CN112383818A - Intelligent television system and intelligent control method thereof - Google Patents

Intelligent television system and intelligent control method thereof Download PDF

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Publication number
CN112383818A
CN112383818A CN202110032350.6A CN202110032350A CN112383818A CN 112383818 A CN112383818 A CN 112383818A CN 202110032350 A CN202110032350 A CN 202110032350A CN 112383818 A CN112383818 A CN 112383818A
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image
value
module
brightness
pixel matrix
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李凤娟
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Invention House Beijing Technology Co ltd
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Invention House Beijing Technology Co ltd
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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
    • H04N21/439—Processing of audio elementary streams
    • 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

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)

Abstract

The invention provides an intelligent television system and a control method, wherein a video acquisition module is used for acquiring playing content information and sending the video playing content to an image processing module; the image processing module is used for carrying out image enhancement on the collected video playing content data and sending the enhanced video playing content to the image display module; the image display module is used for playing the video playing content acquired by the video acquisition module; the sound module is used for being matched with the image display module and playing the sound of the video playing content; the noise monitoring module is used for monitoring environmental noise and transmitting a monitored environmental noise value to the first control module; the first control module is used for receiving the detected environmental noise value, comparing the detected environmental noise value with a set noise threshold value, and controlling the sound module to adjust the playing volume according to the comparison result, so that the image brightness and the sound size can be automatically adjusted according to the change of the environment, the audio-visual experience of a user can be improved, and the user operation is simplified.

Description

Intelligent television system and intelligent control method thereof
Technical Field
The invention relates to the technical field of intelligent televisions, in particular to an intelligent television system and an intelligent control method thereof.
Background
The smart television is a new product formed based on internet wave impact, aims to bring more convenient experience to users, is a trend of televisions at present, breaks through the constraint of a remote controller on the traditional television, realizes four functions of taking away, classified viewing, multi-screen viewing and viewing at any time, and promotes the development of the smart television. The intelligent television is a new television product which is provided with a full-open platform, carries an operating system, and can automatically install and uninstall various application software and continuously expand and upgrade functions while users enjoy common television contents.
The functions of the existing smart television are continuously increased, and the existing smart television does not have the function of automatically adjusting the playing volume or the image brightness.
Disclosure of Invention
In order to solve the above problems, the present invention provides an intelligent television system and an intelligent control method thereof, wherein the system comprises: the intelligent remote controller is used for acquiring the control information of a user and sending the control information to the video acquisition module;
the video acquisition module is used for acquiring playing content information and sending the control information of the user and the video playing content to the image processing module;
the image processing module is used for carrying out image enhancement on the video playing content data acquired by the video acquisition module and sending the enhanced video playing content to the image display module;
the image display module is used for playing the video playing content acquired by the video acquisition module;
the sound module is used for being matched with the image display module and playing the sound of the video playing content;
the noise monitoring module is used for monitoring environmental noise and transmitting a monitored environmental noise value to the first control module;
and the first control module is used for receiving the environmental noise value detected by the noise monitoring module, comparing the received environmental noise value with a set noise threshold value, and controlling the sound module to adjust the playing volume according to the comparison result.
Further, the image processing module performs image enhancement on the video playing content data acquired by the video acquisition module, and the specific steps of the image processing module are as follows:
step A1, reading image by frame for video playing content collected by video collecting module, converting image information of the image into one
Figure 850348DEST_PATH_IMAGE001
Pixel point image pixel matrix
Figure 565363DEST_PATH_IMAGE002
Wherein
Figure 200743DEST_PATH_IMAGE001
Representing said image
Figure 825760DEST_PATH_IMAGE003
A pixel point, the image pixel matrix
Figure 216290DEST_PATH_IMAGE004
Is composed of
Figure 293967DEST_PATH_IMAGE005
Line of
Figure 529777DEST_PATH_IMAGE006
Columns, the image pixel matrix
Figure 9299DEST_PATH_IMAGE004
The value of each position represents the value of the pixel point corresponding to the position, and the value of the pixel point contains
Figure 242835DEST_PATH_IMAGE007
The set of values of the three channels, and the following formula is used to obtain the
Figure 932442DEST_PATH_IMAGE008
Optimization coefficients for three channels:
Figure DEST_PATH_IMAGE009
Figure 706363DEST_PATH_IMAGE010
Figure 774813DEST_PATH_IMAGE011
wherein the content of the first and second substances,
Figure 507146DEST_PATH_IMAGE012
representative image pixel matrix
Figure 559415DEST_PATH_IMAGE013
To (1) a
Figure 340290DEST_PATH_IMAGE014
A channel and the second
Figure 653459DEST_PATH_IMAGE015
The degree of interchangeability between the individual channels,
Figure 432059DEST_PATH_IMAGE016
representative image pixel matrix
Figure 830680DEST_PATH_IMAGE004
To (1) a
Figure 352928DEST_PATH_IMAGE017
To a position of
Figure 786183DEST_PATH_IMAGE014
The value of each of the channels is,
Figure 735685DEST_PATH_IMAGE018
represents
Figure 559284DEST_PATH_IMAGE017
Is taken as an image pixel matrix
Figure 744278DEST_PATH_IMAGE004
All of the positions of (a) and (b),
Figure 641827DEST_PATH_IMAGE019
representative image pixel matrix
Figure 418022DEST_PATH_IMAGE004
To (1) a
Figure 666601DEST_PATH_IMAGE020
The mean value of the individual channels is,
Figure DEST_PATH_IMAGE021
rectangle representing image pixels
Figure 858547DEST_PATH_IMAGE004
To (1) a
Figure 266395DEST_PATH_IMAGE017
To a position of
Figure 354437DEST_PATH_IMAGE022
The value of each of the channels is,
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representative image pixel matrix
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To (1) a
Figure 766547DEST_PATH_IMAGE022
The mean value of the individual channels is,
Figure 353386DEST_PATH_IMAGE024
which represents the formed replacement set, is,
Figure 576557DEST_PATH_IMAGE025
respectively represent
Figure 579148DEST_PATH_IMAGE012
In
Figure 696009DEST_PATH_IMAGE014
Take values in turn of
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，
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Take values in turn of
Figure DEST_PATH_IMAGE027
The value of (c) time of day,
Figure 173760DEST_PATH_IMAGE028
respectively representing image pixel matrices
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In
Figure 745873DEST_PATH_IMAGE030
The importance of the information of the three channels,
Figure 943636DEST_PATH_IMAGE031
representing alternative collections
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To middle
Figure 317166DEST_PATH_IMAGE034
The value of the one or more of,
Figure 682288DEST_PATH_IMAGE035
representative image pixel matrix
Figure 898506DEST_PATH_IMAGE004
To middle
Figure 249853DEST_PATH_IMAGE014
The optimization coefficients of the individual channels are,
Figure 930233DEST_PATH_IMAGE036
which represents the sum of the values of the first and second,
Figure 341622DEST_PATH_IMAGE037
represents the calculation of the minimum value,
Figure 45136DEST_PATH_IMAGE038
are all desirable
Figure 59229DEST_PATH_IMAGE039
Three channels;
step A2, using the following formula to matrix the image pixels
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Of each position
Figure 441985DEST_PATH_IMAGE039
The values of the three channels are converted into comprehensive values, so that a comprehensive image pixel matrix is obtained
Figure 836058DEST_PATH_IMAGE040
：
Figure 325945DEST_PATH_IMAGE041
Wherein the content of the first and second substances,
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representing a matrix of synthetic image pixels
Figure 468530DEST_PATH_IMAGE040
To (1) a
Figure 474532DEST_PATH_IMAGE017
The integrated value of the individual positions is,
Figure 768111DEST_PATH_IMAGE043
representative image pixel matrix
Figure 152955DEST_PATH_IMAGE004
To middle
Figure 936104DEST_PATH_IMAGE044
The optimization coefficients of the individual channels are,
Figure 101506DEST_PATH_IMAGE045
representative image pixel matrix
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To middle
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The optimization coefficients of the individual channels are,
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representative image pixel matrix
Figure 861017DEST_PATH_IMAGE004
To middle
Figure 841612DEST_PATH_IMAGE006
The optimization coefficients of the individual channels are,
Figure 414675DEST_PATH_IMAGE048
image pixel matrix
Figure 898746DEST_PATH_IMAGE004
To (1) a
Figure 164643DEST_PATH_IMAGE050
To a position of
Figure 39058DEST_PATH_IMAGE044
The value of the channel is such that,
Figure 806026DEST_PATH_IMAGE051
image pixel matrix
Figure 19969DEST_PATH_IMAGE004
To (1) a
Figure 581401DEST_PATH_IMAGE017
To a position of
Figure 943112DEST_PATH_IMAGE046
The value of the channel is such that,
Figure 123557DEST_PATH_IMAGE052
image pixel matrix
Figure 316641DEST_PATH_IMAGE004
To (1) a
Figure 924340DEST_PATH_IMAGE017
To a position of
Figure 101244DEST_PATH_IMAGE006
The value of the channel;
step A3, the integrated image pixel matrix is then
Figure 616539DEST_PATH_IMAGE040
Is divided into
Figure 805074DEST_PATH_IMAGE053
Each square matrix has equal size, and the number of rows and columns of each square matrix is
Figure 708308DEST_PATH_IMAGE054
When dividing, the number of rows or columns of a square matrix is insufficient
Figure 247874DEST_PATH_IMAGE055
For use at night
Figure 566860DEST_PATH_IMAGE056
Fill-in, synthesize the image pixel matrix using the following formula
Figure 115DEST_PATH_IMAGE040
The comprehensive value of the pixel at each position is subjected to resolution information for difference enhancement, so that an image pixel matrix after image enhancement is obtained
Figure 684038DEST_PATH_IMAGE057
：
Figure 569954DEST_PATH_IMAGE058
Wherein the content of the first and second substances,
Figure 692631DEST_PATH_IMAGE059
representing an enhanced image pixel matrix
Figure 855759DEST_PATH_IMAGE057
To (1) a
Figure 835216DEST_PATH_IMAGE017
The value of the individual position is,
Figure 349374DEST_PATH_IMAGE060
representing a matrix of synthetic image pixels
Figure 338059DEST_PATH_IMAGE061
To (1) a
Figure 152431DEST_PATH_IMAGE017
The value of the individual position is,
Figure 443735DEST_PATH_IMAGE062
represents
Figure 304244DEST_PATH_IMAGE063
Taking the value as an image pixel matrix
Figure 768723DEST_PATH_IMAGE040
After cutting
Figure 640864DEST_PATH_IMAGE017
All positions contained in the square matrix of the position, the number of rows and the number of columns of the square matrix are
Figure 227703DEST_PATH_IMAGE054
，
Figure 450874DEST_PATH_IMAGE064
Represents a preset adjustment coefficient, and generally takes the value of
Figure 781361DEST_PATH_IMAGE065
Nearby, the matrix
Figure 570326DEST_PATH_IMAGE066
The corresponding image is the image after the image enhancement, and the enhanced image is integrated to form the enhanced imageAnd playing the content by the video.
