CN113794899A - Cloud desktop image data transmission method, device, equipment and storage medium - Google Patents
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Abstract
The invention provides a cloud desktop image data transmission method, a cloud desktop image data transmission device, cloud desktop image data transmission equipment and a storage medium, which are used for solving the problems of cloud desktop image data transmission self-adaption and transmission efficiency. According to the technical scheme, in the cloud desktop image data transmission process, the server identifies the image of the refresh area of the current virtual machine VM cloud desktop, and selects a proper compression algorithm based on different color numbers and contrast ratios of the image data. Lossless compression is adopted for image data with single color and low contrast in the image, and lossy compression is adopted for other complex images, so that the image definition of the text content part is improved, and the occupation of image transmission bandwidth is reduced as much as possible.
Description
Technical Field
The invention relates to the technical field of computers and cloud computing, in particular to a cloud desktop image data transmission method, device, equipment and storage medium.
Background
A Virtual Desktop Infrastructure (VDI) can host a user's Desktop environment to a high-performance server in the form of a Virtual machine, and provides the user with almost the same user experience as a physical PC. An ordinary user can use the cloud desktop of the user through various terminal devices such as a PC (personal computer), a thin client and the like to complete tasks such as daily office work, and an administrator can realize visual management of all cloud desktop resources and batch deployment of the cloud desktops to meet the requirements of a large number of users. The cloud desktop management system mainly comprises a cloud desktop client, a cloud desktop transmission protocol, a cloud desktop management platform, a virtualization management platform, infrastructure components, a desktop resource pool (namely a virtual machine VM) and the like.
Based on the cloud desktop transmission protocol, in actual products and deployments, a cloud desktop transmission protocol client is generally installed on a thin terminal, and desktop data is obtained through interaction with a server. Compared to a normal physical PC. The thin terminal has low performance, and the CPU processing capacity and the GPU rendering capacity are weak. For some high-quality high-resolution images (such as 2k and 4k screens), in the cloud desktop image series processing process, when the resolution of desktop pictures generated per second is large and the number of the desktop pictures is large, the images need to be transmitted through compression. The general compression method is divided into a lossy algorithm and a lossless algorithm, wherein the lossy algorithm has high compression ratio, but images, particularly character parts, are easy to distort and blur, so that the impression of a user is influenced; lossless algorithm, the image has no distortion, but the compression ratio is low, and the occupied bandwidth is high.
The image compression algorithms adopted by the current image transmission include LZ, LZ4, Jpeg, H.264, H.265 and the like. The LZ and LZ4 algorithms are the mainstream lossless compression algorithms at present, the image is not distorted, but the compression ratio is low, and the occupied bandwidth is high. Jpeg, H.264 and H.265 are mainstream lossy compression algorithms, the compression ratio is high, but images, particularly character parts, are easy to distort and blur, and the appearance of a user is influenced.
Disclosure of Invention
In view of this, the invention provides a cloud desktop image data transmission method, a cloud desktop image data transmission device and a storage medium, which are used for solving the problems of cloud desktop image data transmission self-adaption and transmission efficiency.
On the basis of one aspect of the embodiment of the invention, the invention provides a cloud desktop image data transmission method, which is applied to a server and comprises the following steps:
before sending the image data to the cloud desktop client, counting the color number of the image data and judging whether the color number of the image data is larger than a preset color number threshold value;
if the color number of the image data is not larger than the preset color number threshold value, generating a color table, compressing the image data in a color table compression mode, and sending the color table and the compressed image data to a cloud desktop client;
if the color number of the image data is larger than the preset color number threshold value, calculating the contrast of the image data and judging whether the contrast of the image data is larger than the preset contrast threshold value or not;
and if the contrast of the image data is not greater than the preset contrast threshold value, compressing and transmitting the image data by adopting a lossless compression algorithm, and otherwise, compressing and transmitting the image data by adopting a lossy compression algorithm.
Further, the image data is three-channel RGB image data, and the preset color number threshold value is 256 basic color numbers;
the lossless compression algorithm is LZ or LZ4, and the lossy compression algorithm is JPEG, H.264 or H.265.
On the other hand, the invention provides a cloud desktop image data transmission device, which is applied to a server side and comprises:
the statistic calculation module is used for calculating the contrast of the image data when the color of the image data is counted;
the judging module is used for judging whether the color number of the image data is larger than a preset color number threshold value or not; judging whether the contrast of the image data is greater than a preset contrast threshold value or not;
the compression module is used for generating a color table and compressing the image data in a color table compression mode when the color number of the image data is not greater than the preset color number threshold value; when the color number of the image data is larger than the preset color number threshold value and the contrast of the image data is not larger than the preset contrast threshold value, compressing and transmitting the image data by adopting a lossless compression algorithm; when the color number of the image data is larger than the preset color number threshold value and the contrast of the image data is larger than the preset contrast threshold value, compressing and transmitting the image data by adopting a lossy compression algorithm;
and the transmission module is used for transmitting the color table and the compressed image data to the cloud desktop client.
