WO2023010755A1 - 一种hdr视频转换方法、装置、设备及计算机存储介质 - Google Patents
一种hdr视频转换方法、装置、设备及计算机存储介质 Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/90—Dynamic range modification of images or parts thereof
- G06T5/92—Dynamic range modification of images or parts thereof based on global image properties
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/01—Conversion of standards, e.g. involving analogue television standards or digital television standards processed at pixel level
- H04N7/0127—Conversion of standards, e.g. involving analogue television standards or digital television standards processed at pixel level by changing the field or frame frequency of the incoming video signal, e.g. frame rate converter
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20172—Image enhancement details
- G06T2207/20208—High dynamic range [HDR] image processing
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
Definitions
- the present application belongs to the technical field of video processing, and in particular relates to an HDR video conversion method, device, equipment and computer storage medium.
- High Dynamic Range Compared with standard dynamic range (Standard Dynamic Range, SDR) video, high dynamic range (High Dynamic Range, HDR) video has a larger dynamic range and a wider color gamut, and can show higher contrast and richer colors. color. With the gradual maturity of HDR video shooting and display technology, more and more playback devices support HDR video playback. Therefore, how to convert SDR video to HDR video has become a current hot issue.
- SDR Standard Dynamic Range
- HDR High Dynamic Range
- the currently proposed HDR video conversion method is to first convert each frame of SDR video frame in the SDR video into an HDR video frame by using a neural network, and then combine the frame way to get the converted HDR video. But the quality of the HDR video obtained in this way is poor.
- Embodiments of the present application provide an HDR video conversion method, device, terminal device, and storage medium, which can solve the problem of low quality of HDR video converted from SDR video.
- the embodiment of the present application provides a HDR video conversion method, the method comprising: performing frame extraction processing on the SDR video to be processed, to obtain M frames of SDR video frames contained in the SDR video;
- the trained HDR video conversion model to convert M frames of SDR video frames into M frames of HDR video frames, wherein the tth frame of HDR video frame in the M frames of HDR video frames is based on the tth frame contained in the SDR video K frame SDR video frame conversion including SDR video frame is obtained, 0 ⁇ t ⁇ M, t, K, M are all positive integers;
- each HDR video frame is converted from K frames of SDR video frames in the SDR video. It is understandable that in a video, due to changes in lighting, there may be some inter-frame information between frames, so that the information lost in the previous frame may be retained in the next frame. Therefore, using the HDR video conversion method provided by this application, when converting HDR video frames, the information between K frames and SDR video frames is fully considered, reducing the information loss during the conversion of SDR video frames, so that the processed HDR The video frame also preserves the inter-frame information as much as possible, which improves the conversion quality of HDR video.
- the K frames of SDR video frames are continuous SDR video frames.
- the K frames of SDR video frames include k-n+1 frames The first SDR video frame in the above SDR video.
- the K frames of SDR video frames include k-p+1 frames The Mth frame of the SDR video frame in the SDR video.
- an embodiment of the present application provides an HDR video conversion device, the device comprising: a frame extraction unit, configured to perform frame extraction processing on the SDR video to be processed, to obtain M frames of SDR video frames contained in the SDR video ;
- a conversion unit configured to convert M frames of SDR video frames into M frames of HDR video frames using the trained HDR video conversion model, wherein the tth frame of HDR video frame in the M frames of HDR video frames is based on the SDR video
- the conversion of K frames of SDR video frames including the t-th frame of SDR video frames is obtained, 0 ⁇ t ⁇ M, and t, K, and M are all positive integers;
- a frame merging unit configured to perform frame merging processing on the M frames of HDR video frames to obtain an HDR video corresponding to the SDR video.
- the K frames of SDR video frames are continuous SDR video frames.
- the embodiment of the present application provides a terminal device, including a memory, a processor, and a computer program stored in the memory and operable on the processor.
- a terminal device including a memory, a processor, and a computer program stored in the memory and operable on the processor.
- the processor executes the computer program, any of the above-mentioned first aspect one of the methods described.
- an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the method described in any one of the above-mentioned first aspects is implemented.
