CN105187739A - Camera sensor design method based on HDR algorithm - Google Patents

Camera sensor design method based on HDR algorithm Download PDF

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Publication number
CN105187739A
CN105187739A CN201510598491.9A CN201510598491A CN105187739A CN 105187739 A CN105187739 A CN 105187739A CN 201510598491 A CN201510598491 A CN 201510598491A CN 105187739 A CN105187739 A CN 105187739A
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subgraph
exposure
image
carried out
parameter
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CN105187739B (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

The invention provides a camera sensor design method based on an HDR algorithm. The camera sensor design method based on an HDR algorithm comprises: obtaining an exposure image by controlling acquisition of exposure parameters of each line; splitting the exposure image into a plurality of first sub-images; performing interpolation of the plurality of first sub-images through a bicubic interpolation algorithm to obtain a plurality of second sub-images; and fusing the plurality of second sub-images into a fusion image. The camera sensor design method based on an HDR algorithm can enhance the dynamic scope of images.

Description

Based on the camera sensor method for designing of HDR algorithm
Technical field
The present invention relates to camera sensor technology, particularly relate to a kind of camera sensor method for designing based on HDR algorithm.
Background technology
Existing HDR algorithm, is by arranging different exposure parameters, and gathers multiple images under different exposure parameter, then multiple image co-registration are become piece image.Can cause gathering image temporal so long, and memory consumption is excessive.Simultaneously due under different exposure parameter, between each image, there is displacement, so needed image to aim at before fusion, which increase the complexity of HDR algorithm.
Summary of the invention
Camera sensor method for designing based on HDR algorithm provided by the invention, can strengthen the dynamic range of image.
According to an aspect of the present invention, a kind of camera sensor method for designing based on HDR algorithm is provided, comprises:
Exposure image is collected by the exposure parameter controlling each row; Described exposure image is carried out fractionation and obtain multiple first subgraph; Described multiple first subgraph is carried out interpolation by bicubic interpolation algorithm and obtains multiple second subgraph; Fusion is carried out to described multiple second subgraph and obtains fused images.
The camera sensor method for designing based on HDR algorithm that the embodiment of the present invention provides, exposure image is collected by the exposure parameter controlling each row, exposure image is carried out fractionation and obtain multiple first subgraph, multiple first subgraph is carried out interpolation by bicubic interpolation algorithm and obtains multiple second subgraph, fusion is carried out to multiple second subgraph and obtains fused images, thus the dynamic range of image can be strengthened.
Accompanying drawing explanation
The camera sensor method for designing flow chart based on HDR algorithm that Fig. 1 provides for the embodiment of the present invention;
The pel array schematic diagram of multiple first subgraphs that Fig. 2 provides for the embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the camera sensor method for designing based on HDR algorithm that the embodiment of the present invention provides is described in detail.
The camera sensor method for designing flow chart based on HDR algorithm that Fig. 1 provides for the embodiment of the present invention.
With reference to Fig. 1, in step S101, collect exposure image by the exposure parameter controlling each row.
In step S102, exposure image is carried out fractionation and obtain multiple first subgraph.
In step S103, multiple first subgraph is carried out interpolation by bicubic interpolation algorithm and obtains multiple second subgraph.
In step S104, fusion is carried out to multiple second subgraph and obtains fused images.
Further, the exposure parameter of described each row comprises under-exposure parameter, normal exposure parameter and overexposure parameter, and the described exposure parameter by controlling each row collects exposure image and comprises:
Described image is carried out exposure obtain described exposure image by controlling described under-exposure parameter, described normal exposure parameter and described overexposure parameter.
Further, described multiple first subgraph comprises under-exposure subgraph, normal exposure subgraph and overexposure subgraph, describedly described exposure image is carried out fractionation and obtains multiple first subgraph and comprise:
Described exposure image is carried out fractionation and obtain described under-exposure subgraph, described normal exposure subgraph and described overexposure subgraph.
Further, describedly fusion is carried out to described multiple second subgraph obtain fused images and comprise:
By the method for Multiscale Fusion, fusion is carried out to described multiple second subgraph and obtains described fused images.
Further, describedly by the method for Multiscale Fusion, fusion is carried out to described multiple second subgraph obtain described fused images and comprise:
Structure multi-Scale Pyramid image sequence;
Described multiple second subgraph is undertaken merging the composograph obtaining each yardstick by described multi-Scale Pyramid image sequence;
The composograph of each yardstick described is reconstructed according to pyramidal inverse process, thus obtains described fused images.
The pel array schematic diagram of multiple first subgraphs that Fig. 2 provides for the embodiment of the present invention.
With reference to Fig. 2, the pel array of multiple first subgraph can be such as, but not limited to, being specially 1600*1800, shows to have 1800 row and 1600 row.
Multiple first subgraph comprises under-exposure subgraph, normal exposure subgraph and overexposure subgraph, particularly, exposure image is obtained under-exposure subgraph under under-exposure parameter; Exposure image is obtained normal exposure subgraph under normal exposure parameter; Exposure image is obtained overexposure subgraph under overexposure parameter.
Under-exposure subgraph corresponding 1st, 4,7,10,13 ... OK, pixel is 1600*600 to 1+3 (n-1); Normal exposure subgraph corresponding 2nd, 5,8,11,14 ... OK, pixel is 1600*600 to 2+3 (n-1); Overexposure subgraph corresponding 3rd, 6,9,12,15 ... 3n is capable, and pixel is 1600*600.
The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; change can be expected easily or replace, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of described claim.