Further, the image data is three-channel RGB image data, and the preset color number threshold value is 256 basic color numbers; the lossless compression algorithm is LZ or LZ4, and the lossy compression algorithm is JPEG, H.264 or H.265.
On the other hand, the present disclosure also provides a cloud desktop image data transmission method, which is applied to a cloud desktop client, and includes:
receiving image data sent by a server end, and judging a compression algorithm of the image data;
if the color table compression algorithm is judged to be adopted, decompressing the image data based on the color table received from the server;
if the lossy compression algorithm is judged to be adopted, the corresponding lossy compression algorithm is adopted to decompress the image data;
and if the lossless compression algorithm is judged to be adopted, decompressing the image data by adopting a corresponding lossless compression algorithm.
On the other hand, the present disclosure also provides a cloud desktop image data transmission device, which is applied to a cloud desktop client, and includes:
the receiving module is used for receiving the image data sent by the server end;
the compression mode judging module is used for judging the compression algorithm of the image data based on the received image data;
the decompression module is used for decompressing the image data based on the color table received from the server when the color table compression algorithm is judged to be adopted; when the lossy compression algorithm is judged to be adopted, decompressing the image data by adopting a corresponding lossy compression algorithm; and when the lossless compression algorithm is judged to be adopted, decompressing the image data by adopting a corresponding lossless compression algorithm.
According to the technical scheme, in the cloud desktop image data transmission process, the server identifies the image of the refresh area of the current virtual machine VM cloud desktop, and selects a proper compression algorithm based on different color numbers and contrast ratios of the image data. Lossless compression is adopted for image data with single color and low contrast in the image, and lossy compression is adopted for other complex images, so that the image definition of the text content part is improved, and the occupation of image transmission bandwidth is reduced as much as possible.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments of the present invention or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and for those skilled in the art, other drawings may be obtained according to the drawings of the embodiments of the present invention.
Fig. 1 is a flowchart illustrating steps of a cloud desktop image data transmission method applied to a server according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating steps of a cloud desktop image data transmission method applied to a cloud desktop client according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a cloud desktop image data transmission device applied to a server according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a cloud desktop image data transmission device applied to a cloud desktop client according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device for transmitting cloud desktop image data according to an embodiment of the present invention.
Detailed Description
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the embodiments of the invention. As used in this embodiment of the invention, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The term "and/or" as used herein is meant to encompass any and all possible combinations of one or more of the associated listed items.
It should be understood that although the terms first, second, third, etc. may be used to describe various information in embodiments of the present invention, the information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, the first information may also be referred to as second information, and similarly, the second information may also be referred to as first information, without departing from the scope of embodiments of the present invention. Depending on the context, moreover, the word "if" as used may be interpreted as "at … …" or "when … …" or "in response to a determination".
The invention aims to provide a cloud desktop image data transmission method to realize identification of cloud desktop image content, lossless compression is adopted for content which is single in color and sensitive to users (such as text areas) in an image, and lossy compression is adopted for other complex images, so that the image definition of text content parts is improved, and meanwhile, the bandwidth occupation of image transmission is reduced as much as possible.
The cloud desktop image data transmission method based on image recognition provided by the invention has the general idea that in the cloud desktop image data transmission process, a server side recognizes the image of the refresh area of the current virtual machine VM cloud desktop, and selects a proper compression algorithm based on the difference of the color number and the contrast of the image data.
Fig. 1 is a flowchart illustrating steps of a cloud desktop image data transmission method applied to a server according to an embodiment of the present invention, where the method includes:
before sending the image data to the cloud desktop client, the server quantitatively counts the color number of the image data in the refresh area of the cloud desktop of the current virtual machine VM (the image data in the refresh area needs to be sent to the client).
The image data transmitted by the cloud desktop is usually RGB three-channel image data.
in this embodiment, the threshold value of the number of colors is 256.
103, generating a color table and compressing image data by adopting a color table compression mode;
before sending the image data to the cloud desktop client, the color table needs to be sent to the cloud desktop client, and the cloud desktop client decompresses the image data by adopting the color table.
