Data signal automatic adjustment method and system, storage medium and electronic equipment

Abstract

The invention belongs to the technical field of data processing, and particularly relates to a data signal automatic adjusting method and system, a storage medium and electronic device.The data signal automatic adjusting method comprises the steps that a baseband signal is prepared, specifically, the baseband signal serves as an original information signal and comprises an image, the baseband signal is converted into a propagation type high-frequency modulated signal, and the propagation type high-frequency modulated signal is sent to the electronic device; the amplitude, the phase and the frequency of the high-frequency carrier wave are changed along with the change of the baseband signal, so that the information is transmitted; modulation type: the modulation signal is divided into analog modulation and digital modulation; wherein the analog modulation comprises amplitude modulation, frequency modulation and phase modulation; the amplitude modulation transmits information by changing the amplitude of the carrier signal; the frequency modulation transmits information by changing the frequency of the carrier signal; the device solves the problem that the transmitted image is distorted and blurred due to the fact that high-precision filtering cannot be carried out on the quality of the image when the current data signal is transmitted.

Description

Technical Field

[0001] The present invention belongs to the technical field of data processing, and particularly relates to a method, a system, a storage medium and an electronic device for automatically adjusting data signals. Background Art

[0002] Data signals include various types, mainly including the following: binary signals, multi - level signals, digital representations of analog signals, time - domain signals, frequency - domain signals, discrete signals, digital audio signals, digital video signals, and digital image signals. For the transmission of image signals, filtering is required during the process. Image noise always accompanies various noises during transmission, such as thermal noise, electromagnetic interference, quantization noise, etc. These noises will obscure useful signals, resulting in a decrease in the accuracy of signal detection and parameter estimation. Filtering can effectively ensure the quality of image transmission. However, the current selection of filtering intensity is relatively single and cannot automatically adjust the filtering intensity. On the one hand, it is easy to cause image distortion and blurring, and on the other hand, it is easy to cause insufficient filtering, affecting the quality of image transmission. This phenomenon has become an urgent problem to be solved by those skilled in the art. Summary of the Invention

[0003] The purpose of the present invention is to provide a method, a system, a storage medium and an electronic device for automatically adjusting data signals to solve the problems raised in the above - mentioned background art.

[0004] To solve the above - mentioned technical problems, the present invention provides the following technical solutions: A method, a system, a storage medium and an electronic device for automatically adjusting data signals, used for a data signal automatic adjustment system. The data signal automatic adjustment method includes: Baseband signal preparation: The baseband signal, as the original information signal, including images, is converted into a propagated high - frequency modulated signal. By changing the amplitude, phase and frequency of the high - frequency carrier, and changing with the change of the baseband signal, information is transmitted; Modulation type: Modulation signals are divided into analog modulation and digital modulation; Among them, the analog modulation includes amplitude modulation, frequency modulation and phase modulation; The amplitude modulation transmits information by changing the amplitude of the carrier signal; The frequency modulation transmits information by changing the frequency of the carrier signal; The phase modulation transmits information by changing the phase of the carrier signal; Among them, the digital modulation includes amplitude - shift keying, frequency - shift keying, phase - shift keying and quadrature amplitude modulation, and uses a digital baseband signal to control the amplitude, frequency and phase of the modulated signal to transmit digital information.

[0005] Preferably, the analog modulation is used simultaneously, including a number of filters of different models for denoising the video; the image includes animated images and static images, and the filter selection when transmitting the image includes the following steps: Step S1, select the filtering intensity according to the complexity of the transmitted image and correspondingly select the filter; Step S2, optimize the filtering intensity once according to the image size and reselect the filter, and enter Step S3 when the image is an animated image; Step S3, optimize the filtering intensity twice, optimize the filtering intensity three times according to the length of the dynamic time, optimize the filtering intensity four times according to the action complexity within the dynamic time, and update the filtering intensity after the fourth optimization according to the action complexity within the dynamic time and the complexity of the image, and finally correspondingly select the filter.

[0006] Preferably, when the image is a static image: the image complexity includes color, texture, and shape, and they are graded. The color, texture, and shape are graded from 1 to 10, and the complexity level is comprehensively determined; that is D is the image complexity, A is the complexity level of the color, B is the complexity level of the texture, C is the complexity level of the shape; dB = D * dB 系 , dB is the filtering intensity, dB 系 is the filtering intensity coefficient, dB1 = D * dB 系 +S * dB 系 , dB1 is the filtering intensity after the first optimization, and S is the image size.

