WO2016101305A1 - 视频文件处理方法及显示装置 - Google Patents
视频文件处理方法及显示装置 Download PDFInfo
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- WO2016101305A1 WO2016101305A1 PCT/CN2014/095528 CN2014095528W WO2016101305A1 WO 2016101305 A1 WO2016101305 A1 WO 2016101305A1 CN 2014095528 W CN2014095528 W CN 2014095528W WO 2016101305 A1 WO2016101305 A1 WO 2016101305A1
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- compression
- video file
- image quality
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- compression ratio
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- 238000003672 processing method Methods 0.000 title claims abstract description 17
- 230000006835 compression Effects 0.000 claims abstract description 196
- 238000007906 compression Methods 0.000 claims abstract description 196
- 230000005540 biological transmission Effects 0.000 claims description 22
- 241000255925 Diptera Species 0.000 claims description 20
- 238000000034 method Methods 0.000 claims description 13
- 230000001629 suppression Effects 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 8
- 230000006978 adaptation Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
- H04N21/4402—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display
Definitions
- the present invention relates to the field of video technologies, and in particular, to a video file processing method and a display device.
- the image processed by compression using this scheme is inevitably subject to image loss compared to the original image. Moreover, these losses often manifest as different degrees of mosquito noise, block noise or reduced clarity.
- This image quality processing parameter is generally adjusted for the standard digital compressed video file signal, such as the high-definition multimedia interface input Blu-ray high-definition signal, because the signal itself has good image quality, the parameter adjustment degree is not large, so This image quality parameter is not suitable for compressed video file images with large image loss and poor image quality.
- the main object of the present invention is to provide a video file processing method and a display device, which are designed to retrieve different image quality processing parameters for video files of different compression attributes, and image quality according to the image quality processing parameters. Processing is performed to achieve an optimal image quality effect on the display device.
- the present invention provides a video file processing method, and the video file processing method includes the following steps:
- the image quality processing parameter corresponding to the compression ratio is retrieved, and the image quality is processed according to the image quality processing parameter to improve the image quality of the compressed video file.
- the step of calculating a compression ratio of the compressed video file according to the compression attribute comprises:
- the image quality processing parameters include removing mosquito noise processing parameters, removing block noise processing parameters, and sharpness processing parameters.
- the step of retrieving the image quality processing parameter corresponding to the compression ratio and processing the image quality according to the image quality processing parameter to improve the image quality of the compressed video file comprises:
- the compression ratio is greater than or equal to a predetermined value, performing strong noise suppression processing on the image quality according to the mosquito removing noise and/or removing the block noise processing parameter, and processing the parameter according to the definition Perform low frequency adjustments;
- the compression ratio is less than a predetermined value, performing weaker noise suppression processing on the image quality according to the mosquito removal noise and/or block noise processing parameter, and performing high frequency on the sharpness according to the resolution processing parameter. Adjustment.
- different compression ratios correspond to different image quality processing parameters.
- the compression attribute further includes a compressed video file size, a duration, a compression format, a resolution, and a frame rate.
- the video file is one of network video, multimedia video, or digital video.
- the present invention further provides a display device, the display device comprising:
- a receiving module configured to receive the compressed video file that is compressed
- a decoding module configured to perform decoding processing on the compressed video file, and obtain a compression attribute
- a calculating module configured to calculate, according to the compression attribute, a compression ratio of the compressed video file
- the processing module is configured to retrieve image quality processing parameters corresponding to the compression ratio, and process image quality according to the image quality processing parameters to improve image quality of the compressed video file.
- the calculation module comprises:
- An identifying unit configured to identify the compression attribute, to obtain a compression algorithm and a transmission code rate
- An obtaining unit configured to determine a standard code rate according to the compression algorithm
- a calculating unit configured to compare the transmission code rate with the standard code rate, and calculate a compression ratio of the compressed video file.
- the image quality processing parameters include removing mosquito noise processing parameters, removing block noise processing parameters, and sharpness processing parameters.
- the processing module comprises:
- a determining unit configured to determine whether the compression ratio is less than a predetermined value
- a first processing unit configured to perform a strong noise suppression process on the image quality according to the mosquito removal noise and/or the block noise removal parameter if the compression ratio is greater than or equal to a predetermined value, according to the The resolution processing parameter performs low frequency adjustment on the sharpness;
- a second processing unit configured to perform a weak noise suppression process on the image quality according to the mosquito removal noise and/or the block noise removal parameter if the compression ratio is less than a predetermined value, according to the definition
- the processing parameters are high frequency adjusted for sharpness.
- different compression ratios correspond to different image quality processing parameters.
- the compression attribute further includes a compressed video file size, a duration, a compression format, a resolution, and a frame rate.
- the video file is one of network video, multimedia video, or digital video.
- the invention obtains a compression attribute by performing a decoding process on the compressed video file, and calculates a compression ratio of the compressed video file according to the compression attribute, and then retrieves an image quality processing parameter corresponding to the compression ratio to image quality. Processing is performed to improve the image quality of the compressed video file, so that the video file can achieve an optimal image quality effect on the display device.
- FIG. 1 is a schematic flowchart of a video file processing method according to an embodiment of the present invention
- FIG. 2 is a schematic diagram of a refinement process of step S103 in FIG. 1;
- step S104 in FIG. 1 is a schematic diagram of a refinement process of step S104 in FIG. 1;
- FIG. 4 is a schematic diagram showing a case where the code rate of the MPEG4 coded stream is 2M;
- Figure 5 is a schematic diagram of the MPEG4 encoded code stream at a code rate of 5M;
- Figure 6 is a schematic diagram of the MPEG4 encoded code stream at a code rate of 10M;
- FIG. 7 is a schematic diagram of functional modules of an embodiment of a display device according to the present invention.
