CN113487522A - Multi-channel switching noise reduction method for image communication - Google Patents
- ️Fri Oct 08 2021
CN113487522A - Multi-channel switching noise reduction method for image communication - Google Patents
Multi-channel switching noise reduction method for image communication Download PDFInfo
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- CN113487522A CN113487522A CN202111046534.4A CN202111046534A CN113487522A CN 113487522 A CN113487522 A CN 113487522A CN 202111046534 A CN202111046534 A CN 202111046534A CN 113487522 A CN113487522 A CN 113487522A Authority
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Abstract
The invention discloses a multi-channel switching noise reduction method for image communication, which aims to solve the technical problem that the effect of data transmission is influenced because the noise reduction processing cannot be carried out on the image communication in the prior art. The noise reduction method comprises an image communication system for image communication, wherein the image communication system comprises an acquisition module for image acquisition, a conversion module for data conversion, an image processing module for data processing, a noise reduction module for data adjustment and an output module for data transmission. The noise reduction method carries out optimization processing on image data for image communication through mutual matching of the corresponding acquisition devices and the internal processing module, meanwhile, the internal noise reduction processing unit can also better reduce noise of images, and output of image data in different formats is carried out through matching of the internal multi-channel output unit, so that a user can further conveniently store the images, and the use convenience of the matching system is improved.
Description
Technical Field
The invention belongs to the technical field of image communication, and particularly relates to a multi-channel switching noise reduction method for image communication.
Background
Image communication is communication for transmitting and receiving image signals or image information, and is different from the currently widely used voice communication method in that not only voice but also visible information such as images, characters, diagrams, etc. is transmitted, the visible information is converted into an electric signal by an image communication apparatus to be transmitted, and the electric signal is reproduced at a receiving end, and it can be said that image communication is communication using visual information or communication called visual information, image signals contain extremely abundant information, and the amount of information transmitted by image communication is far more than that of other communication means.
At present, the invention patent with patent number CN202010177791.0 discloses a monitoring system and an image communication processing method thereof, which includes a photoelectric camera sensing module, a first communication module, a central processing module, a second communication module, a server module, an inquiry module, etc., the steps comprise that when a plurality of photoelectric camera sensing modules are arranged, after the photoelectric camera sensing modules send data to the first communication module, the central processing module judges and the like according to the predicted maximum resource of the first communication module link, obtains a new image actual edge point set by obtaining the picture processing of the defect occurrence position and judging and extracting the position of the pixel of the edge point in the image so as to improve the accuracy for subsequent analysis, on the basis of accurately acquiring the defect position, the product-defect association relation is expressed through big data analysis, and a solid foundation is laid for controlling the batch quality. However, this processing method does not help to reduce noise during communication, which affects the use.
In addition, the invention patent with patent number CN202010369315.9 discloses an artificial intelligence image communication system and method, including a matching circuit, the matching circuit is used for connecting and communicating with an intelligent terminal through a wireless channel, a processor is used for controlling the matching circuit to match and connect with the intelligent terminal, and is used for calling an image processing program to perform image processing on image information input by a camera to generate a feature map, and encode the feature map to generate a character string, and then send the character string to the intelligent terminal through an antenna through the matching circuit, the image communication system and method provided by the invention enable an external image input device and the intelligent terminal to be separately arranged, the external image input device transmits encoded information of the feature map, binary code streams to be transmitted are greatly reduced, wireless resources are greatly saved, but when the system is used, signal transmission is performed through a single channel, there are losses while working.
Therefore, in order to solve the problem that the transmission is affected because the image communication does not have the noise reduction processing, it is necessary to improve the use scene of the image communication.
Disclosure of Invention
(1) Technical problem to be solved
Aiming at the defects of the prior art, the invention aims to provide a multi-channel switching noise reduction method for image communication, which aims to solve the technical problems that the noise reduction processing cannot be carried out on the image communication in the prior art, the data transmission effect is influenced, and most of the image communication adopts single-channel transmission.
(2) Technical scheme
In order to solve the above technical problem, the present invention provides a multi-channel switching noise reduction method for image communication, the noise reduction method includes an image communication system for image communication, the image communication system includes an acquisition module for image acquisition, a conversion module for data conversion, an image processing module for data processing, a noise reduction module for data adjustment, and an output module for data transmission, and the acquisition module, the conversion module, the image processing module, the noise reduction module, and the output module are electrically connected to each other.
