CN114153411B - Remote terminal control-oriented image optimization transmission system - Google Patents
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- 230000005540 biological transmission Effects 0.000 title claims abstract description 30
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- 238000007906 compression Methods 0.000 claims abstract description 28
- 238000012545 processing Methods 0.000 claims abstract description 25
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- 230000001360 synchronised effect Effects 0.000 claims abstract description 3
- 239000000872 buffer Substances 0.000 claims description 17
- 238000000034 method Methods 0.000 claims description 11
- 238000003780 insertion Methods 0.000 claims description 7
- 230000037431 insertion Effects 0.000 claims description 7
- 230000006870 function Effects 0.000 claims description 6
- 230000001960 triggered effect Effects 0.000 claims description 3
- 230000009365 direct transmission Effects 0.000 claims description 2
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- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/14—Digital output to display device ; Cooperation and interconnection of the display device with other functional units
- G06F3/1454—Digital output to display device ; Cooperation and interconnection of the display device with other functional units involving copying of the display data of a local workstation or window to a remote workstation or window so that an actual copy of the data is displayed simultaneously on two or more displays, e.g. teledisplay
- G06F3/1462—Digital output to display device ; Cooperation and interconnection of the display device with other functional units involving copying of the display data of a local workstation or window to a remote workstation or window so that an actual copy of the data is displayed simultaneously on two or more displays, e.g. teledisplay with means for detecting differences between the image stored in the host and the images displayed on the remote displays
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
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Abstract
An image optimization transmission system for remote terminal control, comprising: the system comprises a window detection module, an image real-time processing module, a data sending module and a data receiving module, wherein the window detection module, the image real-time processing module and the data receiving module are positioned at a server side, and the data receiving module is positioned at a client side, wherein: the background window detection module identifies and extracts a hash update cache of window calculation image blocks of the desktop screen image, the image real-time processing module carries out cache access after carrying out real-time image block processing on the equipment, an image compression mode is determined according to a hit result, the data transmission module transmits compressed image data to the client, and the data receiving module decompresses the image data and combines with a local synchronous cache to obtain the current equipment screen image content. The invention obviously reduces the image data transmission redundancy through window detection and block cache.
Description
Technical Field
The invention relates to a technology in the field of computer remote control, in particular to an image optimization transmission system facing remote terminal control based on window detection block cache.
Background
Remote terminal management and control systems typically require more intuitive monitoring and control of devices using a remote desktop, where the transmission of bitmap information for images occupies a significant amount of network bandwidth. One common optimization method is to reduce image quality by image compression, and network delay can be reduced by compressed data transmission. And the other is to use image buffer, the sender and the receiver need to maintain the same buffer structure at the same time, and only need to transmit instruction information by accessing the buffer to find repeated data during transmission. The existing solution generally adopts a static buffer to store preset image bitmap information, and then performs differential compression transmission based on the two frames before and after image block comparison. Because static caching is adopted, and the cached object is generally a desktop image, the cache hit effect of a screen after long-time use operation is not ideal.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an image optimization transmission system for remote terminal control, which reduces the redundancy of image data transmission based on window detection and block caching.
The invention is realized by the following technical scheme:
the invention relates to an image optimization transmission system oriented to remote terminal control, which comprises: the system comprises a window detection module, an image real-time processing module, a data sending module and a data receiving module, wherein the window detection module, the image real-time processing module and the data receiving module are positioned at a server side, and the data receiving module is positioned at a client side, wherein: the window detection module performs identification positioning on a rectangular frame applied to a window based on an openCV image processing method, calculates hash values in blocks and inserts local block cache contents; the image real-time processing module performs difference block processing on the image and performs cache access according to the hash value of the block, namely calculates the hash value of the difference block of the real-time image of the front frame and the rear frame of the equipment screen shot, and inquires whether the local block cache content is hit or not; the data sending module selects a compression mode of corresponding image data according to the hit result, constructs a control head and a data segment to be transmitted and sends the control head and the data segment to the client, so that synchronization of current image data and synchronization of cache information are realized; and after decompression, the data receiving module constructs the cache information in combination with the local cache content, synchronously caches the cache information and calculates the current screen image content.
And the identification is carried out, namely, a window scanning is triggered by monitoring a clicking event through a mouse button, namely, a difference value change area is calculated by the front frame image information and the rear frame image information.
The update cache refers to: when the background window detection module detects success, two parts of cache contents are added at the same time, the front frame is used for caching a window area, which is used for storing a background image covered before window creation, and when the window is closed, cache inquiry hits to roll back quickly (bak cache); the subsequent frame is to buffer the newly added window to the window area buffer, and the subsequent operation of re-opening the window triggers a buffer hit to reduce data transmission (cur cache).
