CN108259872B - Method and device for detail enhancement of CVBS (composite video broadcast Signal) - Google Patents
Method and device for detail enhancement of CVBS (composite video broadcast Signal) Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/64—Circuits for processing colour signals
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- H—ELECTRICITY
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/004—Diagnosis, testing or measuring for television systems or their details for digital television systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/44—Receiver circuitry for the reception of television signals according to analogue transmission standards
- H04N5/57—Control of contrast or brightness
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
Abstract
The invention provides a method for enhancing details of a CVBS (composite video signal-broadcast Signal), which comprises the steps of detecting the voltage of the CVBS, obtaining the voltage amplitude distribution of the CVBS, carrying out gray value conversion, obtaining gray distribution, and expanding the gray distribution of the CVBS according to the exceeded gray value when the gray value in the gray distribution exceeds a preset distribution interval, thereby enhancing over-bright and (or) over-dark details, improving the contrast of an image and optimizing the display effect.
Description
Technical Field
The present disclosure relates to the field of television application technologies, and in particular, to a method and an apparatus for enhancing details of a CVBS signal.
Background
The television terminal receives video signals carrying broadcast television program contents through an antenna or a coaxial cable, and scans pixel points of a television screen through the video signals to generate images.
In the prior art, a video signal is used to scan pixels on a television screen to generate an image, and the video signal needs to be analyzed and converted. For CVBS (composite video broadcast signal), when being processed in a chip, the CVBS needs to be converted into YCbCr signals for processing, the signal range of the YCbCr signals is 16-235, then the mode signals are processed by synchronous level amplitude, clamp voltage selection, transmission video amplitude nonstandard, AGC gain and the like, the transmission and analysis processes of the mode signals are complex, the signals which are basically required to be 16-235 have overflow, namely <16 or >235, when the CVBS has overflow, the signals which exceed 16-235 are compressed to the range of 16-235, so that bright and dark details are oversaturated (namely, the signals can be over-black or over-bright), when being processed by dynamic contrast after the follow-up A/D conversion, the signals are amplified to the gray scale range of 0-255 for processing, and the amplification mode is as follows: the magnification of Yout1 (Yin-16) × (255/219) still does not consider the overflow portion, and the brightness deviation is more magnified after the contrast adjustment, which causes the overexposure problem in the display. Therefore, the highlight and/or low-highlight details of the CVBS are lost, the contrast of the picture is affected, and the display effect is reduced.
Disclosure of Invention
In order to solve the problem of loss of details of a CVBS signal in the related art, the present disclosure provides a method and apparatus for enhancing details of a CVBS signal.
A method for CVBS signal detail enhancement, the method comprising:
detecting the voltage of the CVBS to obtain the voltage amplitude distribution of the CVBS;
performing gray value conversion on the voltage amplitude in the voltage amplitude distribution to obtain the gray distribution of the CVBS;
and when the gray value in the gray distribution exceeds a preset distribution interval, expanding the gray distribution of the CVBS according to the exceeded gray value.
An apparatus for detail enhancement of a CVBS signal, the apparatus comprising:
the detection module is used for detecting the voltage of the CVBS to obtain the voltage amplitude distribution of the CVBS;
the conversion module is used for carrying out gray value conversion on the voltage amplitude in the voltage amplitude distribution to obtain the gray distribution of the CVBS;
and the expansion module is used for expanding the gray distribution of the CVBS according to the exceeded gray value when the gray value in the gray distribution exceeds a preset distribution interval.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: the voltage of the CVBS is detected, the voltage amplitude distribution of the CVBS is obtained, gray level conversion is carried out, gray level distribution is obtained, when the gray level value in the gray level distribution exceeds a preset distribution interval, the gray level distribution of the CVBS is expanded according to the exceeding gray level value instead of being expanded according to a preset fixed mode, brightness supersaturation caused by the overflow part of a compressed signal is avoided, over-bright and/or over-dark details are enhanced, the contrast ratio of an image is improved, and the display effect is optimized.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a flowchart illustrating a CVBS signal detail enhancement method according to an exemplary embodiment.