- FIG. 8 is a schematic diagram of a refinement function module of the calculation module in FIG. 7;
- FIG. 9 is a schematic diagram of functional modules of the processing module of FIG. 7.
- the present invention provides a video file processing method.
- the video file processing method includes the following steps:
- Step S101 receiving a compressed video file that has been compressed
- the display device is preferably a television set.
- other display devices that can play video files may be used.
- the following description takes a television as an example.
- the television receives the compressed compressed video file transmitted over the Internet.
- Step S102 performing decoding processing on the compressed video file, and acquiring a compression attribute
- the television performs decoding processing on the compressed video file to obtain compression attributes of the compressed video file, such as size, duration, compression format, resolution, frame rate, compression algorithm, and transmission rate of the compressed video file.
- compression attributes of the compressed video file such as size, duration, compression format, resolution, frame rate, compression algorithm, and transmission rate of the compressed video file.
- any video playback software can obtain compression properties by reading a compressed video file.
- Step S103 calculating, according to the compression attribute, a compression ratio of the compressed video file.
- the compression ratio of the compressed video file is calculated by compressing the compression algorithm and the transmission code rate. It can be understood that the unused compression algorithms correspond to different standard code rates, and thus the compression ratios of different compression algorithms are also different.
- the compressed video file has a loss of image compared with the original image. And this kind of image loss, for different compression algorithms, different compression ratios, the degree of loss is different.
- low compression ratio digital video images are of good quality, while high compression ratio digital video images are of poor quality.
- Step S104 the image quality processing parameter corresponding to the compression ratio is retrieved, and the image quality is processed according to the image quality processing parameter to improve the image quality of the compressed video file.
- different video compression ratios that is, digital video types corresponding to different image qualities
- the image quality is processed correspondingly to improve the image quality of the compressed video file.
- the step S103 includes:
- Step S1031 identifying the compression attribute, and obtaining a compression algorithm and a transmission code rate
- the television recognizes the compression attribute, and obtains a compression algorithm and a transmission code rate therein.
- Step S1032 determining a standard code rate according to the compression algorithm
- each video file compression algorithm there is a corresponding compression code rate of the high quality image quality, that is, a standard code rate.
- Step S1033 comparing the transmission code rate with the standard code rate, and calculating a compression ratio of the compressed video file.
- MPEG Motion Picture Experts Group
- the video compression ratio ⁇ is obtained according to the original video code rate and the compressed code rate (ie, the transmission code rate), and is independent of attributes such as resolution and duration, and thus can be summarized as a corresponding video compression algorithm. a characteristic information.
- the image quality processing parameters include removing mosquito noise processing parameters, removing block noise processing parameters, and clearing Degree processing parameters
- the step S104 includes:
- Step S1041 determining whether the compression ratio is less than a predetermined value
- the code stream of 1280*720 resolution for MPEG4 encoding the code stream of 2M code rate, the mosquito noise and block noise are obviously more than 5M and 10M code rate.
- the code stream, and its resolution is significantly worse than the code stream of 5M and 10M code rate; and the code stream of 5M and 10M code rate has little difference, so for the video file, when the code rate is >5M, even further Increasing the bit rate does not improve the clarity of its video.
- the processing parameter adaptation table for the video compression algorithm can be defined according to the video compression ratio.
- the predetermined value may be set to 80.
- the compression ratio is greater than or equal to the predetermined value 80, the image loss of the high compression ratio video file is severe; and when the compression ratio is less than the predetermined When the value is displayed, it indicates that the image loss of the low compression ratio video file is light.
- the corresponding processing parameters with strong adjustment degree should be retrieved for processing, and for the video files with lighter loss, the corresponding processing parameters with weaker adjustment degree should be called for processing.
- Step S1042 if the compression ratio is greater than or equal to a predetermined value, performing strong noise suppression processing on the image quality according to the mosquito removing noise and/or removing the block noise processing parameter, and processing the parameter according to the definition. Low frequency adjustment of sharpness;
- the digital video type 1 corresponding to the image quality is retrieved at this time, and the image quality is strongly suppressed by the image quality.
- the picture is clean and smooth. It should be understood that as the degree of image noise suppression becomes stronger, the image sharpness will be deteriorated, the picture will be blurred, and the image edges will be unclear. Therefore, for signals with different noise levels, dynamic noise processing is required, and the definition is appropriately improved. Therefore, at the same time, it is necessary to perform low-frequency adjustment on the sharpness according to the resolution processing parameter, and perform edge-wrapping processing on the edge and the contour portion of the image to improve the definition.
- Step S1043 if the compression ratio is less than a predetermined value, performing weaker noise suppression processing on the image quality according to the mosquito removal noise and/or block noise processing parameter, and correcting the parameter according to the resolution processing parameter. Perform high frequency adjustment.
- the digital video type 2 corresponding to the image quality is retrieved at this time, and the image quality is weakly suppressed.
- the original detail of the picture is maintained; at the same time, the high definition of the sharpness is adjusted according to the resolution processing parameter, thereby improving the detail expression of the picture.
- the digital video type is not limited to the two processing parameters provided by this embodiment.
- different image quality processing parameters are only applicable to the corresponding digital video type, and cannot be used interchangeably.
- the compression attribute further includes a compressed video file size, a duration, a compression format, a resolution, and a frame rate.
