CN115022486A - Image data processing method based on multi-party interaction - Google Patents
Image data processing method based on multi-party interaction Download PDFInfo
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Abstract
An image data processing method based on multi-party interaction comprises the steps that firstly, an image data processing device reads an image generated by an image generation control device; processing pixels in the image data generated by the image generation control equipment to obtain pixel data blocks in the image data; selecting different expression modes according to the distribution condition of pixels in the image data, processing pixel data blocks in the image data into pixel data blocks in the image data in a specific data format, merging to obtain a multi-pixel data group in the image data, and transmitting and receiving by adopting data transmission equipment; the user interaction equipment splits and analyzes the multi-pixel data group in the received image data to obtain a pixel estimation value in the image data; and performing image display and analysis according to the pixel estimation value in the obtained image data. The method provided by the invention can process the image in a pixel level, and greatly reduces the volume and scale of the image data.
Description
Technical Field
The invention relates to the technical field of image transmission, in particular to an image data processing method based on multi-party interaction.
Background
The image is composed of a plurality of infinite pixel points, and after the image processing is finished, image results need to be read, processed and transmitted, so that the final graphical display and other related analysis can be carried out. With the popularization of remote computing technology and the increase of cloud computing demand, user interaction devices, image processing devices, and image generation devices are often separately provided and data transmission is performed through a computer network. Due to the limitation of computer network bandwidth and data flow cost, the network transmission of the super-large scale image result data has extremely long transmission time, and the required network bandwidth and network data flow overhead are huge.
Disclosure of Invention
The main purpose of the present invention is to overcome the above-mentioned defects in the prior art, and to provide an image data processing method based on multi-party interaction, which can process the image in a pixel level, and greatly reduce the volume and scale of the image data. This aspect significantly reduces the memory device overhead required to store the image data, and further reduces the bandwidth and amount of data to be transmitted over the computer network for image data transmission.
An image data processing method based on multi-party interaction comprises the following steps:
the image data processing device reads the image generated by the image generation control device;
processing pixels in the image data generated by the image generation control equipment to obtain pixel data blocks in the image data;
selecting different expression modes according to the distribution condition of pixels in the image data, and processing pixel data blocks in the image data into pixel data blocks in the image data in a specific data format;
combining pixel data blocks in the image data in the specific format to obtain a multi-pixel data group in the image data;
transmitting and receiving a multi-pixel data group in image data by adopting data transmission equipment;
the user interaction equipment splits and analyzes the multi-pixel data group in the received image data to obtain a pixel estimation value in the image data;
and performing image display and analysis according to the pixel estimation value in the obtained image data.
Specifically, processing pixels in image data generated by the image generation control device to obtain a pixel data block in the image data includes:
acquiring a pixel minimum value and a pixel maximum value of a pixel set in image data to form a first data block;
dividing a pixel set in the image data into a plurality of numerical value sections with numbers according to a segmentation mode and segmentation parameters;
scanning pixel values of all nodes or units, obtaining the numerical value interval number of the pixel value and related parameters, and forming a single piece of data corresponding to each node or unit;
collecting single data corresponding to all nodes or unit pixel values to form a second data block;
the first data block and the second data block are combined into a pixel data block in the image data.
Specifically, the pixel data block in the image data specifically includes:
the pixel data block in the image data at least comprises: a first data block and a second data block;
the first data block at least comprises: a pixel maximum value, a pixel minimum value and a pixel segmentation parameter set;
the second data block contains a single block of data for transmitting the results of the selected node or unit;
the single block data consists of a data type mark and a data body, wherein the data type mark is an optional item, and the data body is a necessary item.
Specifically, the distribution of the pixels adopts different expression modes, and the different expression modes specifically include: a basic segmentation mode, a local encryption mode, a mixed data mode, and a sequence data mode.
