CN112131857B - Self-adaptive typesetting method for ultrahigh resolution visualization - Google Patents

Self-adaptive typesetting method for ultrahigh resolution visualization Download PDF

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CN112131857B
CN112131857B CN202010953095.4A CN202010953095A CN112131857B CN 112131857 B CN112131857 B CN 112131857B CN 202010953095 A CN202010953095 A CN 202010953095A CN 112131857 B CN112131857 B CN 112131857B
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CN112131857A (en
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高坤祥
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Anhui Zhongke Xinchen Technology Co ltd
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    • G06T3/00Geometric image transformations in the plane of the image
    • G06T3/40Scaling of whole images or parts thereof, e.g. expanding or contracting
    • G06T3/4053Scaling of whole images or parts thereof, e.g. expanding or contracting based on super-resolution, i.e. the output image resolution being higher than the sensor resolution

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Abstract

The invention discloses a self-adaptive typesetting method for ultrahigh resolution visualization, which is used for analyzing an acquired image file to obtain an image information sequence; acquiring a transmission number and an image width and height value of each image in the image information sequence; typesetting the images in the image information sequence according to the sending numbers and the image width and height values, and generating corresponding rearrangement files according to the typeset image information sequence. The self-adaptive typesetting method disclosed by the invention realizes rearrangement of the zoomed image file, obtains the image playing file with correct image sequence, and avoids the influence of the zoomed image on the playing effect when continuously playing.

Description

Self-adaptive typesetting method for ultrahigh resolution visualization
Technical Field
The invention relates to the technical field of intelligence, in particular to an ultra-high resolution visualized self-adaptive typesetting method.
Background
During the image delivery process, the image itself is often stored with a certain stored value, such as an aspect ratio. In the process of image delivery, the image is usually required to be scaled according to the size of the screen and the information such as the length-width ratio, so that the image can be more suitable for the screen.
In the prior art, the adaptation of the screen has been achieved, typically by simple scaling of the image according to the screen size. However, for a scene with ultra-high resolution, since the resolution is high, simple scaling causes micro-deformation of the image, thereby affecting the rendering effect. For dynamic images, the presentation of substantially continuous images creates a dynamic effect. Under the scene of ultra-high resolution, proper defects can be carried out according to the scaling deformation condition of the image, and the continuous playing technology is combined to cover the defects of the image, so that the defects of the specific image are invisible to the audience. However, how to precisely sort the image sequence in this technology is a hot spot problem that is difficult to solve.
Disclosure of Invention
In order to solve the technical problems in the background technology, the invention provides an ultra-high resolution visualized self-adaptive typesetting method.
The invention provides a self-adaptive typesetting method for ultrahigh resolution visualization, which comprises the following steps:
Analyzing the acquired image file to obtain an image information sequence;
acquiring a transmission number and an image width and height value of each image in the image information sequence;
typesetting the images in the image information sequence according to the sending numbers and the image width and height values, and generating corresponding rearrangement files according to the typeset image information sequence.
Optionally, typesetting the images in the image information sequence according to the sending number and the image width and height values, and generating a corresponding rearranged file according to the typeset image information sequence, including:
establishing the rearrangement file, and determining a first image in the image information sequence as an initial image;
writing the initial image into a rearrangement file, and calculating a theoretical number according to the transmission number of the initial image and the image width and height values;
Determining the next image of the initial image in the image information sequence as an image to be processed, and judging whether the transmission number of the image to be processed is the same as the theoretical number;
if yes, writing the image to be processed into the rearrangement file, updating the theoretical number according to the transmission number of the image to be processed and the image width and height value, and sequentially scanning a number sequence table, wherein table items with transmission numbers arranged in sequence from small to large are stored in the number sequence table;
If the transmission number of the current list item of the number sequence table is larger than the theoretical number, stopping scanning the number sequence table;
If the transmission number of the current table item of the number sequence table is equal to the theoretical number, writing the table item into the rearrangement file, updating the theoretical number according to the transmission number of the table item and the image width and height value, releasing the current table item and continuing to scan the number sequence table backwards;
If the sum of the sending number of the current table item of the number sequence table and the image width and height value is smaller than or equal to the theoretical number, releasing the table item and continuing to scan the number sequence table backwards;
And when the image to be processed is not the last image in the image information sequence, updating the image to be processed into the next image of the image to be processed in the image information sequence, and returning to execute the step of judging whether the sending number of the image to be processed is the same as the theoretical number.
Optionally, when the transmission number of the image to be processed is different from the theoretical number, the method further includes:
Sequentially scanning the numbered sequence table;
If the list items which are the same as the image to be processed exist in the numbered list table, stopping scanning the numbered list table;
If the list items contained by the image to be processed exist in the numbered sequence table, updating the contained list items into the image to be processed;
If the list item partially overlapped with the image to be processed exists in the number sequence table, writing the non-overlapped part of the image to be processed into the number sequence table as a new list item;
if no table item intersected with the image to be processed exists in the numbered sequence table, inserting the image to be processed into a corresponding position of the numbered sequence table;
And when the image to be processed is not the last image in the image information sequence, updating the image to be processed into the next image of the image to be processed in the image information sequence, and returning to execute the step of judging whether the sending number of the image to be processed is the same as the theoretical number.
Optionally, when the image to be processed is the last image in the image information sequence, the method further includes:
Judging whether the numbered sequence table is empty or not;
if yes, outputting the rearranged file;
if not, outputting the incomplete prompt information of the rearranged file.
Optionally, the numbered sequence table is specifically a skip table.
In order to realize the method, the following functional modules are adopted for realizing:
the analysis module is used for analyzing the acquired image file to obtain an image information sequence;
the acquisition module is used for acquiring the transmission number and the image width and height value of each image in the image information sequence;
and the typesetting module is used for typesetting the images in the image information sequence according to the sending numbers and the image width and height values, and generating corresponding rearranged files according to the typeset image information sequence.
Optionally, the typesetting module includes:
the establishing sub-module is used for establishing the rearrangement file and determining that a first image in the image information sequence is an initial image;
The calculation sub-module is used for writing the initial image into a rearrangement file and calculating a theoretical number according to the transmission number of the initial image and the image width and height values;
The first judging sub-module is used for determining that the next image of the initial image in the image information sequence is an image to be processed and judging whether the transmission number of the image to be processed is the same as the theoretical number;
The first updating sub-module is used for writing the image to be processed into the rearrangement file if the transmission number of the image to be processed is the same as the theoretical number, updating the theoretical number according to the transmission number of the image to be processed and the image width and height value, and sequentially scanning a number sequence table, wherein table items which are arranged according to the transmission number from small to large are stored in the number sequence table;
The first stopping submodule is used for stopping scanning the numbered sequence table if the transmission number of the current table item of the numbered sequence table is larger than the theoretical number;
a second updating sub-module, configured to write the entry into the rearrangement file if the transmission number of the current entry in the number sequence table is equal to the theoretical number, update the theoretical number according to the transmission number of the entry, release the current entry and continue to scan the number sequence table backwards;
And the third updating sub-module is used for updating the image to be processed into the next image of the image to be processed in the image information sequence when the image to be processed is not the last image in the image information sequence, and returning to the first judging sub-module to execute the step of judging whether the sending number of the image to be processed is the same as the theoretical number.
Optionally, the typesetting module further includes:
A sequential scanning sub-module, configured to sequentially scan the number sequence table when the transmission number of the image to be processed is different from the theoretical number;
The second stopping submodule is used for stopping scanning the numbered sequence table if the table items which are the same as the images to be processed exist in the numbered sequence table;
A fourth updating sub-module, configured to update, if an entry included in the image to be processed exists in the numbered sequence table, the included entry into the image to be processed;
A writing sub-module, configured to, if an entry partially overlapping the image to be processed exists in the numbered sequence table, write a non-overlapping portion of the image to be processed as a new entry into the numbered sequence table;
An inserting sub-module, configured to insert the image to be processed into a corresponding position of the numbered sequence table if an entry having an intersection with the image to be processed does not exist in the numbered sequence table;
And a fifth updating sub-module, configured to update the image to be processed to a next image of the image to be processed in the image information sequence when the image to be processed is not the last image in the image information sequence, and return to execute the step of determining whether the transmission number of the image to be processed is the same as the theoretical number.
The self-adaptive typesetting method provided by the application comprises the following steps: analyzing the acquired image file to obtain an image information sequence; acquiring a transmission number and an image width and height value of each image in an image information sequence; typesetting the images in the image information sequence according to the transmission numbers and the image width and height values, and generating corresponding rearrangement files according to the typeset image information sequence.
According to the technical scheme provided by the application, the acquired image files are analyzed to obtain the image information sequence, then the sending number and the image width and height values of the images in the image information sequence are typeset for each image, and the corresponding rearrangement file is generated according to the typeset image information sequence, so that the rearrangement of the zoomed image files is realized, the image play file with the correct image sequence is obtained, and the influence of the zoomed images on the play effect during continuous play is avoided.
Drawings
Fig. 1 is a flow chart of an adaptive typesetting method for ultrahigh resolution visualization.
Detailed Description
As shown in fig. 1, fig. 1 is a schematic structural diagram of an ultra-high resolution visualized adaptive typesetting method provided by the invention.
Referring to fig. 1, the present invention provides an ultra-high resolution visualized adaptive typesetting method, which includes:
Analyzing the acquired image file to obtain an image information sequence;
acquiring a transmission number and an image width and height value of each image in an image information sequence;
typesetting the images in the image information sequence according to the transmission numbers and the image width and height values, and generating corresponding rearrangement files according to the typeset image information sequence.
Optionally, typesetting the images in the image information sequence according to the sending number and the image width and height values, and generating a corresponding rearranged file according to the typeset image information sequence, including:
Establishing a rearrangement file, and determining a first image in the image information sequence as an initial image;
writing the initial image into a rearrangement file, and calculating a theoretical number according to the transmission number of the initial image and the image width and height values;
determining the next image of the initial image in the image information sequence as an image to be processed, and judging whether the transmission number of the image to be processed is the same as the theoretical number;
If yes, writing the image to be processed into a rearrangement file, updating a theoretical number according to the transmission number of the image to be processed and the image width and height value, and sequentially scanning a number sequence table, wherein table items which are arranged according to the transmission number from small to large are stored in the number sequence table;
if the transmission number of the current table item of the number sequence table is larger than the theoretical number, stopping scanning the number sequence table;
If the transmission number of the current table item in the number sequence table is equal to the theoretical number, writing the table item into a rearrangement file, updating the theoretical number according to the transmission number of the table item and the image width high value, releasing the current table item and continuing to scan the number sequence table backwards;
If the sum of the sending number of the current list item of the number list and the image width and height value is smaller than or equal to the theoretical number, releasing the list item and continuing to scan the number list backwards;
and when the image to be processed is not the last image in the image information sequence, updating the image to be processed into the next image of the image to be processed in the image information sequence, and returning to execute the step of judging whether the transmission number of the image to be processed is the same as the theoretical number.
Optionally, when the transmission number of the image to be processed is different from the theoretical number, the method further includes:
Sequentially scanning the numbered sequence table;
If the list items which are the same as the image to be processed exist in the numbered list table, stopping scanning the numbered list table;
if the list items contained in the image to be processed exist in the numbered sequence table, updating the contained list items into the image to be processed;
If the list item partially overlapped with the image to be processed exists in the numbered list table, writing the non-overlapped part of the image to be processed into the numbered list table as a new list item;
If no item intersected with the image to be processed exists in the numbered sequence table, inserting the image to be processed into a corresponding position of the numbered sequence table;
and when the image to be processed is not the last image in the image information sequence, updating the image to be processed into the next image of the image to be processed in the image information sequence, and returning to execute the step of judging whether the transmission number of the image to be processed is the same as the theoretical number.
Optionally, when the image to be processed is the last image in the image information sequence, the method further includes:
judging whether the numbered sequence table is empty or not;
if yes, outputting a rearranged file;
If not, outputting the incomplete prompt information of the rearranged file.
Optionally, the numbered sequence table is specifically a skip table.
In order to realize the method, the following functional modules are adopted for realizing:
the analysis module is used for analyzing the acquired image file to obtain an image information sequence;
The acquisition module is used for acquiring the transmission number and the image width and height value of each image in the image information sequence;
And the typesetting module is used for typesetting the images in the image information sequence according to the transmission numbers and the image width and height values, and generating corresponding rearrangement files according to the typeset image information sequence.
Optionally, the typesetting module includes:
The setting up sub-module is used for setting up a rearrangement file and determining that a first image in the image information sequence is an initial image;
the calculation sub-module is used for writing the initial image into the rearrangement file and calculating a theoretical number according to the transmission number of the initial image and the image width and height value;
the first judging sub-module is used for determining that the next image of the initial image in the image information sequence is an image to be processed and judging whether the transmission number of the image to be processed is the same as the theoretical number;
The first updating sub-module is used for writing the image to be processed into a rearrangement file if the transmission number of the image to be processed is the same as the theoretical number, updating the theoretical number according to the transmission number of the image to be processed and the image width and height value, sequentially scanning a number sequence table, and storing table items which are arranged according to the transmission number from small to large in the number sequence table;
The first stopping submodule is used for stopping scanning the number sequence table if the transmission number of the current table item of the number sequence table is larger than the theoretical number;
the second updating sub-module is used for writing the list items into a rearrangement file if the transmission number of the current list item in the number list is equal to the theoretical number, updating the theoretical number according to the transmission number of the list item, releasing the current list item and continuing to scan the number list backwards;
And the third updating sub-module is used for updating the image to be processed into the next image of the image to be processed in the image information sequence when the image to be processed is not the last image in the image information sequence, and returning to the first judging sub-module to execute the step of judging whether the sending number of the image to be processed is the same as the theoretical number.
Optionally, the typesetting module further includes:
The sequential scanning sub-module is used for sequentially scanning the number sequence table when the transmission number of the image to be processed is different from the theoretical number;
The second stopping submodule is used for stopping scanning the numbered sequence table if the table items which are the same as the images to be processed exist in the numbered sequence table;
A fourth updating sub-module, configured to update the included table entry into the image to be processed if the table entry included in the image to be processed exists in the numbered sequence table;
The writing sub-module is used for writing the non-overlapped part of the image to be processed into the numbered sequence table as a new table item if the table item partially overlapped with the image to be processed exists in the numbered sequence table;
the inserting sub-module is used for inserting the image to be processed into the corresponding position of the numbering sequence table if no table item intersected with the image to be processed exists in the numbering sequence table;
And the fifth updating sub-module is used for updating the image to be processed into the next image of the image to be processed in the image information sequence when the image to be processed is not the last image in the image information sequence, and returning to execute the step of judging whether the transmission number of the image to be processed is the same as the theoretical number.
In the embodiment, the self-adaptive typesetting method for ultrahigh resolution visualization is provided, the acquired image file is analyzed to obtain the image information sequence, then each image is typeset by the sending number and the image width and height value of the image in the image information sequence, and the corresponding rearrangement file is generated according to the typeset image information sequence, so that the image file after scaling is rearranged, the image playing file with the correct image sequence is obtained, and the influence of the image after scaling processing on the playing effect during continuous playing is avoided.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.

Claims (6)

1. The self-adaptive typesetting method for the ultrahigh resolution visualization is characterized by comprising the following steps of:
Analyzing the acquired image file to obtain an image information sequence;
acquiring a transmission number and an image width and height value of each image in the image information sequence;
typesetting the images in the image information sequence according to the sending numbers and the image width and height values, and generating corresponding rearrangement files according to the typeset image information sequence;
typesetting the images in the image information sequence according to the sending numbers and the image width and height values, and generating corresponding rearrangement files according to the typeset image information sequence, wherein the method comprises the following steps:
establishing the rearrangement file, and determining a first image in the image information sequence as an initial image;
writing the initial image into a rearrangement file, and calculating a theoretical number according to the transmission number of the initial image and the image width and height values;
Determining the next image of the initial image in the image information sequence as an image to be processed, and judging whether the transmission number of the image to be processed is the same as the theoretical number;
if yes, writing the image to be processed into the rearrangement file, updating the theoretical number according to the transmission number of the image to be processed and the image width and height value, and sequentially scanning a number sequence table, wherein table items with transmission numbers arranged in sequence from small to large are stored in the number sequence table;
If the transmission number of the current list item of the number sequence table is larger than the theoretical number, stopping scanning the number sequence table;
if the transmission number of the current table item of the number sequence table is equal to the theoretical number, writing the table item into the rearrangement file, updating the theoretical number according to the transmission number of the table item, releasing the current table item and continuing to scan the number sequence table backwards;
And when the image to be processed is not the last image in the image information sequence, updating the image to be processed into the next image of the image to be processed in the image information sequence, and returning to execute the step of judging whether the sending number of the image to be processed is the same as the theoretical number.
2. The method according to claim 1, wherein when the transmission number of the image to be processed is different from the theoretical number, further comprising:
Sequentially scanning the numbered sequence table;
If the list items which are the same as the image to be processed exist in the numbered list table, stopping scanning the numbered list table;
If the list items contained by the image to be processed exist in the numbered sequence table, updating the contained list items into the image to be processed;
If the list item partially overlapped with the image to be processed exists in the number sequence table, writing the non-overlapped part of the image to be processed into the number sequence table as a new list item;
if no table item intersected with the image to be processed exists in the numbered sequence table, inserting the image to be processed into a corresponding position of the numbered sequence table;
And when the image to be processed is not the last image in the image information sequence, updating the image to be processed into the next image of the image to be processed in the image information sequence, and returning to execute the step of judging whether the sending number of the image to be processed is the same as the theoretical number.
3. The method according to claim 2, wherein when the image to be processed is the last image in the sequence of image information, further comprising:
Judging whether the numbered sequence table is empty or not;
if yes, outputting the rearranged file;
if not, outputting the incomplete prompt information of the rearranged file.
4. The method of claim 1, wherein the functional module for implementing the method comprises:
the analysis module is used for analyzing the acquired image file to obtain an image information sequence;
the acquisition module is used for acquiring the transmission number and the image width and height value of each image in the image information sequence;
and the typesetting module is used for typesetting the images in the image information sequence according to the sending numbers and the image width and height values, and generating corresponding rearranged files according to the typeset image information sequence.
5. The method according to claim 4, wherein the typesetting module comprises:
the establishing sub-module is used for establishing the rearrangement file and determining that a first image in the image information sequence is an initial image;
The calculation sub-module is used for writing the initial image into a rearrangement file and calculating a theoretical number according to the transmission number of the initial image and the image width and height values;
The first judging sub-module is used for determining that the next image of the initial image in the image information sequence is an image to be processed and judging whether the transmission number of the image to be processed is the same as the theoretical number;
The first updating sub-module is used for writing the image to be processed into the rearrangement file if the transmission number of the image to be processed is the same as the theoretical number, updating the theoretical number according to the transmission number of the image to be processed and the image width and height value, and sequentially scanning a number sequence table, wherein table items which are arranged according to the transmission number from small to large are stored in the number sequence table;
The first stopping submodule is used for stopping scanning the numbered sequence table if the transmission number of the current table item of the numbered sequence table is larger than the theoretical number;
a second updating sub-module, configured to write the entry into the rearrangement file if the transmission number of the current entry in the number sequence table is equal to the theoretical number, update the theoretical number according to the transmission number of the entry, release the current entry and continue to scan the number sequence table backwards;
And the third updating sub-module is used for updating the image to be processed into the next image of the image to be processed in the image information sequence when the image to be processed is not the last image in the image information sequence, and returning to the first judging sub-module to execute the step of judging whether the sending number of the image to be processed is the same as the theoretical number.
6. The method according to claim 5, wherein the composition module further comprises:
A sequential scanning sub-module, configured to sequentially scan the number sequence table when the transmission number of the image to be processed is different from the theoretical number;
The second stopping submodule is used for stopping scanning the numbered sequence table if the table items which are the same as the images to be processed exist in the numbered sequence table;
A fourth updating sub-module, configured to update, if an entry included in the image to be processed exists in the numbered sequence table, the included entry into the image to be processed;
A writing sub-module, configured to, if an entry partially overlapping the image to be processed exists in the numbered sequence table, write a non-overlapping portion of the image to be processed as a new entry into the numbered sequence table;
An inserting sub-module, configured to insert the image to be processed into a corresponding position of the numbered sequence table if an entry having an intersection with the image to be processed does not exist in the numbered sequence table;
And a fifth updating sub-module, configured to update the image to be processed to a next image of the image to be processed in the image information sequence when the image to be processed is not the last image in the image information sequence, and return to execute the step of determining whether the transmission number of the image to be processed is the same as the theoretical number.
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Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0978991A2 (en) * 1998-08-07 2000-02-09 Hewlett-Packard Company Appliance and method for capturing images
JP2003271655A (en) * 2002-03-18 2003-09-26 Ricoh Co Ltd System of making corresponding of presentation image to electronic presentation material
KR20030094941A (en) * 2002-06-10 2003-12-18 (주) 엠지시스템 Double mosaic file structure, and apparatus and method for streaming image using that structure
JP2007166406A (en) * 2005-12-15 2007-06-28 Canon Inc Image processing method, image processing apparatus, computer program and storage medium
CN101150645A (en) * 2007-10-31 2008-03-26 广东威创日新电子有限公司 An image processing method and image processing device
WO2008035636A1 (en) * 2006-09-22 2008-03-27 Olympus Corporation Image processing device and image processing control program
JP2014057228A (en) * 2012-09-13 2014-03-27 Hitachi Ltd Image transmitting system and image transmitting method
CN105049877A (en) * 2015-06-02 2015-11-11 阔地教育科技有限公司 Encryption method and device for live and recorded broadcast interaction system
CN105678728A (en) * 2016-01-19 2016-06-15 西安电子科技大学 High-efficiency super-resolution imaging device and method with regional management
CN106227015A (en) * 2016-07-11 2016-12-14 中国科学院深圳先进技术研究院 A kind of hologram image super-resolution reconstruction method and system based on compressive sensing theory
CN107451277A (en) * 2017-08-04 2017-12-08 光典信息发展有限公司 Image file processing method and device
CN108600782A (en) * 2018-04-08 2018-09-28 深圳市零度智控科技有限公司 Video super-resolution method, device and computer readable storage medium
CN109271093A (en) * 2018-10-15 2019-01-25 山东数字人科技股份有限公司 A kind of digital specimen stereo exhibition method and device
CN109785233A (en) * 2018-12-25 2019-05-21 合肥埃科光电科技有限公司 A kind of image super-resolution rebuilding method
CN110557651A (en) * 2019-09-09 2019-12-10 云南师范大学 ultrahigh-definition dynamic image display method based on big data distributed storage technology
CN111565325A (en) * 2020-04-30 2020-08-21 北京字节跳动网络技术有限公司 Information pushing method and device, server and storage medium

Patent Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0978991A2 (en) * 1998-08-07 2000-02-09 Hewlett-Packard Company Appliance and method for capturing images
JP2003271655A (en) * 2002-03-18 2003-09-26 Ricoh Co Ltd System of making corresponding of presentation image to electronic presentation material
KR20030094941A (en) * 2002-06-10 2003-12-18 (주) 엠지시스템 Double mosaic file structure, and apparatus and method for streaming image using that structure
JP2007166406A (en) * 2005-12-15 2007-06-28 Canon Inc Image processing method, image processing apparatus, computer program and storage medium
WO2008035636A1 (en) * 2006-09-22 2008-03-27 Olympus Corporation Image processing device and image processing control program
CN101150645A (en) * 2007-10-31 2008-03-26 广东威创日新电子有限公司 An image processing method and image processing device
JP2014057228A (en) * 2012-09-13 2014-03-27 Hitachi Ltd Image transmitting system and image transmitting method
CN105049877A (en) * 2015-06-02 2015-11-11 阔地教育科技有限公司 Encryption method and device for live and recorded broadcast interaction system
CN105678728A (en) * 2016-01-19 2016-06-15 西安电子科技大学 High-efficiency super-resolution imaging device and method with regional management
CN106227015A (en) * 2016-07-11 2016-12-14 中国科学院深圳先进技术研究院 A kind of hologram image super-resolution reconstruction method and system based on compressive sensing theory
CN107451277A (en) * 2017-08-04 2017-12-08 光典信息发展有限公司 Image file processing method and device
CN108600782A (en) * 2018-04-08 2018-09-28 深圳市零度智控科技有限公司 Video super-resolution method, device and computer readable storage medium
CN109271093A (en) * 2018-10-15 2019-01-25 山东数字人科技股份有限公司 A kind of digital specimen stereo exhibition method and device
CN109785233A (en) * 2018-12-25 2019-05-21 合肥埃科光电科技有限公司 A kind of image super-resolution rebuilding method
CN110557651A (en) * 2019-09-09 2019-12-10 云南师范大学 ultrahigh-definition dynamic image display method based on big data distributed storage technology
CN111565325A (en) * 2020-04-30 2020-08-21 北京字节跳动网络技术有限公司 Information pushing method and device, server and storage medium

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