Further, the method also comprises the following steps: luminance detection module and second control module, wherein:
the brightness monitoring module is used for monitoring the change of the ambient brightness and transmitting the monitored ambient brightness value to the second control module;
and the second control module is used for receiving the environment brightness value monitored by the brightness monitoring module, comparing the received environment brightness value with the set brightness threshold value, and controlling the image module to adjust the image brightness according to the comparison result.
Further, the specific steps of adjusting the image brightness by the second control module are as follows:
step a1, global brightness enhancement processing is performed on the brightness component of the video playing content by using the following formula:
Figure DEST_PATH_IMAGE067
wherein the content of the first and second substances,
Figure 796908DEST_PATH_IMAGE068
represents the global brightness adjusted brightness function,
Figure 38533DEST_PATH_IMAGE069
represents the coefficient of variation of the Gamma, and represents,
Figure 48078DEST_PATH_IMAGE070
represents the original luminance component of the video playback content,
Figure DEST_PATH_IMAGE071
represents the standard deviation value of a gaussian function,
Figure 488286DEST_PATH_IMAGE072
represents a natural constant of the natural gas,
Figure DEST_PATH_IMAGE073
represents the function of an index, and represents,
Figure 682507DEST_PATH_IMAGE074
coordinates representing image pixel points;
step a2, after performing global brightness enhancement processing on the brightness component of the video playing content, performing saturation enhancement processing according to the following formula:
Figure 880270DEST_PATH_IMAGE075
wherein the content of the first and second substances,
Figure 286981DEST_PATH_IMAGE076
represents the enhanced saturation component and is,
Figure 253800DEST_PATH_IMAGE077
representing the original saturation component of the video playback content,
Figure 25447DEST_PATH_IMAGE078
which is representative of the value of the parameter,
Figure 846859DEST_PATH_IMAGE079
representing the average brightness of the illumination information.
Further, the system also comprises a third control module, which is used for receiving the environment brightness value monitored by the brightness detection module, comparing the received environment brightness value with the set brightness adjustment threshold value, and controlling the sound module to adjust the playing volume according to the comparison result.
An intelligent control method of an intelligent television, the method comprising:
collecting playing content information through a video collecting module, and sending the video playing content to an image processing module;
the image processing module is used for enhancing the image of the video playing content data acquired by the video acquisition module and sending the enhanced video playing content to the image display module;
playing the video playing content acquired by the video acquisition module through the image display module;
the sound module is matched with the image display module and plays the sound of the video playing content;
monitoring environmental noise through a noise monitoring module, and transmitting a monitored environmental noise value to a first control module;
and finally, receiving the environmental noise value detected by the noise monitoring module through the first control module, comparing the received environmental noise value with a set noise threshold value, and controlling the sound module to adjust the playing volume according to the comparison result.
Further, the image enhancement of the video playing content data acquired by the video acquisition module through the image processing module includes:
step A1, reading image by frame for video playing content collected by video collecting module, converting image information of the image into one
Figure 932626DEST_PATH_IMAGE001
Pixel point image pixel matrix
Figure 878586DEST_PATH_IMAGE004
Wherein
Figure 86713DEST_PATH_IMAGE001
Representing said image
Figure 993489DEST_PATH_IMAGE080
A pixel point, the image pixel matrix
Figure 742002DEST_PATH_IMAGE004
Is composed of
Figure 683413DEST_PATH_IMAGE081
Line of
Figure 796863DEST_PATH_IMAGE006
Columns, the image pixel matrix
Figure 315569DEST_PATH_IMAGE004
Each bit ofThe set values all represent the values of the pixel points corresponding to the positions, and the values of the pixel points contain
Figure 743139DEST_PATH_IMAGE082
The set of values of the three channels, and the following formula is used to obtain the
Figure 663691DEST_PATH_IMAGE008
Optimization coefficients for three channels:
Figure 213621DEST_PATH_IMAGE009
Figure 94989DEST_PATH_IMAGE010
Figure 185305DEST_PATH_IMAGE083
wherein the content of the first and second substances,
Figure 835729DEST_PATH_IMAGE012
representative image pixel matrix
Figure 884457DEST_PATH_IMAGE013
To (1) a
Figure 49859DEST_PATH_IMAGE014
A channel and the second
Figure 84811DEST_PATH_IMAGE084
The degree of interchangeability between the individual channels,
Figure 448796DEST_PATH_IMAGE016
representative image pixel matrix
Figure 543791DEST_PATH_IMAGE004
To (1) a
Figure 196489DEST_PATH_IMAGE017
To a position of
Figure 894187DEST_PATH_IMAGE014
The value of each of the channels is,
Figure 253624DEST_PATH_IMAGE085
represents
Figure 644154DEST_PATH_IMAGE017
Is taken as an image pixel matrix
Figure 721831DEST_PATH_IMAGE004
All of the positions of (a) and (b),
Figure 160903DEST_PATH_IMAGE019
representative image pixel matrix
Figure 765060DEST_PATH_IMAGE004
To (1) a
Figure 936278DEST_PATH_IMAGE014
The mean value of the individual channels is,
Figure 625885DEST_PATH_IMAGE021
rectangle representing image pixels
Figure 337489DEST_PATH_IMAGE004
To (1) a
Figure 937098DEST_PATH_IMAGE017
To a position of
Figure 403851DEST_PATH_IMAGE084
The value of each of the channels is,
Figure 456121DEST_PATH_IMAGE086
representative image pixel matrix
Figure 971416DEST_PATH_IMAGE004
To (1) a
Figure 550165DEST_PATH_IMAGE084
The mean value of the individual channels is,
Figure 63186DEST_PATH_IMAGE087
which represents the formed replacement set, is,
Figure 727385DEST_PATH_IMAGE025
respectively represent
Figure 46371DEST_PATH_IMAGE012
In
Figure 354993DEST_PATH_IMAGE014
Take values in turn of
Figure 429128DEST_PATH_IMAGE026
，
Figure 190411DEST_PATH_IMAGE084
Take values in turn of
Figure 640984DEST_PATH_IMAGE027
The value of (c) time of day,
Figure 538532DEST_PATH_IMAGE028
respectively representing image pixel matrices
Figure 455673DEST_PATH_IMAGE088
In
Figure 94465DEST_PATH_IMAGE008
The importance of the information of the three channels,
Figure 958515DEST_PATH_IMAGE031
representing alternative collections
Figure 100784DEST_PATH_IMAGE089
To middle
Figure 657667DEST_PATH_IMAGE034
The value of the one or more of,
Figure 252596DEST_PATH_IMAGE035
representative image pixel matrix
Figure 654759DEST_PATH_IMAGE004
To middle
Figure 589217DEST_PATH_IMAGE014
The optimization coefficients of the individual channels are,
Figure 441635DEST_PATH_IMAGE036
which represents the sum of the values of the first and second,
Figure 133648DEST_PATH_IMAGE090
represents the calculation of the minimum value,
Figure 729714DEST_PATH_IMAGE091
are all desirable
Figure 518679DEST_PATH_IMAGE008
Three channels;
step A2, using the following formula to matrix the image pixels
Figure 151785DEST_PATH_IMAGE004
Of each position
Figure DEST_PATH_IMAGE093
The values of the three channels are converted into comprehensive values, so that a comprehensive image pixel matrix is obtained
Figure 190148DEST_PATH_IMAGE040
：
Figure 324327DEST_PATH_IMAGE041
Wherein the content of the first and second substances,
Figure 967797DEST_PATH_IMAGE094
representing a matrix of synthetic image pixels
Figure 37385DEST_PATH_IMAGE040
To (1) a
Figure DEST_PATH_IMAGE095
The integrated value of the individual positions is,
Figure 94202DEST_PATH_IMAGE043
representative image pixel matrix
Figure 907438DEST_PATH_IMAGE004
To middle
Figure 998890DEST_PATH_IMAGE044
The optimization coefficients of the individual channels are,
Figure 708220DEST_PATH_IMAGE045
representative image pixel matrix
Figure 517913DEST_PATH_IMAGE004
To middle
Figure 665998DEST_PATH_IMAGE096
The optimization coefficients of the individual channels are,
Figure 487323DEST_PATH_IMAGE047
representative image pixel matrix
Figure 492189DEST_PATH_IMAGE097
To middle
Figure 398965DEST_PATH_IMAGE006
The optimization coefficients of the individual channels are,
Figure 350740DEST_PATH_IMAGE048
image pixel matrix
Figure 151206DEST_PATH_IMAGE097
To (1) a
Figure 467918DEST_PATH_IMAGE017
To a position of
Figure 986624DEST_PATH_IMAGE098
The value of the channel is such that,
Figure 476511DEST_PATH_IMAGE051
image pixel matrix
Figure 272429DEST_PATH_IMAGE004
To (1) a
Figure 884676DEST_PATH_IMAGE017
To a position of
Figure 500465DEST_PATH_IMAGE096
The value of the channel is such that,
Figure 794043DEST_PATH_IMAGE100
image pixel matrix
Figure 569101DEST_PATH_IMAGE004
To (1) a
Figure 227615DEST_PATH_IMAGE017
To a position of
Figure DEST_PATH_IMAGE101
The value of the channel;
step A3, the integrated image pixel matrix is then
Figure 998211DEST_PATH_IMAGE040
Is divided into square matrixes with equal size, and the number of rows and columns of each square matrix is
Figure 33164DEST_PATH_IMAGE054
When dividing, the number of rows or columns of a square matrix is insufficient
Figure 397149DEST_PATH_IMAGE054
For use at night
Figure 492144DEST_PATH_IMAGE056
Fill-in, synthesize the image pixel matrix using the following formula
Figure 879263DEST_PATH_IMAGE040
The comprehensive value of the pixel at each position is subjected to resolution information for difference enhancement, so that an image pixel matrix after image enhancement is obtained
Figure 842540DEST_PATH_IMAGE057
：
Figure 201977DEST_PATH_IMAGE102
Wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE103
representing an enhanced image pixel matrix
Figure 858086DEST_PATH_IMAGE057
To (1) a
Figure 670184DEST_PATH_IMAGE017
The value of the individual position is,
Figure 171573DEST_PATH_IMAGE060
representing a matrix of synthetic image pixels
Figure 447833DEST_PATH_IMAGE104
To (1) a
Figure 884631DEST_PATH_IMAGE017
The value of the individual position is,
Figure 308659DEST_PATH_IMAGE062
represents
Figure DEST_PATH_IMAGE105
Taking the value as an image pixel matrix
Figure 754684DEST_PATH_IMAGE040
After cutting
Figure 478926DEST_PATH_IMAGE106
All positions contained in the square matrix of the position, the number of rows and the number of columns of the square matrix are
Figure 821046DEST_PATH_IMAGE054
，
Figure 732370DEST_PATH_IMAGE064
Represents a preset adjustment coefficient, and generally takes the value of
Figure 513244DEST_PATH_IMAGE065
Nearby, the matrix
Figure 967359DEST_PATH_IMAGE057
And the corresponding image is the image after image enhancement, and the enhanced image is integrated to form the enhanced video playing content.
