CN109191368A - A kind of method, system equipment and storage medium for realizing Panoramagram montage fusion - Google Patents
A kind of method, system equipment and storage medium for realizing Panoramagram montage fusion Download PDFInfo
- Publication number
- CN109191368A CN109191368A CN201810879507.7A CN201810879507A CN109191368A CN 109191368 A CN109191368 A CN 109191368A CN 201810879507 A CN201810879507 A CN 201810879507A CN 109191368 A CN109191368 A CN 109191368A
- Authority
- CN
- China
- Prior art keywords
- image
- fusion
- color space
- realizing
- contourlet
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 54
- 230000004927 fusion Effects 0.000 title claims abstract description 35
- 230000009466 transformation Effects 0.000 claims abstract description 28
- 230000008569 process Effects 0.000 claims abstract description 20
- 238000006243 chemical reaction Methods 0.000 claims abstract description 8
- 238000007500 overflow downdraw method Methods 0.000 claims description 9
- PXFBZOLANLWPMH-UHFFFAOYSA-N 16-Epiaffinine Natural products C1C(C2=CC=CC=C2N2)=C2C(=O)CC2C(=CC)CN(C)C1C2CO PXFBZOLANLWPMH-UHFFFAOYSA-N 0.000 claims description 7
- 238000000354 decomposition reaction Methods 0.000 claims description 7
- 238000007499 fusion processing Methods 0.000 claims description 4
- 238000005070 sampling Methods 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 11
- 230000000007 visual effect Effects 0.000 abstract description 5
- 230000007704 transition Effects 0.000 abstract description 4
- 238000012545 processing Methods 0.000 description 9
- 238000001914 filtration Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000002156 mixing Methods 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 230000008447 perception Effects 0.000 description 2
- 241000080795 Elaphoglossum affine Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 230000035772 mutation Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 230000001225 therapeutic effect Effects 0.000 description 1
Classifications
-
- 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
- G06T3/14—Transformations for image registration, e.g. adjusting or mapping for alignment of images
-
- 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
- G06T3/4038—Image mosaicing, e.g. composing plane images from plane sub-images
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a kind of methods for realizing Panoramagram montage fusion, comprising the following steps: pre-processes respectively to each width image to be spliced, overlapping image is converted to HSI color space;HSI color space image degree of comparing contourlet transformation to obtaining;Using inverse contrast contourlet conversion process;Above-mentioned image is merged, and is converted to rgb color space;By gained rgb color space image superposition into spliced map, panorama sketch is obtained.And a kind of system for realizing Panoramagram montage fusion.The method and system provided by the invention for realizing Panoramagram montage fusion, convert by using contrast contourlet, using its profile characteristic, the minutia of image, good transition overlapping region are shown, so that image co-registration is more compact, consistent.Using this method, there is good syncretizing effect to realization scene image, meet very much the visual effect of human eye, be with a wide range of applications.
Description
Technical field
The present invention relates to field of image processings, the specially method and system of realization Panoramagram montage fusion.
Background technique
Image co-registration is the research hotspot of information fusion and image processing field.Visual fusion is will be useful in two width pictures
Information be integrated into a width picture, to obtain the more comprehensive information of Same Scene.The development of image fusion technology can chase after
It traces back in the 1980s, being mainly used in the process fields such as remote sensing images, infrared image, medical image.
In order to realize smooth continuous Panoramagram montage syncretizing effect, the characteristics of for Panoramagram montage, spelled in panorama sketch
In connecing (including image outfit, affine transformation, image co-registration etc.), visual fusion is a wherein important link, it is responsible for figure
As the optimization processing that overlapping position is superimposed, the strengths and weaknesses of image co-registration directly influences the effect of panorama.Currently, panoramic picture
Splicing has mean value fusion method, weighting smooth blend method, multi-definition fusion method etc..Wherein, mean value fusion method is to image
Intersection is directly averaged.Algorithm, which is realized, to be easy, but can generate apparent splicing trace;Although weighting smooth blend method equal
Improve many on the basis of value method, but processing situations such as image rotation, dislocation is unsatisfactory;Though multi-definition fusion method
Preferable syncretizing effect can be so embodied, but realization is complex, and does not allow readily understood.