When the noise reduction method of the technical scheme is used, a user carries out image acquisition through an acquisition device on an acquisition terminal, simultaneously, a color acquisition unit and an action acquisition unit in the acquisition module record and acquire corresponding data, the acquired data are transmitted to a conversion module through a lead and enter data signals in the conversion module, electric signals generated by the acquired data are translated into digital signals through the conversion unit and are transmitted to a processing system through a transmission unit, when the received signals enter the image processing module, the user can adopt automatic adjustment processing to automatically adjust images through an internal sharpening adjustment unit, a brightness adjustment unit, a balance adjustment unit and a pixel conversion unit, and corresponding adjustment processing is carried out through an image optimization unit according to the shooting environments of different images, the adjustment of relevant numerical values can be manually carried out, image data subjected to image processing is subjected to image noise reduction through a noise reduction processing unit in the noise reduction module, the processed data is received through a data receiving unit in the output module, the data is subjected to conversion processing of different channels through a multi-channel conversion unit to generate a plurality of data, and the data is transmitted to the user terminal through the output unit, so that a user can select proper data in different channels according to use requirements and store the data.
Preferably, the acquisition module is arranged on an acquisition terminal, a color acquisition unit for color identification is arranged in the acquisition module, an action acquisition unit for action identification is arranged in the acquisition module, the acquisition module is arranged on a user image acquisition terminal, the action acquisition unit acquires actions of a user to be sensed to obtain an action acquisition signal, the action acquisition signal comprises a visual image signal and a force touch signal, the action acquisition signal is subjected to feature extraction to obtain an action static feature, the action static feature comprises a human body skeleton position feature and an action force feature, the action static feature is subjected to feature combination to obtain an action dynamic feature, the action dynamic feature comprises a human body skeleton feature sequence and an action force feature sequence, and the action feature of a key point of the user to be sensed is determined according to the action dynamic feature, performing feature fusion on the action features, the action static features and the action dynamic features of the key points to obtain action perception results, and obtaining a result through a formula:
t represents the time sequence of window time, wherein n is 0 or 20, n represents the positions of the first frame and the last frame in the window time, a is the moving distance of n in the time window, x and y represent feature points, the types of the images are identified and processed through the identification and the recording of the feature points, the images are processed through a subsequent processing module, meanwhile, when the noise reduction processing is carried out, the noise reduction processing is carried out according to the images with different features, the modification of the features during the noise reduction can be reduced, the accuracy of image transmission is better ensured, and the image identification processing is specifically as follows:
when the value of the action perception result A is less than or equal to the value 10, judging that the noise level R of the image does not need to be calculated;
and when the value of the motion perception result A is larger than the value 10, judging that the image needs to calculate the noise level R.
Preferably, a connection unit for data connection is arranged in the conversion module, a conversion unit for converting an electric signal into a digital signal is arranged in the conversion module, and a transmission unit for data transmission is arranged in the conversion module.
Preferably, a sharpening adjusting unit, a brightness adjusting unit, a balance adjusting unit and a pixel transformation unit for image adjustment are arranged in the image processing module, and an image optimizing unit for preprocessing an image is arranged in the image processing module.
Preferably, a noise reduction processing unit for reducing noise of an image is arranged in the noise reduction module, and an integral optimization unit for processing the image is arranged in the noise reduction module.
Preferably, a data receiving unit for data transmission is arranged in the output module, a multi-channel conversion unit for data processing is arranged in the output module, and an output unit for a user terminal to receive data is arranged in the output module.