Specifically, the specific process of obtaining the pixel data block in the image data in the basic segmentation mode includes:
dividing a numerical interval from a minimum value to a maximum value of pixels in a pixel data block in image data into a plurality of overall interval sections and overall numerical point sets which are evenly distributed from small to large according to pixel value distribution, and forming a first data block;
taking the total pixel point closest to the unprocessed pixel value, storing the sequence number of the closest total pixel point in the total pixel point set to a data body, ignoring the data type mark, and directly forming a single piece of data;
all the single blocks of data are combined to form a second block of data, which is concatenated with the first block of data to form a block of pixel data in the image data in basic segmentation mode.
Specifically, the specific process of obtaining the pixel data block in the image data in the local area encryption mode includes:
subdividing one or a plurality of segments of which the pixel distribution is more than a set threshold value in the total segment again to form one or a plurality of subdivided segments and subdivided pixel point sets which are evenly distributed in the subdivided segments from small to large, and simultaneously forming a first data block;
taking total pixel points or subdivided pixel points which are nearest to unprocessed pixel values, if the selected pixel points are the total pixel points, taking a certain specific numerical value for identifying the total data type by the data type mark, and if the selected pixel points are the subdivided pixel points, replacing a certain numerical value of the number of a subdivision interval in which the numerical value points are located by the data type mark, and if the selected numerical value points are the subdivided pixel points, sequentially numbering the numerical value points in the subdivided numerical value point set by the data type mark, and connecting the data type mark and the data body to form a single piece of data;
combining all single data to form a second data block, connecting with the first data block, and forming a pixel data block in the image data in the local encryption mode;
specifically, in the mixed data mode, the data type mark takes a specific numerical value representing floating point type data, the data body is a floating point number, and the data type mark and the data body are connected to form a single block of data.
Specifically, the processing procedure of the pixel data block in the image data in the sequence data mode specifically includes:
adding a one-dimensional array representing a time sequence in the first data block, wherein the one-dimensional array represents a specific time value at each moment;
expanding the pixel minimum value and the pixel maximum value in the first data block into one-dimensional arrays respectively representing the pixel minimum value and the pixel maximum value set at the corresponding moment, and expanding the interval subdivision list into a two-dimensional array for transmitting an interval subsection number set which needs to be subdivided on the corresponding time sequence;
and expanding the second data block, constructing a time result data list of each time, and respectively containing a plurality of single data blocks.
Specifically, the user interaction device splits and analyzes a multi-pixel data group in the received image data to obtain a pixel estimation value in the image data, specifically:
acquiring a first data block and a second data block from a pixel data block in image data;
acquiring a pixel maximum value, a pixel minimum value and a pixel segmentation parameter set from the first data block;
generating a pixel value interval set which is sequentially arranged according to the obtained pixel segmentation parameters;
acquiring single data of all nodes or units in the second data block;
and scanning all the second data blocks, and solving pixel estimation values in the image data of all the nodes or units by combining the pixel value interval set.
As can be seen from the above description of the present invention, compared with the prior art, the present invention has the following advantages:
the invention provides an image data processing method based on multi-party interaction, which comprises the following steps that firstly, an image data processing device reads an image generated by an image generation control device; processing pixels in the image data generated by the image generation control equipment to obtain pixel data blocks in the image data; selecting different expression modes according to the distribution condition of pixels in the image data, and processing pixel data blocks in the image data into pixel data blocks in the image data in a specific data format; combining pixel data blocks in the image data in the specific format to obtain a multi-pixel data group in the image data; transmitting and receiving a multi-pixel data group in image data by adopting data transmission equipment; the user interaction equipment splits and analyzes the multi-pixel data group in the received image data to obtain a pixel estimation value in the image data; and performing image display and analysis according to the pixel estimation value in the obtained image data. The method provided by the invention can process the image in a pixel level, and greatly reduces the volume and scale of the image data. On the one hand, the cost of a storage device required for storing the image data is greatly reduced, and the bandwidth and the transmission data volume required for transmitting the image data through a computer network are further reduced; the reduction of the transmission data not only saves the network resource overhead brought by the system operation, but also reduces the waiting time required by the user to obtain the image result data through the computer network, and improves the user experience.