To sum up, technology needs improve.
Summary of the invention
The present invention is directed to solve at least some of the technical problems in related technologies.For this purpose, of the invention
One purpose is to provide a kind of method and system for realizing Panoramagram montage fusion that splicing syncretizing effect is good.
The technical scheme adopted by the invention is that:
The present invention provides a kind of method for realizing Panoramagram montage fusion, comprising the following steps:
Each width image to be spliced is pre-processed respectively, overlapping image is converted into HSI color space;
HSI color space image degree of comparing contourlet transformation to obtaining;
Using inverse contrast contourlet conversion process;
Above-mentioned image is merged, and is converted to rgb color space;
By gained rgb color space image superposition into spliced map, panorama sketch is obtained.
Preferably, the pretreatment includes: and is registrated to each width image to be spliced, and carries out to overlapping region affine
Transformation.
Preferably, described that affine transformation is carried out to overlapping region comprising to turn image by following formula from rgb color space
Change to HSI color space;
Wherein, RGB respectively indicates the red, green, blue component of pel.
Preferably, degree of the comparing contourlet transformation, comprising:
Bandpass sampling is carried out to image, laplacian pyramid is established and carries out multi-resolution decomposition;
Continue Directional Decomposition, obtains directional subband.
Further, image obtains corresponding high fdrequency component and low frequency component after contourlet is converted;Wherein for height
Frequency component carries out fusion treatment using Weighted Fusion method;Low frequency component, which is used, asks arithmetic mean method to carry out fusion treatment.
On the other hand, the present invention also provides a kind of systems for realizing Panoramagram montage fusion, comprising:
Image pre-processing module respectively pre-processes each width image to be spliced for executing step, by overlay chart
As being converted to HSI color space;
Contrast variation's module, for executing step to obtained HSI color space image degree of comparing
Contourlet transformation;Using inverse contrast contourlet conversion process;
Image fusion processing module merges above-mentioned image for executing step, and is converted to rgb color space;It will
Gained rgb color space image superposition obtains panorama sketch into spliced map.
In another aspect, the present invention also provides a kind of equipment for realizing Panoramagram montage fusion, comprising:
At least one processor;And
The memory being connect at least one described processor communication;Wherein,
The memory is stored with the instruction that can be executed by least one described processor, and described instruction is by described at least one
A processor executes, so that at least one described processor is able to carry out the method.
Fourth aspect, the present invention also provides a kind of computer readable storage medium, the computer readable storage medium is deposited
Computer executable instructions are contained, the computer executable instructions are used to that computer to be made to execute the method.
The beneficial effects of the present invention are: the method and system provided by the invention for realizing Panoramagram montage fusion, by adopting
It is converted with contrast contourlet, using its profile characteristic, shows the minutia of image, good transition overlapping region,
So that image co-registration is more compact, consistent.Using this method, there is good syncretizing effect to realization scene image, very
The visual effect for meeting human eye, is with a wide range of applications.
Detailed description of the invention
Fig. 1 is the control schematic diagram of one embodiment of the invention;
Fig. 2 is the control schematic diagram of another embodiment of the present invention;
Fig. 3 is the contourlet transition diagram of one embodiment of the invention;
Fig. 4 is the anisotropic filter composition schematic diagram of one embodiment of the invention.
Specific embodiment
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.
The image co-registration that this programme combines contrast pyramid to decompose using color space transformation and contourlet transformation
Algorithm.HSI colour space transformation is carried out first, is obtained the brightness of image, is then based on contrast pyramid
Contourlet transformation carries out QMF compression to brightness, obtains different frequency band features, then merge to different frequency bands
Processing.The profile characteristic that the algorithm that this programme proposes makes full use of contourlet to convert, illustrates the minutia of image,
To realize the splicing syncretizing effect of panorama sketch well.
