CN108810649B - Image quality adjusting method, intelligent television and storage medium - Google Patents
Image quality adjusting method, intelligent television and storage medium Download PDFInfo
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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
- H04N21/47—End-user applications
- H04N21/485—End-user interface for client configuration
- H04N21/4852—End-user interface for client configuration for modifying audio parameters, e.g. switching between mono and stereo
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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
- H04N21/431—Generation of visual interfaces for content selection or interaction; Content or additional data rendering
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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
- H04N21/44008—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 operations for analysing video streams, e.g. detecting features or characteristics in the video stream
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
- H04N5/765—Interface circuits between an apparatus for recording and another apparatus
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Abstract
The invention discloses a picture quality adjusting method, which comprises the following steps: identifying an input channel of a current chip source signal, and acquiring the resolution and frame rate of the chip source signal; acquiring image quality adjusting parameters corresponding to the input channel, the resolution and the frame rate from a preset mapping relation table; adjusting the image signal corresponding to the film source signal based on the image quality adjusting parameter; and outputting the image signal to a display screen for displaying. The invention also discloses the intelligent television and a computer readable storage medium. The invention can achieve better visual effect when the television plays the film source contents with different formats.
Description
Technical Field
The invention relates to the technical field of televisions, in particular to a picture quality adjusting method, an intelligent television and a computer readable storage medium.
Background
The playing content of the current television set focuses more on the improvement of experience, and comprises two basic functions of sound quality and image quality. In order to achieve a good image quality effect and further bring better visual experience to users, the television needs to perform image quality debugging before leaving the factory, wherein the image quality debugging comprises various factors such as white balance, contrast, brightness, definition, color and the like. Because of mutual conflict among the above elements, the current common method for television sets is to compromise the above elements, but in each market, because the formats of video film sources are also different, it is difficult to realize that all film sources have a good display effect through a set of fixed parameters.
Disclosure of Invention
The invention mainly aims to provide a picture quality adjusting method, an intelligent television and a computer readable storage medium, and aims to solve the technical problem of how to adapt the television to various different film sources and keep the picture quality effect.
In order to achieve the above object, the present invention provides an image quality adjusting method, comprising:
identifying an input channel of a current chip source signal, and acquiring the resolution and frame rate of the chip source signal;
acquiring image quality adjusting parameters corresponding to the input channel, the resolution and the frame rate from a preset mapping relation table;
adjusting the image signal corresponding to the film source signal based on the image quality adjusting parameter;
and outputting the image signal to a display screen for displaying.
Optionally, before the step of outputting the image signal to a display screen for displaying, the image quality adjustment method further includes:
identifying whether the currently played content belongs to a specific scene;
and if so, performing image quality adjustment on the image signal based on an image quality adjustment mode corresponding to the specific scene.
Optionally, the identifying whether the currently played content belongs to a specific scene includes:
if the input channel is a digital channel, acquiring program menu EPG information corresponding to the currently played content;
determining the current playing content according to the keywords of the program information in the EPG information;
and identifying whether the current playing content belongs to the specific scene or not based on the corresponding relation between the preset playing content and the specific scene.
Optionally, the identifying whether the currently played content belongs to a specific scene includes:
if the input channel is an HDMI channel or a USB channel, capturing image information of continuous multi-frame image signals;
extracting the same characteristic image in the image information of each frame of image signal;
judging whether the position change of the characteristic image in the two or more frames of image signals in the preset time exceeds a preset distance threshold value or not;
if so, determining that the current playing content is a strong moving picture, otherwise, determining that the current playing content is a weak moving picture;
and identifying whether the current playing content belongs to the specific scene or not based on the corresponding relation between the preset playing content and the specific scene.
Optionally, before the step of outputting the image signal to a display screen for displaying, the image quality adjustment method further includes:
identifying whether the current playing content conforms to a preset video model;
and if so, performing image quality adjustment on the image signal based on an image quality adjustment mode corresponding to the video model.
Optionally, the identifying whether the currently played content conforms to a preset video model includes:
if the input channel is a digital channel, acquiring program menu EPG information corresponding to the currently played content; judging whether a keyword set of a preset video model contains keywords of the program information in the EPG information; if yes, identifying that the current playing content is consistent with the video model; or
If the input channel is a digital channel, performing voice recognition on the audio signal of the currently played content to obtain the text content corresponding to the audio signal; judging whether a keyword set of a preset video model contains the text content; and if so, identifying that the currently played content conforms to the video model.
