CN109587504A - VR image data compression method - Google Patents
VR image data compression method Download PDFInfo
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- CN109587504A CN109587504A CN201710904623.5A CN201710904623A CN109587504A CN 109587504 A CN109587504 A CN 109587504A CN 201710904623 A CN201710904623 A CN 201710904623A CN 109587504 A CN109587504 A CN 109587504A
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- image data
- image
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- eye image
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
- H04N19/597—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding specially adapted for multi-view video sequence encoding
Abstract
The invention discloses a kind of VR image data compression methods, pre-process to VR image data, obtain left-eye image and eye image paragraph by paragraph；The left-eye image and eye image of segmentation are processed into basic data and non-basic data；Basic data and non-basic data compressed using different compression methods.VR image data compression method through the invention, the compression efficiency that can greatly reduce buffer time, improve VR image data, has saved transmission bandwidth and time delay, has kept the picture quality of VR equipment higher, to bring the better visual experience of user.
Description
[technical field]
The present invention relates to field of image processing more particularly to a kind of VR image data compression methods.
[background technique]
With the continuous development of computer technology, VR (virtual reality) technology has applies more and more.And VR shadow
As the resolution ratio of data is also higher and higher, so as to compress to VR image data when data transmission, transmission is improved
Efficiency, at the same cannot in order to compress, decompressed image data and time delay is significantly increased, to influence the using effect of VR, for example, when
Prolong dizzy effect caused by growth.
VR image data is compressed using traditional compression method, available certain effect.But traditional pressure
Contracting method, which generally requires to obtain at least one frame of image data, just to be started to be compressed, time delay be at least cache a frame image when
Between plus compression, decompression time.Meanwhile traditional compression method does not account for the characteristics of VR right and left eyes image: each width
VR image is all made of the left-eye image and eye image that are not much different.It is that can be carried out using certain method to it in fact
Compression, obtains higher compression efficiency.
[summary of the invention]
The technical problem to be solved by the present invention is how to improve the compression efficiency of VR image data and reduce compression bring
Time delay.
In order to solve the above technical problems, the present invention provides a kind of VR image data compression methods, VR image data
It is segmented, right and left eyes image is extracted respectively to every section of VR image data, be then directed to basic data and non-basic data
It is compressed, to substantially increase the compression efficiency of VR image data, and caching bring time delay is greatly reduced.
The present invention is achieved through the following technical solutions:
Provide a kind of VR image data compression method, comprising the following steps: pre-process, obtain to VR image data
The left-eye image and eye image of segmentation；The left-eye image and eye image of the segmentation are compared, obtain basic data and
Non-basic data；Basic data and non-basic data are compressed using different compression methods.
VR image data compression method as described above compresses the basic data using JPEG mode.
VR image data compression method as described above, to the non-basic data by the way of based on motion compensation into
Row compression.
VR image data compression method as described above, the pretreatment include: from VR image data extraction
One frame image data；Described image data are segmented, the image data of multiple segmentations is obtained；To the picture number of each segmentation
According to extraction left-eye image and eye image respectively, the left-eye image and eye image being segmented.
VR image data compression method as described above, it is described to be segmented described image data, it is with identical
Picture altitude is segmented.
VR image data compression method as described above, the picture altitude can change.
In conclusion VR image data is pre-processed the present invention provides a kind of VR image data compression method, by
Section obtains left-eye image and eye image；The left-eye image and eye image of segmentation are processed into basic data and non-basic number
According to；Basic data and non-basic data compressed using different compression methods.VR image number through the invention
According to compression method, the compression efficiency that buffer time can be greatly reduced, improve VR image data, saved transmission bandwidth and when
Prolong, keep the picture quality of VR equipment higher, to bring the better visual experience of user.
[Detailed description of the invention]
Fig. 1 is the method flow diagram of VR image data compression method of the present invention.
Fig. 2 is the flow chart of pre-treatment step.
[specific embodiment]
Reach the technical means and efficacy that predetermined purpose is taken for the present invention is further explained, below in conjunction with attached drawing and reality
Example is applied, to a specific embodiment of the invention, detailed description are as follows.
Fig. 1 is the method flow diagram of VR of embodiment of the present invention image data compression method.This method includes step 101, step
Rapid 102 and step 103:
Step 101: VR image data being pre-processed, the left-eye image and eye image of segmentation are obtained.
The left-eye image and eye image of segmentation, the left-eye image of segmentation and the right side are taken from VR image data by pre-processing
Eye image image resolution ratio having the same, pretreated specific steps are as shown in Figure 2.
Fig. 2 for pre-treatment step of the embodiment of the present invention flow chart.Pretreatment includes the following steps:
Step 201: one frame image data from VR image data extraction.
Step 202: described image data being segmented, the image data of multiple segmentations is obtained.
A complete frame image data is segmented, in the present invention by the way of full line segmentation.It is specific as follows: to set
The picture altitude of a fixed segmentation is h picture element, the every h row of a complete frame image data is divided into a section, then each
The length of the image data of segmentation is identical as the length of a complete frame image data, and the height of the image data of each segmentation is
H picture element.Such as: the resolution ratio of complete image data is 2880x1440, the picture altitude h=16 of setting, then, often
The resolution ratio of the image data of a segmentation is 2880x16,1440/16=90, and each frame image data can obtain after being segmented
The image data being segmented to 90.
According to the variation of the conditions such as VR equipment image-capable, delay requirement, picture altitude h can also be changed,
To obtain optimal effect.
Step 203: left-eye image and eye image being extracted respectively to the image data of each segmentation, the left eye being segmented
Image and eye image.
It is obtained after obtaining the left-eye image and eye image that are segmented by step 101, then carries out step 102.
Step 102: the left-eye image and eye image of segmentation being compared, basic data and non-basic data are obtained.
The characteristics of due to VR image data, left-eye image and eye image image resolution ratio having the same, and image
Content height is approximate, therefore we can choose the left-eye image of segmentation as basic data, using the eye image of segmentation as
Non-basic data, using different methods to obtain better compression effectiveness in compression later.It is of course also possible to choose
The eye image of segmentation is as basic data, using the left-eye image of segmentation as non-basic data.
Step 103: basic data and non-basic data are compressed using different compression methods.
Basic data is compressed, in the present invention, basic data is compressed using jpeg image compression algorithm,
Basic data can certainly be compressed using other method for compressing image.
Non-basic data are compressed, in the present invention, due to the picture material of basic data and non-basic data height
Degree is approximate, thus can be directed to the feature, and non-basic data are used with the compression method for being different from being compressed to basic data
It is compressed.In the present invention, non-basic data are compressed using the method for motion compensation.Using the method for motion compensation
Non-basic data are compressed, it, can be by non-basic data due to the picture material of basic data and non-basic data approximation
It is divided into several data blocks, certain a part that each data block is relative to basic data carries out translation and or rotation, because
And greatly improve compression efficiency.
In the present invention, the usual resolution ratio of VR image data is very high, and the resolution ratio of the image data extracted is also
It is very high, thus the data volume of the complete image of a frame is also very big.Also, requirement of the VR image data for time delay is also
It is very high.In order to reduce time delay, the full frame image data extracted from VR image data are subjected to full line segmentation, by each frame
Image data is divided into the image data of multiple segmentations, then therefrom extracts left-eye image and eye image.For each segmentation
Left-eye image and eye image compressed, can greatly reduce buffer time, reduce time delay.Meanwhile the left eye of segmentation
Image and eye image are processed into basic data and non-basic data；Basic data and non-basic data are carried out using different
Compression method is compressed, and can be greatly improved the compression efficiency of VR image data, saved transmission bandwidth, and the figure of VR equipment is made
Image quality amount is higher, to bring the better visual experience of user.
It is of the invention it is a kind of be only to illustrate the principle of the present invention in above-mentioned lifted embodiment, rather than to limit this hair
Bright, all this kind is according to the present invention or the equivalent transformation of the prior art is that those skilled in the art is become apparent from,
It ought to be within the scope of presently disclosed protection.
Claims (6)
1. a kind of VR image data compression method, the method the following steps are included:
VR image data is pre-processed, the left-eye image and eye image of segmentation are obtained；
The left-eye image and eye image of the segmentation are compared, basic data and non-basic data are obtained；
Basic data and non-basic data are compressed using different compression methods.
2. according to the method described in claim 1, it is characterized by: being compressed to the basic data using JPEG mode.
3. according to the method described in claim 1, it is characterized by: using the side based on motion compensation to the non-basic data
Formula is compressed.
4. according to the method described in claim 1, it is characterized by: the pretreatment includes:
One frame image data from VR image data extraction；
Described image data are segmented, the image data of multiple segmentations is obtained；
Left-eye image and eye image are extracted respectively to the image data of each segmentation, the left-eye image and right eye figure being segmented
Picture.
5. according to the method described in claim 4, being with phase it is characterized by: described be segmented described image data
Same picture altitude is segmented.
6. according to the method described in claim 5, it is characterized by: the picture altitude can change.
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| CN201710904623.5A CN109587504A (en) | 2017-09-29 | 2017-09-29 | VR image data compression method |
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| CN201710904623.5A CN109587504A (en) | 2017-09-29 | 2017-09-29 | VR image data compression method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112383765A (en) * | 2020-11-10 | 2021-02-19 | 中移雄安信息通信科技有限公司 | VR image transmission method and device |
| CN116388768A (en) * | 2023-06-06 | 2023-07-04 | 上海海栎创科技股份有限公司 | Compression method and system for signal data |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1545333A (en) * | 2003-11-21 | 2004-11-10 | 南京大学 | Method of three dimensional video image signal compression |
| CN1937696A (en) * | 2005-09-22 | 2007-03-28 | 恩益禧电子股份有限公司 | Image signal processing apparatus and method |
| WO2011001864A1 (en) * | 2009-07-01 | 2011-01-06 | ソニー株式会社 | Image processing device and image processing method |
| CN103190152A (en) * | 2010-10-26 | 2013-07-03 | 韩国放送公社 | Hierarchical broadcasting system and method for 3D broadcasting |
| CN106717000A (en) * | 2016-12-12 | 2017-05-24 | 深圳市大疆创新科技有限公司 | An image signal processing method and device |
-
2017
- 2017-09-29 CN CN201710904623.5A patent/CN109587504A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1545333A (en) * | 2003-11-21 | 2004-11-10 | 南京大学 | Method of three dimensional video image signal compression |
| CN1937696A (en) * | 2005-09-22 | 2007-03-28 | 恩益禧电子股份有限公司 | Image signal processing apparatus and method |
| WO2011001864A1 (en) * | 2009-07-01 | 2011-01-06 | ソニー株式会社 | Image processing device and image processing method |
| CN103190152A (en) * | 2010-10-26 | 2013-07-03 | 韩国放送公社 | Hierarchical broadcasting system and method for 3D broadcasting |
| CN106717000A (en) * | 2016-12-12 | 2017-05-24 | 深圳市大疆创新科技有限公司 | An image signal processing method and device |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112383765A (en) * | 2020-11-10 | 2021-02-19 | 中移雄安信息通信科技有限公司 | VR image transmission method and device |
| CN112383765B (en) * | 2020-11-10 | 2023-04-07 | 中移雄安信息通信科技有限公司 | VR image transmission method and device |
| CN116388768A (en) * | 2023-06-06 | 2023-07-04 | 上海海栎创科技股份有限公司 | Compression method and system for signal data |
| CN116388768B (en) * | 2023-06-06 | 2023-08-22 | 上海海栎创科技股份有限公司 | Compression method and system for signal data |
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