Fig. 2 is a flowchart illustrating a detail enhancement of a CVBS signal according to another exemplary embodiment.
Fig. 3 is a flowchart illustrating a specific implementation of step 1500 in the method according to the corresponding embodiment in fig. 1.
Fig. 4 is a block diagram illustrating a CVBS signal detail enhancement apparatus according to an exemplary embodiment.
Fig. 5 is a block diagram illustrating a CVBS signal detail enhancing apparatus according to another exemplary embodiment.
Fig. 6 is a block diagram of an expansion module in the apparatus shown in the corresponding embodiment in fig. 4.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
Fig. 1 is a flow chart illustrating a method of improving image contrast in accordance with an exemplary embodiment. As shown in fig. 1, the method includes, but is not limited to, the following steps:
in step 1100, the voltage of the CVBS signal is detected, and the voltage amplitude distribution of the CVBS signal is obtained.
The CVBS signal is a composite synchronous video broadcast signal, which is a video signal that a television terminal receives and carries television program content. And the television or other visual terminals scan the pixel points in the screen through the video signals to generate images.
Specifically, detecting the voltage of the CVBS signal is done by using the video signal. When the video signal scans the pixel point, the voltage signal of the video signal is adopted and converted into a digital signal so as to record the voltage of the video signal at the current moment. By continuously applying the video signal, the voltage amplitude distribution of the video signal can be obtained.
The voltage amplitude distribution of the video signal is obtained by detecting the voltage of the video signal, so that the gray value distribution of pixel points in an image can be determined according to the voltage amplitude distribution of the video signal.
In step 1300, the voltage amplitude in the voltage amplitude distribution is subjected to gray scale value conversion to obtain the gray scale distribution of the CVBS signal.
And scanning pixel points in the image one by one through the video signal to generate an image. The voltage amplitude of the video signal determines the gray value of any scanned pixel. Therefore, the gray value distribution of the pixels in the image is determined by the voltage amplitude distribution of the video signal. The gray value distribution of the pixel points in the image can be obtained by performing gray value conversion on the voltage amplitude in the voltage amplitude distribution.
Specifically, the voltage level between 0 level and 1 level of the CVBS signal is divided into 256 voltage amplitude levels, each of which corresponds to one gray scale value. Thus, 256 voltage amplitude levels correspond to 256 gray scale values, respectively.
Further, an X level is preselected between the 0 level and the 1 level of the CVBS signal. The voltage level from the X level to the 1 level is evenly divided into 256 voltage amplitude levels, and each voltage amplitude level corresponds to one gray value. At this time, the gradation value corresponding to the X level is 0 (the image is black); the 1 level corresponds to a gradation value of 255 (the image is white). The middle voltage amplitude levels correspond to gray scale values 2 to 254, respectively. While the voltage amplitude below the X level corresponds to an invalid gray value or alternatively to a gray value of 0 (the image is black).
The gray value distribution of the pixel points in the image can be obtained by performing gray value conversion on the voltage amplitude in the voltage amplitude distribution. According to the obtained gray value distribution, whether the gray value of the pixel point in the image exceeds a preset range can be judged, and then corresponding processing can be carried out on the gray value exceeding the preset range.
In step 1500, when the gray values in the gray distribution exceed a preset distribution interval, the gray distribution of the CVBS signal is expanded according to the exceeded gray values.
And when the gray distribution exceeds a preset distribution interval, expanding the gray distribution of the pixel points in the image.
The preset distribution interval refers to a preset gray distribution range of the image. When the gray value of the pixel point exceeds the maximum endpoint value or the minimum endpoint value of the preset distribution interval, the brightness of the image may be oversaturated.
Highlight pixel points, namely pixel points with the gray value larger than the maximum endpoint value of a preset distribution interval in the image; and low-brightness pixel points, namely pixel points of which the gray values are smaller than the minimum endpoint value of the preset distribution interval in the image.
