High dynamic range coding imaging system

Renfan Wu; Yifan Huang; Guangqi Hou

doi:10.1117/12.2074371

High dynamic range coding imaging system

Renfan Wu, Yifan Huang, Guangqi Hou

School of Optics and Photonics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We present a high dynamic range (HDR) imaging system design scheme based on coded aperture technique. This scheme can help us obtain HDR images which have extended depth of field. We adopt Sparse coding algorithm to design coded patterns. Then we utilize the sensor unit to acquire coded images under different exposure settings. With the guide of the multiple exposure parameters, a series of low dynamic range (LDR) coded images are reconstructed. We use some existing algorithms to fuse and display a HDR image by those LDR images. We build an optical simulation model and get some simulation images to verify the novel system.

Original language	English
Title of host publication	Optoelectronic Imaging and Multimedia Technology III
Editors	Qionghai Dai, Tsutomu Shimura
Publisher	SPIE
ISBN (Electronic)	9781628413465
DOIs	https://doi.org/10.1117/12.2074371
Publication status	Published - 2014
Event	Optoelectronic Imaging and Multimedia Technology III - Beijing, China Duration: 9 Oct 2014 → 11 Oct 2014

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	9273
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Optoelectronic Imaging and Multimedia Technology III
Country/Territory	China
City	Beijing
Period	9/10/14 → 11/10/14

Keywords

Coded aperture technique
HDR imaging
Optical simulation

Access to Document

10.1117/12.2074371

Cite this

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title = "High dynamic range coding imaging system",

abstract = "We present a high dynamic range (HDR) imaging system design scheme based on coded aperture technique. This scheme can help us obtain HDR images which have extended depth of field. We adopt Sparse coding algorithm to design coded patterns. Then we utilize the sensor unit to acquire coded images under different exposure settings. With the guide of the multiple exposure parameters, a series of low dynamic range (LDR) coded images are reconstructed. We use some existing algorithms to fuse and display a HDR image by those LDR images. We build an optical simulation model and get some simulation images to verify the novel system.",

keywords = "Coded aperture technique, HDR imaging, Optical simulation",

author = "Renfan Wu and Yifan Huang and Guangqi Hou",

note = "Publisher Copyright: {\textcopyright} 2014 SPIE.; Optoelectronic Imaging and Multimedia Technology III ; Conference date: 09-10-2014 Through 11-10-2014",

year = "2014",

doi = "10.1117/12.2074371",

language = "English",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Qionghai Dai and Tsutomu Shimura",

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High dynamic range coding imaging system. / Wu, Renfan; Huang, Yifan; Hou, Guangqi.
Optoelectronic Imaging and Multimedia Technology III. ed. / Qionghai Dai; Tsutomu Shimura. SPIE, 2014. 927309 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9273).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - We present a high dynamic range (HDR) imaging system design scheme based on coded aperture technique. This scheme can help us obtain HDR images which have extended depth of field. We adopt Sparse coding algorithm to design coded patterns. Then we utilize the sensor unit to acquire coded images under different exposure settings. With the guide of the multiple exposure parameters, a series of low dynamic range (LDR) coded images are reconstructed. We use some existing algorithms to fuse and display a HDR image by those LDR images. We build an optical simulation model and get some simulation images to verify the novel system.

AB - We present a high dynamic range (HDR) imaging system design scheme based on coded aperture technique. This scheme can help us obtain HDR images which have extended depth of field. We adopt Sparse coding algorithm to design coded patterns. Then we utilize the sensor unit to acquire coded images under different exposure settings. With the guide of the multiple exposure parameters, a series of low dynamic range (LDR) coded images are reconstructed. We use some existing algorithms to fuse and display a HDR image by those LDR images. We build an optical simulation model and get some simulation images to verify the novel system.

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KW - Optical simulation

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T2 - Optoelectronic Imaging and Multimedia Technology III

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ER -

High dynamic range coding imaging system

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