Optionally, the identifying whether the currently played content conforms to a preset video model includes:
if the input channel is an HDMI channel or a USB channel, caching the currently played content;
comparing the image information of the current playing content with the image information of a preset video model;
and if the image characteristics are matched, identifying that the currently played content is consistent with the video model.
Optionally, the image quality adjustment manner includes one or more of the following:
A. adjusting a motion compensated MEMC function;
B. adjusting image quality adjustment parameters, wherein the image quality adjustment parameters comprise: one or more of color, sharpness, brightness, saturation, contrast, and noise reduction;
C. and adjusting the image quality adjusting algorithm.
Further, to achieve the above object, the present invention further provides an intelligent television, including a memory, a processor, and a picture quality adjusting program stored in the memory and executable on the processor, wherein the picture quality adjusting program, when executed by the processor, implements the steps of the picture quality adjusting method as described in any one of the above.
Further, to achieve the above object, the present invention also provides a computer readable storage medium, wherein a picture quality adjusting program is stored on the computer readable storage medium, and when being executed by a processor, the picture quality adjusting program implements the steps of the picture quality adjusting method according to any one of the above items.
The method comprises the steps that the mapping relation between the film source characteristics and image quality adjustment parameters is preset, when a user switches film sources or a playing channel, an input channel of a current film source signal is identified, and the resolution and the frame rate of the film source signal are obtained; then, acquiring image quality adjusting parameters corresponding to an input channel, a resolution and a frame rate from a preset mapping relation table, and adjusting an image signal corresponding to a film source signal based on the acquired image quality adjusting parameters; and finally, outputting the image signal to a display screen for displaying. The invention adjusts the picture display effect by adopting the picture quality adjusting parameter corresponding to the film source format based on the film source format, thereby ensuring that the television can achieve better visual effect when playing the film source contents with different formats.
Drawings
Fig. 1 is a schematic structural diagram of a hardware operating environment of a device according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a first embodiment of a method for adjusting image quality according to the present invention;
FIG. 3 is a flowchart illustrating a second embodiment of a method for adjusting image quality according to the present invention;
FIG. 4 is a schematic diagram illustrating a detailed flow of the step S50 in FIG. 3;
FIG. 5 is a schematic diagram illustrating a detailed flow of another embodiment of step S50 in FIG. 3;
fig. 6 is a flowchart illustrating a third embodiment of a method for adjusting image quality according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides an intelligent television.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a hardware operating environment of a device according to an embodiment of the present invention.
As shown in fig. 1, the smart tv set may include: processor 1001, e.g., a CPU, and processor 1001 are preferably System-on-a-chips (SOC-chips), which are referred to as System-on-chips, also referred to as systems-on-chips, which are an integrated circuit with a dedicated target that contains the complete System and has the entire contents of embedded software.
In addition, the smart television set may further include: a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a memory device separate from the processor 1001 described above. It should be noted that the processor 1001 is installed in the smart tv by using an embedded chip.
Those skilled in the art will appreciate that the hardware configuration of the smart tv set shown in fig. 1 does not constitute a limitation of the smart tv set, and may include more or less components than those shown, or combine some components, or arrange different components.
As shown in fig. 1, a memory 1005, which is a computer-readable storage medium, may include an operating system, a network communication module, a user interface module, and a picture quality adjustment program therein. The operating system is a program for managing and controlling the intelligent television and software resources and supports the operation of a network communication module, a user interface module, a picture quality adjusting program and other programs or software; the network communication module is used to manage and control the network interface 1004; the user interface module is used to manage and control the user interface 1003.
In the hardware structure of the smart television shown in fig. 1, the network interface 1004 is mainly used for connecting to a system background and performing data communication with the system background; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; the smart tv calls the picture quality adjustment program stored in the memory 1005 through the processor 1001, and performs the following operations:
identifying an input channel of a current chip source signal, and acquiring the resolution and frame rate of the chip source signal;
acquiring image quality adjusting parameters corresponding to the input channel, the resolution and the frame rate from a preset mapping relation table;
adjusting the image signal corresponding to the film source signal based on the image quality adjusting parameter;
and outputting the image signal to a display screen for displaying.
