CN114501021A - Image compression transmission method and device for power system - Google Patents
Image compression transmission method and device for power system Download PDFInfo
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- CN114501021A CN114501021A CN202111602496.6A CN202111602496A CN114501021A CN 114501021 A CN114501021 A CN 114501021A CN 202111602496 A CN202111602496 A CN 202111602496A CN 114501021 A CN114501021 A CN 114501021A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
- H04N19/176—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/124—Quantisation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/90—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using coding techniques not provided for in groups H04N19/10-H04N19/85, e.g. fractals
- H04N19/91—Entropy coding, e.g. variable length coding [VLC] or arithmetic coding
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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
- G06T2207/20—Special algorithmic details
- G06T2207/20021—Dividing image into blocks, subimages or windows
Abstract
The invention provides a method and a device for compressing and transmitting images of a power system, which relate to the technical field of image processing of the power system, and the method comprises the following steps: acquiring an original image acquired by an image acquisition terminal of a power system; segmenting an original image into a foreground image and a background image; detecting the foreground image by adopting a character detection algorithm, and segmenting the foreground image into a text region image and a main image according to a detection result; lossy compression is carried out on the background image to obtain a compressed background image; carrying out lossless compression on the main image to obtain a compressed main image; and packaging and sending the compressed background image, the compressed main body image and the text area image together to the client. The invention respectively uses different compression methods for different areas, effectively reduces the bandwidth occupied by image transmission and simultaneously considers the image quality.
Description
Technical Field
The invention belongs to the technical field of image processing of power systems, and particularly relates to a method and a device for image compression and transmission of a power system.
Background
With the continuous deepening of image data acquisition, video intelligent monitoring and robot inspection technologies, more and more information in a power system is stored and transmitted in the form of digitized images. The image information has the outstanding advantages of being vivid, intuitive, vivid, strong in visualization and the like, and can help technicians to quickly know the operation condition of the power system, and the image information accounts for more and more weight in the information transmission of the power system.
With the development of the technology, the image quality of the power system transmission is higher and higher, the image quantity is larger and larger, and the bandwidth required by the image transmission is increased. Due to the limited transmission bandwidth, in order to relieve the image transmission pressure of the power system, the image is generally required to be compressed and then transmitted. The existing image compression can be divided into two categories of lossy compression and lossless compression, the original information of a picture part is removed in the lossy compression, the data of a power system collected by a client side is influenced, the image quality after the lossless compression is high, a large transmission bandwidth still needs to be occupied, and the compression effect is not obvious. Therefore, the image quality and the occupied bandwidth reduction in the image transmission process of the power system cannot be considered at the same time at present.
In view of the above, the present invention provides a method and an apparatus for compressing and transmitting images in an electrical power system, so as to solve the deficiencies of the prior art.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides the image compression and transmission method and the image compression and transmission device for the power system, which are used for separating the original image into different areas and respectively using different compression methods for the different areas, thereby effectively reducing the transmission bandwidth occupied by the image, simultaneously ensuring the image quality and not influencing the image information obtained by the client.
In order to achieve the purpose, the invention provides the following technical scheme:
an image compression transmission method for a power system comprises the following steps:
acquiring an original image acquired by an image acquisition terminal of a power system;
segmenting an original image into a foreground image and a background image;
detecting the foreground image by adopting a character detection algorithm, and segmenting the foreground image into a text region image and a main image according to a detection result;
lossy compression is carried out on the background image to obtain a compressed background image;
carrying out lossless compression on the main image to obtain a compressed main image;
and packaging and sending the compressed background image, the compressed main body image and the text area image together to the client.
Preferably, after an original image acquired by the power system image acquisition terminal is acquired, denoising is performed on the original image through a median filtering algorithm.
The basic idea is to replace the gray value of a pixel point with the median of the gray value of the neighborhood of the pixel point to make the surrounding pixel values close to the real value so as to eliminate an isolated noise point, and the median filtering algorithm can retain the edge details of an image while eliminating the impulse noise and the salt and pepper noise of the image.