The graphic blocking processing refers to: after dividing the screen image into 256 blocks of 16×16, the image blocks are ID-numbered.
The hash of the calculated image block refers to: mapping the original information of the picture to a shorter data string to realize quick comparison and retrieval of the image, specifically: interpolation, graying, DCT change and quantization are carried out on the unit image block through a perception hash generation algorithm, and after a one-dimensional vector which is 64 bits in length and consists of 0 and 1 is recorded as a content hash value of the block, the similarity of the image block is calculated through calculation of a Hamming distance.
Preferably, the data transmitting module performs retransmission through secondary verification to make up for error checking errors with small probability in the perceptual hash generation algorithm.
The block cache refers to: and positioning the rectangular window area obtained by the cache window detection method to the changed image block, and then inserting the update data into a chain structure maintained by the image block.
Preferably, the block cache adopts a doubly linked list and hash cache structure of LinkedList and hashmap, and the structure comprises: the hash value is used for retrieving the contrast cache image block, and the time meta information and the data pointer are used for executing the replacement policy cache insertion.
The block cache employs a Least Recently Used (LRU) or FIFO algorithm.
The cache access includes: (1) when the foreground image transmission is preprocessed, calculating the difference value of two frames before and after the current moment to find out a changed image block, and performing cache access according to the block ID. And if the cache hit occurs, the image block ID and the image block hash are transmitted, and if the cache hit does not occur, the cache insertion update is not performed, and the complete data of the image change block is directly transmitted. Because a change block cache miss indicates that it is likely that the dynamic content of the window is changing and does not have recurring cache characteristics. When the cache is inserted, cache replacement frequently occurs, and the cache content which should be resident and reproduced is replaced. (2) And when the background window detection module processes, detecting a rectangular window, and performing cache access. And if the cache hit occurs, continuing skipping, and if the cache miss occurs, performing image block cache insertion.
The determining the image compression mode according to the hit result comprises the following steps: lossy compression and reversible lossless compression, wherein: analyzing the position of a window area by a window detection module, storing the position of the window area as a whole in a lossy compression mode, and correspondingly, caching the data transmission path after hit; and judging that other areas are the desktop background image layer or window local dynamic content update, ensuring the image quality by using a lossless compression algorithm RLE, and corresponding to a direct transmission path of the block difference value.
The lossless compression is realized by using but not limited to run length coding (RLE), and the lossy compression is realized by using but not limited to jpeg compression algorithm.
Technical effects
Compared with the prior art, the data transmission occupies smaller network bandwidth due to the adoption of a specific image caching and image compression scheme. Under the real scene use test, the cache hit rate under the cache replacement strategy based on the LRU is 37%, and the real-time image is compared with an open source scheme, so that the network delay is reduced by 58%.
Drawings
FIG. 1 is a workflow of a window detection module and a data synchronization module in an embodiment;
FIG. 2 is a workflow of a real-time image processing module and a data synchronization module in an embodiment;
FIG. 3 is a schematic diagram of a system module according to the present invention.
Detailed Description
The embodiment relates to an image optimization transmission method facing remote terminal control according to the system, which comprises a window detection and cache data synchronization stage and a real-time image processing and image data synchronization stage.
As shown in fig. 1, the window detection and cache data synchronization stage includes:
step (1): the remote control module of the server monitors the mouse button, when the mouse button is monitored to have clicking operation, the window cache detection module is triggered within the duration (configurable, default 20 frames are continuous), the difference value calculation is carried out on two continuous frames of images, and similar non-change points are removed to obtain a difference value image.
Step (2): and (3) applying an image processing opencv library function in the change point to perform edge detection on the canny or using multiple threshold binarization.
Step (3): the final functions find the contours, and the appxpolydp functions are used to obtain the polygonal contours, finding the quadrilaterals that are convex in shape.
Step (4): and judging that the cosine of the included angle (the angle is 90 degrees) of every two adjacent straight lines in the judging outline accords with the rectangular window, and judging that the application window exists in the continuous area when the length, the width and the area are within the given threshold range.
Step (5): if the rectangular window detection is unsuccessful, the current flow ends. If the detection is successful, respectively performing image compression on the detection areas (corresponding to the bakcache and the cur cache) of the front frame and the rear frame, and adopting a jpeg method for lossy compression.
Step (6): and calculating the hash value of the image block, inquiring the cache structure in the memory, searching the existing cache chain through the block ID, and if the hash value of the hit cache block is matched, ending the current flow.