Further, the smart tv calls the picture quality adjustment program stored in the memory 1005 by the processor 1001 to further perform the following operations:
identifying whether the currently played content belongs to a specific scene;
and if so, performing image quality adjustment on the image signal based on an image quality adjustment mode corresponding to the specific scene.
Further, the smart tv calls the picture quality adjustment program stored in the memory 1005 by the processor 1001 to further perform the following operations:
if the input channel is a digital channel, acquiring program menu EPG information corresponding to the currently played content;
determining the current playing content according to the keywords of the program information in the EPG information;
and identifying whether the current playing content belongs to the specific scene or not based on the corresponding relation between the preset playing content and the specific scene.
Further, the smart tv calls the picture quality adjustment program stored in the memory 1005 by the processor 1001 to further perform the following operations:
if the input channel is an HDMI channel or a USB channel, capturing image information of continuous multi-frame image signals;
extracting the same characteristic image in the image information of each frame of image signal;
judging whether the position change of the characteristic image in the two or more frames of image signals in the preset time exceeds a preset distance threshold value or not;
if so, determining that the current playing content is a strong moving picture, otherwise, determining that the current playing content is a weak moving picture;
and identifying whether the current playing content belongs to the specific scene or not based on the corresponding relation between the preset playing content and the specific scene.
Further, the smart tv calls the picture quality adjustment program stored in the memory 1005 by the processor 1001 to further perform the following operations:
identifying whether the current playing content conforms to a preset video model;
and if so, performing image quality adjustment on the image signal based on an image quality adjustment mode corresponding to the video model.
Further, the smart tv calls the picture quality adjustment program stored in the memory 1005 by the processor 1001 to further perform the following operations:
if the input channel is a digital channel, acquiring program menu EPG information corresponding to the currently played content; judging whether a keyword set of a preset video model contains keywords of the program information in the EPG information; if yes, identifying that the current playing content is consistent with the video model; or
If the input channel is a digital channel, performing voice recognition on the audio signal of the currently played content to obtain the text content corresponding to the audio signal; judging whether a keyword set of a preset video model contains the text content; and if so, identifying that the currently played content conforms to the video model.
Further, the smart tv calls the picture quality adjustment program stored in the memory 1005 by the processor 1001 to further perform the following operations:
if the input channel is an HDMI channel or a USB channel, caching the currently played content;
comparing the image information of the current playing content with the image information of a preset video model;
and if the image characteristics are matched, identifying that the currently played content is consistent with the video model.
Based on the device hardware operating environment related to the above-mentioned embodiment of the smart television of the present invention, the following embodiments of the image quality adjusting method of the present invention are provided.
Referring to fig. 2, fig. 2 is a flowchart illustrating a first embodiment of the image quality adjusting method according to the present invention. In this embodiment, the image quality adjusting method includes the following steps:
step S10, recognizing the input channel of the current film source signal, and acquiring the resolution and frame rate of the film source signal;
generally, a television set supports multiple signal channels, such as a digital television channel, an external video channel, an HDMI channel, or a USB channel. In this embodiment, preferably, when a user switches signal channels, the switched signal channels are used as input channels of the current chip source signals; or defaulting the channel used at this time to be the input channel of the current chip source signal when starting up.
Furthermore, the resolution and frame rate formats of different film sources may be different, such as 720P, 24Hz, 1080P, 60 Hz. In this embodiment, the resolution is preferably obtained by a format characteristic value of the film source, and the frame rate information is preferably obtained according to a frame rate value of the film source.
Step S20, obtaining image quality adjustment parameters corresponding to the input channel, the resolution, and the frame rate from a preset mapping table;
in this embodiment, in order to ensure the display effect of the film source under each frame rate and each format of each channel, the mapping relationship between the characteristics of the film source and the image quality adjustment parameters is preset, and the specific setting process is as follows:
when a television is comprehensively tested, firstly, the supported film source signals are respectively input to each channel according to the resolution and the frame rate of the film source signals supported by each channel, and then parameter debugging and correction are carried out on the display effect until a better basic display effect is ensured; and then recording parameter values debugged by each channel into a table or a related adjusting file of software, generating binary data and writing the binary data into a mapping relation table, wherein the data in the mapping relation table can ensure the basic display effect of the film sources with different formats under different channels.
