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Title:
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Adaptive-quantization digital image sensor for low-power image compression.
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Author:
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Chen, Shoushun.; Amine, Bermak.; Wang, Yan.; Dominique, Martinez.
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Copyright year:
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2007 |
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Abstract:
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The recent emergence of new applications in the area
of wireless video sensor network and ultra-low-power biomedical
applications (such as the wireless camera pill) have created new
design challenges and frontiers requiring extensive research work.
In such applications, it is often required to capture a large amount
of data and process them in real time while the hardware is constrained
to take very little physical space and to consume very little
power. This is only possible using custom single-chip solutions integrating
image sensor and hardware-friendly image compression
algorithms. This paper proposes an adaptive quantization scheme
based on boundary adaptation procedure followed by an online
quadrant tree decomposition processing enabling low power and
yet robust and compact image compression processor integrated
together with a digital CMOS image sensor. The image sensor chip
has been implemented using 0.35- m CMOS technology and operates
at 3.3 V. Simulation and experimental results show compression
figures corresponding to 0.6–0.8 bit per pixel, while maintaining
reasonable peak signal-to-noise ratio levels and very low
operating power consumption. In addition, the proposed compression
processor is expected to benefit significantly from higher resolution
and Megapixels CMOS imaging technology. |
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Subject:
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems. |
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Type:
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Journal Article |
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Series/ Journal Title:
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IEEE transactions on circuits and systems part 1 regular papers |
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School:
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School of Electrical and Electronic Engineering |
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Rights:
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© 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
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Version:
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Published version |