Step (7): and (3) performing cache insertion when the cache is not hit, and recording the hash value of the current image block, updating time meta-information and a data block pointer by the cache chain node. And when the cache chain data is full, triggering a cache elimination algorithm to perform policy replacement. And meanwhile, after the server side finishes executing the operation, a message is sent, and the synchronous client side establishes a cache structure. And sending a message header buffer hit bit flag=01, wherein the message data is compressed block data.
As shown in fig. 2, the real-time image processing and image data synchronization stage includes:
step one: and the remote desktop receives the real-time image transmitted by the equipment end in real time, and the image is subjected to standardization processing and then is segmented to calculate the difference value.
Step two: the difference block calculates the image block hash, accesses the cache structure through the block ID, respectively searches the cache data chain corresponding to the block ID, matches the hash value of the stored data, and detects the cache hit.
Step three: and (3) carrying out lossless compression on the original image data without hit in the cache, wherein an RLE method is adopted in a compression algorithm. Message header buffer hit bit flag=00, compressed data is filled into message data portion.
Step four: and if the cache hits, transmitting control command information, wherein the message header cache hits bit flag=10, compressing the control information (the image difference value change block ID+the difference value block hash value), and filling the compressed control information into a message data part.
Step five: and (3) carrying out data transmission on the optimized image information, and directly decompressing the information by a user client through reading the information, wherein flag=00 to obtain image change data. And accessing and reading a client cache value according to the block ID+hash value, and decompressing to obtain image change data.
Step six: when an abnormal condition (a server, a client is abnormally restarted), the client cache and the server cache maintain data inconsistent, and the client receives flag=10 and cannot find the cache content of the memory of the host, so that the fifth step fails. The client side carries an original request head to re-request the server side, the server side analyzes the data of the block ID and the block hash, and re-sends a message head buffer memory location bit flag=01, wherein the message data is compressed block data.
As shown in fig. 3, a system for implementing the method according to this embodiment includes: the system comprises a window detection module, an image real-time processing module, a data sending module and a data receiving module, wherein the window detection module, the image real-time processing module and the data receiving module are positioned at a server side. Through specific practical experiments, the server sets a maximum limit of 512M under the linux machine of the 8-core 64G, the storage strategy is updated and selected by using the LRU strategy, the real-time image of the equipment side is transmitted to the server side (30 FPS) according to the RDP protocol, the resolution of the image of the equipment side is from 800X 600 to 1920X 108010, the real-time image processing module is used for lossy compression and selecting a jpeg algorithm, the RLE algorithm is used for lossless compression and the image network delay is reduced by about 58% under the premise of ensuring the certain image quality (PSNR value measurement).
The foregoing embodiments may be partially modified in numerous ways by those skilled in the art without departing from the principles and spirit of the invention, the scope of which is defined in the claims and not by the foregoing embodiments, and all such implementations are within the scope of the invention.
Claims (6)
1. An image optimization transmission system for remote terminal control, comprising: the system comprises a window detection module, an image real-time processing module, a data sending module and a data receiving module, wherein the window detection module, the image real-time processing module and the data receiving module are positioned at a server side, and the data receiving module is positioned at a client side, wherein: the window detection module performs identification positioning on a rectangular frame applied to a window based on an openCV image processing method, calculates hash values in blocks and inserts local block cache contents; the image real-time processing module performs difference block processing on the image and performs cache access according to the hash value of the block, namely calculates the hash value of the difference block of the real-time image of the front frame and the rear frame of the equipment screen shot, and inquires whether the local block cache content is hit or not; the data sending module selects a compression mode of corresponding image data according to the hit result, constructs a control head and a data segment to be transmitted and sends the control head and the data segment to the client, so that synchronization of current image data and synchronization of cache information are realized; the data receiving module is decompressed, the cache information in the data receiving module is combined with the local cache content to construct, and the data receiving module synchronously caches and calculates the current screen image content;
the block cache refers to: positioning a rectangular window area obtained by a cache window detection method to a changed image block, and then inserting update data into a chain structure maintained by the image block;
the block cache adopts a bidirectional chain table and hash cache structure of LinkedList and hashmap, and the structure comprises: the method comprises the steps of searching a hash value of a comparison cache image block, and executing replacement policy cache insertion time meta information and a data pointer;
when the background window detection module detects success, two parts of cache contents are added at the same time, the front frame caches the window area by storing a background image covered before window creation, and the cache queries hit to roll back quickly when the window is closed; the buffer memory of the window area is a buffer memory newly added window, and the subsequent operation of opening the window again triggers buffer memory hit to reduce data transmission;
the calculating of the hash value according to the difference block of the two frames of real-time images before and after the equipment screen capturing means that: mapping the original information of the picture to a shorter data string to realize quick comparison and retrieval of the image, specifically: interpolation, graying, DCT change and quantization are carried out on the unit image block through a perception hash generation algorithm, and after a one-dimensional vector which is 64 bits in length and consists of 0 and 1 is recorded as a content hash value of the block, the similarity of the image block is calculated through calculation of a Hamming distance.
