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Image processing / ISO standards / Electronics / Digital signal processing / Data compression / JPEG / Discrete cosine transform / Quantization / Image compression / Graphics file formats / Computing / Signal processing


Energy-Optimized Image Communication on Resource-Constrained Sensor Platforms Dong-U Lee 1 , Hyungjin Kim 1,2 , Steven Tu 1 , Mohammad Rahimi 2 Deborah Estrin 1,3 , and John D. Villasenor 1 2
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Document Date: 2008-03-03 13:34:31

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File Size: 351,22 KB

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City

Cambridge / IMPA / /

Company

Atmel / Analog Devices / Independent JPEG Group / Embedded Networked Sensor Systems / /

Country

United States / Brazil / /

Currency

USD / /

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Facility

University of Waterloo / University of California / /

IndustryTerm

integers using processors / compression algorithm / sensor network applications / optimization algorithm / times less energy efficient / energy consumption tradeoffs / energy-efficient image transmission / overall energy consumption / energy improvements / energy values / delay tolerant networks / wireless sensor networks / platform-targeted software / Transmission energy / energy efficient / energy advantage / wireless networks / lowest power processors / energy savings / wireless multimedia communication / intermediate solution / energy results / energy / energy costs / target processor / energy-constrained platforms / energy consumption / energy consumption constraints / sensor networks / significant energy benefits / energy cost / energy tradeoffs / energy-aware approach ensuring / Energy-aware data compression / energy requirements / multi-hop wireless sensor network / optimization tool / software programs / energy standpoint / less energy / n-bit processor / energy-constrained devices / energy-efficient / ultra-low power wireless research / compression algorithms / software libraries / lossless data compression algorithms / overall energy utilization / wireless transmission / energy efficiency compression offers significant benefits / specific energy tradeoffs / higher energy costs / xed-point processors / /

Organization

National Science Foundation / University of Waterloo / Computer Science Department / University of California / Los Angeles Center for Embedded Networked Sensing / University of California / Los Angeles / Electrical Engineering Department / /

Person

W. Luk / R. Cheung / G. Constantinides / Note / O. Mencer / David Choi / D. Lee / A. Abdul Gaffar / John D. Villasenor / Steven Tu / Mohammad Rahimi / /

Position

TI Code Composer / Engineer To Engineer Note / General / Engineer / /

Product

Cowon D2+ Portable Audio Device / /

ProgrammingLanguage

R / C / /

ProvinceOrState

Massachusetts / /

PublishedMedium

Communications of the ACM / /

Technology

image compression / MSP430F1611 processor / JPEG / Mote Mica2 MicaZ Telos Processor / two processors / JPEG algorithm / JPEG compression algorithm / implementing compression algorithms / 38.4 250 250 Processor / mobile phones / particular DCT algorithm / xed-point processors / StrongARM SA-1000 processor / lowest power processors / Image Processing / Integrated Circuits / optimization algorithm / Voltage Processor / 8 DCT algorithms / LLM algorithm / target processor / n-bit processor / Blackfin ADSPBF533 processors / Data compression algorithms / lossless data compression algorithms / ATmega128 processor / 1-D DCT algorithms / 8-bit processors / integers using processors / /

URL

http /

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