- Compression attributes include the size, duration, compression format, resolution, frame rate, and compression algorithm and transmission rate of the compressed video file. It will be appreciated that any video playback software can obtain compression properties by reading a compressed video file.
- the video file is one of a network video, a multimedia video, or a digital video.
- the present invention also provides a display device 1.
- the display device 1 includes:
- the receiving module 101 is configured to receive the compressed video file that is compressed
- the display device is preferably a television set.
- other display devices that can play video files may be used.
- the following description takes a television as an example.
- the television receives the compressed compressed video file transmitted over the Internet.
- the decoding module 102 is configured to perform decoding processing on the compressed video file, and obtain a compression attribute
- the television performs decoding processing on the compressed video file to obtain compression attributes of the compressed video file, such as size, duration, compression format, resolution, frame rate, compression algorithm, and transmission rate of the compressed video file.
- compression attributes of the compressed video file such as size, duration, compression format, resolution, frame rate, compression algorithm, and transmission rate of the compressed video file.
- any video play file can obtain a compression attribute by reading a compressed video file.
- the calculating module 103 is configured to calculate, according to the compression attribute, a compression ratio of the compressed video file.
- the compression ratio of the compressed video file is calculated by compressing the compression algorithm and the transmission code rate. It can be understood that the unused compression algorithms correspond to different standard code rates, and thus the compression ratios of different compression algorithms are also different.
- the compressed video file has a loss of image compared with the original image. And this kind of image loss, for different compression algorithms, different compression ratios, the degree of loss is different.
- low compression ratio digital video images are of good quality, while high compression ratio digital video images are of poor quality.
- the processing module 104 is configured to retrieve image quality processing parameters corresponding to the compression ratio, and process image quality according to the image quality processing parameters to improve image quality of the compressed video file.
- different video compression ratios that is, digital video types corresponding to different image qualities
- the image quality is processed correspondingly to improve the image quality of the compressed video file.
- the calculating module 103 includes:
- the identifying unit 1031 is configured to identify the compression attribute, obtain a compression algorithm, and a transmission code rate.
- the television recognizes the compression attribute, and obtains a compression algorithm and a transmission code rate therein.
- An obtaining unit 1032 configured to determine a standard code rate according to the compression algorithm
- each video file compression algorithm there is a corresponding compression code rate of the high quality image quality, that is, a standard code rate.
- the calculating unit 1033 is configured to compare the transmission code rate with the standard code rate, and calculate a compression ratio of the compressed video file.
- an MPEG (Moving Pictures Experts Group) 4 coded stream with a resolution of 1280*720 is taken as an example.
- the compression ratio of the video is different: Resolution Code rate File size (KB) Duration (s) Frame rate Wide (Pixel) High (Pixel) Rate (kbps) Source code rate (kbps) Video compression ratio ( ⁇ ) 2M code rate 7510 30.976 23.976 1280 720 2000 518400 259.2 5M code rate 18132 30.976 23.976 1280 720 4795 518400 108.1126173 10M code rate 35951 30.976 23.976 1280 720 9508 518400 54.52250736
- the video compression ratio ⁇ is obtained according to the original video code rate and the compressed code rate (ie, the transmission code rate), and is independent of attributes such as resolution and duration, and thus can be summarized as a corresponding video compression algorithm. a characteristic information.
- the image quality processing parameters include removing mosquito noise processing parameters, removing block noise processing parameters, and clearing Processing the parameters
- the processing module 104 includes:
- the determining unit 1041 is configured to determine whether the compression ratio is less than a predetermined value
- the code stream of 1280*720 resolution for MPEG4 encoding the code stream of 2M code rate, the mosquito noise and block noise are obviously more than 5M and 10M code rate.
- the code stream, and its resolution is significantly worse than the code stream of 5M and 10M code rate; and the code stream of 5M and 10M code rate has little difference, so for the video file, when the code rate is >5M, even further Increasing the bit rate does not improve the clarity of its video.
- the processing parameter adaptation table for the video compression algorithm can be defined according to the video compression ratio.
- the predetermined value may be set to 80.
- the compression ratio is greater than or equal to the predetermined value 80, the image loss of the high compression ratio video file is severe; and when the compression ratio is less than the predetermined When the value is displayed, it indicates that the image loss of the low compression ratio video file is light.
- the corresponding processing parameters with strong adjustment degree should be retrieved for processing, and for the video files with lighter loss, the corresponding processing parameters with weaker adjustment degree should be called for processing.
- the first processing unit 1042 is configured to perform strong noise suppression processing on the image quality according to the mosquito removing noise and/or removing the block noise parameter, if the compression ratio is greater than or equal to a predetermined value, according to the The resolution processing parameter performs low frequency adjustment on the sharpness;
- the digital video type 1 corresponding to the image quality is retrieved at this time, and the image quality is strongly suppressed by the image quality.
- the picture is clean and smooth. It should be understood that as the degree of image noise suppression becomes stronger, the image sharpness will be deteriorated, the picture will be blurred, and the image edges will be unclear. Therefore, for signals with different noise levels, dynamic noise processing is required, and the definition is appropriately improved. Therefore, at the same time, it is necessary to perform low-frequency adjustment on the sharpness according to the resolution processing parameter, and perform edge-wrapping processing on the edge and the contour portion of the image to improve the definition.
- the second processing unit 1043 is configured to perform a weak noise suppression process on the image quality according to the mosquito removal noise and/or the block noise removal parameter if the compression ratio is less than a predetermined value, and according to the clarity
- the processing parameters are used to make high-frequency adjustments to the sharpness.
- the digital video type 2 corresponding to the image quality is retrieved at this time, and the image quality is weakly suppressed.