Referring to Fig.1-2, the present invention provides a kind of method for realizing Panoramagram montage fusion, comprising the following steps:
Each width image to be spliced is pre-processed respectively, overlapping image is converted into HSI color space;
HSI color space image degree of comparing contourlet transformation to obtaining;
Using inverse contrast contourlet conversion process;
Above-mentioned image is merged, and is converted to rgb color space;
By gained rgb color space image superposition into spliced map, panorama sketch is obtained.
The control method of the present embodiment include: image is pre-processed, HSI decompose, contrast contourlet transformation,
Fusion, inverse transformation and HSI reconstruct.
For Panoramagram montage, first have to be registrated, the pretreatment operations such as affine transformation.This programme is calculated using SURF
Method combines the matched method of secondary deflecting to carry out registration process to the image to be spliced, and then carries out the left side to the image after registration
Unified transformation, i.e. affine transformation.Due to the two images with intersection captured in same place, due to Image Acquisition
The coordinate of the rotation etc. of module such as camera, real image can change;Therefore it needs to carry out affine transformation to original image.
In addition to above-mentioned processing is complete, in order to improve the quality of blending image, it is also necessary to be exposed benefit to the image before fusion
It repays, enhance, except the processing such as hot-tempered.
For the color image presented in the form of RGB is trichromatic, it is not well positioned to meet people but in terms of image processing
The perception of eye.More meet the description color characteristic that human eye is received is the HSI color space for being called hue, saturation, intensity.
Wherein, tone, saturation degree are collectively referred to as coloration again.Coloration and brightness directly characterize the color information of human eye perception.
For the image of RGB form, can be converted by following formula to HSI color space;
Wherein, RGB respectively indicates the red, green, blue component of pel.
Referring to Fig. 3, then degree of comparing contourlet is converted;Contourlet transformation can be very good capture image
Direction character, and have lower redundancy.Contourlet transformation includes: to carry out bandpass sampling to image, and it is general to establish drawing
Lars pyramid carries out multi-resolution decomposition;Directional Decomposition is continued using anisotropic filter group, obtains directional subband.Two processes
Independently of each other, it is conducive to understand.
Contrast pyramid, also known as ratio low pass pyramid, recognition effect are more advantageous to human eye identification.Contrast gold word
The building of tower is the process successively filtered by gauss low frequency filter.If the original image of input is I (x.y), it is defined as the 0th layer
I0, each layer obtained through Gassian low-pass filter is In, then the process for filtering next layer of construction is Rd (), it can be obtained:
Wherein, 1≤n≤N.Since each layer generated during low-pass filtering is low resolution, so will be to this
Low pass layer does interpolation processing, generates high-frequency data.Definition Interpolation Process is Ed () i, then:
Indicate InIt carries out k interpolation and obtains In,k, wherein w (m, n) is filter function.
This programme is the contourlet transformation based on contrast pyramid, defines the contrast of image are as follows:
Wherein g indicates the brightness of image point, g1Indicate the background luminance of the point.Define contrast pyramid are as follows:
Contrast pyramid is to use corresponding inverse process can be with restored image the complete reversible decomposable process of original image
I (x.y), such as following formula:
Contourlet transformation includes low-pass filtering and trend pass filtering.This programme is using anisotropic filter/group progress direction
Filtering.Anisotropic filter group (DFB) is the algorithm that a kind of pair of image carries out tree decomposition.One 4 is shown referring to Fig. 4
The first order and the second level are set to Q by the structure of direction DFB respectively0、Q1, for whole system, lower sampling matrix can be with table
It is shown as Q0Q1=2E2, in which:
Replace contrast pyramid to decompose using laplace expansion process, enhance the contrast metric of blending image,
Increase the recognition effect of image.
Image obtains corresponding high fdrequency component and low frequency component after contourlet is converted;High fdrequency component essentially describes
The details of image, such as mutation, the contour edge of texture;Low frequency component essentially describes region more gentle in image, right
The splicing effect of image is mainly reflected in background characteristics.Therefore, different fusion means need to be used.