Furthermore, the system also comprises a brightness monitoring module for monitoring the change of the ambient brightness and transmitting the monitored ambient brightness value to a second control module; and receiving the environment brightness value monitored by the brightness monitoring module through the second control module, comparing the received environment brightness value with the set brightness threshold value, and controlling the image module to adjust the image brightness according to the comparison result.
Further, the controlling the image module to adjust the brightness of the image according to the comparison result includes:
step a1, global brightness enhancement processing is performed on the brightness component of the video playing content by using the following formula:
Figure 605014DEST_PATH_IMAGE107
wherein the content of the first and second substances,
Figure 879000DEST_PATH_IMAGE108
represents the global brightness adjusted brightness function,
Figure 197986DEST_PATH_IMAGE069
represents the coefficient of variation of the Gamma, and represents,
Figure 631242DEST_PATH_IMAGE070
represents the original luminance component of the video playback content,
Figure DEST_PATH_IMAGE109
represents the standard deviation value of a gaussian function,
Figure 908639DEST_PATH_IMAGE072
represents a natural constant of the natural gas,
Figure 732239DEST_PATH_IMAGE110
represents the function of an index, and represents,
Figure 792599DEST_PATH_IMAGE074
coordinates representing image pixel points;
step a2, after performing global brightness enhancement processing on the brightness component of the video playing content, performing saturation enhancement processing according to the following formula:
Figure DEST_PATH_IMAGE111
wherein the content of the first and second substances,
Figure 549202DEST_PATH_IMAGE112
represents the enhanced saturation component and is,
Figure DEST_PATH_IMAGE113
representing the original saturation component of the video playback content,
Figure 59818DEST_PATH_IMAGE114
which is representative of the value of the parameter,
Figure 308397DEST_PATH_IMAGE079
representing the average brightness of the illumination information.
Further, the method also comprises the following steps: and receiving the environment brightness value monitored by the brightness detection module through the third control module, comparing the received environment brightness value with the set brightness adjustment threshold value, and controlling the sound module to adjust the playing volume according to the comparison result.
Compared with the prior art, the invention has the beneficial effects that: the invention provides an intelligent television system and a control method, wherein the intelligent television system comprises the following steps: the system comprises: the video acquisition module is used for acquiring playing content information and sending the video playing content to the image processing module; the image processing module is used for carrying out image enhancement on the video playing content data acquired by the video acquisition module and sending the enhanced video playing content to the image display module; the image display module is used for playing the video playing content acquired by the video acquisition module; the sound module is used for being matched with the image display module and playing the sound of the video playing content; the noise monitoring module is used for monitoring environmental noise and transmitting a monitored environmental noise value to the first control module; the first control module is used for receiving the environmental noise value detected by the noise monitoring module, comparing the received environmental noise value with the set noise threshold value, controlling the sound module to adjust the playing volume according to the comparison result, and automatically adjusting the image brightness and the sound according to the change of the environment, so that the audio-visual experience of a user can be improved, the user operation is simplified, and the use by the user is facilitated.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings of the embodiments of the present invention will be briefly described below. Wherein the drawings are only for purposes of illustrating some embodiments of the invention and are not to be construed as limiting the invention to all embodiments thereof.
Fig. 1 is a block diagram of an intelligent television system according to the present invention;
fig. 2 is a flowchart of an intelligent control method for an intelligent television according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the technical problem to be solved by the present invention is to provide a smart tv system, which includes:
the video acquisition module is used for acquiring playing content information and sending the video playing content to the image processing module;
the image processing module is used for carrying out image enhancement on the video playing content data acquired by the video acquisition module and sending the enhanced video playing content to the image display module;
the image display module is used for playing the video playing content acquired by the video acquisition module;
the sound module is used for being matched with the image display module and playing the sound of the video playing content;
the noise monitoring module is used for monitoring environmental noise and transmitting a monitored environmental noise value to the first control module;
and the first control module is used for receiving the environmental noise value detected by the noise monitoring module, comparing the received environmental noise value with a set noise threshold value, and controlling the sound module to adjust the playing volume according to the comparison result.
In the technical scheme, firstly, a video acquisition module acquires playing content information and sends the control information of a user and video playing content to an image processing module; then, the image processing module performs image enhancement on the video playing content data acquired by the video acquisition module and sends the enhanced video playing content to the image display module; then, the image display module plays the video playing content acquired by the video acquisition module; next, the sound module is matched with the image display module to play the sound of the video playing content; then, the noise monitoring module monitors the environmental noise and transmits the monitored environmental noise value to the first control module; finally, the first control module receives the environmental noise value detected by the noise monitoring module, compares the received environmental noise value with the set noise threshold value, and controls the sound module to adjust the playing volume according to the comparison result, so that the automatic adjustment of the image brightness and the sound according to the change of the environment can be realized, the audio-visual experience of a user can be improved, the user operation is simplified, the use by the user is facilitated, the image enhancement is performed on the collected video playing content data, and the playing content is further clearer.