- the original detail of the picture is maintained; at the same time, the high definition of the sharpness is adjusted according to the resolution processing parameter, thereby improving the detail expression of the picture.
- the digital video type is not limited to the two processing parameters provided by this embodiment.
- different image quality processing parameters are only applicable to the corresponding digital video type, and cannot be used interchangeably.
- the compression attribute further includes a compressed video file size, a duration, a compression format, a resolution, and a frame rate.
- Compression attributes include the size, duration, compression format, resolution, frame rate, and compression algorithm and transmission rate of the compressed video file. It will be appreciated that any video playback software can obtain compression properties by reading a compressed video file.
- the video file is one of a network video, a multimedia video, or a digital video.
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Abstract
本发明公开了本发明提供一种视频文件处理方法，包括以下步骤：接收经压缩处理的压缩视频文件；对所述压缩视频文件进行解码处理，并获取压缩属性；根据所述压缩属性，计算得到所述压缩视频文件的压缩比；调取所述压缩比对应的图像画质处理参数，并根据所述图像画质处理参数对图像画质进行处理，以提升压缩视频文件的图像画质。本发明还公开了一种显示装置。本发明可以针对不同压缩属性的视频文件，调取不同的图像画质处理参数，并根据所述图像画质处理参数对图像画质进行处理，以在显示装置上达到最优的图像画质效果。
Description
技术领域
本发明涉及视频技术领域，尤其涉及一种视频文件处理方法及显示装置。
背景技术
目前，越来越多的视频内容不再通过传统广播电视网进入用户家庭，而是先经压缩后形成压缩视频文件再通过Internet传输进入用户家庭，由于各个用户家庭的网络带宽情况不同，会造成传输给不同用户的压缩视频文件数据量不同，因此，为了满足不同用户对压缩视频文件图像的图像清晰度以及播放流畅度等观赏需求，网络提供商往往会提供不同压缩比的压缩视频文件给用户下载播放。这样，网络带宽低的用户为满足播放的流畅度，通常会选择播放高压缩比、低码率的压缩视频文件来下载播放，而网络带宽高的用户为看到更清晰的图像内容，会选择播放低压缩比、高码率的压缩视频文件来下载播放。
采用这种方案压缩处理后的图像与原始图像相比，必然会存在图像损失。而且，这些损失往往表现为不同程度的蚊式噪声、方块噪声或者清晰度降低等现象。但现有的显示装置在对图像画质进行处理时，往往对接收到的经不同图像压缩算法和不同压缩比而压缩的压缩视频文件，只有一种图像画质参数进行处理，并没有根据视频文件的压缩特征做相应的参数适配。这种画质处理参数一般都是针对标准数字压缩视频文件信号来进行调整的，如高清晰度多媒体接口输入的蓝光高清信号，由于信号本身画质较好，其参数调整程度并不大，因此，这种画质参数并不适合图像损失大，画质较差的压缩视频文件图像。
上述内容仅用于辅助理解本发明的技术方案，并不代表承认上述内容是现有技术。
发明内容
本发明的主要目的在于提供一种视频文件处理方法及显示装置，旨在针对不同压缩属性的视频文件，调取不同的图像画质处理参数，并根据所述图像画质处理参数对图像画质进行处理，以在显示装置上达到最优的图像画质效果。
为实现上述目的，本发明提供一种视频文件处理方法，所述视频文件处理方法包括以下步骤：
接收经压缩处理的压缩视频文件；
对所述压缩视频文件进行解码处理，并获取压缩属性；
根据所述压缩属性，计算得到所述压缩视频文件的压缩比；
调取所述压缩比对应的图像画质处理参数，并根据所述图像画质处理参数对图像画质进行处理，以提升压缩视频文件的图像画质。
优选地，所述根据所述压缩属性，计算得到所述压缩视频文件的压缩比的步骤包括：
识别所述压缩属性，得到压缩算法和传输码率；
根据所述压缩算法确定标准码率；
将所述传输码率和所述标准码率进行比较，计算得到所述压缩视频文件的压缩比。
优选地，所述图像画质处理参数包括去除蚊式噪声处理参数、去除方块噪声处理参数以及清晰度处理参数。