Preferably, for low frequency component use direct Weighted Average Algorithm, i.e. F (x, y)={ A (x, y)+B (x, y) } ×
50%;Fusion treatment is carried out using Weighted Fusion method for high fdrequency component;As two width are converted by contrast pyramid
High fdrequency component is F1(x,y),F2(x, y), then high-frequency therapeutic treatment is obtained by following formula:
I.e. for high fdrequency component, the high fdrequency component of blending image is replaced in such a way that absolute value compares, it is very big in this way
Reservation image details, avoiding fusion process leads to the blurring of image detail.
The above-mentioned intersection just for connection image then retains original image feature for non-coincidence part.
This programme is accurately registrated to from homologous or non-homogeneous multiple image first, and carries out coordinate as required
Space conversion, finally carries out splicing fusion to image.
Color space variation is done to the overlapping region for the image to be spliced being registrated, image is turned from rgb color space
It is changed to HSI color space;
The HSI spatial image being converted to converted based on contrast pyramid, that is, chooses the luminance component I of image
It is converted.To coloration H and saturation degree S is based on, arithmetic mean calculating is carried out respectively, can reduce the two in this way in coloration and saturation
Difference on degree increases the continuity of fusion;
To the low frequency component coefficient of above-mentioned acquisition, handled according to arithmetic mean method;
To high fdrequency component coefficient, calculated according to absolute value comparison method;
The data of acquisition are carried out to the brightness point that the fused space HSI is changed to based on the inversion that contrast pyramid converts
Measure I;For low frequency component using asking arithmetic mean method to carry out fusion treatment, such arithmetic speed will not be reduced and is easily achieved,
Operation duration can significantly be saved.
Finally, fused image is converted back rgb color space and is added in stitching image, to obtain final
Panorama sketch.
On the other hand, the present invention also provides a kind of systems for realizing Panoramagram montage fusion, comprising:
Image pre-processing module respectively pre-processes each width image to be spliced for executing step, by overlay chart
As being converted to HSI color space;
Contrast variation's module, for executing step to obtained HSI color space image degree of comparing
Contourlet transformation;Using inverse contrast contourlet conversion process;
Image fusion processing module merges above-mentioned image for executing step, and is converted to rgb color space;It will
Gained rgb color space image superposition obtains panorama sketch into spliced map.
In another aspect, the present invention also provides a kind of equipment for realizing Panoramagram montage fusion, comprising:
At least one processor;And
The memory being connect at least one described processor communication;Wherein,
The memory is stored with the instruction that can be executed by least one described processor, and described instruction is by described at least one
A processor executes, so that at least one described processor is able to carry out the method.
Fourth aspect, the present invention also provides a kind of computer readable storage medium, the computer readable storage medium is deposited
Computer executable instructions are contained, the computer executable instructions are used to that computer to be made to execute the method.
The method and system provided by the invention for realizing Panoramagram montage fusion, turn by using contrast contourlet
It changes, using its profile characteristic, shows the minutia of image, good transition overlapping region, so that image co-registration is more stepped up
It gathers, unanimously.Using this method, there is good syncretizing effect to realization scene image, meet very much the visual effect of human eye, have
Have a wide range of applications.
It is to be illustrated to preferable implementation of the invention, but the invention is not limited to the implementation above
Example, those skilled in the art can also make various equivalent variations on the premise of without prejudice to spirit of the invention or replace
It changes, these equivalent deformations or replacement are all included in the scope defined by the claims of the present application.
Claims (8)
1. a kind of method for realizing Panoramagram montage fusion, which comprises the following steps:
Each width image to be spliced is pre-processed respectively, overlapping image is converted into HSI color space;
HSI color space image degree of comparing contourlet transformation to obtaining;
Using inverse contrast contourlet conversion process;
Above-mentioned image is merged, and is converted to rgb color space;
By gained rgb color space image superposition into spliced map, panorama sketch is obtained.
