CN107592553A - A kind of compression of images agency balance processing method and processing device - Google Patents

A kind of compression of images agency balance processing method and processing device Download PDF

Info

Publication number
CN107592553A
CN107592553A CN201710780109.5A CN201710780109A CN107592553A CN 107592553 A CN107592553 A CN 107592553A CN 201710780109 A CN201710780109 A CN 201710780109A CN 107592553 A CN107592553 A CN 107592553A
Authority
CN
China
Prior art keywords
compression
compressed
described image
format
request
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201710780109.5A
Other languages
Chinese (zh)
Other versions
CN107592553B (en
Inventor
张子帆
刘云浩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tsinghua University
Original Assignee
Tsinghua University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tsinghua University filed Critical Tsinghua University
Priority to CN201710780109.5A priority Critical patent/CN107592553B/en
Publication of CN107592553A publication Critical patent/CN107592553A/en
Application granted granted Critical
Publication of CN107592553B publication Critical patent/CN107592553B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The embodiment of the invention discloses a kind of compression of images to act on behalf of balance processing method and processing device, and method includes:The web page browsing request that first terminal is sent is received, web page browsing request includes user's request;Web page browsing request is sent to second terminal, and receives the image resource of second terminal return;Image compression format and target compression factor are determined according to the user's request and described image resource, and described image resource are compressed according to described image compressed format and the target compression factor, obtains compressed images;The compressed images are sent to the first terminal.Forwarded by web page browsing request of the proxy terminal to first terminal, and the image resource returned to second terminal is compressed processing, image compression format is obtained with reference to user's request and target compression factor obtains compressed images, user's request can be combined, optimize the performance of compression of images agency, the compression of images effect for best suiting user's request is obtained, lifts Consumer's Experience.