优选地，所述调取所述压缩比对应的图像画质处理参数，并根据所述图像画质处理参数对图像画质进行处理，以提升压缩视频文件的图像画质的步骤包括：
判断所述压缩比是否小于预定值；
若所述压缩比大于或等于预定值，则根据去除蚊式噪声和/或去除方块噪声处理参数对所述图像画质进行较强的噪声抑制处理，同时根据所述清晰度处理参数对清晰度进行低频调整；
若所述压缩比小于预定值，则根据去除蚊式噪声和/或方块噪声处理参数对所述图像画质进行较弱的噪声抑制处理，同时根据所述清晰度处理参数对清晰度进行高频调整。
优选地，在所述压缩算法相同时，不同的所述压缩比一一对应不同的所述图像画质处理参数。
优选地，所述压缩属性还包括压缩视频文件大小、时长、压缩格式、分辨率以及帧频。
优选地，所述视频文件为网络视频、多媒体视频、或数字视频中的一种。
此外，为实现上述目的，本发明还提供一种显示装置，所述显示装置包括：
接收模块，用于接收经压缩处理的压缩视频文件；
解码模块，用于对所述压缩视频文件进行解码处理，并获取压缩属性；
计算模块，用于根据所述压缩属性，计算得到所述压缩视频文件的压缩比；
处理模块，用于调取所述压缩比对应的图像画质处理参数，并根据所述图像画质处理参数对图像画质进行处理，以提升压缩视频文件的图像画质。
优选地，所述计算模块包括：
识别单元，用于识别所述压缩属性，得到压缩算法和传输码率；
获取单元，用于根据所述压缩算法确定标准码率；
计算单元，用于将所述传输码率和所述标准码率进行比较，计算得到所述压缩视频文件的压缩比。
优选地，所述图像画质处理参数包括去除蚊式噪声处理参数、去除方块噪声处理参数以及清晰度处理参数。
优选地，所述处理模块包括：
判断单元，用于判断所述压缩比是否小于预定值；
第一处理单元，用于若所述压缩比大于或等于预定值，则根据去除蚊式噪声和/或去除方块噪声处理参数对所述图像画质进行较强的噪声抑制处理，同时根据所述清晰度处理参数对清晰度进行低频调整；
第二处理单元，用于若所述压缩比小于预定值，则根据去除蚊式噪声和/或去除方块噪声处理参数对所述图像画质进行较弱的噪声抑制处理，同时根据所述清晰度处理参数对清晰度进行高频调整。
优选地，在所述压缩算法相同时，不同的所述压缩比一一对应不同的所述图像画质处理参数。
优选地，所述压缩属性还包括压缩视频文件大小、时长、压缩格式、分辨率以及帧频。
优选地，所述视频文件为网络视频、多媒体视频、或数字视频中的一种。
本发明通过对压缩视频文件进行解码处理获取压缩属性，并根据所述压缩属性，计算得到所述压缩视频文件的压缩比，再调取所述压缩比对应的图像画质处理参数对图像画质进行处理，从而提升压缩视频文件的图像画质，使得视频文件在显示装置可以达到最优的图像画质效果。
附图说明
图1为本发明视频文件处理方法一实施例的流程示意图；
图2为图1中步骤S103的细化流程示意图；
图3为图1中步骤S104的细化流程示意图；
图4为MPEG4编码码流的码率为2M时的示意图；
图5为MPEG4编码码流的码率为5M时的示意图；
图6为MPEG4编码码流的码率为10M时的示意图；
图7为本发明显示装置一实施例的功能模块示意图；
图8为图7中计算模块的细化功能模块示意图；
图9为图7中处理模块的功能模块示意图。
本发明目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
具体实施方式
应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。
本发明提供一种视频文件处理方法，参照图1，在一实施例中，所述视频文件处理方法包括以下步骤：
步骤S101，接收经压缩处理的压缩视频文件；
本优选实施例中，所述显示装置优选为电视机，当然也可以为其他可以播放视频文件的显示装置，以下全文以电视机为例进行说明。电视机接收通过Internet传输过来的经压缩处理的压缩视频文件。
步骤S102，对所述压缩视频文件进行解码处理，并获取压缩属性；
本优选实施例中，电视机对所述压缩视频文件进行解码处理，获取压缩视频文件的压缩属性，如压缩视频文件的大小、时长、压缩格式、分辨率、帧频以及压缩算法和传输码率。可以理解的是，任何视频播放软件可以通过读取压缩视频文件而获得压缩属性。
步骤S103，根据所述压缩属性，计算得到所述压缩视频文件的压缩比；
本优选实施例中，具体通过压缩属性中的压缩算法和传输码率，来计算得到所述压缩视频文件的压缩比。可以理解的是，不用的压缩算法对应不同的标准码率，因而，不同压缩算法对应的压缩比也不同。
可以理解的是，经过压缩处理后的视频文件，与原始图像相比，必然存在图像损失。而这种图像损失，对于不同的压缩算法，不同的压缩比，其损失程度不同。本优选实施例中，对于数字视频信号，低压缩比的数字视频图像质量好，而高压缩比的数字视频图像质量差。
步骤S104，调取所述压缩比对应的图像画质处理参数，并根据所述图像画质处理参数对图像画质进行处理，以提升压缩视频文件的图像画质。
本实施例中，在视频文件压缩算法一定的前提下，不同的视频压缩比即对应不同图像质量的数字视频类型，可以调取所述压缩比对应的图像画质处理参数，并以对应的参数对图像进行相应的画质处理，从而提升压缩视频文件的图像画质。
在一实施例中，如图2所示，在上述图1的实施例的基础上，本实施例中，所述步骤S103包括：
步骤S1031，识别所述压缩属性，得到压缩算法和传输码率；
本实施例中，电视机识别压缩属性，获取其中的压缩算法和传输码率。
步骤S1032，根据所述压缩算法确定标准码率；
本实施例中，对于每一种视频文件压缩算法，都有其对应的优质画质的压缩码率，即为标准码率。
