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Noise Reduction in CMOS Image
Sensors for High Quality Imaging The Autocorrelation Function Filter on
Burst Image Sequences
Kazuhiro Hoshino (1), Frank Nielsen (2,3), Toshihiro Nishimura (4)
(1) Image Sensor Business Group, Sony
Corporation, 4-14-1 Asahi-chou, Atsugi-shi, Kanagawa, Japan
(2) Sony Computer Science
Laboratories, Inc. 3-14-13 Higashi Gotanda, Shinagawa-ku, Tokyo,
Japan
(3) École Polytechnique, LIX,
F-91128 Palaiseau Cedex, France
(4) Graduate School of Information, Production and Systems,
Waseda University,
2-7 Hibikino, Wakamatsu, Kitakyushu, Fukuoka, Japan
Abstract:
We propose a new method for image noise detection and
reduction in complementary metal oxide semiconductor (CMOS)
image sensors inspired from audio noise cancelling
techniques. Our algorithm is based on computing efficiently
the time-dependent pixel autocorrelation function (ACF) from
constant time interval cquired sequences of images. We
demonstrate the effectiveness of our approach for
successfully detecting and reducing white noise. Further, we
consider an adaptive filter that exhibits significant
computational improvements making it highly practical.
Finally, we report on experiments displaying the high
quality imaging systems obtained in practice.
Keywords:
CMOS image sensor, white noise, autocorrelation function (ACF),
noise canceller.
( Full Paper
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Biography:
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Ch.Kazuhiro
Hoshino is a researcher in imaging technology.
He obtained the Bachelor Science degree from
Yokohama National University in 1984. He started
research of LSI process in 1998 and joined in 1999
the international microelectronics center (IMEC) in
Belgium as a researcher in advanced LSI processing
and later in CCD image sensors. His research
interests are camera systems, CMOS image sensors and
noise reduction. He is with Sony Corporation and he
preparing his Ph. D. in Waseda University, Japan. |
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Frank Nielsen defended his PhD thesis on
adaptive computational geometry prepared at INRIA
Sophia-Antipolis (France). In 1997, he served in the
army as a scientific member in the computer science
laboratory of Ecole Polytechnique. In 1998, he
joined Sony Computer Science Laboratories Inc.,
Tokyo (Japan), where he is senior researcher. His
current research interests include geometry, vision,
graphics, learning, and optimization. He authored
the book Visual Computing: Geometry, Graphics, and
Vision, ISBN 1584504277, 2005. |
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Toshihiro
Nishimura is an associate professor of Waseda
University. He is interested in neural network,
neuron science, healing science, CMOS image sensor,
power electronics, medical imaging, visual cognitive
science, hearing cognitive science, brain science
and artificial vision. He is currently affiliated
with the Information Architecture, Graduate School
of Waseda University, Japan. |
BibTex:
@ARTICLE{P1150740001,
AUTHOR = {Kazuhiro Hoshino and Frank Nielsen
and Toshihiro Nishimura},
TITLE = {Noise Reduction in CMOS Image
Sensors for High Quality Imaging The Autocorrelation
Function Filter on Burst Image Sequences},
JOURNAL ={ICGST International Journal on
Graphics, Vision and Image Processing, GVIP},
YEAR = {2007},
VOLUME = {07},
ISSUE ={3},
PAGES={17--24}
}
(Full Paper
869 KB)
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