When the number of the pixel points in the highlight interval in the image is too large, the image is over saturated in the highlight range, so that the highlight saturation of the image is caused; when the number of the pixel points in the low-brightness interval in the image is too large, the image is over saturated in the low-brightness range, and the low-brightness saturation of the image is caused.
Therefore, whether the image is highlighted and saturated or not can be judged according to whether the gray distribution in the image has highlighted pixel points or low-highlighted pixel points. And when the gray value in the gray distribution exceeds a preset distribution interval, expanding the gray distribution of the pixel points in the image according to the exceeded gray value.
In a specific application scenario, the preset gray distribution interval is within a range of 16 to 235. When the maximum gray value of the pixel points in the image is greater than 235, or the minimum gray value is less than 16, whether the gray distribution in the image has high-brightness pixel points or low-brightness pixel points is judged, namely, the image has high-brightness saturation or low-brightness saturation. By expanding the gray value distribution of the pixel points, the gray value distribution is expanded from the range of 16-235 to the range of 0-255, so that the distribution of highlight pixel points or low-brightness pixel points in the gray value distribution is more uniform, and the contrast of the image is improved.
And obtaining the voltage amplitude distribution of the video signal by detecting the voltage of the video signal, and performing gray value conversion on the voltage amplitude in the voltage amplitude distribution to obtain the gray value distribution of the pixel points in the image. When the image has the high-brightness pixel points, the gray value distribution of the pixel points is expanded, so that the gray value of the pixel points in the high-brightness interval in the image is prevented from exceeding a preset range, and the contrast of the image in the high-brightness interval is improved.
Another exemplary embodiment shows a method for enhancing details of a CVBS signal, where after gray scale value conversion is performed on voltage amplitude in voltage amplitude distribution to obtain gray scale distribution of pixel points in an image, the method further includes: and when the gray value in the gray distribution does not exceed a preset distribution interval, expanding the gray distribution of the pixel points in the image according to a preset maximum gray distribution range.
In a specific embodiment, the preset maximum gray scale distribution range depends on the accuracy of the analog-to-digital converter employed by the television system. The analog-to-digital converter is used for sampling the video voltage signal and performing analog-to-digital conversion on the voltage signal obtained by the analog-to-digital converter. For an 8-bit analog-to-digital converter, the preset maximum gray scale distribution range is 0 to 255. And when the gray value in the gray distribution does not exceed the preset distribution interval from 0 to 255, expanding the gray value distribution of the video signal from 16 to 235 to 0 to 255. The expansion formula of the gray value distribution is as follows:
Yout1＝(Yin-16)*(255/219)
where Yin represents the gray value distribution before expansion, and Yout1 represents the gray value distribution after expansion.
Fig. 2 is a flowchart illustrating an implementation of a CVBS signal enhancement method according to another exemplary embodiment.
In step 1410, the maximum and minimum grayscale values in the grayscale distribution are obtained.
When the maximum gray value exceeds the preset distribution interval, acquiring the maximum gray value and the minimum gray value in the gray distribution; or when the minimum gray value exceeds the preset distribution interval, determining that the gray distribution exceeds the preset distribution interval.
When the number of the pixel points in the highlight region in the image is too large, the brightness of the image in the highlight range is too saturated, and the contrast of the image is poor.
Therefore, whether the gray value distribution of the image needs to be processed can be determined according to the number of the pixel points of the image with the gray value in the high-brightness interval.
In step 1430, it is determined whether the gray distribution exceeds a preset distribution interval.
Acquiring a maximum gray value and a minimum gray value in gray distribution, and when the maximum gray value exceeds a preset distribution interval; or when the minimum gray value exceeds a preset distribution interval, determining that the gray distribution exceeds the preset distribution interval.
In a specific application scene, the preset distribution interval of the pixels in the image is 16-235, and when the maximum gray value of the pixels in the image is higher than 225, or the minimum gray value exceeds less than 16, whether the gray distribution exceeds the preset distribution interval can be determined.
Fig. 3 is a flowchart illustrating a specific implementation of step 1500 in the method according to the corresponding embodiment in fig. 1.