Description

A kind of compression of images agency balance processing method and processing device
Technical field
The present embodiments relate to Internet technical field, and in particular to a kind of compression of images agency balance processing method and Device.
Background technology
With the high speed development of proposition and the cloud computing of Web2.0 concepts, Web applications have been assigned more interactive functions, Rather than just simple web page browing and document sharing.The dependence that people apply to Web has been deepened in the rise of mobile Internet, Mobile terminal access also turns into the main access way of internet, and increasing website also begins to consider mobile terminal visitor in design The demand at family.
However, the access of existing mobile terminal there is data cost it is higher the problem of, according to statistics, image flow then occupies net More than half of page flow, appropriate compression is carried out to image can obtain great income.In order to save the use of data traffic, People save cost of the user in web page browsing by compressed webpage content.Loading that can be to webpage is compressed to image The quality of time and image in itself impacts, and a kind of trade-off relationship be present among this.Simultaneously the demand of different user also it is each not It is identical, the compression of images effect for best suiting user's request how is obtained as the technical problem that urgent need solves at present.
The content of the invention
Because existing method has above mentioned problem, the embodiment of the present invention proposes a kind of compression of images agency balance processing method And device.
In a first aspect, the embodiment of the present invention proposes a kind of compression of images agency balance processing method, including:
The web page browsing request that first terminal is sent is received, the web page browsing request includes user's request;
Web page browsing request is sent to second terminal, and receives the image resource that the second terminal returns;
Image compression format and target compression factor are determined according to the user's request and described image resource, and according to institute State image compression format and the target compression factor is compressed to described image resource, obtain compressed images;
The compressed images are sent to the first terminal.
Alternatively, it is described according to the user's request and described image resource determine image compression format and targeted compression because Son, and described image resource is compressed according to described image compressed format and the target compression factor, after obtaining compression Image, specifically include:
Image compression format and target compression factor are determined according to the user's request and described image resource;
If judgement knows that described image compressed format supports the first preset format, according to first preset format and institute State target compression factor to be compressed described image resource, obtain image after the processing of first preset format;
If judge know that described image compressed format does not support first preset format, according to the targeted compression because Son is compressed to described image resource, obtains image after the processing of the second preset format;
If described image resource is Dynamic Graph and determines to allow to compress according to described image compressed format, by the processing Compression of images is converted to the compressed images of static state afterwards.
Alternatively, it is described according to the user's request and described image resource determine image compression format and targeted compression because Son, specifically include:
Image compression format is determined according to the user's request, is predicted to obtain target pressure according to the size of described image resource Contracting ratio, structural similarity index is calculated according to the size of described image resource and the target compression ratio, and according to described Structural similarity index determines target compression factor.
Alternatively, methods described also includes:
Obtain the first file size, the second file size of the compressed images and the described image of described image resource The URL of resource;
According to first file size and second file size, compression ratio is calculated and saves flow value;
The compression ratio, the saving flow value and the URL are recorded in journal file.
Alternatively, the user's request includes several image quality ranks, each image quality rank use corresponding to it is pre- If character representation.
Second aspect, the embodiment of the present invention also propose a kind of compression of images agency balance processing unit, including:
Request receiving module, for receiving the web page browsing request of first terminal transmission, the web page browsing request includes User's request;
Request sending module, for web page browsing request to be sent to second terminal, and receive the second terminal The image resource of return;
Image compression module, for determining image compression format and target according to the user's request and described image resource Compressibility factor, and described image resource is compressed according to described image compressed format and the target compression factor, obtain Compressed images;
Image sending module, for the compressed images to be sent to the first terminal.
Alternatively, described image compression module specifically includes:
Form determining unit, for determining image compression format and target according to the user's request and described image resource Compressibility factor;
First processing units, if for judging to know that described image compressed format supports the first preset format, according to institute State the first preset format and the target compression factor is compressed to described image resource, obtain first preset format Image after processing;
Second processing unit, if for judging to know that described image compressed format does not support first preset format, Described image resource is compressed according to the target compression factor, obtains image after the processing of the second preset format;
Image conversion unit, if being Dynamic Graph for described image resource and determining to allow according to described image compressed format Compression, then compression of images after the processing is converted to the compressed images of static state.
Alternatively, described image compression module is specifically used for determining image compression format according to the user's request, according to The size of described image resource is predicted to obtain target compression ratio, according to the size of described image resource and the target compression ratio meter Calculation obtains structural similarity index, and determines target compression factor according to the structural similarity index.