步骤S1033，将所述传输码率和所述标准码率进行比较，计算得到所述压缩视频文件的压缩比。
参照表1，本实施例中，以分辨率为1280*720的MPEG（Moving Pictures Experts
Group，动态图像专家组）4编码码流为例，根据压缩属性，不同码率的码流其相对于原始视频的压缩比不同：
| 分辨率 | ||||||||
| 码率 | 文件大小（KB） | 时长(s) | 帧频 | 宽 （Pixel） | 高 （Pixel） | 码率 （kbps） | 原始码率（kbps） | 视频压缩比 （α） |
| 2M码率 | 7510 | 30.976 | 23.976 | 1280 | 720 | 2000 | 518400 | 259.2 |
| 5M码率 | 18132 | 30.976 | 23.976 | 1280 | 720 | 4795 | 518400 | 108.1126173 |
| 10M码率 | 35951 | 30.976 | 23.976 | 1280 | 720 | 9508 | 518400 | 54.52250736 |
表1
本实施例中，视频压缩比α是根据原始视频码率和压缩后的码率（即传输码率）相比而得，与分辨率、时长等属性无关，因此可以归纳为对应该视频压缩算法的一种特征信息。
在一实施例中，如图3所示，在上述图1的实施例的基础上，本实施例中，所述图像画质处理参数包括去除蚊式噪声处理参数、去除方块噪声处理参数以及清晰度处理参数，所述步骤S104包括：
步骤S1041，判断所述压缩比是否小于预定值；
结合图4、图5和图6，可以对比发现，针对MPEG4编码的1280*720分辨率的码流：2M码率的码流，其蚊式噪声和方块噪声明显多于5M和10M码率的码流，且其清晰度明显差于5M和10M码率的码流；而5M和10M码率的码流，其对比差异不大，所以针对该视频文件，当码率>5M时，即使进一步提高码率对其视频清晰度的提升效果也不明显。
由于视频的压缩比可以归纳为对应该视频压缩算法的一种特征信息，因此，可以根据视频压缩比定义针对该视频压缩算法的处理参数适配表。本优选实施例中，可以设定所述预定值为80，当所述压缩比大于或等于预定值80时，表明该高压缩比视频文件的图像损失较严重；而当所述压缩比小于预定值时，表明该低压缩比视频文件的图像损失较轻。针对损失严重的视频文件，应调取对应的调整程度较强的处理参数进行处理，而针对损失较轻的视频文件，应调取对应的调整程度较弱的处理参数进行处理。
步骤S1042，若所述压缩比大于或等于预定值，则根据去除蚊式噪声和/或去除方块噪声处理参数对所述图像画质进行较强的噪声抑制处理，同时根据所述清晰度处理参数对清晰度进行低频调整;
本优选实施例中，对于MPEG4视频压缩算法，当视频压缩比α≥80时，此时调取对应的图像质量的数字视频类型一，对所述图像画质进行较强的噪声抑制处理，使画面干净平滑。应当理解的是，随着图像噪声抑制程度变强，图像清晰度都会随之变差，画面模糊，图像边缘不清晰。因此针对不同噪声程度的信号，需要进行动态噪声处理，同时配合清晰度适当提高。因此，同时需要根据所述清晰度处理参数对清晰度进行低频调整，对图像的边缘和轮廓部分进行勾边处理而提高清晰度。
步骤S1043，若所述压缩比小于预定值，则根据去除蚊式噪声和/或方块噪声处理参数对所述图像画质进行较弱的噪声抑制处理，同时根据所述清晰度处理参数对清晰度进行高频调整。
本优选实施例中，对于MPEG4视频压缩算法，当视频压缩比α＜80时，此时调取对应的图像质量的数字视频类型二，对所述图像画质进行较弱的噪声抑制处理，以保持画面原始细节；同时根据所述清晰度处理参数对清晰度进行高频调整，从而提升画面细节表现力。
在一实施例中，在所述压缩算法相同时，不同的所述压缩比一一对应不同的所述图像画质处理参数。应当理解的是，数字视频类型并不局限于本实施例提供的两种处理参数。当然，也可以根据实际需要，细化更多的数字视频类型，可以设置预设数字视频类型一，直接对应处理参数一；预设数字视频类型二，直接对应处理参数二；设置预设数字视频类型三，直接对应处理参数三；直至设置预设数字视频类型N，直接对应处理参数N，当确定所述压缩文件为数字视频类型N时，可直接调取对应的处理参数N，并直接按照调取的对应参数处理即可。可以理解的是，本优选实施例中，不同的图像画质处理参数仅适用于对应的数字视频类型，并不能交叉使用。
在一实施例中，所述压缩属性还包括压缩视频文件大小、时长、压缩格式、分辨率以及帧频。
压缩属性包括压缩视频文件的大小、时长、压缩格式、分辨率、帧频以及压缩算法和传输码率。可以理解的是，任何视频播放软件可以通过读取压缩视频文件而获得压缩属性。
在一实施例中，所述视频文件为网络视频、多媒体视频、或数字视频中的一种。
应当理解的是，所述视频文件并不局限于这几种类型。
本发明还提供一种显示装置1，参照图7，在一实施例中，所述显示装置1包括：
接收模块101，用于接收经压缩处理的压缩视频文件；
本优选实施例中，所述显示装置优选为电视机，当然也可以为其他可以播放视频文件的显示装置，以下全文以电视机为例进行说明。电视机接收通过Internet传输过来的经压缩处理的压缩视频文件。
解码模块102，用于对所述压缩视频文件进行解码处理，并获取压缩属性；
本优选实施例中，电视机对所述压缩视频文件进行解码处理，获取压缩视频文件的压缩属性，如压缩视频文件的大小、时长、压缩格式、分辨率、帧频以及压缩算法和传输码率。可以理解的是，任何视频播放文件可以通过读取压缩视频文件而获得压缩属性。
计算模块103，用于根据所述压缩属性，计算得到所述压缩视频文件的压缩比；