- an embodiment of the present application provides a computer program product, which, when the computer program product is run on a terminal device, causes the terminal device to execute the method described in any one of the foregoing first aspects.
- Figure 1 is a schematic diagram of the HDR and SDR color gamut ranges provided by an embodiment of the present application
- Fig. 2 is a flow chart of an embodiment of an HDR video conversion method provided by an embodiment of the present application
- FIG. 3 is a structural diagram of an HDR video conversion method provided by an embodiment of the present application.
- FIG. 4 is a schematic diagram of an HDR video conversion device provided by an embodiment of the present application.
- Fig. 5 is a schematic structural diagram of a terminal device provided by an embodiment of the present application.
- High Dynamic Range Compared with the standard dynamic range (Standard Dynamic Range, SDR), the high dynamic range (High Dynamic Range, HDR) has a larger dynamic range and a wider color gamut. Due to the wide color gamut and large dynamic range of HDR, therefore, HDR video can show video with higher contrast and richer colors.
- SDR Standard Dynamic Range
- HDR High Dynamic Range
- FIG 1 shows a schematic diagram of the range of HDR and SDR color gamuts.
- BT.709 and BT.2020 are TV parameter standards issued by the ITU (International Telecommunication Union).
- the color gamut standard formulated is mostly used to test the color range that the projector can cover.
- BT.2020 has the largest range, followed by the color gamut range of DCI-P3, and the color range represented by BT.709
- the domain range is the smallest.
- HDR video adopts BT.709 color gamut
- HDR video adopts BT.2020 color gamut with wider color gamut.
- HDR video will also adopt DCI-P3 color gamut.
- the contrast and color of the HDR video are better than the SDR video.
- the currently proposed HDR video conversion method is to first convert each frame of SDR video frame in the SDR video into an HDR video frame by using a neural network, and then combine the frame way to get the converted HDR video. But the quality of the HDR video obtained in this way is poor.
- the application provides a HDR video conversion method, so that each frame of HDR video frame is composed of K frames of SDR video frames in the SDR video to be processed
- the converted HDR video frame takes into account the information between the SDR video frames, reducing the information loss during the HDR video conversion process of the SDR video frame, so that the converted HDR video frame also retains the inter-frame information as much as possible, thereby improving HDR.
- the conversion quality of the video is a HDR video conversion method, so that each frame of HDR video frame is composed of K frames of SDR video frames in the SDR video to be processed
- the converted HDR video frame takes into account the information between the SDR video frames, reducing the information loss during the HDR video conversion process of the SDR video frame, so that the converted HDR video frame also retains the inter-frame information as much as possible, thereby improving HDR.
- FIG. 2 it is a flowchart of an embodiment of an HDR video conversion method provided by the present application.
- the subject of execution of the method may be a video processing device.
- the video processing device may be a mobile terminal device such as a smart phone, a tablet computer, or a video camera, or may be a terminal device capable of processing video data such as a desktop computer, a robot, or a server.
- the method includes:
- S101 Perform frame extraction processing on the SDR video to be processed to obtain M frames of SDR video frames contained in the SDR video.
- the SDR video to be processed may be a complete video taken, downloaded or read from a local storage area, or an SDR video segment intercepted from a completed video.
- a video conversion tool may be used to extract frames of the SDR video to be processed.
- FFmpeg Fast Forward Mpeg
- t is a variable with a value range between 1 and M, that is to say, when each frame of SDR video frame is converted to the corresponding HDR video frame, K frames of SDR video frames including the SDR video frame can be input It is processed in the HDR video conversion model, and the HDR video frame corresponding to the SDR video frame is obtained as output.
- the above 8 SDR video frames are converted into 8 HDR video frames by using the HDR video conversion model.
- the 3rd frame HDR video frame corresponding to the 3rd frame SDR video frame is 5 frames of SDR video including the 3rd frame SDR video frame in the SDR video frame conversion.
- the aforementioned K frames of SDR video frames may be continuous SDR video frames.
- the tth HDR video frame corresponding to the tth SDR video frame may be obtained by converting the tth frame to the t+K-1th SDR video frame in the SDR video.
- the HDR video frame corresponding to each SDR video frame can be obtained by converting the last K frames of SDR video frames.
