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Adaptive-quantization digital image sensor for low-power image compression

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Adaptive-quantization digital image sensor for low-power image compression

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dc.contributor.author Chen, Shoushun
dc.contributor.author Amine, Bermak
dc.contributor.author Wang, Yan
dc.contributor.author Dominique, Martinez
dc.date.accessioned 2010-08-20T03:31:05Z
dc.date.available 2010-08-20T03:31:05Z
dc.date.copyright 2007
dc.date.issued 2010-08-20T03:31:05Z
dc.identifier.citation Chen, S., Amine, B., Wang, Y., & Dominique, M. (2007). Adaptive-quantization digital image sensor for low-power image compression. IEEE Transactions on Circuits and Systems Part 1 Regular Papers. 54(1), 13-25.
dc.identifier.issn 1549-8328
dc.identifier.uri http://hdl.handle.net/10220/6330
dc.description.abstract 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.
dc.format.extent 13 p.
dc.language.iso en
dc.relation.ispartofseries IEEE transactions on circuits and systems part 1 regular papers
dc.rights © 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.
dc.subject DRNTU::Engineering::Electrical and electronic engineering::Electronic systems.
dc.title Adaptive-quantization digital image sensor for low-power image compression
dc.type Journal Article
dc.contributor.school School of Electrical and Electronic Engineering
dc.identifier.doi http://dx.doi.org/10.1109/TCSI.2006.887460
dc.description.version Published version

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