Drawings
FIG. 1 is a flowchart of an image data processing method based on multi-party interaction according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a complete pixel block provided by an embodiment of the present invention;
the invention is described in further detail below with reference to the figures and specific examples.
Detailed Description
The invention adopts the following technical scheme:
referring to fig. 1, a flowchart of an image data processing method based on multi-party interaction includes the following steps:
s101: the image data processing device reads the image generated by the image generation control device;
s102: processing pixels in the image data generated by the image generation control equipment to obtain pixel data blocks in the image data;
processing pixels in image data generated by the image generation control device to obtain a pixel data block in the image data, specifically comprising:
acquiring a pixel minimum value and a pixel maximum value of a pixel set in image data to form a first data block;
dividing a pixel set in the image data into a plurality of numerical value sections with numbers according to a segmentation mode and segmentation parameters;
scanning pixel values of all nodes or units, obtaining a numerical interval number and related parameters of the pixel value, and forming single data corresponding to each node or unit;
collecting single data corresponding to all nodes or unit pixel values to form a second data block;
the first data block and the second data block are combined into a pixel data block in the image data.
The pixel data block in the image data specifically includes:
the pixel data block in the image data at least comprises: a first data block and a second data block;
the first data block at least comprises: a pixel maximum value, a pixel minimum value and a pixel segmentation parameter set;
the second data block contains a single block of data for transmitting the results of the selected node or unit;
the single block data consists of a data type mark and a data body, wherein the data type mark is an optional item, and the data body is a necessary item.
In the embodiment of the invention, under the condition of ensuring the result precision, the scale of the result data is greatly reduced by abandoning a part of numerical value precision, the high-speed transmission of the result data is realized, and the data body is integer type data under most conditions.
S103: selecting different expression modes according to the distribution condition of pixels in the image data, and processing pixel data blocks in the image data into pixel data blocks in the image data in a specific data format;
the invention provides a data format for computer image transmission, which comprises the following main components:
(1) as shown in fig. 2, the complete pixel block 1 is a main body of a data format, and includes results of all pixels, all Q nodes or units, which need to be analyzed and graphically displayed;
(2) the complete pixel block 1 is a binary data block and is used for transmitting image data, and after receiving the data block, the user interaction equipment can directly perform graphical display and other analysis after analyzing the data block;
(3) the complete pixel block 1 comprises a plurality of independent pixel data blocks 11 in the image data, and the pixel data blocks 11 in the image data comprise image result data of all nodes or units of a certain type;
(4) a block of pixel data in image data, comprising at least: a first data block 12 and a second data block 13;
(5) the first data block 12 should at least include: pixel minimum, pixel maximum and pixel segmentation parameters;
(6) the second data block 13 contains Q pieces of single block data 14, each single block data 14 containing single image data of a single node or unit;
(7) the single block data 14 is a binary byte string composed of a data type tag 15 and a data body 16, wherein the data type tag 15 is used for tagging the data body type, and the data type and the number of bytes of the data body 16 can be obtained by analyzing the type tag 15;
selecting different expression modes according to the distribution condition of the pixels, wherein the different expression modes specifically comprise: a basic segmentation mode, a local encryption mode, a mixed data mode and a sequence data mode;
specifically, in the basic segmentation mode, a pixel data block in the image data may be obtained by using an average division method, and the specific process includes:
(1) the first data block 12 should include: the number of segments NR is an integer of 2 to the BR power, wherein BR is an integer greater than 1, and BR is greater than 5 in order to ensure that data is not distorted;
(2) the single block data 14 does not contain the data type flag 15;
(3) the data volume 16 is an integer R with a value ranging from 0 to NR-1 for expressing the segment position of the pixel value of the node or unit;
(4) the single block data 14 is expressed as a binary byte string consisting of BR bits;
(5) in the basic segmentation mode, the value between the maximum value Max and the minimum value Min of the pixel is averagely divided into NR-1 value intervals with the same interval length, the interval labels are respectively 1 to NR-1, the length of each interval is DB = (Max-Min)/(NR-1), and the label is formed as: 0 to NR-1 in order of uniformly distributed numerical points. An estimate of the resulting value of a node or cell is expressed using the integer R contained in the data volume of the single block 14 of that node or cell, which is R = min + R DB. As a result, the confidence interval of the estimated value r is (Max-Min)/(NR-1). As the NR value becomes larger, the confidence interval of the estimated value r becomes smaller, and as a result, the expression accuracy becomes higher.