- the second HDR video frame corresponding to the second SDR video frame may be converted from the 2nd to 6th SDR video frames in the SDR video.
- the t-th HDR video frame corresponding to the t-th SDR video frame may be obtained by converting the t-K+1-th frame to the t-th SDR video frame in the SDR video.
- the HDR video frame corresponding to each SDR video frame can be converted from the previous K frames of SDR video frames.
- the 1st to 5th HDR video frames corresponding to the 1st to 5th SDR video frames can be converted from the 1st to 5th video frames in the SDR video, and the 4th frame corresponding to the 6th video frame
- the frame HDR video frame can be obtained by converting the 2nd-6th video frame in the SDR video
- the 7th HDR video frame corresponding to the 7th frame of video can be obtained by converting the 3rd-7th video frame in the SDR video.
- the t-th HDR video frame corresponding to the t-th SDR video frame may also be converted from K frames of SDR video frames adjacent to the t-th SDR video frame in the SDR video.
- the output of the model processing is to obtain the tth frame of HDR video frame, that is, the K frame of SDR video frame includes the t-kth frame of SDR video frame to the t+kth frame of SDR video frame in the SDR video.
- the K frames of SDR video frames include the first SDR video frame of k-n+1 SDR video frames.
- the number of SDR video frames before the first frame and the second frame in the SDR video frame is less than two frames
- the 5 SDR video frames include the first SDR video frame in the 3 SDR video frames
- the 5 SDR video frames used to convert the first HDR video frame include the first SDR video frame in the SDR video frame Frame, 1st frame, 1st frame, 2nd frame and 3rd frame
- SDR video frame means 3 frames 1st frame SDR video frame, 1 frame 2nd SDR video frame and 1 frame 3rd SDR video frame.
- the first SDR video frame in the 2 SDR video frames is included in the 5 SDR video frames
- the above-mentioned 5 frames of SDR video frames used to convert the 2nd frame of HDR video frame include the 1st frame, the 1st frame, the 2nd frame, the 3rd frame and the 4th frame of the SDR video frame in the SDR video frame, that is The 1st SDR video frame of 2 frames, the 2nd SDR video frame of 1 frame, the 3rd SDR video frame of 1 frame, and the 4th SDR video frame of 1 frame.
- the K frames of SDR video frames include the M-th SDR video frame of the k-p+1 SDR video frames.
- the number of SDR video frames after the 7th frame and the 8th frame in the SDR video frame is less than two frames
- the 5 SDR video frames include the 8th SDR video frame in the 2 SDR video frames, that is to say, the 5 SDR video frames used to convert the 7th HDR video frame include the 8th SDR video frame in the SDR video frame
- the 5th frame, the 6th frame, the 7th frame, the 8th frame and the 8th frame SDR video frame are the 1st frame 5th SDR video frame, the 1st frame 6th SDR video frame, the 1st frame 7th SDR video frame and 2 Frame 8th SDR video frame.
- the 5 SDR video frames include the 8th SDR video frame in the 3 SDR video frames, that is Said
- the above-mentioned 5 frames of SDR video frame used to convert the 8th frame of HDR video frame include the 6th frame, the 7th frame, the 8th frame, the 8th frame and the 8th frame of the SDR video frame, that is, the 1st frame of the SDR video frame 6 SDR video frames, 1st frame 7th SDR video frame and 3rd frame 8th SDR video frame.
- the second frame of the HDR video frame in the 5 frames of HDR video frames is based on The conversion of 9 SDR video frames including the second SDR video frame in the SDR video is obtained.
- the 9 SDR video frames used to convert the 2nd HDR video frame include: 1st SDR video frame of 4 SDR video frames, 2nd SDR video frame of 1 SDR video frame, 1 frame The 3rd SDR video frame in the SDR video, the 4th SDR video frame in 1 SDR video frame, and the 5th SDR video frame in 2 SDR video frames.
- the M frame SDR video frame obtained in step S101 is input into the trained HDR video conversion model for processing, and the output is obtained corresponding to the SDR video frame M-frame HDR video frames.
- the HDR video conversion model may be any neural network model that can realize the task of converting SDR video to HDR video.
- it could be a fully convolutional model.