In an embodiment provided by the present invention, the specific steps of the image processing module performing image enhancement on the video playing content data acquired by the video acquisition module are as follows:
step A1, reading image by frame for video playing content collected by video collecting module, converting image information of the image into one
Figure 31502DEST_PATH_IMAGE001
Pixel point image pixel matrix
Figure DEST_PATH_IMAGE115
Wherein
Figure 580295DEST_PATH_IMAGE001
Representing said image
Figure 996233DEST_PATH_IMAGE001
A pixel point, the image pixel matrix
Figure 466528DEST_PATH_IMAGE004
Is composed of
Figure 931008DEST_PATH_IMAGE005
Line of
Figure 193362DEST_PATH_IMAGE006
Columns, the image pixel matrix
Figure 389988DEST_PATH_IMAGE004
The value of each position represents the value of the pixel point corresponding to the position, andthe value of a pixel is
Figure 737793DEST_PATH_IMAGE116
The set of values of the three channels, and the following formula is used to obtain the
Figure 5963DEST_PATH_IMAGE008
Optimization coefficients for three channels:
Figure 998190DEST_PATH_IMAGE009
Figure 490351DEST_PATH_IMAGE010
Figure 200818DEST_PATH_IMAGE083
wherein the content of the first and second substances,
Figure 334996DEST_PATH_IMAGE012
representative image pixel matrix
Figure 978467DEST_PATH_IMAGE118
To (1) a
Figure 782475DEST_PATH_IMAGE014
A channel and the second
Figure 839293DEST_PATH_IMAGE119
The degree of interchangeability between the individual channels,
Figure 449266DEST_PATH_IMAGE016
representative image pixel matrix
Figure 150505DEST_PATH_IMAGE004
To (1) a
Figure 250049DEST_PATH_IMAGE120
To a position of
Figure 669529DEST_PATH_IMAGE014
The value of each of the channels is,
Figure 817613DEST_PATH_IMAGE018
represents
Figure 763572DEST_PATH_IMAGE017
Is taken as an image pixel matrix
Figure 174962DEST_PATH_IMAGE121
All of the positions of (a) and (b),
Figure 940793DEST_PATH_IMAGE019
representative image pixel matrix
Figure 95831DEST_PATH_IMAGE121
To (1) a
Figure 568400DEST_PATH_IMAGE014
The mean value of the individual channels is,
Figure 275325DEST_PATH_IMAGE122
rectangle representing image pixels
Figure 403818DEST_PATH_IMAGE004
To (1) a
Figure 221601DEST_PATH_IMAGE120
To a position of
Figure 814257DEST_PATH_IMAGE084
The value of each of the channels is,
Figure 301870DEST_PATH_IMAGE023
representative image pixel matrix
Figure 42293DEST_PATH_IMAGE004
To (1) a
Figure 539133DEST_PATH_IMAGE084
The mean value of the individual channels is,
Figure 986295DEST_PATH_IMAGE024
which represents the formed replacement set, is,
Figure 35023DEST_PATH_IMAGE025
respectively represent
Figure 872529DEST_PATH_IMAGE012
In
Figure 32115DEST_PATH_IMAGE014
Take values in turn of
Figure DEST_PATH_IMAGE123
，
Figure 68204DEST_PATH_IMAGE084
Take values in turn of
Figure 22253DEST_PATH_IMAGE027
The value of (c) time of day,
Figure 612634DEST_PATH_IMAGE028
respectively representing image pixel matrices
Figure DEST_PATH_IMAGE125
In
Figure 841491DEST_PATH_IMAGE008
The importance of the information of the three channels,
Figure 200928DEST_PATH_IMAGE031
representing alternative collections
Figure 591458DEST_PATH_IMAGE126
To middle
Figure 465873DEST_PATH_IMAGE034
The value of the one or more of,
Figure 577048DEST_PATH_IMAGE035
representative imagePixel matrix
Figure 181205DEST_PATH_IMAGE004
To middle
Figure 414740DEST_PATH_IMAGE014
The optimization coefficients of the individual channels are,
Figure 979714DEST_PATH_IMAGE036
which represents the sum of the values of the first and second,
Figure DEST_PATH_IMAGE127
represents the calculation of the minimum value,
Figure 499774DEST_PATH_IMAGE038
are all desirable
Figure 958437DEST_PATH_IMAGE008
Three channels;
step A2, using the following formula to matrix the image pixels
Figure 362874DEST_PATH_IMAGE004
Of each position
Figure 415144DEST_PATH_IMAGE128
The values of the three channels are converted into comprehensive values, so that a comprehensive image pixel matrix is obtained
Figure 258335DEST_PATH_IMAGE040
：
Figure 446871DEST_PATH_IMAGE041
Wherein the content of the first and second substances,
Figure 22208DEST_PATH_IMAGE094
representing a matrix of synthetic image pixels
Figure DEST_PATH_IMAGE129
To (1) a
Figure 889670DEST_PATH_IMAGE017
The integrated value of the individual positions is,
Figure 536552DEST_PATH_IMAGE043
representative image pixel matrix
Figure 641911DEST_PATH_IMAGE004
To middle
Figure 591413DEST_PATH_IMAGE044
The optimization coefficients of the individual channels are,
Figure 477329DEST_PATH_IMAGE130
representative image pixel matrix
Figure 537689DEST_PATH_IMAGE004
To middle
Figure 497555DEST_PATH_IMAGE046
The optimization coefficients of the individual channels are,
Figure DEST_PATH_IMAGE131
representative image pixel matrix
Figure 477012DEST_PATH_IMAGE004
To middle
Figure 646962DEST_PATH_IMAGE006
The optimization coefficients of the individual channels are,
Figure 511013DEST_PATH_IMAGE132
image pixel matrix
Figure 590965DEST_PATH_IMAGE004
To (1) a
Figure 6903DEST_PATH_IMAGE017
To a position of
Figure 477198DEST_PATH_IMAGE044
The value of the channel is such that,
Figure 941678DEST_PATH_IMAGE133
image pixel matrix
Figure 204032DEST_PATH_IMAGE004
To (1) a
Figure 400658DEST_PATH_IMAGE017
To a position of
Figure 748462DEST_PATH_IMAGE135
The value of the channel is such that,
Figure 954316DEST_PATH_IMAGE052
image pixel matrix
Figure 743280DEST_PATH_IMAGE125
To (1) a
Figure 766600DEST_PATH_IMAGE017
To a position of
Figure 211488DEST_PATH_IMAGE006
The value of the channel;
step A3, the integrated image pixel matrix is then
Figure 80087DEST_PATH_IMAGE040
Is divided into
Figure DEST_PATH_IMAGE136
Each square matrix has equal size, and the number of rows and columns of each square matrix is
Figure 457978DEST_PATH_IMAGE054
When dividing, the number of rows or columns of a square matrix is insufficient
Figure DEST_PATH_IMAGE138
For use at night
Figure 589882DEST_PATH_IMAGE056
Complete, use the following formula to combineComposite image pixel matrix
Figure 584383DEST_PATH_IMAGE040
The comprehensive value of the pixel at each position is subjected to resolution information for difference enhancement, so that an image pixel matrix after image enhancement is obtained
Figure 991094DEST_PATH_IMAGE057
：
Figure 957913DEST_PATH_IMAGE058
Wherein the content of the first and second substances,
Figure 995139DEST_PATH_IMAGE060
representing an enhanced image pixel matrix
Figure 539253DEST_PATH_IMAGE139
To (1) a
Figure 625021DEST_PATH_IMAGE017
The value of the individual position is,
Figure 570980DEST_PATH_IMAGE060
representing a matrix of synthetic image pixels
Figure 982370DEST_PATH_IMAGE061
To (1) a
Figure DEST_PATH_IMAGE140
The value of the individual position is,
Figure 13779DEST_PATH_IMAGE062
represents
Figure 903238DEST_PATH_IMAGE141
Taking the value as an image pixel matrix
Figure 641387DEST_PATH_IMAGE040
After cutting
Figure 348312DEST_PATH_IMAGE017
All positions contained in the square matrix of the position, the number of rows and the number of columns of the square matrix are
Figure 476805DEST_PATH_IMAGE054
，
Figure 294588DEST_PATH_IMAGE064
Represents a preset adjustment coefficient, and generally takes the value of
Figure 621664DEST_PATH_IMAGE065
Nearby, the matrix
Figure 374857DEST_PATH_IMAGE057
And the corresponding image is the image after image enhancement, and the enhanced image is integrated to form the enhanced video playing content.
In the technical scheme, the enhancement of image characteristic information can be realized, particularly the difference enhancement of outline information is realized, the difference of video playing content data can be better distinguished through the enhancement of the outline information, so that the outline characteristic is more obvious, in the process, three channels of the image data are converted into a comprehensive channel, so that the calculated amount can be reduced, in the process of the comprehensive channel, channels with more information content in the channels are given higher weight, so that the lost information is less, the structural characteristic can be more completely stored, the image is divided into a plurality of square matrixes, so that a whole image is converted into a plurality of local images, and when the image information is enhanced, each local image is operated, so that each local image can be better matched, and the difference enhancement of the outline information of the image is realized, the boundary information is more sensitive, the characteristics of the boundary are more obvious, and therefore the characteristic information of the image is more obvious and extracted, the definition of the image is improved, wherein in the process, the automatic operation is realized, and the manual operation amount is greatly reduced.
In one embodiment provided by the present invention, the method further includes: luminance detection module and second control module, wherein:
the brightness monitoring module is used for monitoring the change of the ambient brightness and transmitting the monitored ambient brightness value to the second control module;
the second control module is used for receiving the environment brightness value monitored by the brightness monitoring module, comparing the received environment brightness value with the set brightness threshold value, and controlling the image module to adjust the image brightness according to the comparison result;
the specific steps of the second control module for adjusting the image brightness are as follows:
step a1, global brightness enhancement processing is performed on the brightness component of the video playing content by using the following formula:
Figure 115279DEST_PATH_IMAGE067
wherein the content of the first and second substances,
Figure 408858DEST_PATH_IMAGE068
represents the global brightness adjusted brightness function,
Figure 59282DEST_PATH_IMAGE069
represents the coefficient of variation of the Gamma, and represents,
Figure 576851DEST_PATH_IMAGE142
represents the original luminance component of the video playback content,
Figure 945515DEST_PATH_IMAGE071
represents the standard deviation value of a gaussian function,
Figure 105101DEST_PATH_IMAGE072
represents a natural constant of the natural gas,
Figure 672349DEST_PATH_IMAGE073
represents the function of an index, and represents,
Figure 501764DEST_PATH_IMAGE074
representing the position of image pixelsMarking;
step a2, after performing global brightness enhancement processing on the brightness component of the video playing content, performing saturation enhancement processing according to the following formula:
Figure 216780DEST_PATH_IMAGE075
wherein the content of the first and second substances,
Figure 55423DEST_PATH_IMAGE112
represents the enhanced saturation component and is,
Figure 211597DEST_PATH_IMAGE077
representing the original saturation component of the video playback content,
Figure 602127DEST_PATH_IMAGE114
which is representative of the value of the parameter,
Figure DEST_PATH_IMAGE143
representing the average brightness of the illumination information.
In the technical scheme, the brightness monitoring module is arranged to monitor the change of the ambient brightness and transmit the monitored ambient brightness value to the second control module; the second control module is used for receiving the environment brightness value monitored by the brightness monitoring module, comparing the received environment brightness value with the set brightness threshold value, and controlling the image module to adjust the image brightness according to the comparison result; the realization realizes according to the change of surrounding environment luminance, realizes automatically regulated image brightness and contrast for the TV adapts to high, middle, low luminance environment, and the automatic adjustment is to the optimum, promotes viewer's comfort, and plays the effect of protecting the eyesight.