[0007] Preferably, when the image is an animated image: dB2 = (D * dB 系 +S * dB 系 ), 2 , dB2 is the filtering intensity after the second optimization; then, dB3 = (D * dB 系 +S * dB 系 ), T , dB3 is the filtering intensity after the third optimization, and T is the duration of the dynamic time.

[0008] Preferably, when the image is an animated image: the action complexity within the dynamic time is graded, the action complexity is N, dB4 = (D * dB 系 +S * dB 系 ), T *N, and dB4 is the filtering intensity after the fourth optimization.

[0009] Preferably, when the image is an animated image: the filtering intensity after the fourth optimization is adjusted, and the action complexity within the dynamic time and the complexity of the image have a superimposed effect, that is, dB4 = (D * dB 系 *N+S * dB 系 ), T*N; that is, dB1 is adopted when the image is a still image, and dB4 is adopted when the image is a moving image.

[0010] Preferably, the data signal automatic adjustment system includes: an image recognition unit for recognizing whether the transmitted image information is a moving image or a still image; a complexity unit for recognizing the complexity of the moving image and the still image; a size recognition unit for recognizing the size of the moving image and the still image; a time recognition unit for recognizing the duration of the moving image; a filtering intensity calculation unit for calculating the filtering intensity; and a filter selection unit for selecting a filter according to the filtering intensity.

[0011] Preferably, the electronic device includes a processor and a memory. The memory is used to store the program code and data for automatic data adjustment, and the processor is used to call the program instructions in the memory to execute a data signal automatic adjustment method according to any one of claims 1-6.

[0012] Preferably, the storage medium includes a stored program, and the stored program is used to control the device where the storage medium is located to execute a data signal automatic adjustment method according to any one of claims 1-6.

[0013] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: The present invention calculates the filtering intensity according to the image complexity and image size, so as to select a suitable filter. The filtering intensity is automatically selected and adaptive. On the one hand, it can denoise the image process and improve the image transmission quality. On the other hand, it can avoid excessive signal distortion caused by too large an increase in the filtering intensity, resulting in inconsistent output signals and input signals.

[0014] When the image is a moving image, the filtering intensity during the moving image increases significantly, and the longer the time of the moving image, the greater the increase in the filtering intensity. On the one hand, it further improves the image quality. On the other hand, it controls the filtering intensity to avoid its value being too high, improves the information transmission stability, prevents the occurrence of over-smoothing phenomena, and the higher the action complexity within the dynamic time, the greater the increase in the image noise, so that the filtering intensity is greatly enhanced, fully improving the image transmission quality to ensure that the output information and the input information are relatively consistent and no image distortion occurs.

[0015] The action complexity within the dynamic time is high, and the image is also relatively complex at the same time. At this time, the data of the filtering intensity is adjusted to further improve the data accuracy of the filtering intensity, ensure that the filtering intensity corresponds to the image parameters, reduce noise interference, and the stable filtering intensity can ensure that while removing noise, it will not introduce too much blur effect, maintain the detail features of the image, enhance the visual effect, reduce the "jitter" phenomenon caused by noise, enhance the visual effect, and the stable filtering process can be used as a preprocessing step to provide a more reliable basis for subsequent image analysis and recognition tasks. Brief Description of the Drawings

[0016] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention, but do not constitute a limitation to the present invention. In the drawings:

[0017] Figure 1 is a schematic diagram of the steps of the method for automatically adjusting data signals of the present invention;

[0018] Figure 2 is a schematic diagram of the steps for selecting a filter of the present invention;

[0019] Figure 3 is a schematic diagram of the unit connection relationship of the data signal automatic adjustment system of the present invention. Detailed Description of the Embodiments

[0020] The following further non-limiting detailed description of the technical solution of the present invention is provided in conjunction with the preferred embodiments and their accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0021] Please refer to Figures 1 - 3 , the present invention provides a technical solution: a method, system, storage medium and electronic device for automatically adjusting data signals, used for a data signal automatic adjustment system. The method for automatically adjusting data signals includes:

[0022] Baseband signal preparation: The baseband signal, as the original information signal including images, is converted into a propagated high-frequency modulated signal, and the information is transmitted by changing the amplitude, phase and frequency of the high-frequency carrier, which changes with the baseband signal;

[0023] Modulation type: The modulation signal is divided into analog modulation and digital modulation;

[0024] Among them, analog modulation includes amplitude modulation, frequency modulation and phase modulation;

[0025] Amplitude modulation transmits information by changing the amplitude of the carrier signal;

[0026] Frequency modulation transmits information by changing the frequency of the carrier signal;

[0027] Phase modulation transmits information by changing the phase of the carrier signal;

[0028] Among them, digital modulation includes amplitude shift keying, frequency shift keying, phase shift keying and quadrature amplitude modulation, and uses a digital baseband signal to control the amplitude, frequency and phase of the modulated signal to transmit digital information.