- the fully convolutional model includes 3 convolutional layers with a convolution kernel size of 1 ⁇ 1, and 2 Rectified Linear Unit (ReLU) activation functions interspersed among the 3 convolutional layers.
- ReLU Rectified Linear Unit
- the training method of the HDR video conversion model includes: using a preset training set and a preset loss function to iteratively train the HDR video conversion initial model to obtain the above-mentioned HDR video conversion model; wherein the training set includes a plurality of SDR video frame samples and HDR video frame samples corresponding to the above SDR video frame samples.
- an SDR video sample and its corresponding HDR video sample are acquired first.
- SDR video samples and corresponding HDR video samples can be obtained from public video websites. It is also possible to perform SDR and HDR processing on videos in the same RAW data format, respectively, to obtain SDR video samples and corresponding HDR video samples. It is also possible to use the SDR camera and the HDR camera respectively to shoot corresponding SDR video samples and HDR video samples in the same scene.
- the SDR video samples and their corresponding HDR video samples are frame-drawn to obtain a plurality of SDR video frame samples and the temporal and spatial connections between multiple SDR video samples.
- L2 is used as the loss function for HDR video conversion model training.
- the loss function is used to describe the loss between the predicted HDR video frame and the HDR video frame sample, where the predicted HDR video frame is obtained by processing the SDR video frame sample by the full convolution model.
- the M frames of HDR video frames processed by the HDR video conversion model may be combined by using a video conversion tool, for example, the M frames of HDR video frames may be combined by using the FFmpeg tool.
- the video conversion tool used for the SDR video frame extraction to be processed is the same as the video conversion tool used for the M-frame HDR video frame combination, it can not only save the cost of video processing and improve the efficiency of video processing, but also The processing accuracy of the SDR video to be processed and the obtained HDR video corresponding to the SDR video to be processed can be kept consistent.
- each HDR video frame is converted from K frames of SDR video frames in the SDR video. It is understandable that in a video, due to changes in lighting, there may be some inter-frame information between frames, so that the information lost in the previous frame may be retained in the next frame. Therefore, using the HDR video conversion method provided by this application, when converting HDR video frames, the information between K frames and SDR video frames is fully considered, reducing the information loss during the conversion of SDR video frames, so that the processed HDR The video frame also preserves the inter-frame information as much as possible, which improves the conversion quality of HDR video.
- an embodiment of the present application provides an HDR video conversion device.
- the embodiment of the device corresponds to the embodiment of the method described above.
- the embodiment of the device does not implement the method described above.
- the details in the examples are described one by one, but it should be clear that the device in this embodiment can correspondingly implement all the content in the foregoing method embodiments.
- the present application provides an HDR video conversion device, and the above-mentioned device 200 includes:
- the frame extraction unit 201 is used to perform frame extraction processing on the SDR video to be processed, so as to obtain M frames of SDR video frames contained in the SDR video;
- the converting unit 202 is configured to convert the M frames of SDR video frames into M frames of HDR video frames using the trained HDR video conversion model, wherein the tth frame of the HDR video frame in the M frames of HDR video frames is based on the information contained in the SDR video.
- K frames of SDR video frames including t frames of SDR video frames are converted to obtain, 0 ⁇ t ⁇ M, t, K, and M are all positive integers;
- the framing unit 203 is configured to perform frame merging processing on M frames of HDR video frames to obtain HDR video corresponding to the SDR video.
- the K frames of SDR video frames are continuous SDR video frames.
- K frames of SDR video frames include the first frame in k-n+1 frames of SDR video SDR video frame.
- K frames of SDR video frames include the Mth frame in k-p+1 frames of SDR video SDR video frame.
- FIG. 5 is a schematic diagram of a terminal device provided in an embodiment of the present application.
- the terminal device 300 provided in this embodiment includes: a memory 302 and a processor 301, the memory 302 is used to store computer programs; the processor 301 is used to The methods described in the above method embodiments are executed when the computer program is called, for example, steps S101 to S103 shown in FIG. 2 .
- the processor 301 executes the computer program, it realizes the functions of the modules/units in the above-mentioned device embodiments, for example, the functions of the units 201 to 203 shown in FIG. 4 .