The multi-channel switching noise reduction method for image communication comprises the following working steps:
the method comprises the following steps: a user acquires images through an acquisition device on the acquisition terminal, a color acquisition unit and an action acquisition unit in the acquisition module record and acquire corresponding data, and the acquired data are transmitted to the conversion module through a wire;
step two: the data signal entering the conversion module converts the electric signal generated by the acquired data into a digital signal through the conversion unit, and transmits the digital signal to the processing system through the transmission unit;
step three: when the received signals enter the image processing module, a user can adopt automatic adjustment processing, automatically adjust the images through an internal sharpening adjusting unit, a brightness adjusting unit, a balance adjusting unit and a pixel transformation unit, carry out corresponding adjustment processing through an image optimizing unit according to the shooting environments of different images, and also can manually adjust related numerical values;
step four: the image data after image processing is subjected to image noise reduction work through a noise reduction processing unit in a noise reduction module, and the noise reduction process is as follows: the noise level R is obtained from the image data, and the formula is as follows:
where P is the compositional core, the noise level formula is as follows:
w and H represent the width and height of the image containing noise, I represents the image containing noise, the image containing noise is symmetrically copied and expanded in four directions of up, down, left and right according to the radius and side length of the block to obtain the image containing noise after symmetric copying and expansion, then the image containing noise is blocked by taking the pixel of the image containing noise as a central point and taking the step length as 1 pixel, the image at the current moment is subjected to coarse noise removal to obtain the current image after coarse noise removal output by a noise reduction module, the current image is subjected to secondary noise reduction to obtain a fine noise removal image, then the image after coarse noise removal and the image after fine noise removal are subjected to dynamic-static fusion to generate a fused image, and each image subjected to noise reduction is subjected to frequency domain transformation, hard threshold noise reduction, fusion and frequency domain inverse transformation to obtain a plurality of fused images, obtaining image data subjected to noise reduction after fusion;
step five: the processed data are received by the data receiving unit in the output module, the data are converted by different channels through the multi-channel conversion unit to generate a plurality of data, and the data are transmitted to the user terminal through the output unit, so that the user can select proper data in different channels according to the use requirement and store the data.
(3) Advantageous effects
Compared with the prior art, the invention has the beneficial effects that: the noise reduction method provided by the invention has the advantages that the corresponding acquisition devices are matched with the internal processing module, the image data for image communication is optimized, meanwhile, the internal noise reduction processing unit can also better reduce noise of the image, and the internal multi-channel output unit is matched to output image data in different formats, so that the user can store the image conveniently, and the use convenience of the matching system is improved.
Detailed Description
In order to make the technical means, the original characteristics, the achieved purposes and the effects of the invention easily understood and obvious, the technical solutions in the embodiments of the present invention are clearly and completely described below to further illustrate the invention, and obviously, the described embodiments are only a part of the embodiments of the present invention, but not all the embodiments.
Example 1
The embodiment is a noise reduction method for image communication, the noise reduction method includes an image communication system for image communication, the signal communication system includes an acquisition module for image acquisition, a conversion module for data conversion, an image processing module for data processing, a noise reduction module for data adjustment, and an output module for data transmission, and the acquisition module, the conversion module, the image processing module, the noise reduction module, and the output module are electrically connected to each other.
The system comprises an acquisition module, a color acquisition unit, an action acquisition unit, a motion dynamic feature, a motion image feature sequence and a motion dynamics feature sequence, wherein the acquisition module is arranged on an acquisition terminal, the color acquisition unit for color identification is arranged in the acquisition module, the motion acquisition unit for motion identification is arranged in the acquisition module, the motion acquisition module is arranged on a user image acquisition terminal, the motion acquisition unit acquires the motion of a user to be sensed to obtain a motion acquisition signal, the motion acquisition signal comprises a visual image signal and a force touch signal, the motion acquisition signal is subjected to feature extraction to obtain a motion static feature, the motion static feature comprises a human body skeleton position feature and a motion dynamics feature, the motion static feature is subjected to feature combination to obtain a motion dynamic feature, the motion dynamic feature comprises a human body skeleton feature sequence and a motion dynamics feature sequence, the motion feature of a key point of the user to be sensed is determined according to the motion dynamic feature, the key point motion feature, the motion characteristic of the key point is obtained, Feature fusion of action static features and action dynamic featuresAnd combining to obtain an action perception result, and according to a formula:
t represents the time sequence of window time, wherein n is 0 or 20, n represents the positions of the first frame and the last frame in the window time, a is the moving distance of n in the time window, x and y represent feature points, the types of the images are identified and processed through the identification and the recording of the feature points, the images are processed through a subsequent processing module, meanwhile, when the noise reduction processing is carried out, the noise reduction processing is carried out according to the images with different features, the modification of the features during the noise reduction can be reduced, the accuracy of image transmission is better ensured, and the image identification processing is specifically as follows:
when the value of the action perception result A is less than or equal to the value 10, judging that the noise level R of the image does not need to be calculated;
when the value of the motion perception result A is larger than the value 10, judging that the image needs to calculate the noise level R,
the image processing device comprises a conversion module, an image processing module and a display module, wherein a connecting unit for data connection is arranged in the conversion module, a conversion unit for converting an electric signal into a digital signal is arranged in the conversion module, a conveying unit for data conduction is arranged in the conversion module, a sharpening adjusting unit, a brightness adjusting unit, a balance adjusting unit and a pixel converting unit for image adjustment are arranged in the image processing module, and an image optimizing unit for preprocessing an image is arranged in the image processing module.