[0029] Analog modulation is used simultaneously, including several different types of filters for denoising videos.

[0030] The images include animated and static images. The filter selection when transmitting images includes the following steps:

[0031] Step S1: Select the filtering intensity according to the complexity of the transmitted image and correspondingly select a filter.

[0032] Step S2: Optimize the filtering intensity once according to the image size, reselect the filter, and enter Step S3 when the image is an animated image.

[0033] Step S3: Optimize the filtering intensity twice, optimize the filtering intensity three times according to the length of the dynamic time, optimize the filtering intensity four times according to the action complexity within the dynamic time, and update the filtering intensity after the fourth optimization according to the action complexity within the dynamic time and the complexity of the image. Finally, correspondingly select a filter.

[0034] When the image is a static image: The image complexity includes color, texture, and shape, and they are graded. The color, texture, and shape are graded from 1 to 10, and the complexity level is comprehensively determined.

[0035] That is D is the image complexity, A is the complexity level of the color, B is the complexity level of the texture, and C is the complexity level of the shape.

[0036] dB = D * dB 系 , where dB is the filtering intensity, and dB 系 is the filtering intensity coefficient, dB1 = D * dB 系 + S * dB 系 , where dB1 is the filtering intensity after the first optimization, and S is the image size.

[0037] According to the image complexity and image size, calculate the filtering intensity, so as to select a suitable filter. The filtering intensity is automatically selected and adaptive. On the one hand, it can denoise the image process and improve the image transmission quality. On the other hand, it can avoid excessive signal distortion caused by too large a filtering intensity gain, resulting in inconsistent output and input signals.

[0038] When the image is an animated image: dB2 = (D * dB 系 + S * dB 系 ) 2 , where dB2 is the filtering intensity after the second optimization.

[0039] Subsequently, dB3 = (D * dB 系 + S * dB 系 ) T, dB3 is the filtering intensity after the third optimization, and T is the dynamic time duration;

[0040] When the image is an animated image, the filtering intensity during the animated image is greatly increased, and the longer the time of the animated image, the greater the increase in the filtering intensity. On the one hand, the image quality is further improved, and on the other hand, the filtering intensity is controlled to avoid its value being too high, improve the information transmission stability, and prevent the occurrence of over-smoothing phenomena.

[0041] When the image is an animated image: The action complexity within the dynamic time is classified into levels. The action complexity is N, and dB4 = (D * dB 系 + S * dB 系 ) T * N, where dB4 is the filtering intensity after the fourth optimization;

[0042] When the image is an animated image, the higher the action complexity within the dynamic time, the greater the increase in its image noise, thus greatly enhancing the filtering intensity, fully improving the image transmission quality, ensuring that the output information and the input information are relatively consistent, and preventing the occurrence of image distortion.

[0043] When the image is an animated image: The filtering intensity after the fourth optimization is adjusted. The action complexity within the dynamic time and the complexity of the image have a superimposed effect, that is, dB4 = (D * dB 系 * N + S * dB 系 ) T * N;

[0044] That is, when the image is a static image, dB1 is used, and when the image is an animated image, dB4 is used;

[0045] When the action complexity within the dynamic time is high and the image is also relatively complex at the same time, the data of the filtering intensity is adjusted to further improve the data accuracy of the filtering intensity, ensure that the filtering intensity corresponds to the image parameters, reduce noise interference, and a stable filtering intensity can ensure that while removing noise, it will not introduce too much blurring effect, maintain the detailed features of the image, enhance the visual effect, reduce the "jitter" phenomenon caused by noise, enhance the visual effect, and stable filtering processing can be used as a preprocessing step to provide a more reliable basis for subsequent image analysis and recognition tasks.

[0046] The data signal automatic adjustment system includes: an image recognition unit for identifying whether the transmitted image information is an animated image or a static image; a complexity unit for identifying the complexity of animated images and static images; a size recognition unit for identifying the sizes of animated images and static images; a time recognition unit for identifying the duration of animated images; a filtering intensity calculation unit for calculating the filtering intensity; and a filter selection unit for selecting a filter according to the filtering intensity.

[0047] The electronic device includes a processor and a memory. The memory is used to store the program code and data for automatic adjustment of data. The processor is used to call the program instructions in the memory to execute a method for automatic adjustment of a data signal as described in any one of claims 1-6.