TABLE 1
| VIP_IBC | VIP_IBC_SET | VIP_ICC | VIP_ICC_SET | |
| HDMI_720p_24hz | ON | IBC_1 | ON | ICC_1 |
| HDMI_720p_50hz | ON | IBC_2 | ON | ICC_2 |
| HDMI_720p_60hz | ON | IBC_3 | ON | ICC_3 |
| HDMI_1080P 50hz | ON | IBC_4 | ON | ICC_4 |
| HDMI_1080i_60hz | ON | IBC_5 | ON | ICC_5 |
| 4K2K_30Hz | ON | IBC_10 | ON | ICC_10 |
| MM_4K2K | ON | IBC_11 | ON | ICC_11 |
| MM_non_4K2K | ON | IBC_12 | ON | ICC_12 |
As shown in table 1, the ordinate represents the channel and the film source format corresponding to the channel, the abscissa represents the function call name of the parameter affecting the image quality, and the function call name corresponds to the calculation formula (or value) of the parameter value, and table 1 only lists the partial film source format and the partial image quality adjustment parameter of the partial channel. For other image quality adjusting parameters, for example, adjusting the brightness mode by backlight, white balance, etc., corresponding image quality adjusting algorithms are designed separately.
As shown in table 1, HDMI _720P _24Hz represents the case of a slice source with HDMI channel as the input channel and 720P, 24Hz frame rate, 4K2K _30Hz represents the case of a slice source with 4K2K, 30Hz frame rate as the input signal, and since only HDMI and multimedia interface (such as USB) are currently available for transmitting 4K2K _30Hz, it can represent the case of 4K2K _60Hz as the input signal source under HDMI channel or USB channel. MM _4K2K represents the case where the input channel is a multimedia channel, a slice source of 4K2K, and MM _ non _4K2K represents the case where the input channel is a multimedia channel, a slice source other than 4K 2K.
The horizontal coordinate VIP _ IBC is a color brightness control switch, when the following value is ON, the color brightness under the condition of the channel film source is controlled by the association table, VIP _ IBC _ SET is a value corresponding to the color brightness control under each format film source of each channel, and when the value is OFF, a default value is used for processing;
the VIP _ ICC is a color saturation control switch, when the following value is ON, the color saturation under the condition of the channel chip source is controlled by the association table, the VIP _ ICC _ SET is a value corresponding to the color saturation control under each format chip source of each channel, and when the value is OFF, the VIP _ ICC _ SET is processed by using a default value;
correspondingly, each of the VIP _ IBC _ SET and the VIP _ ICC _ SET has a corresponding secondary table, which indicates the corresponding values IBC _1 and IBC _2.
It should be further noted that, for ease of understanding and simplifying the description, only part of the channels, the film source format, and the control correspondence relationship between the image quality adjustment parameters are listed in table 1.
Step S30, adjusting the image signal corresponding to the film source signal based on the image quality adjusting parameter;
and step S40, outputting the image signal to a display screen for displaying.
In this embodiment, after the input channel, the resolution, and the frame rate of the signal source are obtained through identification, an adjustment algorithm or a value of a corresponding image quality adjustment parameter may be obtained through a mapping relationship in the table, then, based on the obtained image quality adjustment parameter, an image signal output after the image processing is performed on the film source signal is adjusted, such as adjusting brightness, saturation, and the like, and finally, the adjusted image signal is output to a display screen for display.
In the embodiment, a mapping relation between the film source characteristics and the image quality adjustment parameters is preset, when a user switches a film source or a playing channel, an input channel of a current film source signal is identified first, and the resolution and the frame rate of the film source signal are obtained; then, acquiring image quality adjusting parameters corresponding to an input channel, a resolution and a frame rate from a preset mapping relation table, and adjusting an image signal corresponding to a film source signal based on the acquired image quality adjusting parameters; and finally, outputting the image signal to a display screen for displaying. The picture display effect is adjusted by adopting the picture quality adjusting parameters corresponding to the film source format based on the film source format, so that a better visual effect can be achieved when the television plays the film source contents in different formats.
Referring to fig. 3, fig. 3 is a flowchart illustrating a second embodiment of the image quality adjusting method according to the present invention. Based on the first embodiment, in this embodiment, to further improve the image quality display effect, before the step S40, the image quality adjusting method further includes:
step S50, identifying whether the currently played content belongs to a specific scene;
in step S60, if yes, the image signal is subjected to image quality adjustment based on the image quality adjustment mode corresponding to the specific scene.