- the computer program may be divided into one or more modules/units, and the one or more modules/units are stored in the memory 302 and executed by the processor 301 to complete this Apply.
- the one or more modules/units may be a series of computer program instruction segments capable of accomplishing specific functions, and the instruction segments are used to describe the execution process of the computer program in the terminal device.
- FIG. 5 is only an example of a terminal device, and does not constitute a limitation on the terminal device. It may include more or less components than those shown in the figure, or combine certain components, or different components, such as
- the terminal device may also include an input and output device, a network access device, a bus, and the like.
- the processor 301 may be a central processing unit (Central Processing Unit, CPU), or other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
- a general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like.
- the storage 302 may be an internal storage unit of the terminal device, for example, a hard disk or memory of the terminal device.
- the memory 302 may also be an external storage device of the terminal device, such as a plug-in hard disk equipped on the terminal device, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, Flash Card (Flash Card), etc. Further, the memory 302 may also include both an internal storage unit of the terminal device and an external storage device.
- the memory 302 is used to store the computer program and other programs and data required by the terminal device.
- the memory 302 can also be used to temporarily store data that has been output or will be output.
- the terminal device provided in this embodiment can execute the foregoing method embodiment, and its implementation principle and technical effect are similar, and details are not repeated here.
- the embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method described in the foregoing method embodiment is implemented.
- the embodiment of the present application further provides a computer program product, which, when the computer program product runs on a terminal device, enables the terminal device to implement the method described in the foregoing method embodiments when executed.
- An embodiment of the present application further provides a chip system, including a processor, the processor is coupled to a memory, and the processor executes a computer program stored in the memory, so as to implement the method described in the above method embodiment.
- the chip system may be a single chip, or a chip module composed of multiple chips.
- the above integrated units are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the procedures in the methods of the above embodiments in the present application can be completed by instructing related hardware through computer programs, and the computer programs can be stored in a computer-readable storage medium.
- the computer program When executed by a processor, the steps in the above-mentioned various method embodiments can be realized.
- the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate form.
- the computer-readable storage medium may at least include: any entity or device capable of carrying computer program codes to a photographing device/terminal device, a recording medium, a computer memory, a read-only memory (Read-Only Memory, ROM), a random access Memory (Random Access Memory, RAM), electrical carrier signals, telecommunication signals, and software distribution media.
- a photographing device/terminal device a recording medium
- a computer memory a read-only memory (Read-Only Memory, ROM), a random access Memory (Random Access Memory, RAM), electrical carrier signals, telecommunication signals, and software distribution media.
- ROM read-only memory
- RAM random access Memory
- electrical carrier signals telecommunication signals
- software distribution media such as U disk, mobile hard disk, magnetic disk or optical disk, etc.
- computer readable media may not be electrical carrier signals and telecommunication signals under legislation and patent practice.
- references to "one embodiment” or “some embodiments” or the like in this application means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application.
- appearances of the phrases “in one embodiment,” “in some embodiments,” “in other embodiments,” “in other embodiments,” etc. in various places in this specification are not necessarily All refer to the same embodiment, but mean “one or more but not all embodiments” unless specifically stated otherwise.
- the terms “including”, “comprising”, “having” and variations thereof mean “including but not limited to”, unless specifically stated otherwise.
- first and second are used for description purposes only, and cannot be interpreted as indicating or implying relative importance or implicitly indicating the quantity of indicated technical features. Thus, the features defined as “first” and “second” may explicitly or implicitly include at least one of these features. It should also be understood that the term “and/or” used in the description of the present application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.
- connection and “connected” should be understood in a broad sense, for example, it can be mechanical connection or electrical connection; it can be direct connection or through An intermediate medium is indirectly connected, which can be the internal communication of two elements or the interaction relationship between two elements. Unless otherwise clearly defined, those of ordinary skill in the art can understand the above terms in this application according to the specific situation. specific meaning.