In step 1510, the gray scale distribution is expanded according to the maximum gray scale value.
When the maximum gray value is greater than the maximum endpoint value of the preset distribution interval and when the minimum gray value is greater than the preset value, in step 1510, the gray distribution is expanded according to the maximum gray value.
In a specific embodiment, the preset distribution interval of the pixels in the image is 16 to 235, the maximum endpoint value of the preset distribution interval is 235, and the minimum endpoint value is 16. When the maximum gray value in the gray distribution is greater than the maximum endpoint value 235 and the minimum gray value is greater than the minimum endpoint value 16.
At this time, the gray scale distribution is expanded according to the maximum gray scale value 235, and the expansion formula of the gray scale distribution is as follows:
Yout1＝(Yin-16)*(255/(Max-16))
where Yin represents the gray-scale value distribution before expansion, Yout1 represents the gray-scale value distribution after expansion, and Max represents the maximum gray-scale value in the gray-scale distribution.
According to the above manner, for the pixel points with the gray values greater than the end point value 235 in the gray distribution, compared with the pixel points with the gray values greater than the end point value 235 according to the previous expansion formula Yout1 (Yin-16) × (255/219), the pixel points are not all expanded to the gray level 255, but are sequentially expanded to between 235 and 255, and only the pixel point with the maximum gray value is expanded to the gray level 255, so that the details of the highlight part are enhanced, the highlight saturation is avoided, and the contrast is improved.
In step 1530, the gray distribution is expanded according to the minimum gray value.
And when the maximum gray value is smaller than the maximum end point value of a preset distribution interval and the minimum gray value is smaller than the minimum end point value of the preset distribution interval, expanding the gray distribution according to the minimum gray value.
In a specific embodiment, the preset distribution interval of the pixel points in the image is 16 to 235, when the maximum gray value in the gray distribution is less than the maximum endpoint value 235 and the minimum gray value is less than the minimum endpoint value 16, the gray distribution is expanded according to the minimum gray value, and the expansion formula of the gray distribution is as follows:
Yout1＝(Yin-Min)*(255/(235-Min))
where Yin represents the gray-scale value distribution before expansion, Yout1 represents the gray-scale value distribution after expansion, and Min represents the minimum gray-scale value in the gray-scale distribution.
According to the above manner, for the pixel points with the gray values smaller than the end point value 16 in the gray distribution, compared with the pixel points with the gray values smaller than the end point value 16 according to the previous expansion formula Yout1 (Yin-16) × (255/219), the pixel points are not all expanded to the gray level 0, but are sequentially expanded to between 0 and 16, and only the pixel point with the minimum gray value is expanded to the gray level 0, so that the details of the low-brightness part are enhanced, the low-brightness saturation is avoided, and the contrast is improved.
In another exemplary embodiment, a method for CVBS signal enhancement is provided, where gray distribution exceeds a preset distribution interval, the gray distribution of a pixel point in an image is expanded, and where a maximum gray value is greater than a maximum endpoint value of the preset distribution interval and a minimum gray value is less than a minimum endpoint value of the preset distribution interval, the gray distribution is expanded according to the maximum gray value and the minimum gray value.
In a specific embodiment, the preset gray scale interval is 16 to 235. When the maximum gray value in the gray distribution is greater than 235 and the minimum gray value in the gray distribution is less than 16, the expansion formula of the gray distribution is as follows:
Yout1＝(Yin-Min)*(255/(Max-Min))
where Yin represents the gray-scale value distribution before expansion, Yout1 represents the gray-scale value distribution after expansion, Max represents the maximum gray-scale value in the gray-scale distribution, and Min represents the minimum gray-scale value in the gray-scale distribution.
According to the above manner, for the pixels with the gray value smaller than the end point value 16 and the pixels with the gray value larger than the end point value 235 in the gray distribution, compared with the previous expansion formula of Yout1 (Yin-16) × (255/219), the pixels are not respectively and completely expanded to the gray levels 0 and 255, but are sequentially expanded to the gray levels 0-16 and 235-255, and only the pixel with the minimum gray level is expanded to the gray level 0 and the pixel with the maximum gray level is expanded to the gray level 255, so that the details of the high-brightness part and the low-brightness part are enhanced, the high-brightness saturation and the low-brightness saturation are avoided, and the contrast is improved.
