CN105187739B - Camera sensor design method based on HDR algorithms - Google Patents
Camera sensor design method based on HDR algorithms Download PDFInfo
- Publication number
- CN105187739B CN105187739B CN201510598491.9A CN201510598491A CN105187739B CN 105187739 B CN105187739 B CN 105187739B CN 201510598491 A CN201510598491 A CN 201510598491A CN 105187739 B CN105187739 B CN 105187739B
- Authority
- CN
- China
- Prior art keywords
- image
- subgraph
- exposure
- merged
- row
- 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.)
- Active
Links
Landscapes
- Image Processing (AREA)
- Studio Devices (AREA)
Abstract
Camera sensor design method provided by the invention based on HDR algorithms, including:Exposure parameter by controlling each row collects exposure image;The exposure image is split to obtain multiple first subgraphs;The multiple first subgraph is obtained into multiple second subgraphs by bicubic interpolation algorithm into row interpolation;The multiple second subgraph is merged to obtain blending image.The present invention can enhance the dynamic range of image.
Description
Technical field
The present invention relates to camera sensor technologies, more particularly to a kind of camera sensor design side based on HDR algorithms
Method.
Background technology
Existing HDR algorithms are and multiple figures to be acquired under different exposure parameters by the way that different exposure parameter is arranged
Picture, then by multiple image co-registrations at piece image.Acquisition image temporal can be caused long in this way, and memory consumption is excessive.
Simultaneously because under different exposure parameters, there are displacements between each image, so needing to carry out image pair before fusion
Standard increases the complexity of HDR algorithms in this way.
Invention content
Camera sensor design method provided by the invention based on HDR algorithms, can enhance the dynamic range of image.
According to an aspect of the present invention, a kind of camera sensor design method based on HDR algorithms is provided, including:
Exposure parameter by controlling each row collects exposure image;The exposure image is split to obtain multiple
First subgraph;The multiple first subgraph is obtained into multiple second subgraphs by bicubic interpolation algorithm into row interpolation;
The multiple second subgraph is merged to obtain blending image.
Camera sensor design method provided in an embodiment of the present invention based on HDR algorithms, by the exposure for controlling each row
Parameter acquisition obtains exposure image, and exposure image is split to obtain multiple first subgraphs, multiple first subgraphs are led to
It crosses bicubic interpolation algorithm and obtains multiple second subgraphs into row interpolation, multiple second subgraphs are merged to obtain fusion figure
Picture, so as to enhance the dynamic range of image.
Description of the drawings
Fig. 1 is the camera sensor design method flow chart provided in an embodiment of the present invention based on HDR algorithms;
Fig. 2 is the pel array schematic diagram of multiple first subgraphs provided in an embodiment of the present invention.
Specific implementation mode
To provided in an embodiment of the present invention, the camera sensor design method based on HDR algorithms carries out in detail below in conjunction with the accompanying drawings
Thin description.
Fig. 1 is the camera sensor design method flow chart provided in an embodiment of the present invention based on HDR algorithms.
Referring to Fig.1, in step S101, the exposure parameter by controlling each row collects exposure image.
In step S102, exposure image is split to obtain multiple first subgraphs.
In step S103, multiple first subgraphs are obtained into multiple second subgraphs by bicubic interpolation algorithm into row interpolation
Picture.
In step S104, multiple second subgraphs are merged to obtain blending image.
Further, the exposure parameter of each row includes under-exposure parameter, normal exposure parameter and overexposure optical parameter, institute
It states and collects exposure image by controlling the exposure parameter of each row and include:
Described image is carried out by controlling the under-exposure parameter, the normal exposure parameter and the overexposure optical parameter
Exposure obtains the exposure image.
Further, the multiple first subgraph includes under-exposure subgraph, normal exposure subgraph and overexposure photon
Image, it is described split the exposure image to obtain multiple first subgraphs include:
The exposure image is split to obtain the under-exposure subgraph, the normal exposure subgraph and the mistake
Expose subgraph.