In an embodiment of the present invention, the audio playback device further includes a third control module, configured to receive the environment brightness value monitored by the brightness detection module, compare the received environment brightness value with the set brightness adjustment threshold, and control the sound module to adjust the playback volume according to the comparison result.
In the above technical solution, by setting the third control module, the brightness monitoring module detects the ambient brightness, and transmits the detected ambient brightness value to the third control module and the second control module, when the third control module obtains the ambient brightness value, the ambient brightness value is compared with the pre-stored brightness adjustment threshold, if the ambient brightness value is smaller than the brightness adjustment threshold, it indicates that the current ambient light is too dark, usually at night, and needs to be quiet, so that the third control module sends a control signal to the sound module to control the sound module to reduce the playing volume of the television, and if the ambient brightness value received by the third control module is greater than the brightness adjustment threshold, it indicates that the current ambient brightness is too bright, usually at daytime, and usually at daytime, the noise is large, so the third control module sends a control signal to the sound module to control the sound module to increase the playing volume of the television program, the playing volume of the television can be automatically adjusted, and through the automatic adjusting function, a user can use the television series more conveniently, and the audio-visual experience of the user is improved.
An intelligent control method of an intelligent television, the method comprising:
s1, collecting the information of the playing content through a video collecting module, and sending the video playing content to an image processing module;
s2, the image processing module is used for carrying out image enhancement on the video playing content data collected by the video collecting module and sending the enhanced video playing content to the image display module;
s3, playing the video playing content acquired by the video acquisition module through the image display module;
s4, a sound module for playing the sound of the video playing content through the cooperation of the sound module and the image display module;
s5, monitoring the environmental noise through the noise monitoring module, and transmitting the monitored environmental noise value to the first control module;
and S6, finally, receiving the environmental noise value detected by the noise monitoring module through the first control module, comparing the received environmental noise value with a set noise threshold value, and controlling the sound module to adjust the playing volume according to the comparison result.
In the technical scheme, firstly, playing content information is collected through a video collecting module, and the video playing content is sent to an image processing module; secondly, image enhancement is carried out on the video playing content data acquired by the video acquisition module through the image processing module, and the enhanced video playing content is sent to the image display module; then, playing the video playing content acquired by the video acquisition module through the image display module; then, through the cooperation of the sound module and the image display module, the sound module plays the sound of the video playing content; next, monitoring the environmental noise through a noise monitoring module, and transmitting the monitored environmental noise value to a first control module; finally, the first control module receives the environmental noise value detected by the noise monitoring module, compares the received environmental noise value with the set noise threshold value, and controls the sound module to adjust the playing volume according to the comparison result, so that the automatic adjustment of the image brightness and the sound according to the change of the environment can be realized, the audio-visual experience of a user can be improved, the user operation is simplified, the use by the user is facilitated, and the image enhancement is performed on the collected video playing content data, so that the playing content is further clearer.
In an embodiment provided by the present invention, the image enhancement of the video playing content data acquired by the video acquisition module by the image processing module includes:
step A1, reading image by frame for video playing content collected by video collecting module, converting image information of the image into one
Figure 679805DEST_PATH_IMAGE001
Pixel point image pixel matrix
Figure 446773DEST_PATH_IMAGE004
Wherein
Figure 660716DEST_PATH_IMAGE001
Representing said image
Figure 222148DEST_PATH_IMAGE001
A pixel point, the image pixel matrix
Figure 583859DEST_PATH_IMAGE004
Is composed of
Figure 764304DEST_PATH_IMAGE144
Line of
Figure 957388DEST_PATH_IMAGE006
Columns, the image pixel matrix
Figure 565087DEST_PATH_IMAGE004
The value of each position represents the value of the pixel point corresponding to the position, and the value of the pixel point contains
Figure 414095DEST_PATH_IMAGE008
The set of values of the three channels, and the following formula is used to obtain the
Figure 991706DEST_PATH_IMAGE008
Optimization coefficients for three channels:
Figure DEST_PATH_IMAGE145
Figure 39297DEST_PATH_IMAGE010
Figure 817897DEST_PATH_IMAGE011
wherein the content of the first and second substances,
Figure 154200DEST_PATH_IMAGE146
representative image pixel matrix
Figure 535503DEST_PATH_IMAGE013
To (1) a
Figure DEST_PATH_IMAGE147
A channel and the second
Figure 109704DEST_PATH_IMAGE084
The degree of interchangeability between the individual channels,
Figure 8058DEST_PATH_IMAGE016
representative image pixel matrix
Figure 503761DEST_PATH_IMAGE004
To (1) a
Figure 954334DEST_PATH_IMAGE148
To a position of
Figure 914200DEST_PATH_IMAGE014
The value of each of the channels is,
Figure 34603DEST_PATH_IMAGE149
represents
Figure 407815DEST_PATH_IMAGE017
Is taken as an image pixel matrix
Figure 271866DEST_PATH_IMAGE004
All of the positions of (a) and (b),
Figure 414134DEST_PATH_IMAGE019
representative image pixel matrix
Figure 767755DEST_PATH_IMAGE004
To (1) a
Figure 503630DEST_PATH_IMAGE014
The mean value of the individual channels is,
Figure 30427DEST_PATH_IMAGE150
rectangle representing image pixels
Figure 902568DEST_PATH_IMAGE004
To (1) a
Figure 427090DEST_PATH_IMAGE017
To a position of
Figure 774895DEST_PATH_IMAGE084
The value of each of the channels is,
Figure 715169DEST_PATH_IMAGE023
representative image pixel matrix
Figure 832029DEST_PATH_IMAGE004
To (1) a
Figure 527453DEST_PATH_IMAGE084
The mean value of the individual channels is,
Figure 972341DEST_PATH_IMAGE024
which represents the formed replacement set, is,
Figure DEST_PATH_IMAGE151
respectively represent
Figure 309781DEST_PATH_IMAGE012
In
Figure 218831DEST_PATH_IMAGE014
Take values in turn of
Figure 147473DEST_PATH_IMAGE026
，
Figure 345236DEST_PATH_IMAGE084
Take values in turn of
Figure 751947DEST_PATH_IMAGE027
The value of (c) time of day,
Figure 312241DEST_PATH_IMAGE028
respectively representing image pixel matrices
Figure 287150DEST_PATH_IMAGE152
In
Figure 768947DEST_PATH_IMAGE008
The importance of the information of the three channels,
Figure 244928DEST_PATH_IMAGE031
representing alternative collections
Figure 800674DEST_PATH_IMAGE024
To middle
Figure 336698DEST_PATH_IMAGE034
The value of the one or more of,
Figure 40211DEST_PATH_IMAGE035
representative image pixel matrix
Figure 664091DEST_PATH_IMAGE004
To middle
Figure 730136DEST_PATH_IMAGE014
The optimization coefficients of the individual channels are,
Figure 46848DEST_PATH_IMAGE036
which represents the sum of the values of the first and second,
Figure 237658DEST_PATH_IMAGE090
represents the calculation of the minimum value,
Figure 55441DEST_PATH_IMAGE038
are all desirable
Figure 585779DEST_PATH_IMAGE008
Three channels;
step A2, using the following formula to matrix the image pixels
Figure 463606DEST_PATH_IMAGE004
Of each position
Figure 141712DEST_PATH_IMAGE008
The values of the three channels are converted into a composite value,thereby obtaining a comprehensive image pixel matrix
Figure 372973DEST_PATH_IMAGE040
：
Figure 882451DEST_PATH_IMAGE041
Wherein the content of the first and second substances,
Figure 806545DEST_PATH_IMAGE094
representing a matrix of synthetic image pixels
Figure 971947DEST_PATH_IMAGE040
To (1) a
Figure 131533DEST_PATH_IMAGE017
The integrated value of the individual positions is,
Figure 370885DEST_PATH_IMAGE043
representative image pixel matrix
Figure 590513DEST_PATH_IMAGE004
To middle
Figure 243212DEST_PATH_IMAGE044
The optimization coefficients of the individual channels are,
Figure 816275DEST_PATH_IMAGE045
representative image pixel matrix
Figure 300346DEST_PATH_IMAGE004
To middle
Figure 566243DEST_PATH_IMAGE046
The optimization coefficients of the individual channels are,
Figure 440658DEST_PATH_IMAGE047
representative image pixel matrix
Figure 207625DEST_PATH_IMAGE004
To middle
Figure 687148DEST_PATH_IMAGE006
The optimization coefficients of the individual channels are,
Figure 983000DEST_PATH_IMAGE153
image pixel matrix
Figure 547974DEST_PATH_IMAGE004
To (1) a
Figure 259578DEST_PATH_IMAGE017
To a position of
Figure 983820DEST_PATH_IMAGE044
The value of the channel is such that,
Figure 325940DEST_PATH_IMAGE051
image pixel matrix
Figure 502843DEST_PATH_IMAGE004
To (1) a
Figure 18138DEST_PATH_IMAGE017
To a position of
Figure DEST_PATH_IMAGE154
The value of the channel is such that,
Figure 800150DEST_PATH_IMAGE052
image pixel matrix
Figure 578750DEST_PATH_IMAGE004
To (1) a
Figure 915053DEST_PATH_IMAGE017
To a position of
Figure 561935DEST_PATH_IMAGE006
The value of the channel;
step A3, the integrated image pixel matrix is then
Figure 604978DEST_PATH_IMAGE040
Is divided into
Figure 679113DEST_PATH_IMAGE136
Each square matrix has equal size, and the number of rows and columns of each square matrix is
Figure 237133DEST_PATH_IMAGE155
When dividing, the number of rows or columns of a square matrix is insufficient
Figure 563072DEST_PATH_IMAGE054
For use at night
Figure 585255DEST_PATH_IMAGE157
Fill-in, synthesize the image pixel matrix using the following formula
Figure 705658DEST_PATH_IMAGE040
The comprehensive value of the pixel at each position is subjected to resolution information for difference enhancement, so that an image pixel matrix after image enhancement is obtained
Figure DEST_PATH_IMAGE158
：
Figure 610029DEST_PATH_IMAGE058
Wherein the content of the first and second substances,
Figure 474079DEST_PATH_IMAGE060
representing an enhanced image pixel matrix
Figure 350769DEST_PATH_IMAGE057
To (1) a
Figure 907652DEST_PATH_IMAGE017
The value of the individual position is,
Figure 440264DEST_PATH_IMAGE060
representing a matrix of synthetic image pixels
Figure 701481DEST_PATH_IMAGE061
To (1) a
Figure 839202DEST_PATH_IMAGE017
The value of the individual position is,
Figure 363724DEST_PATH_IMAGE062
represents
Figure 445949DEST_PATH_IMAGE141
Taking the value as an image pixel matrix
Figure 651803DEST_PATH_IMAGE040
After cutting
Figure 440767DEST_PATH_IMAGE017
All positions contained in the square matrix of the position, the number of rows and the number of columns of the square matrix are
Figure 210226DEST_PATH_IMAGE159
，
Figure 655114DEST_PATH_IMAGE064
Represents a preset adjustment coefficient, and generally takes the value of
Figure 789292DEST_PATH_IMAGE065
Nearby, the matrix
Figure 636026DEST_PATH_IMAGE057
And the corresponding image is the image after image enhancement, and the enhanced image is integrated to form the enhanced video playing content.