104, calculating the contrast of the image data;
in this embodiment, the image data is classified into high contrast and low contrast by a preset contrast threshold, an image larger than a preset contrast threshold is determined as a high contrast image, and an image not larger than the preset contrast threshold is determined as a low contrast image. The high contrast ratio has low requirements on image details, so that the lossy compression mode is adopted to compress image data, and the image cannot be distorted excessively. For low contrast images, the image data is compressed using a lossless compression algorithm.
the lossy compression mode can solve the problem that the bandwidth is too high when the lossless compression mode is adopted for the current image.
The lossless shackle mode is adopted to solve the problem that the image quality of the current image is distorted by adopting lossy compression.
For high-contrast images, lossy compression algorithms such as JPEG, h.264, h.265, etc. can be used to compress the image data. For low contrast images, lossless compression algorithms such as LZ and LZ4 may be used to compress the image data.
And step 108, transmitting the compressed image data to the cloud desktop client.
Fig. 2 is a flowchart illustrating steps of a cloud desktop image data transmission method applied to a cloud desktop client according to an embodiment of the present invention, where the method includes:
and 208, restoring the decompressed image data to generate RGB image data.
Fig. 3 is a schematic structural diagram of a cloud desktop image data transmission device applied to a server according to an embodiment of the present invention, and each functional module in the device 300 may be implemented by software, hardware, or a combination of software and hardware. The apparatus 300 comprises:
a statistic calculation module 301, configured to calculate a contrast of the image data when counting colors of the image data;
a determining module 302, configured to determine whether a color number of the image data is greater than a preset color number threshold; judging whether the contrast of the image data is greater than a preset contrast threshold value or not;
a compression module 303, configured to generate a color table and compress the image data in a color table compression manner when the color number of the image data is not greater than the preset color number threshold value; when the color number of the image data is larger than the preset color number threshold value and the contrast of the image data is not larger than the preset contrast threshold value, compressing and transmitting the image data by adopting a lossless compression algorithm; when the color number of the image data is larger than the preset color number threshold value and the contrast of the image data is larger than the preset contrast threshold value, compressing and transmitting the image data by adopting a lossy compression algorithm;
and a transmission module 304, configured to transmit the color table and the compressed image data to the cloud desktop client.
Fig. 4 is a schematic structural diagram of a cloud desktop image data transmission device applied to a cloud desktop client according to an embodiment of the present invention, and each functional module in the device 400 may be implemented by software, hardware, or a combination of software and hardware. The apparatus 400 comprises:
a receiving module 401, configured to receive image data sent by a server side;
a compression mode determination module 402, configured to determine a compression algorithm of the image data based on the received image data;
a decompression module 403, configured to decompress the image data based on the color chart received from the server when it is determined that the color chart compression algorithm is adopted; when the lossy compression algorithm is judged to be adopted, decompressing the image data by adopting a corresponding lossy compression algorithm; and when the lossless compression algorithm is judged to be adopted, decompressing the image data by adopting a corresponding lossless compression algorithm.
Fig. 5 is a schematic structural diagram of an electronic device for transmitting cloud desktop image data according to an embodiment of the present invention, where the device 500 includes: a processor 510 such as a Central Processing Unit (CPU), a communication bus 520, a communication interface 540, and a storage medium 530. Wherein the processor 510 and the storage medium 530 may communicate with each other through a communication bus 520. The storage medium 530 stores a computer program, such as the aforementioned apparatus 300 or apparatus 400, which can be implemented in the storage medium 530 as a software module, and when the computer program in the storage medium 530 is executed by the processor 510, the functions of the steps of the method provided by the present invention can be implemented.
The storage medium may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. In addition, the storage medium may be at least one memory device located remotely from the processor. The Processor may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), etc.; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
It should be recognized that embodiments of the present invention can be realized and implemented by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory memory. The method may be implemented in a computer program using standard programming techniques, including a non-transitory storage medium configured with the computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose. Further, operations of processes described herein may be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described herein (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) collectively executed on one or more processors, by hardware, or combinations thereof. The computer program includes a plurality of instructions executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable interface, including but not limited to a personal computer, mini computer, mainframe, workstation, networked or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and the like. Aspects of the invention may be embodied in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optically read and/or write storage medium, RAM, ROM, or the like, such that it may be read by a programmable computer, which when read by the storage medium or device, is operative to configure and operate the computer to perform the procedures described herein. Further, the machine-readable code, or portions thereof, may be transmitted over a wired or wireless network. The present invention includes these and other different types of non-transitory computer-readable storage media when such media include instructions or programs that implement the above-described steps in conjunction with a microprocessor or other data processor. The invention also includes the computer itself when programmed according to the methods and techniques described herein.