The embodiment further adjusts the image quality based on the playing content, specifically, it is first identified whether the playing content belongs to a specific scene, such as a ball game scene, a movie scene, etc., and then performs image quality adjustment on the current image signal based on a mapping relationship between a preset specific scene and an image quality adjustment mode.
Optionally, the image quality adjustment manner includes one or more of the following:
A. adjusting a motion compensated MEMC function;
B. adjusting image quality adjustment parameters, wherein the image quality adjustment parameters comprise: one or more of color, sharpness, brightness, saturation, contrast, and noise reduction;
C. and adjusting the image quality adjusting algorithm.
For example, when it is detected that the dynamic picture is strong and the green color is more when the current ball game is played, the motion compensation MEMC function is turned on, and the color, saturation, brightness, etc. of the green color in the picture are enhanced.
The image quality adjustment in the embodiment can adapt to different film source formats and input channels, and can also adapt to different film source contents, so that a better image quality display effect can be realized.
Referring to fig. 4, fig. 4 is a schematic view of a detailed flow of the step S50 in fig. 3. Based on the foregoing embodiment, in this embodiment, the foregoing step S50 further includes:
step S501, if the input channel is a digital channel, acquiring program menu EPG information corresponding to the currently played content;
step S502, determining the current playing content according to the keywords of the program information in the EPG information;
step S503, based on the preset corresponding relationship between the playing content and the specific scene, identifying whether the current playing content belongs to the specific scene.
Different chip source signal input channels correspond to different identification modes. In this embodiment, if the input channel of the film source is a digital channel, that is, a digital television program, the program menu EPG information corresponding to the currently played content is obtained, and the currently played content is determined according to the keyword of the program information in the EPG information. The specific scene is a playing scene with a high requirement on image quality for a user, such as a ball game scene, a movie scene, and the like.
For example, the currently played content is determined based on the program name and the playing time. For example, if it is determined that a ping-pong game is played at the current time according to the keywords of the program information in the EPG information, the MEMC function is enhanced, and if a football game is played, the color, saturation and brightness of the MEMC and the green area in the picture are enhanced.
After the current playing content is determined, whether the current playing content belongs to the specific scene is identified based on the corresponding relation between the preset playing content and the specific scene, and if the current playing content belongs to the specific scene, the image quality of the image signal is adjusted based on the image quality adjusting mode corresponding to the specific scene. Such as adjusting the motion compensated MEMC function or adjusting color, sharpness, brightness, saturation, contrast, etc.
Referring to fig. 5, fig. 5 is a schematic view of a detailed flow of another embodiment of step S50 in fig. 3. Based on the foregoing embodiment, in this embodiment, the foregoing step S50 further includes:
step S504, if the input channel is an HDMI channel or a USB channel, capturing image information of continuous multi-frame image signals;
step S505, extracting the same characteristic image in the image information of each frame of image signal;
step S506, judging whether the position change of the characteristic image in the two or more frames of image signals in the preset time exceeds a preset distance threshold value;
step S507, if yes, the current playing content is determined to be a strong motion picture, otherwise, the current playing content is determined to be a weak motion picture;
step S508, based on the preset corresponding relationship between the playing content and the specific scene, identifies whether the current playing content belongs to the specific scene.
In this embodiment, if the signal source is an HDMI channel or a multimedia channel, image information between frames is captured first, the image information is compared, preferably, the same feature images are captured, and a certain distance threshold is set, when the position between two or more frames of the same feature images is greater than the distance threshold within a certain time, the motion of the played dynamic picture is considered to be strong, at this time, the MEMC function is turned on or enhanced (the MEMC function may be set to a weak level, a medium level, and a strong level), when the position between two or more frames of the same feature images is less than the distance threshold within a certain time, the motion of the played dynamic picture is considered to be weak, at this time, the MEMC function is turned off or weakened, and then the picture display effect can be in the best state according to the characteristics of different picture sources.
In this embodiment, after the current playing content is determined, whether the current playing content belongs to a specific scene is identified based on a preset corresponding relationship between the playing content and the specific scene, and if the current playing content belongs to the specific scene, the image quality of the image signal is adjusted based on an image quality adjusting mode corresponding to the specific scene. Such as adjusting the motion compensated MEMC function or adjusting color, sharpness, brightness, saturation, contrast, etc.