Further, it is described the multiple second subgraph is merged to obtain blending image include:
The multiple second subgraph is merged by the method for Multiscale Fusion to obtain the blending image.
Further, it is described the multiple second subgraph is merged to obtain by the method for Multiscale Fusion it is described
Blending image includes:
Construct multi-Scale Pyramid image sequence;
The multiple second subgraph is merged to obtain each scale by the multi-Scale Pyramid image sequence
Composograph;
The composograph of each scale is reconstructed according to pyramidal inverse process, to obtain the fusion figure
Picture.
Fig. 2 is the pel array schematic diagram of multiple first subgraphs provided in an embodiment of the present invention.
With reference to Fig. 2, the pel array of multiple first subgraphs can be such as, but not limited to, it is specially 1600*1800,
Show that there are 1800 rows and 1600 row.
Multiple first subgraphs include that under-exposure subgraph, normal exposure subgraph and overexposure photon image specifically will
Exposure image obtains under-exposure subgraph under under-exposure parameter;Exposure image is obtained into normal exposure under normal exposure parameter
Subgraph;Exposure image is obtained into overexposure photon image under overexposure optical parameter.
Under-exposure subgraph correspondence the 1st, 4,7,10,13 ... 1+3 (n-1) rows, pixel 1600*600;Normal exposure
Image correspondence the 2nd, 5,8,11,14 ... 2+3 (n-1) rows, pixel 1600*600;Overexposure photon image correspond to the 3rd, 6,9,
12,15 ... 3n rows, pixel 1600*600.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (3)
1. a kind of camera sensor design method based on HDR algorithms, which is characterized in that the method includes:
Exposure parameter by controlling each row collects exposure image;
The exposure image is split to obtain multiple first subgraphs;
The multiple first subgraph is obtained into multiple second subgraphs by bicubic interpolation algorithm into row interpolation;
The multiple second subgraph is merged to obtain blending image;
Wherein, the exposure parameter of each row of control, specially:
It goes to the 1st, 4,7,10,13 ... 1+3 (n-1), under-exposure parameter is set;To the 2nd, 5,8,11,14 ... 2+3 (n-1)
Normal exposure parameter is arranged in row;To the 3rd, 6,9,12,15 ... 3n rows, overexposure optical parameter is set;N=1,2,3 ..., 1800;
The multiple first subgraph, including:Under-exposure subgraph, normal exposure subgraph and overexposure photon image;
The resolution ratio of the exposure image is 1600*1800, and the first subgraph resolution ratio is 1600*600.
2. according to the method described in claim 1, it is characterized in that, described merged to obtain to the multiple second subgraph
Blending image includes:
The multiple second subgraph is merged by the method for Multiscale Fusion to obtain the blending image.
