，每个比特信息与所述增益图中的一个源图像块对应，并指示所述源图像块是否为所述目标图像块。
  13. 根据权利要求11所述的方法，其中，所述增益图的编码信息包括第一信息和第二信息，所述对所述编码信息进行解码，得到图像块组和目标图像块标识信息包括：
    对所述第二信息进行解码，得到解码图像；
    所述解码图像进行上采样，得到所述目标图像块组；
    对所述第一信息进行解码，得到所述目标图像块标识信息。
  14. 根据权利要求11所述的方法，其中，所述增益图的编码信息包括第一信息和第三信息，所述对所述编码信息进行解码，得到图像块组和目标图像块标识信息包括：
    对所述第三信息进行解码，得到所述图像块组；
    对所述第一信息进行解码，得到所述目标图像块标识信息。
  15. 根据权利要求10-14中任一项所述方法，其中，所述根据所述图像块组和所述目标图像块标识信息，重建所述增益图之后，还包括：
    根据所述增益图和标准动态范围SDR图像，重建生成高动态范围HDR图像；或者，
    根据所述增益图和HDR图像，重建生成SDR图像。
  16. 一种增益图编码装置，包括：
    第一获取模块，用于获取增益图中的至少一个目标图像块，所述目标图像块中像素点的亮度大于第一阈值；
    第一处理模块，用于根据所述至少一个目标图像块，确定所述增益图的目标图像块标识信息和图像块组；
    第二处理模块，用于对所述目标图像块标识信息和所述图像块组进行编码，得到所述增益图的编码信息。
  17. 根据权利要求16所述的装置，其中，所述第一处理模块包括：
    第一处理子模块，用于根据所述至少一个目标图像块在所述增益图的位置，生成所述目标图像块标识信息；
    第二处理子模块，用于将所述至少一个目标图像块按照第一策略进行重组，生成所述图像块组；其中，所述第一策略指示所述至少一个目标图像块组合的方式。
  18. 一种增益图解码装置，包括：
    第二获取模块，用于获取增益图的编码信息；
    解码模块，用于对所述编码信息进行解码，得到图像块组和目标图像块标识信息；
    重建模块，用于根据所述图像块组和所述目标图像块标识信息，重建所述增益图。
  19. 根据权利要求18所述的装置，其中，所述重建模块包括：
    生成子模块，用于基于第一策略和所述图像块组，生成至少一个目标图像块；
    重建子模块，用于根据所述至少一个目标图像块和所述目标图像块标识信息，重建所述增益图；
    其中，所述第一策略指示所述至少一个目标图像块组合的方式。
  20. 一种电子设备，包括处理器和存储器，所述存储器存储可在所述处理器上运行的程序或指令，所述程序或指令被所述处理器执行时实现如权利要求1-9任一项所述的增益图编码方法，或者如权利要求10-15任一项所述的增益图解码方法的步骤。
  21. 一种可读存储介质，所述可读存储介质上存储程序或指令，所述程序或指令被处理器执行时实现如权利要求1-9任一项所述的增益图编码方法，或者如权利要求10-15任一项所述的增益图解码方法的步骤。
  22. 一种芯片，所述芯片包括处理器和通信接口，所述通信接口和所述处理器耦合，所述处理器用于运行程序或指令，实现如权利要求1-9任一项所述的增益图编码方法，或者如权利要求10-15任一项所述的增益图解码方法的步骤。
  23. 一种计算机程序产品，所述计算机程序产品被至少一个处理器执行以实现如权利要求1-9任一项所述的增益图编码方法，或者如权利要求10-15任一项所述的增益图解码方法的步骤。
  24. 一种电子设备，所述电子设备被配置成用于执行如权利要求1-9任一项所述的增益图编码方法，或者如权利要求10-15任一项所述的增益图解码方法的步骤。
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CN116744009A (zh) * 2023-06-09 2023-09-12 维沃移动通信有限公司 增益图编码方法、解码方法、装置、设备及介质

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