Referring to fig. 6, fig. 6 is a flowchart illustrating a third embodiment of the image quality adjustment method according to the present invention. Based on the first embodiment, in this embodiment, to further improve the image quality display effect, before the step S40, the image quality adjusting method further includes:
step S70, identifying whether the current playing content is consistent with the preset video model;
in step S80, if yes, the image quality of the image signal is adjusted based on the image quality adjustment method corresponding to the video model.
To ensure the picture display effect of color, definition and the like under a specific scene. Therefore, the present embodiment models a plurality of video scenes preferred by the user, and adjusts the display according to the corresponding modeling specification. Such as a ball game model, a movie model, a sports model, etc., the image quality adjustment modes corresponding to different video scenes may be the same or different.
Optionally, the image quality adjustment method corresponding to the video model includes one or more of the following:
A. adjusting a motion compensated MEMC function;
B. adjusting image quality adjustment parameters, wherein the image quality adjustment parameters comprise: one or more of color, sharpness, brightness, saturation, contrast, and noise reduction;
C. and adjusting the image quality adjusting algorithm.
For example, when the video model is identified as a ball game model, the motion compensation MEMC function is turned on, and the color, saturation, brightness, and the like of green in the screen are enhanced.
It should be noted that the above contents are just examples for describing the present screen, and should not be construed as limiting the present invention. In addition, each video model can correspond to a plurality of image quality adjusting modes, such as a ball game model, and the MEMC function, the color adjustment and the definition adjustment can be adjusted; the sky model may adjust regional dimming algorithms, colors, etc.
It should be further noted that the comparison relationship between the video model and the image quality adjustment mode refers to the corresponding relationship between each of the slice source formats and the frame rate signals in each of the channels, that is, the frame rate signals in each of the formats in each of the channels have the above comparison relationship. That is, although there is a correlation between the states, the image quality adjustment methods may be the same or different for two or more states.
For example, when the video model is involved and the definition needs to be adjusted, the slice source with the frame rate of 1080P _30Hz is under the USB channel or the HDMI channel, the maximum range of the offset to be adjusted under the USB channel is ± 3, and the maximum range of the offset to be adjusted under the HDMI channel is ± 5.
Further, in an embodiment of the present invention, a specific manner of identifying whether the currently played content conforms to the preset video model includes:
the first method is as follows: EPG information based identification
1.1, if the input channel is a digital channel, acquiring program menu EPG information corresponding to the currently played content;
1.2, judging whether a keyword set of a preset video model contains keywords of program information in EPG information or not;
and 1.3, if so, identifying that the currently played content conforms to the video model.
In this way, different sets of keywords are stored in different video models, for example, keywords related to a ball game, such as a table tennis, a soccer, a match, and the like, are stored in the ball game model, and if the keywords in the ball game model exist in the acquired program information of the EPG, it is recognized that the currently played content matches the ball game model.
The second method comprises the following steps: audio signal based identification
2.1, if the input channel is a digital channel, carrying out voice recognition on the audio signal of the currently played content to obtain the text content corresponding to the audio signal;
2.2, judging whether a keyword set of a preset video model contains character contents or not;
and 2.3, if so, identifying that the currently played content conforms to the video model.
In this way, the audio signal of the currently played content is subjected to speech recognition, so that the text content corresponding to the audio signal is obtained. Such as dialogue, background sound, etc., if the text content contains keywords in the video model, such as football, gate, pass, etc., it can be determined that the currently played content matches the ball game model.
The third method comprises the following steps: image feature based recognition
3.1, if the input channel is an HDMI channel or a USB channel, caching the currently played content;
3.2, comparing the image information of the current playing content with the image information of a preset video model;
and 3.3, if the image characteristics are matched, identifying that the currently played content is consistent with the video model.
In this way, if the input channel is an HDMI channel or a USB channel, the currently played content is cached, then the image information of the currently played content is compared with the image information of the plurality of video models respectively for image features, and if the image features are matched, that is, the comparison is successful, the currently played content is identified to be in accordance with the video model.
For example, if the broadcast content includes vegetation, sky, etc., and the natural model includes image information of vegetation and sky, it is recognized that the current broadcast content matches the natural model.