本优选实施例中，具体通过压缩属性中的压缩算法和传输码率，来计算得到所述压缩视频文件的压缩比。可以理解的是，不用的压缩算法对应不同的标准码率，因而，不同压缩算法对应的压缩比也不同。
可以理解的是，经过压缩处理后的视频文件，与原始图像相比，必然存在图像损失。而这种图像损失，对于不同的压缩算法，不同的压缩比，其损失程度不同。本优选实施例中，对于数字视频信号，低压缩比的数字视频图像质量好，而高压缩比的数字视频图像质量差。
处理模块104，用于调取所述压缩比对应的图像画质处理参数，并根据所述图像画质处理参数对图像画质进行处理，以提升压缩视频文件的图像画质。
本实施例中，在视频文件压缩算法一定的前提下，不同的视频压缩比即对应不同图像质量的数字视频类型，可以调取所述压缩比对应的图像画质处理参数，并以对应的参数对图像进行相应的画质处理，从而提升压缩视频文件的图像画质。
在一实施例中，如图8所示，在上述图7的实施例的基础上，本实施例中，所述计算模块103包括：
识别单元1031，用于识别所述压缩属性，得到压缩算法和传输码率；
本实施例中，电视机识别压缩属性，获取其中的压缩算法和传输码率。
获取单元1032，用于根据所述压缩算法确定标准码率；
本实施例中，对于每一种视频文件压缩算法，都有其对应的优质画质的压缩码率，即为标准码率。
计算单元1033，用于将所述传输码率和所述标准码率进行比较，计算得到所述压缩视频文件的压缩比。
参照表1，本实施例中，以分辨率为1280*720的MPEG（Moving Pictures
Experts Group，动态图像专家组）4编码码流为例，根据压缩属性，不同码率的码流其相对于原始视频的压缩比不同：
| 分辨率 | ||||||||
| 码率 | 文件大小（KB） | 时长(s) | 帧频 | 宽 （Pixel） | 高 （Pixel） | 码率 （kbps） | 原始码率（kbps） | 视频压缩比 （α） |
| 2M码率 | 7510 | 30.976 | 23.976 | 1280 | 720 | 2000 | 518400 | 259.2 |
| 5M码率 | 18132 | 30.976 | 23.976 | 1280 | 720 | 4795 | 518400 | 108.1126173 |
| 10M码率 | 35951 | 30.976 | 23.976 | 1280 | 720 | 9508 | 518400 | 54.52250736 |
表1
本实施例中，视频压缩比α是根据原始视频码率和压缩后的码率（即传输码率）相比而得，与分辨率、时长等属性无关，因此可以归纳为对应该视频压缩算法的一种特征信息。
在一实施例中，如图9所示，在上述图7的实施例的基础上，本实施例中，所述图像画质处理参数包括去除蚊式噪声处理参数、去除方块噪声处理参数以及清晰度处理参数，所述处理模块104包括：
判断单元1041，用于判断所述压缩比是否小于预定值；
结合图4、图5和图6，可以对比发现，针对MPEG4编码的1280*720分辨率的码流：2M码率的码流，其蚊式噪声和方块噪声明显多于5M和10M码率的码流，且其清晰度明显差于5M和10M码率的码流；而5M和10M码率的码流，其对比差异不大，所以针对该视频文件，当码率>5M时，即使进一步提高码率对其视频清晰度的提升效果也不明显。
由于视频的压缩比可以归纳为对应该视频压缩算法的一种特征信息，因此，可以根据视频压缩比定义针对该视频压缩算法的处理参数适配表。本优选实施例中，可以设定所述预定值为80，当所述压缩比大于或等于预定值80时，表明该高压缩比视频文件的图像损失较严重；而当所述压缩比小于预定值时，表明该低压缩比视频文件的图像损失较轻。针对损失严重的视频文件，应调取对应的调整程度较强的处理参数进行处理，而针对损失较轻的视频文件，应调取对应的调整程度较弱的处理参数进行处理。
第一处理单元1042，用于若所述压缩比大于或等于预定值，则根据去除蚊式噪声和/或去除方块噪声参数对所述图像画质进行较强的噪声抑制处理，同时根据所述清晰度处理参数对清晰度进行低频调整；
本优选实施例中，对于MPEG4视频压缩算法，当视频压缩比α≥80时，此时调取对应的图像质量的数字视频类型一，对所述图像画质进行较强的噪声抑制处理，使画面干净平滑。应当理解的是，随着图像噪声抑制程度变强，图像清晰度都会随之变差，画面模糊，图像边缘不清晰。因此针对不同噪声程度的信号，需要进行动态噪声处理，同时配合清晰度适当提高。因此，同时需要根据所述清晰度处理参数对清晰度进行低频调整，对图像的边缘和轮廓部分进行勾边处理而提高清晰度。
第二处理单元1043，用于若所述压缩比小于预定值，则根据去除蚊式噪声和/或去除方块噪声处理参数对所述图像画质进行较弱的噪声抑制处理，同时根据所述清晰度处理参数对清晰度进行高频调整。
本优选实施例中，对于MPEG4视频压缩算法，当视频压缩比α＜80时，此时调取对应的图像质量的数字视频类型二，对所述图像画质进行较弱的噪声抑制处理，以保持画面原始细节；同时根据所述清晰度处理参数对清晰度进行高频调整，从而提升画面细节表现力。
在一实施例中，在所述压缩算法相同时，不同的所述压缩比一一对应不同的所述图像画质处理参数。应当理解的是，数字视频类型并不局限于本实施例提供的两种处理参数。当然，也可以根据实际需要，细化更多的数字视频类型，可以设置预设数字视频类型一，直接对应处理参数一；预设数字视频类型二，直接对应处理参数二；设置预设数字视频类型三，直接对应处理参数三；直至设置预设数字视频类型N，直接对应处理参数N，当确定所述压缩文件为数字视频类型N时，可直接调取对应的处理参数N，并直接按照调取的对应参数处理即可。可以理解的是，本优选实施例中，不同的图像画质处理参数仅适用于对应的数字视频类型，并不能交叉使用。