In the technical scheme, the enhancement of image characteristic information can be realized, particularly the difference enhancement of outline information is realized, the difference of video playing content data can be better distinguished through the enhancement of the outline information, so that the outline characteristic is more obvious, in the process, three channels of the image data are converted into a comprehensive channel, so that the calculated amount can be reduced, in the process of the comprehensive channel, channels with more information content in the channels are given higher weight, so that the lost information is less, the structural characteristic can be more completely stored, the image is divided into a plurality of square matrixes, so that a whole image is converted into a plurality of local images, and when the image information is enhanced, each local image is operated, so that each local image can be better matched, and the difference enhancement of the outline information of the image is realized, the boundary information is more sensitive, the characteristics of the boundary are more obvious, and therefore the characteristic information of the image is more obvious and extracted, the definition of the image is improved, wherein in the process, the automatic operation is realized, and the manual operation amount is greatly reduced.
In one embodiment provided by the present invention, the method further includes monitoring a change in ambient brightness by a brightness monitoring module, and transmitting the monitored ambient brightness value to the second control module; receiving the environment brightness value monitored by the brightness monitoring module through the second control module, comparing the received environment brightness value with the set brightness threshold value, and controlling the image module to adjust the image brightness according to the comparison result; the controlling the image module to adjust the image brightness according to the comparison result comprises:
step a1, global brightness enhancement processing is performed on the brightness component of the video playing content by using the following formula:
Figure 502350DEST_PATH_IMAGE067
wherein the content of the first and second substances,
Figure 559168DEST_PATH_IMAGE068
represents the global brightness adjusted brightness function,
Figure 106824DEST_PATH_IMAGE069
represents the coefficient of variation of the Gamma, and represents,
Figure 198277DEST_PATH_IMAGE070
represents the original luminance component of the video playback content,
Figure DEST_PATH_IMAGE160
represents the standard deviation value of a gaussian function,
Figure 438765DEST_PATH_IMAGE072
represents a natural constant of the natural gas,
Figure 982879DEST_PATH_IMAGE073
represents the function of an index, and represents,
Figure 334226DEST_PATH_IMAGE074
coordinates representing image pixel points;
step a2, after performing global brightness enhancement processing on the brightness component of the video playing content, performing saturation enhancement processing according to the following formula:
Figure 952289DEST_PATH_IMAGE075
wherein the content of the first and second substances,
Figure 222734DEST_PATH_IMAGE161
represents the enhanced saturation component and is,
Figure 863931DEST_PATH_IMAGE077
representing the original saturation component of the video playback content,
Figure 143602DEST_PATH_IMAGE114
which is representative of the value of the parameter,
Figure 616172DEST_PATH_IMAGE079
representing the average brightness of the illumination information.
In the technical scheme, the brightness monitoring module is arranged to monitor the change of the ambient brightness and transmit the monitored ambient brightness value to the second control module; the second control module is used for receiving the environment brightness value monitored by the brightness monitoring module, comparing the received environment brightness value with the set brightness threshold value, and controlling the image module to adjust the image brightness according to the comparison result; the realization realizes according to the change of surrounding environment luminance, realizes automatically regulated image brightness and contrast for the TV adapts to high, middle, low luminance environment, and the automatic adjustment is to the optimum, promotes viewer's comfort, and plays the effect of protecting the eyesight.
In one embodiment provided by the present invention, the method further includes: and receiving the environment brightness value monitored by the brightness detection module through the third control module, comparing the received environment brightness value with the set brightness adjustment threshold value, and controlling the sound module to adjust the playing volume according to the comparison result.
In the above technical solution, by setting the third control module, the brightness monitoring module detects the ambient brightness, and transmits the detected ambient brightness value to the third control module and the second control module, when the third control module obtains the ambient brightness value, the ambient brightness value is compared with the pre-stored brightness adjustment threshold, if the ambient brightness value is smaller than the brightness adjustment threshold, it indicates that the current ambient light is too dark, usually at night, and needs to be quiet, so that the third control module sends a control signal to the sound module to control the sound module to reduce the playing volume of the television, and if the ambient brightness value received by the third control module is greater than the brightness adjustment threshold, it indicates that the current ambient brightness is too bright, usually at daytime, and usually at daytime, the noise is large, so the third control module sends a control signal to the sound module to control the sound module to increase the playing volume of the television program, the playing volume of the television can be automatically adjusted, and through the automatic adjusting function, a user can use the television series more conveniently, and the audio-visual experience of the user is improved.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle scope of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. An intelligent television system, characterized in that the system comprises:
the video acquisition module is used for acquiring video playing content information and sending the video playing content to the image processing module;
the image processing module is used for carrying out image enhancement on the video playing content data acquired by the video acquisition module and sending the enhanced video playing content to the image display module;
the image display module is used for playing the video playing content acquired by the video acquisition module;
the sound module is used for being matched with the image display module and playing the sound of the video playing content;
the noise monitoring module is used for monitoring environmental noise and transmitting a monitored environmental noise value to the first control module;
and the first control module is used for receiving the environmental noise value detected by the noise monitoring module, comparing the received environmental noise value with a set noise threshold value, and controlling the sound module to adjust the playing volume according to the comparison result.