The third aspect, the embodiment of the present invention also propose a kind of electronic equipment, including:
At least one processor;And
At least one memory being connected with the processor communication, wherein:
The memory storage has and by the programmed instruction of the computing device, the processor described program can be called to refer to Order is able to carry out the above method.
Fourth aspect, the embodiment of the present invention also propose a kind of non-transient computer readable storage medium storing program for executing, the non-transient meter Calculation machine readable storage medium storing program for executing stores computer program, and the computer program makes the computer perform the above method.
As shown from the above technical solution, the embodiment of the present invention by web page browsing of the proxy terminal to first terminal ask into Row forwarding, and to second terminal return image resource be compressed processing, with reference to user's request obtain image compression format with Target compression factor obtains compressed images, can combine user's request, the performance of optimization compression of images agency, be best suited The compression of images effect of user's request, lift Consumer's Experience.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with Other accompanying drawings are obtained according to these figures.
Fig. 1 is a kind of schematic flow sheet for compression of images agency's balance processing method that one embodiment of the invention provides;
Fig. 2 is a kind of schematic flow sheet for compression of images agency's balance processing method that another embodiment of the present invention provides;
Fig. 3 is a kind of structural representation for compression of images agency's balance processing unit that one embodiment of the invention provides;
Fig. 4 is the logic diagram for the electronic equipment that one embodiment of the invention provides.
Embodiment
Below in conjunction with the accompanying drawings, the embodiment of the present invention is further described.Following examples are only used for more Clearly demonstrate technical scheme, and can not be limited the scope of the invention with this.
Fig. 1 shows a kind of schematic flow sheet for compression of images agency's balance processing method that the present embodiment provides, including:
S101, the web page browsing request that first terminal is sent is received, the web page browsing request includes user's request;
Wherein, the user's request includes several image quality ranks, is preset corresponding to each image quality rank use Character representation.
Specifically, user's request can be added in the header of HTTP request (web page browsing request), in HTTP request Middle message field (MFLD) of the addition containing user's request, the input form of user's request is picture quality rank, and picture quality can be divided into 1 ~5 five ranks, with such as { quality in HTTP request message:1 } form is sent.
In general, compressed webpage content is generally realized by developing the compression proxy terminal of webpage, compresses proxy terminal Mainly data are compressed by compressing the form of image and compressed text.Therefore compression proxy terminal receives first terminal hair The web page browsing request sent.
S102, web page browsing request sent to second terminal, and receive the image money that the second terminal returns Source;
S103, image compression format and target compression factor determined according to the user's request and described image resource, and Described image resource is compressed according to described image compressed format and the target compression factor, obtains compressed images;
S104, the compressed images are sent to the first terminal.
The present embodiment is forwarded by web page browsing request of the proxy terminal to first terminal, and second terminal is returned Image resource be compressed processing, with reference to user's request obtain image compression format and target compression factor compressed after scheme Picture, user's request can be combined, the performance of optimization compression of images agency, obtains the compression of images effect for best suiting user's request, Lift Consumer's Experience.
Further, on the basis of above method embodiment, S103 is specifically included:
S1031, image compression format and target compression factor determined according to the user's request and described image resource;
If S1032, judgement know that described image compressed format supports the first preset format, according to the described first default lattice Formula and the target compression factor are compressed to described image resource, obtain image after the processing of first preset format;
If S1033, judgement know that described image compressed format does not support first preset format, according to the target Compressibility factor is compressed to described image resource, obtains image after the processing of the second preset format;
If S1034, described image resource are Dynamic Graph and determine to allow to compress according to described image compressed format, by institute Compression of images is converted to static compressed images after stating processing.
Specifically, the header in the HTTP request that compression proxy terminal is sent according to first terminal judges that first terminal is No support WebP format pictures, if supporting that by picture compression be WebP forms, the boil down to jpeg format if not supporting, after It is continuous to determine whether to be compressed dynamic picture by header, be converted to if it is allowed, being compressed to dynamic picture Static images.
By setting the first preset format, it is easy to be directly compressible into the image of preset format.
Further, on the basis of above method embodiment, S103 is specifically included:
Image compression format is determined according to the user's request, is predicted to obtain target pressure according to the size of described image resource Contracting ratio, structural similarity index is calculated according to the size of described image resource and the target compression ratio, and according to described Structural similarity index determines target compression factor.
The corresponding relation of different size type picture size and compressibility factor is locally stored in compression proxy terminal, when it is determined that After compressibility factor scope, picture file size that can be after pre- measured compressed.Attributional analysis before and after the picture compression refers to Mark is analyzed using structural similarity index.