Meanwhile, a noise reduction processing unit for reducing noise of images is arranged in the noise reduction module, an integral optimization unit for processing images is arranged in the noise reduction module, a data receiving unit for data conduction is arranged in the output module, a multi-channel conversion unit for data processing is arranged in the output module, and an output unit for receiving data by a user terminal is arranged in the output module.
When the noise reduction method of the technical scheme is used, a user carries out image acquisition work through an acquisition device on an acquisition terminal, and meanwhile, a color acquisition unit and an action acquisition unit in an acquisition module can record and acquire corresponding dataThe collected data can be transmitted to a conversion module through a wire, the collection module is arranged on a collection terminal, a color collection unit for color identification is arranged in the collection module, an action collection unit for action identification is arranged in the collection module, the collection module is arranged on a user image collection terminal, a data signal entering the conversion module is converted into a digital signal through the conversion unit, the electric signal generated by the collected data is converted into the digital signal through the conversion unit, the digital signal is transmitted to a processing system through a transmission unit, a connection unit for data connection is arranged in the conversion module, a conversion unit for converting the electric signal into the digital signal is arranged in the conversion module, a transmission unit for data transmission is arranged in the conversion module, and when the received signal enters the image processing module, a user can adopt automatic adjustment processing, carry out automatically regulated to the image through inside sharpening the regulating element, the brightness control unit, balanced regulating element and pixel transform unit, according to the shooting environment of different images, correspond the regulation processing through the image optimization unit, also can adopt the manual regulation that carries out relevant numerical value, be provided with the sharpening regulating element who is used for image adjustment in the image processing module, the brightness control unit, balanced regulating element and pixel transform unit, be provided with the image optimization unit of preliminary treatment image in the image processing module, the image data through image processing carries out the work of making an uproar that falls in the image through the module internal noise reduction processing unit that falls of making an uproar, the process of making an uproar falls as follows: the noise level R is obtained from the image data, and the formula is as follows:
where P is the compositional core, the noise level formula is as follows:
w and H represent the width and height of the image containing noise, I represents the image containing noise, the image containing noise is symmetrically copied and expanded in the four directions of up, down, left and right according to the radius and side length of the block to obtain the image containing noise after symmetric copying and expansion, and then the pixel of the image containing noise is taken as the center point, and the steps are takenPartitioning for 1 pixel, performing coarse noise removal on an image at the current moment, obtaining a current image output by a noise reduction module after the coarse noise removal, performing secondary noise reduction processing on the current image, obtaining a fine noise removal image, performing dynamic and static fusion on the image after the coarse noise removal and the image after the fine noise removal to generate a fused image, performing frequency domain transformation, hard threshold noise reduction, fusion and frequency domain inverse transformation on each image subjected to noise reduction to obtain a plurality of fused images, obtaining image data subjected to noise reduction after fusion, wherein a noise reduction processing unit for the noise reduction image is arranged in the noise reduction module, an integral optimization unit for image processing is arranged in the noise reduction module, a data receiving unit for data conduction is arranged in the output module, and a multi-channel conversion unit for data processing is arranged in the output module, the output module is internally provided with an output unit for receiving data by the user terminal, the processed data is received by the data receiving unit in the output module, the data is converted by different channels through the multi-channel conversion unit to generate a plurality of data, and the data is transmitted to the user terminal through the output unit, so that the user can select proper data in different channels according to the use requirement and store the data.
Having thus described the principal technical features and basic principles of the invention, and the advantages associated therewith, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment contains only a single technical solution, and such description is for clarity only, and those skilled in the art should make the description as a whole, and the technical solutions in the embodiments can also be combined appropriately to form other embodiments understood by those skilled in the art.
