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Author, Editor

Author(s):

Goesele, Michael
Heidrich, Wolfgang
Seidel, Hans-Peter

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Editor(s):





BibTeX cite key*:

Goesele:2001:EBD

Title, Booktitle

Title*:

Entropy-Based Dark Frame Subtraction

Booktitle*:

Proceedings of PICS 2001: Image Processing, Image Quality, Image Capture, Systems Conference

Event, URLs

URL of the conference:

http://www.imaging.org/conferences/pics2001

URL for downloading the paper:


Event Address*:

Montreal, Canada

Language:

English

Event Date*
(no longer used):

April, 22 -- 25

Organization:

The Society for Imaging Science and Technology (IS&T)

Event Start Date:

22 April 2001

Event End Date:

25 April 2001

Publisher

Name*:

IS&T

URL:


Address*:

Springfield, VA, USA

Type:


Vol, No, Year, pp.

Series:


Volume:


Number:


Month:

April

Pages:

293-298

Year*:

2001

VG Wort Pages:

11

ISBN/ISSN:

0-89208-232-1

Sequence Number:


DOI:




Note, Abstract, ©


(LaTeX) Abstract:

Noise due to dark current is a serious limitation for taking
long exposure time images with a CCD digital camera. Current
solutions have serious drawbacks: interpolation of pixels with high
dark current leads to smoothing effects or other artifacts --
especially if a large number of pixels are corrupted. Due to the
exponential temperature dependence of the dark current, dark frame
subtraction works best for temperature controlled high end CCD imaging
systems.

On the physical level, two independent signals (charge generated by
photons hitting the CCD and by the dark current) are added. Due to its
random distribution, adding (or subtracting) the dark current noise
signal increases the entropy of the resulting image. The entropy is
minimal if the dark current signal is not present at all.

A dark frame is a good representation of the dark current noise. As
the generated dark current depends on the temperature equally for all
pixels, a noisy image can be cleaned by the subtraction of a scaled
dark frame. The scaling factor can be determined in an optimization
step which tries to minimize the entropy of the cleaned image.

We implemented a software system that effectively removes dark current
noise even from highly corrupted images. The resulting images contain
almost no visible artifacts since only the noise signal is removed. This
extends the range of usable exposure times of digital cameras without
temperature control systems by about one to two orders of magnitude.

Keywords:

CCD, noise removal, dark current, entropy



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Access Level:

Working Group

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Computer Graphics Group

Audience:

Expert

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, CCL bibliography



BibTeX Entry:

@INPROCEEDINGS{Goesele:2001:EBD,
AUTHOR = {Goesele, Michael and Heidrich, Wolfgang and Seidel, Hans-Peter},
TITLE = {Entropy-Based Dark Frame Subtraction},
BOOKTITLE = {Proceedings of PICS 2001: Image Processing, Image Quality, Image Capture, Systems Conference},
PUBLISHER = {IS&T},
YEAR = {2001},
ORGANIZATION = {The Society for Imaging Science and Technology (IS&T)},
PAGES = {293--298},
ADDRESS = {Montreal, Canada},
MONTH = {April},
ISBN = {0-89208-232-1},
}


Entry last modified by Michael Gösele, 03/12/2010
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Editor(s)
Michael Gösele
Created
01/24/2001 04:11:32 PM
Revisions
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Editor(s)
Michael Gösele
Michael Gösele
Michael Gösele
Michael Gösele
Michael Gösele
Edit Dates
11/04/2004 09:19:34 AM
11/04/2004 09:19:00 AM
03.01.2002 11:56:58
27.08.2001 17:33:02
18/06/2001 13:53:48