Proxy terminal is compressed after pre- measured compressed after possible picture size, and possible image file is big after calculating compression Small reduction ratio, and the structural similarity index before and after picture compression is calculated, weighed structural similarity index as picture quality Figureofmerit, computer b internal records the weight coefficient corresponding to different user demands.Compression agent capabilities computational methods be Weigh coefficient and compression ratio and picture quality index sum.According to different customer demands, select different image files big The weight coefficient of small reduction ratio and picture quality, the compression agent capabilities highest compressibility factor in the case where meeting user's request is calculated, It is determined that current optimal Compression Strategies.
Further, on the basis of above method embodiment, methods described also includes:
S105, the first file size, the second file size of the compressed images and the institute for obtaining described image resource State the URL of image resource;
S106, according to first file size and second file size, compression ratio is calculated and saves flow Value;
S107, by the compression ratio, it is described saving flow value and the URL be recorded in journal file.
Wherein, the file size before and after method and compressing file of the statistics form of journal file also including compressing file.
Specifically, in practice, first terminal is computer a, and second terminal is computer c, compresses proxy terminal For computer b, then actual execution step is as follows:
A1, computer a add the message field (MFLD) containing user's request when accessing any webpage in HTTP request, use The input form of family demand is picture quality rank;
A2, computer a asks to be sent to computer b and acted on behalf of when accessing the webpage that computer c is provided, meter Calculation machine b parses user's request field therein after it have received computer a request, determines the demand of user, and please by HTTP Ask and be sent to computer c forward;
The resource that A3, computer c ask computer a is first sent to computer b, and computer b is receiving the money of request After source, picture resource therein is handled.
Wherein, processing of the computer b to picture resource comprises the following steps:
A31, the computer b support picture/mb-type according to computer a clients, determine the compressed format of picture compression, Further comprise:
The header that A32, computer b are have issued according to computer a in HTTP request judges whether client supports WebP Format picture, if it is WebP forms to support picture compression, the boil down to jpeg format if not supporting, continue through Header is determined whether to be compressed dynamic picture, and static map is converted to if it is allowed, being compressed to dynamic picture Piece.
A33, the computer b, such as resolution ratio, screen height width, determine picture pressure according to computer a client-side informations The scope of contracting;
The picture resource that A34, the computer b return according to computer c, determines picture size, true according to user's request Recognize possible compressibility factor, the picture size after corresponding compressibility factor compression is predicted, if picture size is more than original after compression Picture, then without compression;
A35, the computer b after possible picture size, calculate possible image text after compression after pre- measured compressed The big small reduction ratio of part, and the structural similarity index before and after picture compression is calculated, using structural similarity index as picture product Matter measurement index, computer b internal records the weight coefficient corresponding to different user demands.Compress the calculating side of agent capabilities Method for balance coefficient and compression ratio and picture quality index and.According to different customer demands, different image texts is selected The weight coefficient of the big small reduction ratio of part and picture quality, calculate compressed in the case where meeting user's request the compression of agent capabilities highests because Son, it is determined that current optimal Compression Strategies;
A36, the computer b to picture resource after being compressed, in the front and rear text of journal file acceptance of the bid injection pressure contracting Part size, the compression ratio before and after recording compressed, and the flow of consumption is counted, url, the text of the statistics formatted file of daily record The method of part compression, the file size before and after compressing file, compression ratio;
Resource after compression is sent to the computer a by A37, the computer b, and flow use information is fed back to Computer a;
For the operating process of clearer explanation the present embodiment, referring to Fig. 2, specifically include:
S201, computer a send HTTP request to computer c, and customer demand is added in the header of HTTP request, visitor Family demand is picture quality rank;
The access of S202, computer b Agent Computers a to computer c, HTTP request is sent by computer a Header is confirmed whether to need to compress, if needs to compress dynamic picture, confirms compressed format according to client terminal attribute;
After S203, the certain compressed formats of computer b, possible compressibility factor is determined according to user's request, prediction corresponds to Picture size after compressibility factor compression;
Web page resources are directly sent to computer a by S204, computer b, picture resource are not compressed;
It should be noted that this step is to confirm to compress or S203 compressed pictures size is more than original graph in S202 Carried out under conditions of after piece.
S205, possible image file size compression ratio after compression is calculated, and calculate the structure phase before and after picture compression Like sex index, calculate balance coefficient and compression ratio and picture quality index and as agency's balance performance indications, it is determined that working as Preceding optimal Compression Strategies;
It should be noted that this step is carried out under conditions of S203 confirms to need to compress.
The compression ratio of S206, computer b before and after the front and rear file size of journal file acceptance of the bid injection pressure contracting, recording compressed, And the flow of consumption is counted;
It should be noted that this step is carried out under conditions of after S205 compresses successfully.
Resource after compression is sent to computer a by S207, computer b, and computer a loadings render the webpage money after compression Source.
Fig. 3 shows a kind of structural representation for compression of images agency's balance processing unit that the present embodiment provides, described Device includes:Request receiving module 301, request sending module 302, image compression module 303 and image sending module 304, its In:
The request receiving module 301 is used for the web page browsing request for receiving first terminal transmission, and the web page browsing please Ask including user's request;