2. The smart television system of claim 1, further comprising: the image processing module performs image enhancement on the video playing content data acquired by the video acquisition module, and the image processing module specifically comprises the following steps:
step A1, reading image by frame for video playing content collected by video collecting module, converting image information of the image into one
Figure 211941DEST_PATH_IMAGE001
Pixel point image pixel matrix
Figure 925819DEST_PATH_IMAGE002
Wherein
Figure 33452DEST_PATH_IMAGE001
Representing said image
Figure 490978DEST_PATH_IMAGE001
A pixel point, the image pixel matrix
Figure 508613DEST_PATH_IMAGE002
Is composed of
Figure 393392DEST_PATH_IMAGE003
Line of
Figure 988322DEST_PATH_IMAGE004
Columns, the image pixel matrix
Figure 983960DEST_PATH_IMAGE002
The value of each position represents the value of the pixel point corresponding to the position, and the value of the pixel point contains
Figure 308631DEST_PATH_IMAGE005
The set of values of the three channels, and the following formula is used to obtain the
Figure 686348DEST_PATH_IMAGE005
Optimization coefficients for three channels:
Figure 565311DEST_PATH_IMAGE006
Figure 833482DEST_PATH_IMAGE007
Figure 153604DEST_PATH_IMAGE008
wherein the content of the first and second substances,
Figure 645766DEST_PATH_IMAGE009
representative image pixel matrix
Figure 949708DEST_PATH_IMAGE010
To (1) a
Figure 552728DEST_PATH_IMAGE012
A channel and the second
Figure 524095DEST_PATH_IMAGE013
The degree of interchangeability between the individual channels,
Figure 187157DEST_PATH_IMAGE014
representative image pixel matrix
Figure 978396DEST_PATH_IMAGE016
To (1) a
Figure 260473DEST_PATH_IMAGE017
To a position of
Figure 414242DEST_PATH_IMAGE018
The value of each of the channels is,
Figure 717048DEST_PATH_IMAGE019
represents
Figure 594917DEST_PATH_IMAGE017
Is taken as an image pixel matrix
Figure 602056DEST_PATH_IMAGE002
All of the positions of (a) and (b),
Figure 16857DEST_PATH_IMAGE020
representative image pixel matrix
Figure 162667DEST_PATH_IMAGE002
To (1) a
Figure 194077DEST_PATH_IMAGE018
The mean value of the individual channels is,
Figure 942590DEST_PATH_IMAGE021
rectangle representing image pixels
Figure 618422DEST_PATH_IMAGE002
To (1) a
Figure 59768DEST_PATH_IMAGE017
To a position of
Figure 578474DEST_PATH_IMAGE013
The value of each of the channels is,
Figure 6044DEST_PATH_IMAGE022
representative image pixel matrix
Figure 395437DEST_PATH_IMAGE002
To (1) a
Figure 7684DEST_PATH_IMAGE013
The mean value of the individual channels is,
Figure 748107DEST_PATH_IMAGE023
which represents the formed replacement set, is,
Figure 244948DEST_PATH_IMAGE024
respectively represent
Figure 816743DEST_PATH_IMAGE009
In
Figure 599892DEST_PATH_IMAGE018
Take values in turn of
Figure 235402DEST_PATH_IMAGE025
，
Figure 660567DEST_PATH_IMAGE013
Take values in turn of
Figure 86869DEST_PATH_IMAGE026
The value of (c) time of day,
Figure 40918DEST_PATH_IMAGE027
respectively representing image pixel matrices
Figure 631300DEST_PATH_IMAGE002
In
Figure 328997DEST_PATH_IMAGE028
The importance of the information of the three channels,
Figure 281910DEST_PATH_IMAGE029
representing alternative collections
Figure 469178DEST_PATH_IMAGE023
To middle
Figure 202647DEST_PATH_IMAGE030
The value of the one or more of,
Figure 172877DEST_PATH_IMAGE031
representative image pixel matrix
Figure 980296DEST_PATH_IMAGE002
To middle
Figure 875483DEST_PATH_IMAGE032
The optimization coefficients of the individual channels are,
Figure 299511DEST_PATH_IMAGE033
which represents the sum of the values of the first and second,
Figure 994804DEST_PATH_IMAGE034
represents the calculation of the minimum value,
Figure 46942DEST_PATH_IMAGE035
are all desirable
Figure 372750DEST_PATH_IMAGE005
Three channels;
step A2, using the following formula to matrix the image pixels
Figure 143129DEST_PATH_IMAGE002
Of each position
Figure 714881DEST_PATH_IMAGE005
The values of the three channels are converted into comprehensive values, so that a comprehensive image pixel matrix is obtained
Figure 746160DEST_PATH_IMAGE036
：
Figure 242869DEST_PATH_IMAGE037
Wherein the content of the first and second substances,
Figure 234965DEST_PATH_IMAGE038
representing a matrix of synthetic image pixels
Figure 475322DEST_PATH_IMAGE036
To (1) a
Figure 507913DEST_PATH_IMAGE017
The integrated value of the individual positions is,
Figure 909944DEST_PATH_IMAGE039
representative image pixel matrix
Figure 654915DEST_PATH_IMAGE002
To middle
Figure 964542DEST_PATH_IMAGE040
The optimization coefficients of the individual channels are,
Figure 580200DEST_PATH_IMAGE041
representative image pixel matrix
Figure 418712DEST_PATH_IMAGE002
To middle
Figure 75082DEST_PATH_IMAGE042
The optimization coefficients of the individual channels are,
Figure 657242DEST_PATH_IMAGE043
representative image pixel matrix
Figure 252040DEST_PATH_IMAGE002
To middle
Figure 667978DEST_PATH_IMAGE004
The optimization coefficients of the individual channels are,
Figure 387541DEST_PATH_IMAGE044
image pixel matrix
Figure 44831DEST_PATH_IMAGE002
To (1) a
Figure 369502DEST_PATH_IMAGE045
To a position of
Figure 80975DEST_PATH_IMAGE046
The value of the channel is such that,
Figure 287834DEST_PATH_IMAGE047
image pixel matrix
Figure 211797DEST_PATH_IMAGE002
To (1) a
Figure 922132DEST_PATH_IMAGE017
To a position of
Figure 674013DEST_PATH_IMAGE048
The value of the channel is such that,
Figure 102590DEST_PATH_IMAGE049
image pixel matrix
Figure 564664DEST_PATH_IMAGE002
To (1) a
Figure 660665DEST_PATH_IMAGE017
To a position of
Figure 448361DEST_PATH_IMAGE050
The value of the channel;
step A3, the integrated image pixel matrix is then
Figure 635672DEST_PATH_IMAGE036
Is divided into
Figure 901437DEST_PATH_IMAGE051
Each square matrix has equal size, and the number of rows and columns of each square matrix is
Figure 727311DEST_PATH_IMAGE052
When dividing, the number of rows or columns of a square matrix is insufficient
Figure 951487DEST_PATH_IMAGE052
For use at night
Figure 354656DEST_PATH_IMAGE053
Fill-in, synthesize the image pixel matrix using the following formula
Figure 830637DEST_PATH_IMAGE036
Each bit inThe integrated value of the pixel is put to carry out the difference enhancement of the resolution information, thereby obtaining the pixel matrix of the image after the image enhancement
Figure 918808DEST_PATH_IMAGE054
：
Figure 313886DEST_PATH_IMAGE055
Wherein the content of the first and second substances,
Figure 79717DEST_PATH_IMAGE056
representing an enhanced image pixel matrix
Figure 218443DEST_PATH_IMAGE057
To (1) a
Figure 143542DEST_PATH_IMAGE017
The value of the individual position is,
Figure 178363DEST_PATH_IMAGE056
representing a matrix of synthetic image pixels
Figure 437349DEST_PATH_IMAGE058
To (1) a
Figure 114187DEST_PATH_IMAGE017
The value of the individual position is,
Figure 893793DEST_PATH_IMAGE059
represents
Figure 630674DEST_PATH_IMAGE060
Taking the value as an image pixel matrix
Figure 902255DEST_PATH_IMAGE036
After cutting
Figure 117205DEST_PATH_IMAGE017
All positions contained in the square matrix of the position, the number of rows and the number of columns of the square matrix are
Figure 886404DEST_PATH_IMAGE052
，
Figure 794186DEST_PATH_IMAGE061
Represents a preset adjustment coefficient, and generally takes the value of
Figure 287484DEST_PATH_IMAGE062
Nearby, the matrix
Figure 571703DEST_PATH_IMAGE057
And the corresponding image is the image after image enhancement, and the enhanced image is integrated to form the enhanced video playing content.
3. The smart television system of claim 1, further comprising: luminance detection module and second control module, wherein:
the brightness monitoring module is used for monitoring the change of the ambient brightness and transmitting the monitored ambient brightness value to the second control module;
and the second control module is used for receiving the environment brightness value monitored by the brightness monitoring module, comparing the received environment brightness value with the set brightness threshold value, and controlling the image module to adjust the image brightness according to the comparison result.
4. The intelligent television system according to claim 3, wherein the second control module performs the specific steps of adjusting the brightness of the image as follows:
step a1, global brightness enhancement processing is performed on the brightness component of the video playing content by using the following formula:
Figure 512852DEST_PATH_IMAGE063
wherein the content of the first and second substances,
Figure 394133DEST_PATH_IMAGE064
represents the global brightness adjusted brightness function,
Figure 827257DEST_PATH_IMAGE065
represents the coefficient of variation of the Gamma, and represents,
Figure 118430DEST_PATH_IMAGE066
represents the original luminance component of the video playback content,
Figure 602501DEST_PATH_IMAGE067
represents the standard deviation value of a gaussian function,
Figure 117665DEST_PATH_IMAGE068
represents a natural constant of the natural gas,
Figure 9109DEST_PATH_IMAGE069
represents the function of an index, and represents,
Figure 510497DEST_PATH_IMAGE070
coordinates representing image pixel points;
step a2, after performing global brightness enhancement processing on the brightness component of the video playing content, performing saturation enhancement processing according to the following formula:
Figure 973708DEST_PATH_IMAGE071
wherein the content of the first and second substances,
Figure 394194DEST_PATH_IMAGE072
represents the enhanced saturation component and is,
Figure 942856DEST_PATH_IMAGE073
representing the original saturation component of the video playback content,
Figure 716777DEST_PATH_IMAGE074
which is representative of the value of the parameter,
Figure 571513DEST_PATH_IMAGE075
representing the average brightness of the illumination information.
5. The smart tv system as claimed in claim 3, further comprising a third control module for receiving the ambient brightness value monitored by the brightness detection module, comparing the received ambient brightness value with the set brightness adjustment threshold, and controlling the sound module to adjust the playing volume according to the comparison result.
6. An intelligent control method of an intelligent television is characterized by comprising the following steps:
the method comprises the steps that video playing content information is collected through a video collecting module, and the video playing content is sent to an image processing module;
the image processing module is used for enhancing the image of the video playing content data acquired by the video acquisition module and sending the enhanced video playing content to the image display module;
playing the video playing content acquired by the video acquisition module through the image display module;
the sound module is matched with the image display module and plays the sound of the video playing content;
monitoring environmental noise through a noise monitoring module, and transmitting a monitored environmental noise value to a first control module;
and finally, receiving the environmental noise value detected by the noise monitoring module through the first control module, comparing the received environmental noise value with a set noise threshold value, and controlling the sound module to adjust the playing volume according to the comparison result.