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Abstract
Description
Claims (10)
- 一种HDR视频转换方法,其特征在于,包括:对待处理的SDR视频进行抽帧处理,得到所述SDR视频中包含的M帧SDR视频帧;利用已训练的HDR视频转换模型将M帧SDR视频帧转换为M帧HDR视频帧,其中,所述M帧HDR视频帧中的第t帧HDR视频帧是根据所述SDR视频中包含第t帧SDR视频帧在内的K帧SDR视频帧转换得到,0<t≤M,t、K、M均为正整数;将所述M帧HDR视频帧进行合帧处理,得到与所述SDR视频对应的HDR视频。
- 根据权利要求1所述的方法,其特征在于,所述K帧SDR视频帧是连续的SDR视频帧。
- 根据权利要求1所述的方法,其特征在于,所述K帧SDR视频帧包括所述SDR视频中的第t-k帧SDR视频帧到第t+k帧SDR视频帧,其中,2k+1=K。
- 根据权利要求3所述的方法,其特征在于,若所述SDR视频中位于所述第t帧SDR视频帧之前的SDR视频帧数为n,0≤n<k,则所述K帧SDR视频帧包括k-n+1帧所述SDR视频中的第1帧SDR视频帧。
- 根据权利要求3或4所述的方法,其特征在于,若所述SDR视频中位于所述第t帧SDR视频帧之后的SDR视频帧数为p,0≤p<k,则所述K帧SDR视频帧包括k-p+1帧所述SDR视频中的第M帧SDR视频帧。
- 一种HDR视频转换装置,其特征在于,包括:抽帧单元,用于对待处理的SDR视频进行抽帧处理,得到所述SDR视频中包含的M帧SDR视频帧;转换单元,用于利用已训练的HDR视频转换模型将M帧SDR视频帧转换为M帧HDR视频帧,其中,所述M帧HDR视频帧中的第t帧HDR视频帧是根据所述SDR视频中包含第t帧SDR视频帧在内的K帧SDR视频帧转换得到,0<t≤M,t、K、M均为正整数;合帧单元,用于将所述M帧HDR视频帧进行合帧处理,得到与所述SDR视频对应的HDR视频。
- 根据权利要求6所述的装置,其特征在于,所述K帧SDR视频帧是连续的SDR视频帧。
- 根据权利要求6所述的装置,其特征在于,所述K帧SDR视频帧包括所述SDR视频中的第t-k帧SDR视频帧到第t+k帧SDR视频帧,其中,2k+1=K。
- 一种终端设备,包括存储器、处理器以及存储在所述存储器中并可在所述处理器上运行的计算机程序,其特征在于,所述处理器执行所述计算机程序时实现如权利要求1至5任一项所述的方法。
- 一种计算机可读存储介质,所述计算机可读存储介质存储有计算机程序,其特征在于,所述计算机程序被处理器执行时实现如权利要求1至5任一项所述的方法。
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| CN110310231A (zh) * | 2018-03-27 | 2019-10-08 | 天开数码媒体有限公司 | 一种将第一动态范围视频转换为第二动态范围视频的设备及其方法 |
| CN111784570A (zh) * | 2019-04-04 | 2020-10-16 | Tcl集团股份有限公司 | 一种视频图像超分辨率重建方法及设备 |
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| CN113781319A (zh) * | 2021-08-02 | 2021-12-10 | 中国科学院深圳先进技术研究院 | 一种hdr视频转换方法、装置、设备及计算机存储介质 |
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| US20190080440A1 (en) * | 2017-09-08 | 2019-03-14 | Interdigital Vc Holdings, Inc. | Apparatus and method to convert image data |
| CN110310231A (zh) * | 2018-03-27 | 2019-10-08 | 天开数码媒体有限公司 | 一种将第一动态范围视频转换为第二动态范围视频的设备及其方法 |
| CN111784570A (zh) * | 2019-04-04 | 2020-10-16 | Tcl集团股份有限公司 | 一种视频图像超分辨率重建方法及设备 |
| CN113784175A (zh) * | 2021-08-02 | 2021-12-10 | 中国科学院深圳先进技术研究院 | 一种hdr视频转换方法、装置、设备及计算机存储介质 |
| CN113781319A (zh) * | 2021-08-02 | 2021-12-10 | 中国科学院深圳先进技术研究院 | 一种hdr视频转换方法、装置、设备及计算机存储介质 |
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