Fig. 4 is a block diagram illustrating an apparatus for detail enhancement of a CVBS signal according to an exemplary embodiment. As shown in fig. 4, the apparatus includes, but is not limited to: a detection module 6100, a conversion module 6300, and an expansion module 6500.
A detecting module 6100, configured to detect a voltage of the CVBS signal, to obtain a voltage amplitude distribution of the CVBS signal;
a conversion module 6300, configured to perform gray scale value conversion on the voltage amplitude in the voltage amplitude distribution to obtain a gray scale distribution of the CVBS signal;
an expanding module 6500, configured to expand the gray scale distribution of the CVBS signal according to the exceeded gray scale value when the gray scale value in the gray scale distribution exceeds a preset distribution interval.
Another exemplary embodiment shows that the apparatus for enhancing details of a CVBS signal further includes a standard expansion module, configured to expand the gray scale distribution of the pixel points in the image according to a preset maximum gray scale distribution range when the gray scale value in the gray scale distribution does not exceed the preset distribution interval.
Fig. 5 is a block diagram illustrating a CVBS signal detail enhancing apparatus according to another exemplary embodiment. As shown in fig. 5, the apparatus for improving image contrast further includes: search module 6410, determine module 6430.
A search module 6410, configured to search for a maximum grayscale value and a minimum grayscale value in the grayscale distribution;
the determining module 6430 further determines that the maximum gray-level value exceeds the preset distribution interval; or when the minimum gray value exceeds the preset distribution interval, determining that the gray distribution exceeds the preset distribution interval.
FIG. 6 is a block diagram of the apparatus of FIG. 4 in one embodiment. As shown in fig. 6, the setting further includes: a high bright expansion sub-module 6510 and a low bright expansion sub-module 6530.
The highlight expansion sub-module 6510 is configured to expand the gray distribution according to the maximum gray value when the maximum gray value is greater than a maximum endpoint value of the preset distribution interval and when the minimum gray value is greater than a minimum endpoint value of the preset distribution interval;
and the low-brightness expansion sub-module 6530 is configured to expand the gray distribution according to the minimum gray value when the maximum gray value is smaller than a maximum endpoint value of the preset distribution interval and when the minimum gray value is smaller than a minimum endpoint value of the preset distribution interval.
Another exemplary embodiment shows that the CVBS signal detail enhancement apparatus further includes an average expansion sub-module, configured to expand the gray scale distribution according to the maximum gray scale value and the minimum gray scale value when the maximum gray scale value is greater than a maximum endpoint value of the preset distribution interval and when the minimum gray scale value is less than a minimum endpoint value of the preset distribution interval.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (10)
1. A method for CVBS signal detail enhancement, the method comprising:
detecting the voltage of the CVBS to obtain the voltage amplitude distribution of the CVBS;
performing gray scale value conversion on the voltage amplitude in the voltage amplitude distribution to obtain the gray scale distribution of the CVBS, wherein the performing gray scale value conversion on the voltage amplitude in the voltage amplitude distribution comprises: uniformly dividing the voltage level between 0 level and 1 level of the CVBS into a plurality of voltage amplitude levels, wherein each voltage amplitude level corresponds to a gray value;
and when the gray value in the gray distribution exceeds a preset distribution interval, expanding the gray distribution of the CVBS according to the exceeded gray value to obtain an expanded value, wherein different gray values correspond to different expanded values.
2. The method as claimed in claim 1, wherein after the gray scale conversion of the voltage amplitude in the voltage amplitude distribution to obtain the gray scale distribution of the CVBS signal, the method further comprises:
and when the gray value in the gray distribution does not exceed a preset distribution interval, expanding the gray distribution of the CVBS according to a preset maximum gray distribution range.