The request sending module 302 is used to send web page browsing request to second terminal, and receives described the The image resource that two terminals return;
Described image compression module 303 is used to determine image compression format according to the user's request and described image resource And target compression factor, and described image resource is pressed according to described image compressed format and the target compression factor Contracting, obtains compressed images;
Described image sending module 304 is used to send the compressed images to the first terminal.
Specifically, the request receiving module 301 receives the web page browsing request that first terminal is sent, the web page browsing Request includes user's request;The request sending module 302 sends web page browsing request to second terminal, and receives institute State the image resource of second terminal return;Described image compression module 303 is true according to the user's request and described image resource Determine image compression format and target compression factor, and according to described image compressed format and the target compression factor to the figure As resource is compressed, compressed images are obtained;Described image sending module 304 sends the compressed images to described One terminal.
The present embodiment is forwarded by web page browsing request of the proxy terminal to first terminal, and second terminal is returned Image resource be compressed processing, with reference to user's request obtain image compression format and target compression factor compressed after scheme Picture, user's request can be combined, the performance of optimization compression of images agency, obtains the compression of images effect for best suiting user's request, Lift Consumer's Experience.
Further, on the basis of said apparatus embodiment, described image compression module 303 specifically includes:
Form determining unit, for determining image compression format and target according to the user's request and described image resource Compressibility factor;
First processing units, if for judging to know that described image compressed format supports the first preset format, according to institute State the first preset format and the target compression factor is compressed to described image resource, obtain first preset format Image after processing;
Second processing unit, if for judging to know that described image compressed format does not support first preset format, Described image resource is compressed according to the target compression factor, obtains image after the processing of the second preset format;
Image conversion unit, if being Dynamic Graph for described image resource and determining to allow according to described image compressed format Compression, then compression of images after the processing is converted to the compressed images of static state.
Further, on the basis of said apparatus embodiment, described image compression module 303 is specifically used for according to User's request determines image compression format, predicts to obtain target compression ratio according to the size of described image resource, according to the figure As structural similarity index is calculated in the size of resource and the target compression ratio, and it is true according to the structural similarity index Set the goal compressibility factor.
Further, on the basis of said apparatus embodiment, described device also includes:
Data acquisition module, for obtain the first file size of described image resource, the compressed images second The URL of file size and described image resource;
Data computation module, for according to first file size and second file size, compression to be calculated Than and save flow value;
Data recordin module, for the compression ratio, the saving flow value and the URL to be recorded In journal file.
Further, on the basis of said apparatus embodiment, the user's request includes several image quality ranks, Preset characters corresponding to each image quality rank use represent.
Compression of images agency's balance processing unit described in the present embodiment can be used for performing above method embodiment, and it is former Reason is similar with technique effect, and here is omitted.
Reference picture 4, the electronic equipment, including:Processor (processor) 401, memory (memory) 402 and total Line 403;
Wherein,
The processor 401 and memory 402 complete mutual communication by the bus 403;
The processor 401 is used to call the programmed instruction in the memory 402, to perform above-mentioned each method embodiment The method provided.
The present embodiment discloses a kind of computer program product, and the computer program product includes being stored in non-transient calculating Computer program on machine readable storage medium storing program for executing, the computer program include programmed instruction, when described program instruction is calculated When machine performs, computer is able to carry out the method that above-mentioned each method embodiment is provided.
The present embodiment provides a kind of non-transient computer readable storage medium storing program for executing, the non-transient computer readable storage medium storing program for executing Computer instruction is stored, the computer instruction makes the computer perform the method that above-mentioned each method embodiment is provided.
Device embodiment described above is only schematical, wherein the unit illustrated as separating component can To be or may not be physically separate, it can be as the part that unit is shown or may not be physics list Member, you can with positioned at a place, or can also be distributed on multiple NEs.It can be selected according to the actual needs In some or all of module realize the purpose of this embodiment scheme.Those of ordinary skill in the art are not paying creativeness Work in the case of, you can to understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can Realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Based on such understanding, on The part that technical scheme substantially in other words contributes to prior art is stated to embody in the form of software product, should Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including some fingers Make to cause a computer equipment (can be personal computer, server, or network equipment etc.) to perform each implementation Method described in some parts of example or embodiment.
It should be noted that:The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although reference The present invention is described in detail previous embodiment, it will be understood by those within the art that:It still can be right Technical scheme described in foregoing embodiments is modified, or carries out equivalent substitution to which part technical characteristic;And this A little modifications are replaced, and the essence of appropriate technical solution is departed from the spirit and model of various embodiments of the present invention technical scheme Enclose.