2. The remote terminal-oriented image optimization transmission system according to claim 1, wherein the data transmission module performs retransmission through secondary verification to compensate error detection with small probability in the perceptual hash generation algorithm.
3. The remote terminal-oriented image optimized transmission system of claim 1, wherein said cache access comprises: (1) when the foreground image transmission is preprocessed, calculating the difference value of two frames before and after the current moment to find a changed image block, and performing cache access according to the block ID; when the cache hits, the image block ID and the image block hash are transmitted, otherwise, the cache insertion update is not performed, and the complete data of the image change block is directly transmitted; (2) and when the background window detection module processes, detecting a rectangular window, performing cache access, and skipping for continuing when the cache hits, otherwise, performing image block cache insertion.
4. The remote terminal-oriented image optimization transmission system according to claim 1, wherein the determining the image compression mode according to the hit result comprises: lossy compression and reversible lossless compression, wherein: analyzing the position of a window area by a window detection module, storing the position of the window area as a whole in a lossy compression mode, and correspondingly, caching the data transmission path after hit; and judging other areas to update the local dynamic content of the desktop background layer or the window, ensuring the quality of the image by using a lossless compression algorithm RLE, and corresponding to a direct transmission path of the block difference value.
5. The remote terminal-oriented image optimization transmission method of the system according to any one of claims 1 to 4, comprising: a window detection and cache data synchronization stage and a real-time image processing and image data synchronization stage, wherein
The window detection and cache data synchronization stage comprises the following steps:
step (1): the remote control module of the server monitors a mouse button, when the mouse button is monitored to have clicking operation, the window cache detection module is triggered within the duration time, two continuous frames of images are subjected to difference calculation, and similar non-change points are removed to obtain a difference image;
step (2): applying an image processing opencv library function in the change point to carry out edge detection on canny or using multiple threshold binarization;
step (3): finding a contour by using a findContours function, obtaining a polygonal contour by using an appxpolyDP function, and finding a quadrilateral with a convex shape;
step (4): judging that cosine of included angles of every two adjacent straight lines in the outline accords with a rectangular window, and judging that an application window exists in the rectangular window when the length, the width and the area are within a given threshold range;
step (5): if the rectangular window detection is unsuccessful, ending the current flow; if the detection is successful, respectively carrying out image compression on the front and rear frame detection areas;
step (6): calculating the hash value of the image block, inquiring the cache structure in the memory, searching the existing cache chain through the block ID, and if the hash value of the hit cache block is matched, ending the current flow;
step (7): the cache is inserted when the cache is not hit, and the cache chain node records the hash value of the current image block, updates time meta information and a data block pointer; when the cache chain data is full, triggering a cache elimination algorithm to perform policy replacement; meanwhile, the server side sends a message after finishing the operation, and the synchronous client side establishes a cache structure; transmitting a message header buffer hit bit flag=01, and the message data is compressed block data;
the real-time image processing and image data synchronization stage comprises the following steps:
step one: the remote desktop receives the real-time image transmitted by the equipment end in real time, and the image is subjected to standardization processing and then is segmented to calculate the difference value;
step two: the difference block calculates the image block hash, accesses the cache structure through the block ID, respectively searches the cache data chain corresponding to the block ID, matches the hash value of the stored data, and detects the cache hit;
step three: the cache is not hit, the original data of the image is subjected to lossless compression, and an RLE method is adopted in a compression algorithm; message header buffer hit bit flag=00, compressed data is filled into message data part;
step four: transmitting control command information when the buffer hits, wherein the message header buffers hit bit flag=10, and taking the image difference value change block ID+difference value block hash value as control information to compress and fill in a message data part;
step five: the optimized image information is subjected to data transmission, and the user client side directly decompresses the message to obtain image change data by reading the message, wherein flag=00; and accessing and reading a client cache value according to the block ID+hash value, and decompressing to obtain image change data.
6. The method for optimized transmission of remote terminal-oriented image according to claim 5, wherein when the server and/or the client are/is restarted, the client cache and/or the server cache maintain data inconsistent, and the client receives a flag=10 and cannot find the cache content of the host memory, the client requests the server again with the original request header, the server parses out the data of block id+block hash, resends the message header cache hit bit flag=01, and the message data is compressed block data.
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