3. The method according to claim 1, wherein before the extending the gray distribution of the CVBS signal according to the exceeded gray value when the gray value in the gray distribution exceeds a preset distribution interval, the method further comprises:
acquiring a maximum gray value and a minimum gray value in the gray distribution;
when the maximum gray value exceeds the preset distribution interval;
or when the minimum gray value exceeds the preset distribution interval, determining that the gray distribution exceeds the preset distribution interval.
4. The method according to claim 3, wherein when the gray values in the gray distribution exceed a preset distribution interval, the expanding the gray distribution of the CVBS according to the exceeded gray values comprises:
when the maximum gray value is larger than the maximum endpoint value of the preset distribution interval and the minimum gray value is larger than the minimum endpoint value of the preset distribution interval, expanding the gray distribution according to the maximum gray value;
and when the maximum gray value is smaller than the maximum endpoint value of the preset distribution interval and the minimum gray value is smaller than the minimum endpoint value of the preset distribution interval, expanding the gray distribution according to the minimum gray value.
5. The method according to claim 3, wherein when the gray values in the gray distribution exceed a preset distribution interval, the gray distribution of the CVBS is expanded according to the exceeded gray values, and the method further comprises:
and when the maximum gray value is larger than the maximum endpoint value of the preset distribution interval and the minimum gray value is smaller than the minimum endpoint value of the preset distribution interval, expanding the gray distribution according to the maximum gray value and the minimum gray value.
6. An apparatus for detail enhancement of a CVBS signal, the apparatus comprising:
the detection module is used for detecting the voltage of the CVBS to obtain the voltage amplitude distribution of the CVBS;
a conversion module, configured to perform gray scale value conversion on the voltage amplitude in the voltage amplitude distribution to obtain a gray scale distribution of the CVBS signal, where the performing gray scale value conversion on the voltage amplitude in the voltage amplitude distribution includes: uniformly dividing the voltage level between 0 level and 1 level of the CVBS into a plurality of voltage amplitude levels, wherein each voltage amplitude level corresponds to a gray value;
and the expansion module is used for expanding the gray distribution of the CVBS according to the exceeded gray value when the gray value in the gray distribution exceeds a preset distribution interval to obtain an expansion value, wherein different gray values correspond to different expansion values.
7. The apparatus of claim 6, further comprising:
and the standard expansion module is used for expanding the gray distribution of the CVBS according to a preset maximum gray distribution range when the gray value in the gray distribution does not exceed a preset distribution interval.
8. The apparatus of claim 6, further comprising:
the acquisition module is used for acquiring the maximum gray value and the minimum gray value in the gray distribution;
the determining module is used for determining whether the maximum gray value exceeds the preset distribution interval; or when the minimum gray value exceeds the preset distribution interval, determining that the gray distribution exceeds the preset distribution interval.
9. The apparatus of claim 8, wherein the expansion module further comprises:
the highlight expansion submodule is used for expanding the gray distribution according to the maximum gray value when the maximum gray value is greater than the maximum endpoint value of the preset distribution interval and when the minimum gray value is greater than the minimum endpoint value of the preset distribution interval;
and the low-brightness expansion sub-module is used for expanding the gray distribution according to the minimum gray value when the maximum gray value is smaller than the maximum endpoint value of the preset distribution interval and when the minimum gray value is smaller than the minimum endpoint value of the preset distribution interval.
10. The apparatus of claim 8, wherein the expansion module further comprises: and the average expansion sub-module is used for expanding the gray distribution according to the maximum gray value and the minimum gray value when the maximum gray value is greater than the maximum endpoint value of the preset distribution interval and the minimum gray value is less than the minimum endpoint value of the preset distribution interval.
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Address after: 266000, No. 218, Bay Road, Qingdao economic and Technological Development Zone, Shandong Applicant after: Hisense Video Technology Co., Ltd Address before: 266599, No. 218, Bay Road, Qingdao economic and Technological Development Zone, Shandong Applicant before: HISENSE ELECTRIC Co.,Ltd. |
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