3. according to the method described in claim 2, it is characterized in that, described melt the multiple second subgraph by multiple dimensioned
The method of conjunction is merged to obtain the blending image:
Construct multi-Scale Pyramid image sequence;
The multiple second subgraph is merged to obtain the conjunction of each scale by the multi-Scale Pyramid image sequence
At image;
The composograph of each scale is reconstructed according to pyramidal inverse process, to obtain the blending image.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510598491.9A CN105187739B (en) | 2015-09-18 | 2015-09-18 | Camera sensor design method based on HDR algorithms |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510598491.9A CN105187739B (en) | 2015-09-18 | 2015-09-18 | Camera sensor design method based on HDR algorithms |
Publications (2)
Publication Number | Publication Date |
---|---|
CN105187739A CN105187739A (en) | 2015-12-23 |
CN105187739B true CN105187739B (en) | 2018-10-26 |
Family
ID=54909563
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510598491.9A Active CN105187739B (en) | 2015-09-18 | 2015-09-18 | Camera sensor design method based on HDR algorithms |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105187739B (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108717690B (en) * | 2018-05-21 | 2022-03-04 | 电子科技大学 | Method for synthesizing high dynamic range picture |
TWI730746B (en) * | 2020-04-30 | 2021-06-11 | 群邁通訊股份有限公司 | Device and method for generating high dynamic range image, readable storage medium |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101350890A (en) * | 2007-08-31 | 2009-01-21 | 豪威科技有限公司 | Image sensor with high dynamic range under downsampling mode |
CN101816171A (en) * | 2007-10-03 | 2010-08-25 | 诺基亚公司 | Multi-exposure pattern for enhancing dynamic range of images |
CN104616273A (en) * | 2015-01-26 | 2015-05-13 | 电子科技大学 | Multi-exposure image fusion method based on Laplacian pyramid decomposition |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101633893B1 (en) * | 2010-01-15 | 2016-06-28 | 삼성전자주식회사 | Apparatus and Method for Image Fusion |
CN102075688B (en) * | 2010-12-28 | 2012-07-25 | 青岛海信网络科技股份有限公司 | Wide dynamic processing method for single-frame double-exposure image |
CN104168403B (en) * | 2014-06-27 | 2018-03-02 | 深圳市大疆创新科技有限公司 | High dynamic range video method for recording and device based on Baeyer color filter array |
CN104835130A (en) * | 2015-04-17 | 2015-08-12 | 北京联合大学 | Multi-exposure image fusion method |
-
2015
- 2015-09-18 CN CN201510598491.9A patent/CN105187739B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101350890A (en) * | 2007-08-31 | 2009-01-21 | 豪威科技有限公司 | Image sensor with high dynamic range under downsampling mode |
CN101816171A (en) * | 2007-10-03 | 2010-08-25 | 诺基亚公司 | Multi-exposure pattern for enhancing dynamic range of images |
CN104616273A (en) * | 2015-01-26 | 2015-05-13 | 电子科技大学 | Multi-exposure image fusion method based on Laplacian pyramid decomposition |
Also Published As
Publication number | Publication date |
---|---|
CN105187739A (en) | 2015-12-23 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
TWI513297B (en) | Image processing apparatus and image processing method | |
MY184812A (en) | Image sensor, output method, phase focusing method, imaging device, and terminal | |
JP2010020758A5 (en) | ||
CN103392335B (en) | The device and method with display image are obtained in real time | |
CN107590791B (en) | Image enhancement method and image processing apparatus | |
JP2014150521A5 (en) | ||
MY180913A (en) | Imaging method, imaging device, and electronic device | |
JP2014023070A5 (en) | ||
JP2006115246A5 (en) | ||
CN105187722A (en) | Depth-of-field adjustment method and apparatus, terminal | |
CN107370917B (en) | Control method, electronic device, and computer-readable storage medium | |
KR20190018760A (en) | Method for generating high-dynamic range image, camera device, terminal and imaging method | |
KR20180067052A (en) | Method of obtaining wide dynamic range image, image pickup device performing the same and electronic system including the same | |
CN106507069B (en) | Control method, control device and electronic device | |
JP7359759B2 (en) | Method and device for processing within the camera | |
JP6191517B2 (en) | Detection apparatus, detection program, and detection method | |
CN105578075A (en) | Method for generating high-dynamic range image, photographing device and terminal | |
JP2015103909A5 (en) | ||
CN106506984B (en) | Image processing method and device, control method and device, imaging and electronic device | |
US10685474B2 (en) | Method for repairing incomplete 3D depth image using 2D image information | |
CN102984463A (en) | Method and system for image processing | |
CN105187739B (en) | Camera sensor design method based on HDR algorithms | |
CN105719274A (en) | Edge Detection System And Methods | |
CN106504217B (en) | Image processing method, image processing apparatus, imaging device and electronic device | |
WO2014207438A2 (en) | Data processing system and method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |