CN106686279A - Quasi-real-time color changing amplification system and method based on euler video amplification - Google Patents
Quasi-real-time color changing amplification system and method based on euler video amplification Download PDFInfo
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- CN106686279A CN106686279A CN201611238658.1A CN201611238658A CN106686279A CN 106686279 A CN106686279 A CN 106686279A CN 201611238658 A CN201611238658 A CN 201611238658A CN 106686279 A CN106686279 A CN 106686279A
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- 238000003199 nucleic acid amplification method Methods 0.000 title claims abstract description 42
- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000001914 filtration Methods 0.000 claims abstract description 37
- 230000003287 optical effect Effects 0.000 claims abstract description 10
- 238000000354 decomposition reaction Methods 0.000 claims description 14
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- 230000015572 biosynthetic process Effects 0.000 claims description 4
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/46—Colour picture communication systems
- H04N1/56—Processing of colour picture signals
- H04N1/58—Edge or detail enhancement; Noise or error suppression, e.g. colour misregistration correction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
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Abstract
The invention discloses a quasi-real-time color changing amplification system and method based on euler video amplification. The quasi-real-time color changing amplification system comprises an optical detection module (101), an image space filtration module (102), a data storing module (103), an image time domain filtration module (104), an image amplification module (105) and an image reduction module (106). The method includes the steps that images of target objects are collected; an image pyramid is obtained in the mode that multiresolution of the pyramid is decomposed; layers needed to be treated are stored through the data storing module; a result image layer queue is obtained; layers corresponding to current-treated images are taken out of the result layer queue and amplified, and then a treated image pyramid is formed; the treated pyramid is subjected to reduction treatment, and amplified images are obtained; By means of the quasi-real-time color changing amplification system and method based on euler video amplification, it is achieved that the quasi-real-time color changing amplification technology based on euler video amplification is capable of greatly improving the convenience and the real-time performance, and has the wider application range.
Description
Technical field
The present invention relates to digital video processing technology field, more particularly to a kind of quasi real time color change amplification system and
Method.
Background technology
Euler's video amplifier is a new video processing technique, and this technology can catch the mankind in video and be difficult to perceive
Extremely small color or action change, be analyzed process by the variation frequencies to different changes, finally allow the people can
To observe directly this slight variations, and these changes are carried out into arbitrarily enlarged process.For example, using this technology people
Blood circulation, pulse change or baby directly can be observed from video situations such as breathe.But Euler's video amplifier technology is
Color is carried out for one section of video or action is amplified, i.e., one section of video for first shooting the object of observation is amplified again process, calculates
Amount is big and can not meet in some applications to display in real time and the requirement for processing.
The content of the invention
Based on the problem that above-mentioned prior art is present, the present invention proposes a kind of quasi real time face based on Euler's video amplifier
Color change amplification system and method, can realize substantially increasing convenience and real-time, with wider range of application
The system and method that quasi real time color change based on Euler's video amplifier is amplified.
A kind of quasi real time color change amplification system based on Euler's video amplifier of the present invention, the system includes sequentially connecting
The optical detecting module 101 that connects, image space filtration module 102, data memory module 103, image time-domain filtering module 104,
Image amplification module 105 and image restoring module 106；Wherein：
Optical detecting module 101, shooting needs the image of the target object for carrying out color amplification；
Image space filtration module 102, carries out pyramid Multiresolution Decomposition and obtains image pyramid to image；
Data memory module 103, pending pyramidal layer in storage image；
Image time-domain filtering module 104, the pyramidal layer to needing to be processed in image pyramid carries out band logical time domain
Filtering；
Image amplification module 105, is amplified to strengthen frequency band to the image pyramid layer Jing after time-domain filtering；
Image restoring module 106, the image pyramid to having processed after filtering carries out reduction and obtains final image.
A kind of quasi real time color change amplification method based on Euler's video amplifier of the present invention, the method includes following step
Suddenly：
Step 1, the image that target object is gathered using optical detecting module；
Step 2, pyramid Multiresolution Decomposition is carried out to image using image space filtration module obtain image pyramid；
Step 3, layer to be processed is needed using data memory module storage, and by the pyramidal layer of currently pending image
With the pyramidal layer of history image according to image taking order or inverse image taking sequential combination into queue；
Step 4, FIR filter is acted on into above-mentioned queue using image time-domain filtering module, obtain result images layer team
Row；
Step 5, the layer corresponding to currently processed image is taken out from result layer queue using image amplification module, to it
After being amplified, by the image layer after effect and without the image layer for processing, according to the pyramidal sequential combination of before processing, formed
Image pyramid after process；
Step 6, the image after reduction treatment is amplified is carried out to the pyramid after process using image restoring module.
Compared with prior art, the present invention can be realized substantially increasing convenience and real-time, answered with wider
The system and method amplified with the quasi real time color change based on Euler's video amplifier of scope.
Description of the drawings
Fig. 1 is the quasi real time color change amplification method overall flow figure based on Euler's video amplifier of the present invention
Fig. 2 is the quasi real time color change amplification method overall flow figure based on Euler's video amplifier of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawings the present invention is described in further detail with specific embodiment.
As shown in figure 1, for the present invention the quasi real time color change amplification system based on Euler's video amplifier, including：
Optical detecting module 101, shooting needs the image of the target object for carrying out color amplification；
Image space filtration module 102, carries out pyramid Multiresolution Decomposition and obtains image pyramid to image；
Data memory module 103, pending pyramidal layer in storage image；
Image time-domain filtering module 104, the pyramidal layer to needing to be processed in image pyramid carries out band logical time domain
Filtering；
Image amplification module 105, is amplified to strengthen frequency band to the image pyramid layer Jing after time-domain filtering；
Image restoring module 106, the image pyramid to having processed after filtering carries out reduction and obtains final image.
Wherein, optical detecting module 101 gathers body surface coloured image with fixed frequency, and is continuously shot.Image
Spatial filter module 102 obtains gaussian pyramid or laplacian pyramid to each image process, when each image is processed
Using the fixed pyramid number of plies.Image time-domain filtering module 104 adopts FIR filter.
As shown in Fig. 2 for the present invention the quasi real time color change amplification method overall flow based on Euler's video amplifier
Figure, the flow process is comprised the following steps：
Step 1, optical detecting module gather the image of target object；
Step 2, image space filtration module carry out pyramid Multiresolution Decomposition and obtain image pyramid to image；
Step 3, pyramidal layer to be processed is needed using data memory module storage, and by the gold of currently pending image
The layer of word tower layer and history image is combined into queue according to image taking order (inverse image taking order)；
FIR filter is acted on above-mentioned queue by step 4, image time-domain filtering module, obtains result images layer queue；
Step 5, image amplification module take out the pyramidal layer corresponding to currently processed image from result layer queue, right
After it is amplified, by the image pyramid layer after effect and without the image pyramid layer for processing, according to before processing pyramid
Sequential combination, formation process after image pyramid；
Step 6, image restoring module carry out the image after reduction treatment is amplified to the pyramid after process.
The image space filtration module of step 2 carries out pyramid Multiresolution Decomposition and obtains image pyramid to image, its
Specially：
Step 21, image space filtration module currently pending image is carried out gaussian pyramid Multiresolution Decomposition or
Laplacian pyramid Multiresolution Decomposition obtains image pyramid, and pyramidal each layer is many points of currently pending image Jing
The multi-resolution representation that resolution is formed after decomposing.
The utilization data memory module storage of step 3 needs layer to be processed, and by the layer of currently pending image and goes through
The layer of history image is combined into queue according to image taking order (inverse image taking order)；It is specially：
The same layer of the image pyramid that step 31, data memory module storage are obtained by handled by the image for having shot,
That layer to be processed, and the order of queue are needed in each image pyramid according to image taking order (inverse image taking
Sequentially), i.e., the pending layer of the picture for shooting every time is put into tail of the queue (head of the queue)；
The image number of plies stored in step 32, data memory module only needs to as FIR filter length, that is, only need to
The FIR filter length image that storage shoots recently, i.e., the image that described data memory module storage shoots recently
(pending image) and (FIR filter length -1) image for shooting before.
FIR filter is acted on above-mentioned queue by the image time-domain filtering module of step 4, obtains result images layer queue,
It is specially：
Step 41, the respective pixel of each image layer stored in data memory module is combined into into a column signal；
Step 42, above-mentioned signal is processed using FIR filter, obtain consequential signal；
Each data of step 43, signal obtain result images layer as the data of the respective pixel of respective layer with this
Queue (the result images layer queue for so obtaining has phase shift, therefore result is quasi real time).
The image amplification module of step 5 is amplified to the result images layer for obtaining, and combines associated picture layer and obtain everywhere
Image pyramid after reason, it is specially：
Step 51, image amplification module take out the layer corresponding to currently processed image from result layer queue, and it is entered
After row amplifies, by the image layer after effect and without the image layer for processing, according to the pyramidal sequential combination of before processing, at formation
Image pyramid after reason；
The image restoring module of step 6 carries out the image after reduction treatment is amplified to the pyramid after process, specifically
For：
The resolution decomposition method that step 61, image restoring module are adopted according to image space filtration module to image,
Carry out inverse operation to the pyramid after the process that obtained by image amplification module, reduction treatment be amplified after image.
The above, only presently preferred embodiments of the present invention is used to help understand the method for the present invention and core concept, right
In one of ordinary skill in the art, according to the thought of the present invention, change is had in specific embodiments and applications
Part, so this specification content should not be construed as limiting the invention.
Claims (7)
1. a kind of quasi real time color change amplification system based on Euler's video amplifier, it is characterised in that the system sequentially connects
Optical detecting module (101), image space filtration module (102), data memory module (103), image time-domain filtering module
(104), image amplification module (105) and image restoring module (106)；Wherein：
Optical detecting module (101), shooting needs the image of the target object for carrying out color amplification；
Image space filtration module (102), carries out pyramid Multiresolution Decomposition and obtains image pyramid to image；
Data memory module (103), pending layer in storage image；
Image time-domain filtering module (104), the layer to needing to be processed in image pyramid carries out band logical time-domain filtering；
Image amplification module (105), is amplified to strengthen frequency band to the image layer Jing after time-domain filtering；
Image restoring module (106), the image pyramid to having processed after filtering carries out reduction and obtains final image.
2. a kind of quasi real time color change amplification method based on Euler's video amplifier, it is characterised in that the method includes following
Step：
Step (1), the image that target object is gathered using optical detecting module；
Step (2), pyramid Multiresolution Decomposition is carried out to image using image space filtration module obtain image pyramid；
Step (3), layer to be processed is needed using data memory module storage, and by the layer of currently pending image and history figure
The layer of picture is according to image taking order/inverse image taking sequential combination into queue；
Step (4), FIR filter is acted on into above-mentioned queue using image time-domain filtering module, obtain result images layer queue；
Step (5), the layer corresponding to currently processed image is taken out from result layer queue using image amplification module, it is entered
After row amplifies, by the image layer after effect and without the image layer for processing, according to the pyramidal sequential combination of before processing, at formation
Image pyramid after reason；
Step (6), the image after reduction treatment is amplified is carried out to the pyramid after process using image restoring module.
3. the quasi real time color change amplification method of Euler's video amplifier is based on as claimed in claim 2, it is characterised in that institute
State the image space filtration module of step (2) pyramid Multiresolution Decomposition is carried out to image and obtain image pyramid, its is concrete
Including：
Gaussian pyramid Multiresolution Decomposition or La Pula are carried out to currently pending image using image space filtration module
This pyramid Multiresolution Decomposition obtains image pyramid, and pyramidal each layer is currently pending image Jing multiresolutions point
The multi-resolution representation formed after solution.
4. the quasi real time color change amplification method of Euler's video amplifier is based on as claimed in claim 2, it is characterised in that institute
Stating the utilization data memory module storage of step (3) needs layer to be processed, and by the layer of currently pending image and history figure
The layer of picture is according to image taking order/inverse image taking sequential combination into queue；It is specifically included：
The same layer of the image pyramid that step (31), data memory module storage are obtained by handled by the image for having shot, i.e.,
That layer to be processed is needed in each image pyramid, and the order of queue is suitable according to image taking order/inverse image taking
Sequence, i.e., the pending layer of the picture for shooting every time is put into tail of the queue/head of the queue；
The image number of plies stored in step (32), data memory module only needs to as FIR filter length, that is, only need to deposit
The FIR filter length image that storage shoots recently, i.e., described data memory module stores the image for shooting recently and is
Pending image and the image for shooting before.
5. the quasi real time color change amplification method of Euler's video amplifier is based on as claimed in claim 2, it is characterised in that step
Suddenly FIR filter is acted on above-mentioned queue by the image time-domain filtering module of (4), obtains result images layer queue, and it is specially：
Step (41), the respective pixel of each image layer stored in data memory module is combined into into a column signal；
Step (42), above-mentioned signal is processed using FIR filter, obtain consequential signal；
Step (43), each data of signal obtain result images layer team as the data of the respective pixel of respective layer with this
Row.
6. the quasi real time color change amplification method of Euler's video amplifier is based on as claimed in claim 2, it is characterised in that step
Suddenly FIR filter is acted on above-mentioned queue by the image time-domain filtering module of (5), obtains result images layer queue, and it is specially：
The layer corresponding to currently processed image is taken out from result layer queue using image amplification module, it is amplified
Afterwards, by the image layer after effect and without the image layer for processing, according to the pyramidal sequential combination of before processing, after formation is processed
Image pyramid.
7. the quasi real time color change amplification method of Euler's video amplifier is based on as claimed in claim 2, it is characterised in that step
Suddenly the image restoring module of (6) carries out the image after reduction treatment is amplified to the pyramid after process, specially：
The resolution decomposition method using image restoring module image adopted according to image space filtration module, to by image
Pyramid after the process that amplification module is obtained carries out inverse operation, reduction treatment be amplified after image.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107328392A (en) * | 2017-07-05 | 2017-11-07 | 贵州大学 | Flame abnormal signal extracting method based on Euler's video enhancement techniques |
| CN108960091A (en) * | 2018-06-20 | 2018-12-07 | 深圳市科迈爱康科技有限公司 | Monitoring system, method, readable storage medium storing program for executing and automobile |
| CN109350030A (en) * | 2018-08-17 | 2019-02-19 | 西安电子科技大学 | System and method based on phase enhanced processing face video heart rate signal |
| CN111387959A (en) * | 2020-03-25 | 2020-07-10 | 南京信息工程大学 | Non-contact physiological parameter detection method based on IPPG |
| CN111899171A (en) * | 2020-07-10 | 2020-11-06 | 罗雄彪 | Medical robot surgical video motion amplification method |
| CN115797335A (en) * | 2023-01-31 | 2023-03-14 | 武汉地震工程研究院有限公司 | Euler movement amplification effect evaluation and optimization method for bridge vibration measurement |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107328392A (en) * | 2017-07-05 | 2017-11-07 | 贵州大学 | Flame abnormal signal extracting method based on Euler's video enhancement techniques |
| CN108960091A (en) * | 2018-06-20 | 2018-12-07 | 深圳市科迈爱康科技有限公司 | Monitoring system, method, readable storage medium storing program for executing and automobile |
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| CN111899171A (en) * | 2020-07-10 | 2020-11-06 | 罗雄彪 | Medical robot surgical video motion amplification method |
| CN111899171B (en) * | 2020-07-10 | 2022-08-12 | 罗雄彪 | Medical robot surgical video motion amplification method |
| CN115797335A (en) * | 2023-01-31 | 2023-03-14 | 武汉地震工程研究院有限公司 | Euler movement amplification effect evaluation and optimization method for bridge vibration measurement |
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