7. The intelligent control method for the intelligent television as claimed in claim 6, wherein the image enhancement of the video playing content data collected by the video collection module through the image processing module comprises:
step A1, reading image by frame for video playing content collected by video collecting module, converting image information of the image into one
Figure 162900DEST_PATH_IMAGE001
Pixel point image pixel matrix
Figure 74224DEST_PATH_IMAGE002
Wherein
Figure 307628DEST_PATH_IMAGE076
Representing said image
Figure 886377DEST_PATH_IMAGE001
A pixel point, the image pixel matrix
Figure 648666DEST_PATH_IMAGE002
Is composed of
Figure 307006DEST_PATH_IMAGE003
Line of
Figure 78521DEST_PATH_IMAGE004
Columns, the image pixel matrix
Figure 370831DEST_PATH_IMAGE002
The value of each position represents the value of the pixel point corresponding to the position, the value of the pixel point is a set containing the values of three channels, and the following formula is utilized to obtain the value
Figure 444967DEST_PATH_IMAGE005
Optimization coefficients for three channels:
Figure 189938DEST_PATH_IMAGE006
Figure 640511DEST_PATH_IMAGE007
Figure 58766DEST_PATH_IMAGE077
wherein the content of the first and second substances,
Figure 162857DEST_PATH_IMAGE009
representative image pixel matrix
Figure 801648DEST_PATH_IMAGE010
To (1) a
Figure 649388DEST_PATH_IMAGE018
A channel and the second
Figure 791656DEST_PATH_IMAGE078
The degree of interchangeability between the individual channels,
Figure 332228DEST_PATH_IMAGE014
representative image pixel matrix
Figure 803790DEST_PATH_IMAGE002
To (1) a
Figure 189641DEST_PATH_IMAGE017
To a position of
Figure 717574DEST_PATH_IMAGE018
The value of each of the channels is,
Figure 429047DEST_PATH_IMAGE019
represents
Figure 511272DEST_PATH_IMAGE017
Is taken as an image pixel matrix
Figure 497552DEST_PATH_IMAGE079
In all the positions of the mobile phone, the mobile phone is provided with a plurality of positions,
Figure 354692DEST_PATH_IMAGE020
representative image pixel matrix
Figure 237067DEST_PATH_IMAGE002
To (1) a
Figure 72167DEST_PATH_IMAGE018
The mean value of the individual channels is,
Figure 799821DEST_PATH_IMAGE021
rectangle representing image pixels
Figure 161401DEST_PATH_IMAGE002
To (1) a
Figure 90043DEST_PATH_IMAGE017
To a position of
Figure 265635DEST_PATH_IMAGE013
The value of each of the channels is,
Figure 62558DEST_PATH_IMAGE080
representative image pixel matrix
Figure 154011DEST_PATH_IMAGE002
To (1) a
Figure 378188DEST_PATH_IMAGE013
The mean value of the individual channels is,
Figure 922302DEST_PATH_IMAGE081
which represents the formed replacement set, is,
Figure 788496DEST_PATH_IMAGE024
respectively represent
Figure 468876DEST_PATH_IMAGE009
In
Figure 869813DEST_PATH_IMAGE018
Take values in turn of
Figure 901223DEST_PATH_IMAGE025
，
Figure 305528DEST_PATH_IMAGE013
Take values in turn of
Figure 965049DEST_PATH_IMAGE026
The value of (c) time of day,
Figure 937553DEST_PATH_IMAGE027
respectively representing image pixel matrices
Figure 315313DEST_PATH_IMAGE002
In
Figure 150675DEST_PATH_IMAGE005
The importance of the information of the three channels,
Figure 195860DEST_PATH_IMAGE029
representing alternative collections
Figure 808107DEST_PATH_IMAGE023
To middle
Figure 673164DEST_PATH_IMAGE030
The value of the one or more of,
Figure 294638DEST_PATH_IMAGE031
representative image pixel matrix
Figure 194330DEST_PATH_IMAGE002
To middle
Figure 107971DEST_PATH_IMAGE018
The optimization coefficients of the individual channels are,
Figure 601269DEST_PATH_IMAGE033
which represents the sum of the values of the first and second,
Figure 885489DEST_PATH_IMAGE034
represents the calculation of the minimum value,
Figure 515053DEST_PATH_IMAGE035
are all desirable
Figure 593737DEST_PATH_IMAGE082
Three channels;
step A2, using the following formula to matrix the image pixels
Figure 574331DEST_PATH_IMAGE002
Of each position
Figure 656382DEST_PATH_IMAGE005
The values of the three channels are converted into comprehensive values, so that a comprehensive image pixel matrix is obtained
Figure 671612DEST_PATH_IMAGE083
：
Figure 921196DEST_PATH_IMAGE037
Wherein the content of the first and second substances,
Figure 389087DEST_PATH_IMAGE084
representing a matrix of synthetic image pixels
Figure 749530DEST_PATH_IMAGE036
To (1) a
Figure 353687DEST_PATH_IMAGE017
The integrated value of the individual positions is,
Figure 39752DEST_PATH_IMAGE039
representative image pixel matrix
Figure 328694DEST_PATH_IMAGE002
To middle
Figure 633773DEST_PATH_IMAGE046
The optimization coefficients of the individual channels are,
Figure 623595DEST_PATH_IMAGE041
representative image pixel matrix
Figure 214982DEST_PATH_IMAGE002
To middle
Figure 391885DEST_PATH_IMAGE085
The optimization coefficients of the individual channels are,
Figure 687606DEST_PATH_IMAGE043
representative image pixel matrix
Figure 142988DEST_PATH_IMAGE002
To middle
Figure 311801DEST_PATH_IMAGE004
The optimization coefficients of the individual channels are,
Figure 569476DEST_PATH_IMAGE044
image pixel matrix
Figure 481937DEST_PATH_IMAGE002
To (1) a
Figure 774247DEST_PATH_IMAGE017
To a position of
Figure 441858DEST_PATH_IMAGE046
The value of the channel is such that,
Figure 333633DEST_PATH_IMAGE086
image pixel matrix
Figure 643261DEST_PATH_IMAGE002
To (1) a
Figure 462181DEST_PATH_IMAGE017
To a position of
Figure 566272DEST_PATH_IMAGE085
The value of the channel is such that,
Figure 939485DEST_PATH_IMAGE049
image pixel matrix
Figure 318383DEST_PATH_IMAGE002
To (1) a
Figure 313846DEST_PATH_IMAGE017
To a position of
Figure 729784DEST_PATH_IMAGE004
The value of the channel;
step A3, the integrated image pixel matrix is then
Figure 793555DEST_PATH_IMAGE036
Is divided into
Figure 382668DEST_PATH_IMAGE051
Each square matrix has equal size, and the number of rows and columns of each square matrix is
Figure 441760DEST_PATH_IMAGE052
When dividing, the number of rows or columns of a square matrix is insufficient
Figure 825337DEST_PATH_IMAGE052
For use at night
Figure 173141DEST_PATH_IMAGE087
Fill-in, synthesize the image pixel matrix using the following formula
Figure 893842DEST_PATH_IMAGE088
The comprehensive value of the pixel at each position is subjected to resolution information for difference enhancement, so that an image pixel matrix after image enhancement is obtained
Figure 610037DEST_PATH_IMAGE057
：
Figure 633356DEST_PATH_IMAGE089
Wherein the content of the first and second substances,
Figure 327512DEST_PATH_IMAGE090
representing an enhanced image pixel matrix
Figure 727269DEST_PATH_IMAGE057
To (1) a
Figure 698636DEST_PATH_IMAGE017
The value of the individual position is,
Figure 751912DEST_PATH_IMAGE056
representing a matrix of synthetic image pixels
Figure 950941DEST_PATH_IMAGE091
To (1) a
Figure 888810DEST_PATH_IMAGE017
The value of the individual position is,
Figure 573739DEST_PATH_IMAGE092
represents
Figure 938861DEST_PATH_IMAGE093
Taking the value as an image pixel matrix
Figure 873188DEST_PATH_IMAGE036
After cutting
Figure 83589DEST_PATH_IMAGE094
All positions contained in the square matrix of the position, the number of rows and the number of columns of the square matrix are
Figure 160042DEST_PATH_IMAGE052
，
Figure 555120DEST_PATH_IMAGE061
Represents a preset adjustment coefficient, and generally takes the value of
Figure 852109DEST_PATH_IMAGE062
Nearby, the matrix
Figure 990835DEST_PATH_IMAGE057
And the corresponding image is the image after image enhancement, and the enhanced image is integrated to form the enhanced video playing content.
8. The intelligent control method for the intelligent television set according to claim 6, wherein the method further comprises: monitoring the change of the ambient brightness through a brightness monitoring module, and transmitting the monitored ambient brightness value to a second control module; and receiving the environment brightness value monitored by the brightness monitoring module through the second control module, comparing the received environment brightness value with the set brightness threshold value, and controlling the image module to adjust the image brightness according to the comparison result.
9. The intelligent control method for the intelligent television as claimed in claim 8, wherein the controlling the image module to adjust the brightness of the image according to the comparison result comprises:
step a1, global brightness enhancement processing is performed on the brightness component of the video playing content by using the following formula:
Figure 791301DEST_PATH_IMAGE095
wherein the content of the first and second substances,
Figure 357280DEST_PATH_IMAGE064
represents the global brightness adjusted brightness function,
Figure 729181DEST_PATH_IMAGE065
represents the coefficient of variation of the Gamma, and represents,
Figure 812544DEST_PATH_IMAGE066
represents the original luminance component of the video playback content,
Figure 326571DEST_PATH_IMAGE067
represents the standard deviation value of a gaussian function,
Figure 938818DEST_PATH_IMAGE068
represents a natural constant of the natural gas,
Figure 803874DEST_PATH_IMAGE069
represents the function of an index, and represents,
Figure 549982DEST_PATH_IMAGE096
representing pixels of an imageCoordinates;
step a2, after performing global brightness enhancement processing on the brightness component of the video playing content, performing saturation enhancement processing according to the following formula:
Figure 59461DEST_PATH_IMAGE097
wherein the content of the first and second substances,
Figure 238682DEST_PATH_IMAGE072
represents the enhanced saturation component and is,
Figure 325455DEST_PATH_IMAGE073
representing the original saturation component of the video playback content,
Figure 485041DEST_PATH_IMAGE074
which is representative of the value of the parameter,
Figure 504819DEST_PATH_IMAGE098
representing the average brightness of the illumination information.
10. The intelligent control method for the intelligent television set according to claim 6, wherein the method further comprises: and receiving the environment brightness value monitored by the brightness detection module through the third control module, comparing the received environment brightness value with the set brightness adjustment threshold value, and controlling the sound module to adjust the playing volume according to the comparison result.
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