The above description is only an example of the present invention, and is not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A cloud desktop image data transmission method is applied to a server side, and comprises the following steps:
before sending the image data to the cloud desktop client, counting the color number of the image data and judging whether the color number of the image data is larger than a preset color number threshold value;
if the color number of the image data is not larger than the preset color number threshold value, generating a color table, compressing the image data in a color table compression mode, and sending the color table and the compressed image data to a cloud desktop client;
if the color number of the image data is larger than the preset color number threshold value, calculating the contrast of the image data and judging whether the contrast of the image data is larger than the preset contrast threshold value or not;
and if the contrast of the image data is not greater than the preset contrast threshold value, compressing and transmitting the image data by adopting a lossless compression algorithm, and otherwise, compressing and transmitting the image data by adopting a lossy compression algorithm.
2. The method of claim 1,
the image data is three-channel RGB image data, and the preset color number threshold value is 256 basic color numbers;
the lossless compression algorithm is LZ or LZ4, and the lossy compression algorithm is JPEG, H.264 or H.265.
3. The cloud desktop image data transmission device is applied to a server side, and comprises the following components:
the statistic calculation module is used for calculating the contrast of the image data when the color of the image data is counted;
the judging module is used for judging whether the color number of the image data is larger than a preset color number threshold value or not; judging whether the contrast of the image data is greater than a preset contrast threshold value or not;
the compression module is used for generating a color table and compressing the image data in a color table compression mode when the color number of the image data is not greater than the preset color number threshold value; when the color number of the image data is larger than the preset color number threshold value and the contrast of the image data is not larger than the preset contrast threshold value, compressing and transmitting the image data by adopting a lossless compression algorithm; when the color number of the image data is larger than the preset color number threshold value and the contrast of the image data is larger than the preset contrast threshold value, compressing and transmitting the image data by adopting a lossy compression algorithm;
and the transmission module is used for transmitting the color table and the compressed image data to the cloud desktop client.
4. The apparatus of claim 3,
the image data is three-channel RGB image data, and the preset color number threshold value is 256 basic color numbers; the lossless compression algorithm is LZ or LZ4, and the lossy compression algorithm is JPEG, H.264 or H.265.
5. A cloud desktop image data transmission method is applied to a cloud desktop client, and comprises the following steps:
receiving image data sent by a server end, and judging a compression algorithm of the image data;
if the color table compression algorithm is judged to be adopted, decompressing the image data based on the color table received from the server;
if the lossy compression algorithm is judged to be adopted, the corresponding lossy compression algorithm is adopted to decompress the image data;
and if the lossless compression algorithm is judged to be adopted, decompressing the image data by adopting a corresponding lossless compression algorithm.
6. The method of claim 5,
the image data is three-channel RGB image data, and the preset color number threshold value is 256 basic color numbers;
the lossless compression algorithm is LZ or LZ4, and the lossy compression algorithm is JPEG, H.264 or H.265.
7. The cloud desktop image data transmission device is applied to a cloud desktop client, and comprises:
the receiving module is used for receiving the image data sent by the server end;
the compression mode judging module is used for judging the compression algorithm of the image data based on the received image data;
the decompression module is used for decompressing the image data based on the color table received from the server when the color table compression algorithm is judged to be adopted; when the lossy compression algorithm is judged to be adopted, decompressing the image data by adopting a corresponding lossy compression algorithm; and when the lossless compression algorithm is judged to be adopted, decompressing the image data by adopting a corresponding lossless compression algorithm.
8. The apparatus of claim 7,
the image data is three-channel RGB image data, and the preset color number threshold value is 256 basic color numbers;
the lossless compression algorithm is LZ or LZ4, and the lossy compression algorithm is JPEG, H.264 or H.265.
9. An electronic device is characterized by comprising a processor, a communication interface, a storage medium and a communication bus, wherein the processor, the communication interface and the storage medium are communicated with each other through the communication bus;
a storage medium for storing a computer program;
a processor for performing the method steps of any one of claims 1, 2, 5 or 6 when executing a computer program stored on a storage medium.
10. A storage medium having stored thereon a computer program, characterized in that the computer program, when being executed by a processor, carries out the method steps of any one of claims 1, 2, 5 or 6.
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| CN114339305A (en) * | 2021-12-22 | 2022-04-12 | 深信服科技股份有限公司 | Virtual desktop image processing method and related device |
| CN116781906A (en) * | 2023-07-03 | 2023-09-19 | 深圳市青葡萄科技有限公司 | Image-text definition optimization method, image-text definition optimization equipment and storage medium |
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