[0048] The storage medium includes a stored program. The stored program is used to control the device where the storage medium is located to execute a method for automatic adjustment of a data signal as described in any one of claims 1-6.

[0049] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "upper", "lower", "front", "rear", "left", "right", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation to the present invention.

[0050] Finally, it should be pointed out that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for automatically adjusting a data signal, characterized in that: Used in a data signal automatic adjustment system, the data signal automatic adjustment method comprises: Baseband signal preparation: The baseband signal is used as the original information signal, including the image. The baseband signal is converted into a propagation-type high-frequency modulated signal. The information is transmitted by changing the amplitude, phase and frequency of the high-frequency carrier and changing with the baseband signal. Modulation type: Modulation signals are divided into analog modulation and digital modulation; Wherein, the analog modulation includes amplitude modulation, frequency modulation and phase modulation; The amplitude modulation transmits information by changing the amplitude of the carrier signal; The frequency modulation transmits information by changing the frequency of the carrier signal; The phase modulation transmits information by changing the phase of the carrier signal; The digital modulation includes amplitude shift keying, frequency shift keying, phase shift keying and quadrature amplitude modulation, and uses a digital baseband signal to control the amplitude, frequency and phase of the modulated signal to transmit digital information.

2. A data signal automatic adjustment method according to claim 1, characterized in that: The analog modulation is used simultaneously, wherein several filters of different types are included, and the filters are used to denoise the video; The image includes a moving image and a static image, wherein the filter selection when transmitting the image includes the following steps: Step S1, selecting a filtering strength according to the complexity of the transmitted image, and selecting a filter accordingly; Step S2, optimize the filter strength once according to the image size, reselect the filter, and go to step S3 when the image is a moving picture; Step S3, optimize the filter strength twice, optimize the filter strength three times according to the length of the dynamic time, optimize the filter strength four times according to the complexity of the action within the dynamic time, and update the filter strength after four optimizations according to the complexity of the action within the dynamic time and the complexity of the image, and finally select the corresponding filter.

3. A data signal automatic adjustment method according to claim 2, characterized in that: When the image is a static image: the image complexity includes color, texture and shape, and they are graded. The color, texture and shape are graded from 1 to 10, and the complexity level is comprehensively determined; Right now D is the complexity of the image, A is the complexity level of the color, B is the complexity level of the texture, and C is the complexity level of the shape; dB=D*dB 系 , dB is the filter strength, dB 系 is the filter strength coefficient, dB1=D*dB 系 +S*dB 系 , dB1 is the filtering strength after one optimization, and S is the image size.

4. The method for automatically adjusting a data signal according to claim 2, characterized in that: When the image is a moving image: dB2 = (D*dB 系 +S*dB 系 ) 2 , dB2 is the filtering strength after secondary optimization; Then, dB3=(D*dB 系 +S*dB 系 ) T , dB3 is the filtering strength after three optimizations, and T is the duration of the dynamic time.

5. The method for automatically adjusting a data signal according to claim 2, characterized in that: When the image is a moving picture: the complexity of the action in the dynamic time is classified into levels, the complexity of the action is N, dB4 = (D*dB 系 +S*dB 系 ) T *N, dB4 is the filtering strength after four optimizations.

6. The method for automatically adjusting a data signal according to claim 2, characterized in that: When the image is a moving picture: the filter strength after four optimizations is adjusted, and the complexity of the action in the dynamic time and the complexity of the image are superimposed, that is, dB4 = (D*dB 系 *N+S*dB 系 ) T *N; That is, when the image is a static image, dB1 is used, and when the image is a dynamic image, dB4 is used.

7. A data signal automatic adjustment system, characterized in that: The data signal automatic adjustment system includes: an image recognition unit, used to identify whether the transmitted image information is a moving picture or a static picture; a complexity unit, used to identify the complexity of the moving picture and the static picture; a size recognition unit, used to identify the size of the moving picture and the static picture; a time recognition unit, used to identify the duration of the moving picture; a filter strength measurement unit, used to measure the filter strength; and a filter selection unit, used to select a filter according to the filter strength.

8. An electronic device, characterized in that: The electronic device comprises a processor and a memory, wherein the memory is used to store program codes and data for automatic data adjustment, and the processor is used to call program instructions in the memory to execute a data signal automatic adjustment method as described in any one of claims 1-6.

9. A storage medium, characterized in that: The storage medium includes a storage program, and the storage program is used to control the device where the storage medium is located to execute a data signal automatic adjustment method according to any one of claims 1-6.

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