CN105187739B - Camera sensor design method based on HDR algorithms - Google Patents

Camera sensor design method based on HDR algorithms Download PDF

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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
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image
subgraph
exposure
merged
row
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CN105187739A (en
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姜安
朱海涛
谢启伟
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Beijing Zhong Ke Hui Yan Technology Ltd
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Beijing Zhong Ke Hui Yan Technology Ltd
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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

Camera sensor design method based on HDR algorithms
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.
CN201510598491.9A 2015-09-18 2015-09-18 Camera sensor design method based on HDR algorithms Active CN105187739B (en)

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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)

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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

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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

Patent Citations (3)

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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

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