Preferably, the segmentation of the original image into a foreground image and a background image comprises the steps of:
step one, acquiring the maximum gray value and the minimum gray value of an original image, respectively recording the maximum gray value and the minimum gray value as MAX and MIN, and enabling an initial threshold value T0=（MAX+MIN）/ 2；
Step two, according to the threshold value TiDividing the image into a foreground and a background, wherein i =0,1,2 … N, and respectively calculating average gray values MO and MB of the foreground and the background;
step three, calculating a new threshold value Ti+1=（M0+MB）/2；
Step four, judging TiAnd Ti+1Whether they are equal; if TiAnd Ti+1If they are equal, T is determinedi+1Is a segmentation threshold; if TiAnd Ti+1If not, returning to the step two for iterative calculation;
and step five, segmenting the original image into a foreground image and a background image by adopting the segmentation threshold value obtained by calculation.
The original image is divided into a foreground image and a background image, so that different compression methods can be adopted for processing respectively in the follow-up process.
Preferably, the detection of the foreground image by adopting a character detection algorithm comprises the following steps:
detecting the foreground image by adopting a maximum stable extremum region algorithm to obtain a rectangular text region;
a non-maximum suppression algorithm is adopted to perform de-duplication area on the text rectangular area to obtain a de-overlapped text rectangular area;
and splicing the overlap-removed text rectangular regions with small regions and small intervals by adopting a minimum circumscribed rectangle method to obtain the text region image.
And detecting the text region image in the foreground image by a character detection algorithm, so as to be convenient for respectively processing different regions in the foreground image subsequently.
Preferably, the segmenting the foreground image into the text region image and the subject image according to the detection result includes:
acquiring the size and position information of the text area image through a character detection algorithm;
and removing the text region image from the foreground image according to the size and the position information of the text region image to obtain a main body image.
Preferably, the lossy compression of the background image to obtain the compressed background image comprises the following steps:
decomposing the background image into 8 × 8 or 16 × 16 image blocks;
performing two-dimensional discrete cosine transform on each image block;
and quantizing and coding the discrete cosine transform coefficient to obtain a compressed background image.
The compression ratio of lossy compression is very high, the transmission bandwidth occupied by the image after lossy compression is greatly reduced, but the image quality is influenced, and the quality requirement of a client user on the background image in practical application is not high, so that the lossy compression can be carried out on the background image to reduce the bandwidth occupied by the image transmission.
Preferably, the compressed subject image is obtained by lossless compression of the subject image by arithmetic coding. Arithmetic coding is a lossless compression method, also an entropy coding method, and its basic principle is to represent the coded message as an interval between real numbers 0 and 1, the longer the message, the smaller the interval it is represented by the coding, and the more bits are needed to represent this interval.
The compression ratio of lossless compression is small, but the image quality is high, and the lossless compression can ensure that the main image has high quality.
The invention also provides an image compression and transmission device of the power system, which comprises an image acquisition module, an image segmentation module, a text detection module, a lossy compression module, a lossless compression module and an image transmission module;
the image acquisition module is used for acquiring an original image acquired by the power system image acquisition terminal;
the image segmentation module is used for segmenting the original image into a foreground image and a background image;
the text detection module is used for setting a character detection algorithm to detect the foreground image and dividing the foreground image into a text region image and a main body image according to a detection result;
the lossy compression module is used for carrying out lossy compression on the background image to obtain a compressed background image;
the lossless compression module is used for carrying out lossless compression on the main image to obtain a compressed main image;
and the image transmission module is used for packaging and sending the compressed background image, the compressed main body image and the text region image together to the client.
The method has the advantages that the original image of the power system is divided into the background image, the main image and the text area image, the lossy compression is carried out on the background image with low image quality requirement, the image transmission bandwidth is effectively reduced, the lossless compression is carried out on the main image with high image quality requirement, the image transmission quality is guaranteed, the text area image is not compressed, the client can be ensured to obtain clear text information, the bandwidth occupied by the image transmission is effectively reduced, the image transmission quality is considered, and the image information obtained by the client is not influenced.
Drawings
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present invention, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
Fig. 1 is a flowchart of an image compression and transmission method for a power system according to embodiment 1 of the present invention.
Fig. 2 is a schematic block diagram of an image compression and transmission apparatus for a power system according to embodiment 2 of the present invention.
The system comprises an image acquisition module, an image segmentation module, a text detection module, a lossy compression module, a lossless compression module and an image transmission module, wherein the image acquisition module is 1, the image segmentation module is 2, the text detection module is 3, the lossy compression module is 4, the lossless compression module is 5, and the image transmission module is 6.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is obvious that the described embodiment is only a part of the embodiment of the present invention, and not all 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.
Example 1
As shown in fig. 1, an embodiment 1 of the present invention provides an image compression and transmission method for an electric power system, including the following steps:
s1, acquiring an original image acquired by an image acquisition terminal of a power system;
and after an original image acquired by the image acquisition terminal of the power system is acquired, denoising the original image through a median filtering algorithm. The basic idea is to replace the gray value of a pixel point by the median of the gray value of the neighborhood of the pixel point, so that the surrounding pixel values are close to the real value to eliminate an isolated noise point, and the median filtering algorithm can keep the edge details of an image while eliminating impulse noise and salt and pepper noise of the image.
S2, segmenting the original image into a foreground image and a background image, and specifically comprising the following steps:
step one, acquiring the maximum gray value and the minimum gray value of an original image, respectively recording the maximum gray value and the minimum gray value as MAX and MIN, and enabling an initial threshold value T0=（MAX+MIN）/ 2；
Step two, according to the threshold value TiDividing the image into a foreground and a background, wherein i =0,1,2 … N, and respectively calculating average gray values MO and MB of the foreground and the background;
step three, calculating a new threshold value Ti+1=（M0+MB）/2；
Step four, judging TiAnd Ti+1Whether they are equal; if TiAnd Ti+1If they are equal, T is determinedi+1Is a segmentation threshold; if TiAnd Ti+1If not, returning to the step two for iterative calculation;
and step five, segmenting the original image into a foreground image and a background image by adopting the segmentation threshold value obtained by calculation.
The original image is divided into a foreground image and a background image, so that different compression methods can be adopted for processing respectively in the follow-up process.
And S3, detecting the foreground image by adopting a character detection algorithm, and segmenting the foreground image into a text region image and a main body image according to a detection result.
The detection of the foreground image by adopting a character detection algorithm specifically comprises the following steps: detecting the foreground image by adopting a maximum stable extremum region algorithm to obtain a rectangular text region; a non-maximum suppression algorithm is adopted to perform de-duplication area on the text rectangular area to obtain a de-overlapped text rectangular area; and splicing the overlap-removed text rectangular regions with small regions and small intervals by adopting a minimum circumscribed rectangle method to obtain the text region image.
Segmenting the foreground image into the text region image and the main image according to the detection result specifically comprises the following steps: acquiring the size and position information of the text area image through a character detection algorithm; and removing the text region image from the foreground image according to the size and the position information of the text region image to obtain a main body image.
And detecting the text region image in the foreground image by a character detection algorithm, so as to be convenient for respectively processing different regions in the foreground image subsequently.
S4, performing lossy compression on the background image to obtain a compressed background image, and specifically comprising the following steps: decomposing the background image into 8 × 8 or 16 × 16 image blocks; performing two-dimensional discrete cosine transform on each image block; and quantizing and coding the discrete cosine transform coefficient to obtain a compressed background image.
The compression ratio of lossy compression is very high, the transmission bandwidth occupied by the image after lossy compression is greatly reduced, but the image quality is influenced, and the quality requirement of a client user on the background image in practical application is not high, so that the lossy compression can be carried out on the background image to reduce the bandwidth occupied by the image transmission.
And S5, carrying out lossless compression on the main body image by adopting arithmetic coding to obtain a compressed main body image.
Arithmetic coding is a lossless compression method, also an entropy coding method, and its basic principle is to represent the coded message as an interval between real numbers 0 and 1, the longer the message, the smaller the interval it is represented by the coding, and the more bits are needed to represent this interval.
The compression ratio of lossless compression is small, but the image quality is high, and the lossless compression can ensure that the main image has high quality.
And S6, packaging and sending the compressed background image, the compressed main body image and the text region image to the client.
Example 2
As shown in fig. 2, an embodiment 2 of the present invention provides an image compression and transmission device for a power system, including an image acquisition module 1, an image segmentation module 2, a text detection module 3, a lossy compression module 4, a lossless compression module 5, and an image transmission module 6;
the image acquisition module 1 is used for acquiring an original image acquired by an image acquisition terminal of the power system;
the image segmentation module 2 is used for segmenting the original image into a foreground image and a background image;
the text detection module 3 is used for setting a character detection algorithm to detect the foreground image and dividing the foreground image into a text region image and a main body image according to a detection result;
the lossy compression module 4 is used for carrying out lossy compression on the background image to obtain a compressed background image;
the lossless compression module 5 is used for performing lossless compression on the main image to obtain a compressed main image;
and the image transmission module 6 is used for packaging and sending the compressed background image, the compressed main body image and the text region image together to the client.