In this embodiment, after the video model corresponding to the currently played content is identified, the image quality of the image signal is adjusted based on the image quality adjustment mode corresponding to the video model. Such as adjusting the motion compensated MEMC function or adjusting color, sharpness, brightness, saturation, contrast, etc.
The invention also provides a computer readable storage medium.
In this embodiment, a computer readable storage medium stores a picture quality adjustment program, and the picture quality adjustment program, when executed by a processor, implements the steps of the picture quality adjustment method described in any one of the above embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM), and includes instructions for enabling a terminal (e.g., a smart tv, a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The present invention is described in connection with the accompanying drawings, but the present invention is not limited to the above embodiments, which are only illustrative and not restrictive, and those skilled in the art can make various changes without departing from the spirit and scope of the invention as defined by the appended claims, and all changes that come within the meaning and range of equivalency of the specification and drawings that are obvious from the description and the attached claims are intended to be embraced therein.
Claims (8)
1. An image quality adjusting method is characterized by comprising the following steps:
identifying an input channel of a current chip source signal, and acquiring the resolution and frame rate of the chip source signal;
acquiring a first image quality adjusting parameter corresponding to the input channel, the resolution and the frame rate from a preset mapping relation table;
adjusting the image signal corresponding to the film source signal based on the first image quality adjusting parameter to obtain a first image signal;
determining a playing content identification mode corresponding to the input channel so as to identify the current playing content of the film source signal according to the playing content identification mode;
determining a model identification mode corresponding to the input channel so as to identify a video model conforming to the currently played content according to the model identification mode;
acquiring an image quality adjusting mode corresponding to the video model;
adjusting the first image signal based on the image quality adjusting mode to obtain a second image signal;
and outputting the second image signal to a display screen for displaying.
2. The method of claim 1, wherein the determining a playback content recognition method corresponding to the input channel to recognize the current playback content of the film source signal according to the playback content recognition method comprises:
if the input channel is a digital channel, acquiring program menu EPG information corresponding to the currently played content;
and determining the current playing content according to the keywords of the program information in the EPG information.
3. The method of claim 1, wherein the determining a playback content recognition method corresponding to the input channel to recognize the current playback content of the film source signal according to the playback content recognition method comprises:
if the input channel is an HDMI channel or a USB channel, capturing image information of continuous multi-frame image signals;
extracting the same characteristic image in the image information of each frame of image signal;
judging whether the position change of the characteristic image in the two or more frames of image signals in the preset time exceeds a preset distance threshold value or not;
if so, determining that the current playing content is a strong moving picture, otherwise, determining that the current playing content is a weak moving picture.
4. The image quality adjustment method according to claim 1, wherein the determining a model identification manner corresponding to the input channel to identify the video model corresponding to the currently played content according to the model identification manner comprises:
if the input channel is a digital channel, acquiring program menu EPG information corresponding to the currently played content; judging whether a keyword set of a preset video model contains keywords of the program information in the EPG information; if yes, identifying that the current playing content is consistent with the video model; or
If the input channel is a digital channel, performing voice recognition on the audio signal of the currently played content to obtain the text content corresponding to the audio signal; judging whether a keyword set of a preset video model contains the text content; and if so, identifying that the currently played content conforms to the video model.
5. The image quality adjustment method according to claim 1, wherein the determining a model identification manner corresponding to the input channel to identify the video model corresponding to the currently played content according to the model identification manner comprises:
if the input channel is an HDMI channel or a USB channel, caching the currently played content;
comparing the image information of the current playing content with the image information of a preset video model;
and if the image characteristics are matched, identifying that the currently played content is consistent with the video model.
6. The image quality adjustment method according to any one of claims 1 to 5, wherein the image quality adjustment method comprises one or more of the following:
A. adjusting a motion compensated MEMC function;
B. adjusting image quality adjustment parameters, wherein the image quality adjustment parameters comprise: one or more of color, sharpness, brightness, saturation, contrast, and noise reduction;
C. and adjusting the image quality adjusting algorithm.
7. An intelligent television, comprising a memory, a processor, and a picture quality adjustment program stored on the memory and executable on the processor, wherein the picture quality adjustment program, when executed by the processor, implements the steps of the picture quality adjustment method of any one of claims 1-6.
8. A computer-readable storage medium having stored thereon a picture quality adjustment program, which when executed by a processor implements the steps of the picture quality adjustment method according to any one of claims 1-6.
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