Claims (5)

1. based on a camera sensor method for designing for HDR algorithm, it is characterized in that, described method comprises:
Exposure image is collected by the exposure parameter controlling each row;
Described exposure image is carried out fractionation and obtain multiple first subgraph;
Described multiple first subgraph is carried out interpolation by bicubic interpolation algorithm and obtains multiple second subgraph;
Fusion is carried out to described multiple second subgraph and obtains fused images.
2. method according to claim 1, is characterized in that, the exposure parameter of described each row comprises under-exposure parameter, normal exposure parameter and overexposure parameter, and the described exposure parameter by controlling each row collects exposure image and comprises:
Described image is carried out exposure obtain described exposure image by controlling described under-exposure parameter, described normal exposure parameter and described overexposure parameter.
3. method according to claim 2, is characterized in that, described multiple first subgraph comprises under-exposure subgraph, normal exposure subgraph and overexposure subgraph, describedly described exposure image is carried out fractionation and obtains multiple first subgraph and comprise:
Described exposure image is carried out fractionation and obtain described under-exposure subgraph, described normal exposure subgraph and described overexposure subgraph.
4. method according to claim 1, is characterized in that, describedly carries out fusion to described multiple second subgraph and obtains fused images and comprise:
By the method for Multiscale Fusion, fusion is carried out to described multiple second subgraph and obtains described fused images.
5. method according to claim 4, is characterized in that, describedly carries out fusion to described multiple second subgraph by the method for Multiscale Fusion and obtains described fused images and comprise:
Structure multi-Scale Pyramid image sequence;
Described multiple second subgraph is undertaken merging the composograph obtaining each yardstick by described multi-Scale Pyramid image sequence;
The composograph of each yardstick described is reconstructed according to pyramidal inverse process, thus obtains described fused images.
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CN108717690A (en) * 2018-05-21 2018-10-30 电子科技大学 A kind of synthetic method of high dynamic range photo
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

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CN104168403A (en) * 2014-06-27 2014-11-26 深圳市大疆创新科技有限公司 High dynamic range video recording method and device based on Bayer color filtering array
CN104616273A (en) * 2015-01-26 2015-05-13 电子科技大学 Multi-exposure image fusion method based on Laplacian pyramid decomposition
CN104835130A (en) * 2015-04-17 2015-08-12 北京联合大学 Multi-exposure image fusion method

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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
US20110176024A1 (en) * 2010-01-15 2011-07-21 Samsung Electronics Co., Ltd. Image Fusion Apparatus and Method
CN102075688A (en) * 2010-12-28 2011-05-25 青岛海信网络科技股份有限公司 Wide dynamic processing method for single-frame double-exposure image
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108717690A (en) * 2018-05-21 2018-10-30 电子科技大学 A kind of synthetic method of high dynamic range photo
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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

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