The basic segmentation mode can also adopt a non-uniform segmentation division method to carry out region division, the first data block in the method should contain specific segmentation parameters, and the specific calculation process of each segmentation interval and the calculation of the confidence interval of the estimation value are changed along with the difference of the segmentation modes.
And performing local encryption on the areas with denser pixel values on the basis of the basic segmentation mode to form a local encryption mode. In the local encryption mode, the specific process of obtaining the pixel data block in the image data includes:
(1) the first data block 12 also comprises an interval subdivision table 17 which is an integer array expressed in a binary byte string mode, the members of the array are subdivision interval numbers 18, the number of the members is NF, the subdivision interval numbers 18 are integers of 1-NR-1 and are expressed by binary byte strings formed by BR bits, and the numerical value of the subdivision interval number 18 is used for marking the number of the subdivided interval;
(2) the single block of data 14 is a binary byte string, and should at least include a data type flag and a data body;
(3) the data type mark 15 is an integer from 0 to NF and is used for marking the segmentation state of the result value, the value of the data type mark 15 is F, when F is equal to 0, the result value is in the global value segmentation state, when F is an integer from 1 to NF, the result value is in the subdivision state, and the number of the subdivision segments is F;
(4) the data type mark 15 is expressed by a binary byte string consisting of BF bits, the numerical value of the data type mark is RK, and the value of BF is to enable the BF power of 2 to be the minimum integer which is more than or equal to NF;
(5) the data volume 16 is an integer R with a value ranging from 0 to NR-1 for expressing the segment position of the result value of the node or unit;
(6) the single block data 14 is expressed as a binary byte string consisting of (BR + BF) bits;
(7) the result numerical value expression method of the local area encryption mode selects NF subdivision intervals contained in the interval subdivision table 17 to subdivide, and the number of the selected subdivision intervals is the number 18 of each subdivision interval contained in the subdivision interval table 17. Obtaining the minimum value FMin and the maximum value FMax of the subdivision interval of each interval to be subdivided, averagely dividing the value between FMin and FMax into NR-1 intervals, wherein the length of each interval is equal to: (FMax-FMin)/(NR-1) and form 0-NR-1 sequentially and uniformly distributed subdivision value points. When the data type flag 15 value RK is 0, an estimate of the pixel value can be found by the basic segmentation mode by means of the integer R contained in the data volume 16. When the data type flag value RK is greater than 0, the value combination of the subdivision interval number recorded using RK and the subdivision interval value point number R of the data volume 16 flag included in the data type flag can be used to obtain the estimation value of the specified pixel value, and the confidence interval R = (Max-Min)/(NR-1) of the estimation value can be used, so that the estimation precision is greatly improved compared with the basic segmentation mode.
(8) Preferably, on the basis of the local encryption mode, the formed subdivision intervals can be subdivided, so as to further estimate the confidence interval r of the value, and improve the accuracy of the estimated value.
On the basis of a basic segmentation mode and a local encryption mode, a mixed data mode is formed for some numerical value intervals with higher precision requirements, and an original data expression mode depended on in the mode is called as a basic data mode. The specific process of obtaining the pixel data block in the image data in the mixed data mode comprises the following steps:
(1) the single block of data 14 is a binary byte string, and should at least include a data type tag 15 and a data body 16;
(2) when the basic data mode is a basic segmentation mode, the data type mark 15 is an integer 0 or an integer 1 and is represented by 1 bit binary byte;
(3) when the basic data mode is a basic segmentation mode, when the data type mark 15 is an integer 0, the data body 16 is an integer of 0-NR & lt-1 & gt, and the basic segmentation mode is used for data analysis, and when the data type mark 15 is 1, the data body 16 is 16 bits and is used for accurately expressing the result value of the image pixel;
(3) when the basic data mode is a local area encryption mode, the data type mark 15 is an integer of 0-NF +1 and is expressed by a binary byte string consisting of BF bits, the numerical value of the binary byte string is RK, and the value of BF enables the BF power of 2 to be the minimum integer which is more than or equal to NF + 1;
(4) when the basic data mode is a local area encryption mode and the data type mark 15 is an integer of 0-NF, the data body 16 is expressed as the local area encryption mode;
(5) when the basic data mode is the local encryption mode, the data volume 16 is 16 bits when the data type flag 15 is NF +1 to accurately express the result value.
On the basis of the basic segmentation mode, the local area encryption mode and the mixed data mode, when a sequence image pixel result is faced, the data mode can be expanded to form a sequence data mode, and the sequence data mode is processed into a corresponding data format to obtain a single physical quantity result data block under a specific format, and the method specifically comprises the following steps:
(1) adding a one-dimensional array representing a time sequence into the first data block 12, wherein the length of the array is TN, and the array members respectively represent specific time values at each moment;
(2) expanding the minimum value of the pixel and the maximum value of the result data in the first data block 12 into a one-dimensional array with the length of TN, respectively transmitting the minimum value and the maximum value set of the result data on the corresponding time sequence, and expanding the interval subdivision list 17 into a two-dimensional array for transmitting an interval segmentation number set which needs to be subdivided on the corresponding time sequence;
(2) expanding the second data block 13 to construct TN moment pixel data lists 19, wherein each moment pixel data list comprises Q single block data 14;
s104: combining pixel data blocks in the image data in a specific format to obtain a multi-pixel data group in the image data;
s105: transmitting and receiving a multi-pixel data group in image data by adopting data transmission equipment;
s106: the user interaction equipment splits and analyzes the multi-pixel data group in the received image data to obtain a pixel estimation value in the image data;
the user interaction equipment splits and analyzes the multi-pixel data group in the received image data to obtain a pixel estimation value in the image data, and specifically comprises the following steps:
acquiring a first data block and a second data block from a pixel data block in image data;
acquiring a pixel maximum value, a pixel minimum value and a pixel segmentation parameter set from the first data block;
generating a pixel value interval set which is sequentially arranged according to the obtained pixel segmentation parameters;
acquiring single data of all nodes or units in the second data block;
scanning all the second data blocks, and solving pixel estimation values in the image data of all the nodes or units by combining the pixel value interval set;
s107: and performing image display and analysis according to the pixel estimation value in the obtained image data.
The above description is only an embodiment of the present invention, but the design concept of the present invention is not limited thereto, and any insubstantial modifications made by using the design concept belong to the behaviors violating the protection scope of the present invention.
Claims (9)
1. An image data processing method based on multi-party interaction is characterized by comprising the following steps:
the image data processing device reads the image generated by the image generation control device;
processing pixels in the image data generated by the image generation control equipment to obtain pixel data blocks in the image data;
selecting different expression modes according to the distribution condition of pixels in the image data, and processing pixel data blocks in the image data into pixel data blocks in the image data in a specific data format;
combining pixel data blocks in the image data in the specific format to obtain a multi-pixel data group in the image data;
transmitting and receiving a multi-pixel data group in image data by adopting data transmission equipment;
the user interaction equipment splits and analyzes a multi-pixel data set in the received image data to obtain a pixel estimation value in the image data;
and performing image display and analysis according to the pixel estimation value in the obtained image data.
2. The image data processing method based on multi-party interaction according to claim 1, wherein processing the pixels in the image data generated by the image generation control device to obtain the pixel data blocks in the image data specifically comprises:
acquiring a pixel minimum value and a pixel maximum value of a pixel set in image data to form a first data block;
dividing a pixel set in the image data into a plurality of numerical value sections with numbers according to a segmentation mode and segmentation parameters;
scanning pixel values of all nodes or units, obtaining a numerical interval number and related parameters of the pixel value, and forming single data corresponding to each node or unit;
collecting single data corresponding to all nodes or unit pixel values to form a second data block;
the first data block and the second data block are combined into a pixel data block in the image data.
3. The image data processing method based on multi-party interaction according to claim 2, wherein the pixel data blocks in the image data are specifically:
the pixel data block in the image data at least comprises: a first data block and a second data block;
the first data block at least comprises: a pixel maximum value, a pixel minimum value and a pixel segmentation parameter set;
the second data block contains a single block of data for transmitting the results of the selected node or unit;
the single block data consists of a data type mark and a data body, wherein the data type mark is an optional item, and the data body is a necessary item.
4. The image data processing method based on multi-party interaction of claim 3, wherein the distribution of the pixels adopts different expression modes, and the different expression modes specifically include: a basic segmentation mode, a local encryption mode, a mixed data mode, and a sequence data mode.
5. The method as claimed in claim 4, wherein the step of obtaining the pixel data blocks in the image data in the basic segmentation mode comprises:
dividing a numerical interval from a minimum value to a maximum value of pixels in a pixel data block in image data into a plurality of overall interval sections and overall numerical point sets which are evenly distributed from small to large according to pixel value distribution, and forming a first data block;
taking the total pixel point closest to the unprocessed pixel value, storing the sequence number of the closest total pixel point in the total pixel point set to a data body, ignoring the data type mark, and directly forming a single piece of data;
all the single blocks of data are combined to form a second block of data, which is concatenated with the first block of data to form a block of pixel data in the image data in basic segmentation mode.
6. The method as claimed in claim 5, wherein the specific process of obtaining the pixel data block in the image data in the local encryption mode comprises:
subdividing one or a plurality of segments of which the pixel distribution is more than a set threshold value in the total segment again to form one or a plurality of subdivided segments and subdivided pixel point sets which are evenly distributed in the subdivided segments from small to large, and simultaneously forming a first data block;
taking total pixel points or subdivided pixel points which are nearest to unprocessed pixel values, if the selected pixel points are the total pixel points, the data type mark is a certain specific numerical value for marking the total data type, the data body is the sequential number of the total numerical value points in the total numerical value point set, if the selected numerical value points are the subdivided pixel points, the data type mark replaces a certain numerical value of the number of the subdivided interval where the table numerical value points are located, the data body is the sequential number of the numerical value points in the subdivided numerical value point set, and the data type mark and the data body are connected to form a single piece of data;
and combining all single blocks of data to form a second data block, connecting with the first data block, and forming a pixel data block in the image data in the local encryption mode.
7. The method of claim 5 or 6, wherein in the mixed data mode, the data type flag takes a specific numerical value representing floating point type data, and the data body is a floating point number and is connected to form a single block of data.
8. The image data processing method based on multi-party interaction of claim 7, wherein the processing procedure of the pixel data blocks in the image data in the sequence data mode specifically comprises:
adding a one-dimensional array representing a time sequence in the first data block, wherein the one-dimensional array represents a specific time value at each moment;
expanding the pixel minimum value and the pixel maximum value in the first data block into one-dimensional arrays respectively representing the pixel minimum value and the pixel maximum value set at the corresponding moment, and expanding the interval subdivision list into a two-dimensional array for transmitting an interval subsection number set which needs to be subdivided on the corresponding time sequence;
and expanding the second data block, constructing a time result data list of each time, and respectively containing a plurality of single data blocks.
9. The image data processing method based on multi-party interaction according to claim 1, wherein the user interaction device splits and analyzes the multi-pixel data group in the received image data to obtain the pixel estimation value in the image data, specifically:
acquiring a first data block and a second data block from a pixel data block in image data;
acquiring a pixel maximum value, a pixel minimum value and a pixel segmentation parameter set from the first data block;
generating a pixel value interval set which is sequentially arranged according to the obtained pixel segmentation parameters;
acquiring single data of all nodes or units in the second data block;
and scanning all the second data blocks, and combining the pixel value interval sets to obtain pixel estimation values in the image data of all the nodes or units.
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Application publication date: 20220906 |