Claims (6)
1. A multi-channel switching noise reduction method for image communication, the noise reduction method comprising an image communication system for image communication; the image communication system is characterized by comprising an acquisition module for image acquisition, a conversion module for data conversion, an image processing module for data processing, a noise reduction module for data regulation and an output module for data transmission, wherein the acquisition module, the conversion module, the image processing module, the noise reduction module and the output module are electrically connected with one another;
the working steps are as follows:
the method comprises the following steps: a user acquires images through an acquisition device on the acquisition terminal, a color acquisition unit and an action acquisition unit in the acquisition module record and acquire corresponding data, and the acquired data are transmitted to the conversion module through a wire;
step two: the data signal entering the conversion module converts the electric signal generated by the acquired data into a digital signal through the conversion unit, and transmits the digital signal to the processing system through the transmission unit;
step three: when the received signals enter the image processing module, a user can adopt automatic adjustment processing, automatically adjust the images through an internal sharpening adjusting unit, a brightness adjusting unit, a balance adjusting unit and a pixel transformation unit, carry out corresponding adjustment processing through an image optimizing unit according to the shooting environments of different images, and also can manually adjust related numerical values;
step four: the image data after image processing is subjected to image noise reduction work through a noise reduction processing unit in a noise reduction module, and the noise reduction process is as follows: the noise level R is obtained from the image data, and the formula is as follows:
where P is the compositional core, the noise level formula is as follows:
w and H represent the width and height of the image containing noise, I represents the image containing noise, the image containing noise is symmetrically copied and expanded in four directions of up, down, left and right according to the radius and side length of the block to obtain the image containing noise after symmetric copying and expansion, then the image containing noise is blocked by taking the pixel of the image containing noise as a central point and taking the step length as 1 pixel, the image at the current moment is subjected to coarse noise removal to obtain the current image after coarse noise removal output by a noise reduction module, the current image is subjected to secondary noise reduction to obtain a fine noise removal image, then the image after coarse noise removal and the image after fine noise removal are subjected to dynamic-static fusion to generate a fused image, and each image subjected to noise reduction is subjected to frequency domain transformation, hard threshold noise reduction, fusion and frequency domain inverse transformation to obtain a plurality of fused images, obtaining image data subjected to noise reduction after fusion;
step five: the processed data are received by the data receiving unit in the output module, the data are converted by different channels through the multi-channel conversion unit to generate a plurality of data, and the data are transmitted to the user terminal through the output unit, so that the user can select proper data in different channels according to the use requirement and store the data.
2. The multi-channel switching noise reduction method for image communication according to claim 1, wherein the collection module is disposed on a collection terminal, a color collection unit for color recognition is disposed in the collection module, an action collection unit for action recognition is disposed in the collection module, the collection module is disposed on a user image collection terminal, the action collection unit collects actions of a user to be sensed to obtain an action collection signal, the action collection signal includes a visual image signal and a force touch signal, and performs feature extraction on the action collection signal to obtain an action static feature,the action static characteristics comprise human skeleton position characteristics and action force characteristics, the action static characteristics are subjected to characteristic combination to obtain action dynamic characteristics, the action dynamic characteristics comprise a human skeleton characteristic sequence and an action force characteristic sequence, the key point action characteristics of a user to be sensed are determined according to the action dynamic characteristics, the key point action characteristics, the action static characteristics and the action dynamic characteristics are subjected to characteristic fusion to obtain an action sensing result, and the action sensing result is obtained through a formula:
t represents the time sequence of the window time, wherein n is 0 or 20, n represents the positions of the first frame and the last frame in the window time, A is the moving distance of n in the time window, x and y represent feature points, the type of the image is identified and processed through the identification and recording of the feature points, and the image identification processing is as follows:
when the value of the action perception result A is less than or equal to the value 10, judging that the noise level R of the image does not need to be calculated;
and when the value of the motion perception result A is larger than the value 10, judging that the image needs to calculate the noise level R.
3. The method according to claim 1, wherein a connection unit for data connection is disposed in the conversion module, a conversion unit for converting an electrical signal into a digital signal is disposed in the conversion module, and a transmission unit for data transmission is disposed in the conversion module.
4. The method of claim 1, wherein a sharpening unit, a brightness unit, an equalization unit, and a pixel transformation unit are disposed in the image processing module, and an image optimization unit is disposed in the image processing module.
5. The method according to claim 1, wherein a noise reduction processing unit for reducing noise of an image is disposed in the noise reduction module, and an overall optimization unit for image processing is disposed in the noise reduction module.
6. The method of claim 1, wherein a data receiving unit for data transmission is disposed in the output module, a multi-channel conversion unit for data processing is disposed in the output module, and an output unit for a user terminal to receive data is disposed in the output module.
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