在一实施例中，所述压缩属性还包括压缩视频文件大小、时长、压缩格式、分辨率以及帧频。
压缩属性包括压缩视频文件的大小、时长、压缩格式、分辨率、帧频以及压缩算法和传输码率。可以理解的是，任何视频播放软件可以通过读取压缩视频文件而获得压缩属性。
在一实施例中，所述视频文件为网络视频、多媒体视频、或数字视频中的一种。
应当理解的是，所述视频文件并不局限于这几种类型。
以上仅为本发明的优选实施例，并非因此限制本发明的专利范围，凡是利用本发明说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本发明的专利保护范围内。
Claims (14)
- 一种视频文件处理方法，其特征在于，所述视频文件处理方法包括以下步骤：接收经压缩处理的压缩视频文件；对所述压缩视频文件进行解码处理，并获取压缩属性；根据所述压缩属性，计算得到所述压缩视频文件的压缩比；调取所述压缩比对应的图像画质处理参数，并根据所述图像画质处理参数对图像画质进行处理，以提升压缩视频文件的图像画质。
- 如权利要求1所述的视频文件处理方法，其特征在于，所述根据所述压缩属性，计算得到所述压缩视频文件的压缩比的步骤包括：识别所述压缩属性，得到压缩算法和传输码率；根据所述压缩算法确定标准码率；将所述传输码率和所述标准码率进行比较，计算得到所述压缩视频文件的压缩比。
- 如权利要求1所述的视频文件处理方法，其特征在于，所述图像画质处理参数包括去除蚊式噪声处理参数、去除方块噪声处理参数以及清晰度处理参数。
- 如权利要求3所述的视频文件处理方法，其特征在于，所述调取所述压缩比对应的图像画质处理参数，并根据所述图像画质处理参数对图像画质进行处理，以提升压缩视频文件的图像画质的步骤包括：判断所述压缩比是否小于预定值；若所述压缩比大于或等于预定值，则根据去除蚊式噪声和/或去除方块噪声处理参数对所述图像画质进行较强的噪声抑制处理，同时根据所述清晰度处理参数对清晰度进行低频调整；若所述压缩比小于预定值，则根据去除蚊式噪声和/或去除方块噪声处理参数对所述图像画质进行较弱的噪声抑制处理，同时根据所述清晰度处理参数对清晰度进行高频调整。
- 如权利要求2所述的视频文件处理方法，其特征在于，在所述压缩算法相同时，不同的所述压缩比一一对应不同的所述图像画质处理参数。
- 如权利要求2所述的视频文件处理方法，其特征在于，所述压缩属性还包括压缩视频文件大小、时长、压缩格式、分辨率以及帧频。
- 如权利要求1至6中任一所述的视频文件处理方法，其特征在于，所述视频文件为网络视频、多媒体视频、或数字视频中的一种。
- 一种显示装置，其特征在于，所述显示装置包括：接收模块，用于接收经压缩处理的压缩视频文件；解码模块，用于对所述压缩视频文件进行解码处理，并获取压缩属性；计算模块，用于根据所述压缩属性，计算得到所述压缩视频文件的压缩比；处理模块，用于调取所述压缩比对应的图像画质处理参数，并根据所述图像画质处理参数对图像画质进行处理，以提升压缩视频文件的图像画质。
- 如权利要求8所述的显示装置，其特征在于，所述计算模块包括：识别单元，用于识别所述压缩属性，得到压缩算法和传输码率；获取单元，用于根据所述压缩算法确定标准码率；计算单元，用于将所述传输码率和所述标准码率进行比较，计算得到所述压缩视频文件的压缩比。
- 如权利要求8所述的显示装置，其特征在于，所述图像画质处理参数包括去除蚊式噪声处理参数、去除方块噪声处理参数以及清晰度处理参数。
- 如权利要求10所述的显示装置，其特征在于，所述处理模块包括：判断单元，用于判断所述压缩比是否小于预定值；第一处理单元，用于若所述压缩比大于或等于预定值，则根据去除蚊式噪声和/或去除方块噪声处理参数对所述图像画质进行较强的噪声抑制处理，同时根据所述清晰度处理参数对清晰度进行低频调整；第二处理单元，用于若所述压缩比小于预定值，则根据去除蚊式噪声和/或去除方块噪声处理参数对所述图像画质进行较弱的噪声抑制处理，同时根据所述清晰度处理参数对清晰度进行高频调整。
- 如权利要求9所述的显示装置，其特征在于，在所述压缩算法相同时，不同的所述压缩比一一对应不同的所述图像画质处理参数。
- 如权利要求9所述的显示装置，其特征在于，所述压缩属性还包括压缩视频文件大小、时长、压缩格式、分辨率以及帧频。
- 如权利要求8至13中任一项所述的显示装置，其特征在于，所述视频文件为网络视频、多媒体视频、或数字视频中的一种。
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| CN108427546B (zh) * | 2018-05-03 | 2022-03-08 | 深圳Tcl新技术有限公司 | 显示装置的全屏幕适配方法、显示装置及存储介质 |
| CN110475117B (zh) * | 2019-09-26 | 2022-03-29 | 北京迈格威科技有限公司 | 图像压缩的方法、装置、电子设备和计算机存储介质 |
| CN114219730A (zh) * | 2021-12-14 | 2022-03-22 | 深圳Tcl新技术有限公司 | 用户界面海报图片的处理方法、装置、存储介质及电子设备 |
| CN115834926B (zh) * | 2022-11-21 | 2023-11-21 | 深圳市超时代软件有限公司 | 基于h.265熵编码二值化的视频加密方法 |
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