Although the present invention has been described in detail by referring to the drawings in connection with the preferred embodiments, the present invention is not limited thereto. Various equivalent modifications or substitutions can be made on the embodiments of the present invention by those skilled in the art without departing from the spirit and scope of the present invention, and these modifications or substitutions are within the scope of the present invention/any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention.
Claims (8)
1. An image compression transmission method for a power system is characterized by comprising the following steps:
acquiring an original image acquired by an image acquisition terminal of a power system;
segmenting an original image into a foreground image and a background image;
detecting the foreground image by adopting a character detection algorithm, and segmenting the foreground image into a text region image and a main image according to a detection result;
lossy compression is carried out on the background image to obtain a compressed background image;
carrying out lossless compression on the main image to obtain a compressed main image;
and packaging and sending the compressed background image, the compressed main body image and the text area image together to the client.
2. The power system image compression transmission method according to claim 1, wherein the original image is denoised by a median filtering algorithm after the original image acquired by the power system image acquisition terminal is acquired.
3. The power system image compression transmission method according to claim 1, wherein the segmentation of the original image into a foreground image and a background image comprises the steps of:
step one, acquiring the maximum gray value and the minimum gray value of an original image, respectively recording the maximum gray value and the minimum gray value as MAX and MIN, and enabling an initial threshold value T0=（MAX+MIN）/ 2；
Step two, according to the threshold value TiDividing the image into a foreground and a background, wherein i =0,1,2 … N, and respectively calculating average gray values MO and MB of the foreground and the background;
step three, calculating a new threshold value Ti+1=（M0+MB）/2；
Step four, judging TiAnd Ti+1If equal, if TiAnd Ti+1If they are equal, T is determinedi+1To partition the threshold, if TiAnd Ti+1If not, returning to the step two for iterative calculation;
and step five, segmenting the original image into a foreground image and a background image by adopting the segmentation threshold value obtained by calculation.
4. The power system image compression and transmission method according to claim 1, wherein the detection of the foreground image by using a text detection algorithm comprises the following steps:
detecting the foreground image by adopting a maximum stable extremum region algorithm to obtain a rectangular text region;
a non-maximum suppression algorithm is adopted to perform de-duplication area on the text rectangular area to obtain a de-overlapped text rectangular area;
and splicing the rectangular regions of the de-overlapped texts by adopting a minimum circumscribed rectangle method to obtain the images of the text regions.
5. The power system image compression transmission method according to claim 4, wherein the dividing of the foreground image into the text region image and the subject image according to the detection result includes:
acquiring the size and position information of the text area image through a character detection algorithm;
and removing the text region image from the foreground image according to the size and the position information of the text region image to obtain a main body image.
6. The power system image compression and transmission method according to claim 1, wherein the lossy compression of the background image to obtain the compressed background image comprises the following steps:
decomposing the background image into 8 × 8 or 16 × 16 image blocks;
performing two-dimensional discrete cosine transform on each image block;
and quantizing and coding the discrete cosine transform coefficient to obtain a compressed background image.
7. The power system image compression transmission method according to claim 1, wherein the compressed subject image is obtained by lossless compression of the subject image using arithmetic coding.
8. The image compression and transmission device for the power system is characterized by comprising an image acquisition module, an image segmentation module, a text detection module, a lossy compression module, a lossless compression module and an image transmission module;
the image acquisition module is used for acquiring an original image acquired by the power system image acquisition terminal;
the image segmentation module is used for segmenting the original image into a foreground image and a background image;
the text detection module is used for setting a character detection algorithm to detect the foreground image and dividing the foreground image into a text region image and a main body image according to a detection result;
the lossy compression module is used for carrying out lossy compression on the background image to obtain a compressed background image;
the lossless compression module is used for carrying out lossless compression on the main image to obtain a compressed main image;
and the image transmission module is used for packaging and sending the compressed background image, the compressed main body image and the text region image together to the client.
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| CN116132431A (en) * | 2023-04-19 | 2023-05-16 | 泰诺尔(北京)科技有限公司 | Data transmission method and system |
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| CN116132431A (en) * | 2023-04-19 | 2023-05-16 | 泰诺尔(北京)科技有限公司 | Data transmission method and system |
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