Claims (10)

  1. A kind of 1. compression of images agency balance processing method, it is characterised in that including:
    The web page browsing request that first terminal is sent is received, the web page browsing request includes user's request;
    Web page browsing request is sent to second terminal, and receives the image resource that the second terminal returns;
    Image compression format and target compression factor are determined according to the user's request and described image resource, and according to the figure As compressed format and the target compression factor are compressed to described image resource, compressed images are obtained;
    The compressed images are sent to the first terminal.
  2. 2. according to the method for claim 1, it is characterised in that described true according to the user's request and described image resource Determine image compression format and target compression factor, and according to described image compressed format and the target compression factor to the figure As resource is compressed, compressed images are obtained, are specifically included:
    Image compression format and target compression factor are determined according to the user's request and described image resource;
    If judgement knows that described image compressed format supports the first preset format, according to first preset format and the mesh Mark compressibility factor is compressed to described image resource, obtains image after the processing of first preset format;
    If judgement knows that described image compressed format does not support first preset format, according to the target compression factor pair Described image resource is compressed, and obtains image after the processing of the second preset format;
    If described image resource is Dynamic Graph and determines to allow to compress according to described image compressed format, will scheme after the processing As compressing and converting is static compressed images.
  3. 3. according to the method for claim 1, it is characterised in that described true according to the user's request and described image resource Determine image compression format and target compression factor, specifically include:
    Image compression format is determined according to the user's request, predicts to obtain targeted compression according to the size of described image resource Than, structural similarity index is calculated according to the size of described image resource and the target compression ratio, and according to the knot Structure index of similarity determines target compression factor.
  4. 4. according to the method for claim 1, it is characterised in that methods described also includes:
    Obtain the first file size, the second file size of the compressed images and the described image resource of described image resource URL;
    According to first file size and second file size, compression ratio is calculated and saves flow value;
    The compression ratio, the saving flow value and the URL are recorded in journal file.
  5. 5. according to the method for claim 1, it is characterised in that the user's request includes several image quality ranks, Preset characters corresponding to each image quality rank use represent.
  6. A kind of 6. compression of images agency balance processing unit, it is characterised in that including:
    Request receiving module, for receiving the web page browsing request of first terminal transmission, the web page browsing request includes user Demand;
    Request sending module, for web page browsing request to be sent to second terminal, and receive the second terminal and return Image resource;
    Image compression module, for determining image compression format and targeted compression according to the user's request and described image resource The factor, and described image resource is compressed according to described image compressed format and the target compression factor, compressed Image afterwards;
    Image sending module, for the compressed images to be sent to the first terminal.
  7. 7. device according to claim 6, it is characterised in that described image compression module specifically includes:
    Form determining unit, for determining image compression format and targeted compression according to the user's request and described image resource The factor;
    First processing units, if for judging to know that described image compressed format supports the first preset format, according to described the One preset format and the target compression factor are compressed to described image resource, obtain the processing of first preset format Image afterwards;
    Second processing unit, if for judging to know that described image compressed format does not support first preset format, basis The target compression factor is compressed to described image resource, obtains image after the processing of the second preset format;
    Image conversion unit, if being Dynamic Graph for described image resource and determining to allow to press according to described image compressed format Contracting, then compression of images after the processing is converted to the compressed images of static state.
  8. 8. device according to claim 6, it is characterised in that described image compression module is specifically used for according to the user Demand determines image compression format, predicts to obtain target compression ratio according to the size of described image resource, is provided according to described image Structural similarity index is calculated in the size in source and the target compression ratio, and determines mesh according to the structural similarity index Mark compressibility factor.
  9. 9. a kind of electronic equipment, it is characterised in that including:
    At least one processor;And
    At least one memory being connected with the processor communication, wherein:
    The memory storage has can be by the programmed instruction of the computing device, and the processor calls described program instruction energy Enough perform the method as described in claim 1 to 5 is any.
  10. 10. a kind of non-transient computer readable storage medium storing program for executing, it is characterised in that the non-transient computer readable storage medium storing program for executing is deposited Computer program is stored up, the computer program makes the computer perform the method as described in claim 1 to 5 is any.
CN201710780109.5A 2017-09-01 2017-09-01 Image compression agent balance processing method and device Active CN107592553B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710780109.5A CN107592553B (en) 2017-09-01 2017-09-01 Image compression agent balance processing method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710780109.5A CN107592553B (en) 2017-09-01 2017-09-01 Image compression agent balance processing method and device