2. the method according to claim 1 for realizing Panoramagram montage fusion, which is characterized in that the pretreatment includes:
Each width image to be spliced is registrated, and affine transformation is carried out to overlapping region.
3. it is according to claim 2 realize Panoramagram montage fusion method, which is characterized in that it is described to overlapping region into
Row affine transformation comprising image is transformed into HSI color space by following formula from rgb color space;
Wherein, RGB respectively indicates the red, green, blue component of pel.
4. it is according to any one of claims 1 to 3 realize Panoramagram montage fusion method, which is characterized in that it is described into
Row contrast contourlet transformation, comprising:
Bandpass sampling is carried out to image, laplacian pyramid is established and carries out multi-resolution decomposition;
Continue Directional Decomposition, obtains directional subband.
5. the method according to claim 4 for realizing Panoramagram montage fusion, which is characterized in that image is through contourlet
Corresponding high fdrequency component and low frequency component are obtained after transformation;Wherein high fdrequency component is carried out at fusion using Weighted Fusion method
Reason;Low frequency component, which is used, asks arithmetic mean method to carry out fusion treatment.
6. a kind of system for realizing Panoramagram montage fusion characterized by comprising
Image pre-processing module respectively pre-processes each width image to be spliced for executing step, and overlapping image is turned
It is changed to HSI color space;
Contrast variation's module becomes obtained HSI color space image degree of comparing contourlet for executing step
It changes;Using inverse contrast contourlet conversion process;
Image fusion processing module merges above-mentioned image for executing step, and is converted to rgb color space;By gained
Rgb color space image superposition obtains panorama sketch into spliced map.
7. a kind of equipment for realizing Panoramagram montage fusion characterized by comprising
At least one processor;And
The memory being connect at least one described processor communication;Wherein,
The memory is stored with the instruction that can be executed by least one described processor, and described instruction is by described at least one
It manages device to execute, so that at least one described processor is able to carry out such as method described in any one of claim 1 to 5.
8. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has computer can
It executes instruction, the computer executable instructions are for making computer execute such as method described in any one of claim 1 to 5.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810879507.7A CN109191368B (en) | 2018-08-03 | 2018-08-03 | Method, system equipment and storage medium for realizing splicing and fusion of panoramic pictures |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810879507.7A CN109191368B (en) | 2018-08-03 | 2018-08-03 | Method, system equipment and storage medium for realizing splicing and fusion of panoramic pictures |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109191368A true CN109191368A (en) | 2019-01-11 |
CN109191368B CN109191368B (en) | 2023-04-14 |
Family
ID=64920089
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810879507.7A Active CN109191368B (en) | 2018-08-03 | 2018-08-03 | Method, system equipment and storage medium for realizing splicing and fusion of panoramic pictures |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109191368B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111713095A (en) * | 2019-08-14 | 2020-09-25 | 深圳市大疆创新科技有限公司 | Image processing method and device, image shooting equipment and mobile terminal |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110182509A1 (en) * | 2010-01-25 | 2011-07-28 | Apple Inc. | Image Preprocessing |
CN105469364A (en) * | 2015-10-26 | 2016-04-06 | 厦门理工学院 | Medical image fusion method combined with wavelet transformation domain and spatial domain |
CN105761214A (en) * | 2016-01-14 | 2016-07-13 | 西安电子科技大学 | Remote sensing image fusion method based on contourlet transform and guided filter |
CN105825491A (en) * | 2016-03-17 | 2016-08-03 | 江苏科技大学 | Image fusion method based on hybrid model |
CN205707396U (en) * | 2016-02-23 | 2016-11-23 | 普宙飞行器科技(深圳)有限公司 | A kind of unmanned plane panned |
CN106303296A (en) * | 2016-08-30 | 2017-01-04 | 许昌学院 | A kind of image mosaic emerging system |
CN106570123A (en) * | 2016-11-02 | 2017-04-19 | 中国科学院深圳先进技术研究院 | Adjacent object association rule based remote sensing image retrieval method and system |
-
2018
- 2018-08-03 CN CN201810879507.7A patent/CN109191368B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110182509A1 (en) * | 2010-01-25 | 2011-07-28 | Apple Inc. | Image Preprocessing |
CN105469364A (en) * | 2015-10-26 | 2016-04-06 | 厦门理工学院 | Medical image fusion method combined with wavelet transformation domain and spatial domain |
CN105761214A (en) * | 2016-01-14 | 2016-07-13 | 西安电子科技大学 | Remote sensing image fusion method based on contourlet transform and guided filter |
CN205707396U (en) * | 2016-02-23 | 2016-11-23 | 普宙飞行器科技(深圳)有限公司 | A kind of unmanned plane panned |
CN105825491A (en) * | 2016-03-17 | 2016-08-03 | 江苏科技大学 | Image fusion method based on hybrid model |
CN106303296A (en) * | 2016-08-30 | 2017-01-04 | 许昌学院 | A kind of image mosaic emerging system |
CN106570123A (en) * | 2016-11-02 | 2017-04-19 | 中国科学院深圳先进技术研究院 | Adjacent object association rule based remote sensing image retrieval method and system |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111713095A (en) * | 2019-08-14 | 2020-09-25 | 深圳市大疆创新科技有限公司 | Image processing method and device, image shooting equipment and mobile terminal |
Also Published As
Publication number | Publication date |
---|---|
CN109191368B (en) | 2023-04-14 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20220292658A1 (en) | Image fusion method and apparatus, storage medium, and electronic device | |
CN105915909B (en) | A kind of high dynamic range images layered compression method | |
Xiong et al. | Fast panorama stitching for high-quality panoramic images on mobile phones | |
DE102019213184A1 (en) | METHOD AND SYSTEM FOR AUTOMATIC WHITE BALANCE BASED ON DEEP LEARNING | |
CN103226822B (en) | Medical imaging joining method | |
CN105850114A (en) | Method for inverse tone mapping of an image | |
CN106791623A (en) | A kind of panoramic video joining method and device | |
US11763432B2 (en) | Multi-exposure image fusion method based on feature distribution weight of multi-exposure image | |
JP2022524806A (en) | Image fusion method and mobile terminal | |
CN109118463B (en) | SAR image and optical image fusion method based on HSL and image entropy | |
CN110930341A (en) | Low-illumination image enhancement method based on image fusion | |
CN110599418B (en) | Global tone mapping method for transform domain fusion | |
CN111260580A (en) | Image denoising method based on image pyramid, computer device and computer readable storage medium | |
CN103065282A (en) | Image fusion method based on sparse linear system | |
CN111145290A (en) | Image colorization method, system and computer readable storage medium | |
CN111105359A (en) | Tone mapping method for high dynamic range image | |
Song et al. | Multi-scale joint network based on Retinex theory for low-light enhancement | |
CN106709888B (en) | A kind of high dynamic range images production method based on human vision model | |
CN109191368A (en) | A kind of method, system equipment and storage medium for realizing Panoramagram montage fusion | |
CN110321452A (en) | A kind of image search method based on direction selection mechanism | |
CN110232730A (en) | A kind of three-dimensional face model textures fusion method and computer-processing equipment | |
CN112734679A (en) | Fusion defogging method for medical operation video images | |
CN110246086A (en) | The image processing method and its image processing system of color image enhancement | |
CN116801115A (en) | Sparse array camera deployment method | |
Li et al. | Image mosaic and hybrid fusion algorithm based on pyramid decomposition |
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 | ||
PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: A method, system equipment, and storage medium for achieving panoramic image stitching and fusion Effective date of registration: 20230728 Granted publication date: 20230414 Pledgee: CITIC Bank Limited by Share Ltd. Shenzhen branch Pledgor: SHENZHEN SUPOIN TECHNOLOGY Corp. Registration number: Y2023980050243 |
|
PP01 | Preservation of patent right | ||
PP01 | Preservation of patent right |
Effective date of registration: 20240201 Granted publication date: 20230414 |