Publications (2)

Publication Number Publication Date
CN107592553A true CN107592553A (en) 2018-01-16
CN107592553B CN107592553B (en) 2020-06-12

Family

ID=61050289

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710780109.5A Active CN107592553B (en) 2017-09-01 2017-09-01 Image compression agent balance processing method and device

Country Status (1)

Country Link
CN (1) CN107592553B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111222303A (en) * 2018-11-23 2020-06-02 珠海金山办公软件有限公司 Method, system, terminal and medium for obtaining size of picture converted from document
CN111311699A (en) * 2020-01-17 2020-06-19 北京达佳互联信息技术有限公司 Picture compression method and device
CN110210548B (en) * 2019-05-27 2021-03-16 清华大学深圳研究生院 Picture dynamic self-adaptive compression method based on reinforcement learning

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102075817A (en) * 2009-11-25 2011-05-25 北大方正集团有限公司 Method and system for forwarding audio and video data
CN102184231A (en) * 2011-05-12 2011-09-14 广州市动景计算机科技有限公司 Method and device for acquiring page resources
CN103167554A (en) * 2011-12-09 2013-06-19 中国移动通信集团广东有限公司 Gateway traffic compressing method, device and network service supply system
CN103218395A (en) * 2013-03-04 2013-07-24 星云融创(北京)信息技术有限公司 Page compression method and system
KR20140005099A (en) * 2012-07-02 2014-01-14 한국전자통신연구원 Method and apparatus for image encoding/decoding
CN104572690A (en) * 2013-10-17 2015-04-29 腾讯科技(深圳)有限公司 Webpage data acquisition method, webpage data acquisition device and webpage data acquisition system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102075817A (en) * 2009-11-25 2011-05-25 北大方正集团有限公司 Method and system for forwarding audio and video data
CN102184231A (en) * 2011-05-12 2011-09-14 广州市动景计算机科技有限公司 Method and device for acquiring page resources
CN103167554A (en) * 2011-12-09 2013-06-19 中国移动通信集团广东有限公司 Gateway traffic compressing method, device and network service supply system
KR20140005099A (en) * 2012-07-02 2014-01-14 한국전자통신연구원 Method and apparatus for image encoding/decoding
CN103218395A (en) * 2013-03-04 2013-07-24 星云融创(北京)信息技术有限公司 Page compression method and system
CN104572690A (en) * 2013-10-17 2015-04-29 腾讯科技(深圳)有限公司 Webpage data acquisition method, webpage data acquisition device and webpage data acquisition system

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111222303A (en) * 2018-11-23 2020-06-02 珠海金山办公软件有限公司 Method, system, terminal and medium for obtaining size of picture converted from document
CN110210548B (en) * 2019-05-27 2021-03-16 清华大学深圳研究生院 Picture dynamic self-adaptive compression method based on reinforcement learning
CN111311699A (en) * 2020-01-17 2020-06-19 北京达佳互联信息技术有限公司 Picture compression method and device

Also Published As

Publication number Publication date
CN107592553B (en) 2020-06-12

Similar Documents

Publication Publication Date Title
US11032388B2 (en) Methods for prerendering and methods for managing and configuring prerendering operations
CN110688595B (en) File online preview method, device, equipment and storage medium
US20140047009A1 (en) Prereading method and system for web browser
CN102684986B (en) Method and system for displaying pictures at terminal
CN111092877A (en) Data processing method and device, electronic equipment and storage medium
CN107592553A (en) A kind of compression of images agency balance processing method and processing device
US20190114989A1 (en) Systems and methods for image optimization
CN105512227A (en) Webpage data loading method and system
CN101977361A (en) Method for preprocessing messages in batch
CN113014608B (en) Flow distribution control method and device, electronic equipment and storage medium
CN104935666A (en) Method and system for watching PDF file with mobile terminal
CN104408178A (en) Device and method for WEB control loading
US8341216B2 (en) Efficient method for image processing in a computer network
CN103313285A (en) Network resource transmitting and processing device and network resource transmitting and processing method
US9372840B1 (en) Method and system for accelerated transformation of content based on predictive chunking
CN108400884B (en) Method, system and device for improving stability of website service
Rey et al. Towards a Performance Optimization of Mobile Automated Fingerprint Identification System (MAFIS) for the Philippine National Police
CN110457089A (en) Collecting method, device, computer readable storage medium and computer equipment
CN114500484A (en) Page rendering method and device, electronic equipment and readable medium
CN102694802A (en) Method and device for recording network access information
CN112035205A (en) Data processing method, device, equipment and storage medium
CN114827113B (en) Webpage access method and device
CN111274203B (en) System and method for storing telephone bill
CN110908958B (en) File processing method, device, terminal and storage medium
CN110955851B (en) Network request processing method, system and computing device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant