Low power hardware-based image compression solution for wireless camera sensor networks
Tóm tắt
Từ khóa
Tài liệu tham khảo
Culurciello, 2006, CMOS image sensors for sensor networks, Analog Integrated Circuits and Signal Processing, 49, 39, 10.1007/s10470-006-8737-x
Akyildiz, 2007, A survey on wireless multimedia sensor networks, vol. 51, no. 4, 921
charfi, 2009, Challenging issues in visual sensor networks, IEEE Wireless Communications, 16, 44, 10.1109/MWC.2009.4907559
Lu, 2008, Low complexity and energy efficient image compression scheme for wireless sensor networks, Elsevier, Computer Networks, 52, 2594, 10.1016/j.comnet.2008.05.006
Soro, 2009, A survey of visual sensor networks
Rahimi, 2005, Cyclops: in situ image sensing and interpretation in wireless sensor networks, 192
Rowe, 2007, CMUcam3: an open programmable embedded vision sensor
Duran-Faundez, 2008, Error resilient image communication with chaotic pixel interleaving for wireless camera sensors
Sadler, 2006, Data compression algorithms for energy-constrained devices in delay tolerant networks
Ferrigno, 2005, Balancing computational and transmission power consumption in wireless image sensor networks
Benini, 2002, Hardware-assisted data compression for energy minimization in systems with embedded processors
Chrysos, 2009, Heavily reducing WSNs’ energy consumption by employing hardware-based compression, 312
Yu, 2004, Energy efficient JPEG 2000 image transmission over wireless sensor networks
Lecuire, 2007, Energy-efficient transmission of wavelet-based images in wireless sensor networks, EURASIP J. Image Video Process, 2007, 10.1186/1687-5281-2007-047345
Wu, 2006, Error resilient image transport in wireless sensor networks, Computer Network, 50, 2873, 10.1016/j.comnet.2005.09.039
Makkaoui, 2010, Fast zonal DCT-based image compression for wireless camera sensor networks
Panigrahi, 2002, A hardware/software reconfigurable architecture for adaptative wireless image communication
Osman, 2007, JPEG encoder for low-cost FPGAs
Volcan Agostini, 2007, Multiplierless and fully pipelined JPEG compression soft IP targeting FPGAs, 31, 487
Mallireddy, 2010, Run time compression of image data in wireless sensor networks
Papadonikolakis, 2008, Efficient high-performance implementation of JPEG-LS encoder, J Real-Time Image Proc, 3, 303, 10.1007/s11554-008-0088-7
Zhou, 2010, A VLSI design of sensor node for wireless image sensor network
Loeffler, 1989, Practical fast 1-D DCT algorithms with 11 multiplications
Liang, 2001, Fast multiplierless approximations of the DCT with the lifting scheme, IEEE Trans. on Signal Processing, 49, 3032, 10.1109/78.969511
Jeong, 2004, Correlation low-power multiplierless DCT architecture using image, IEEE Trans. on Consumer Electronics, 50, 262, 10.1109/TCE.2004.1277872
Heyne, 2006, A computationally efficient high-quality cordic based DCT
Heyne, 2007, A low-power and high-quality implementation of the discrete cosine, Advances in Radio Science, 5, 305, 10.5194/ars-5-305-2007
International Organization for Standardization. IUT-T Recommendation T.81, in: ISO/IEC IS 10918–1, http://www.jpeg.org/jpeg/.
H'ng, 2008, Golomb coding implementation in FPGA, ELEKTRIKA, 10, 36
Howard, 1992, Practical implementations of arithmetic coding, 85
Hsien, 2003, A JPEG chip for image compression and decompression, Journal of VLSI Signal Processing, 35, 43, 10.1023/A:1023383820503
Seroussi, 1997, On adaptive strategies for an extended family of Golomb-type codes, 131
Golomb, 1966, Run-length encodings, IEEE Trans. Inform. Theory, IT-12, 399, 10.1109/TIT.1966.1053907
Voyatzis, 1996, Chaotic mixing of digital images and applications to watermarking, volume 2, 687
Amara, 2006, FPGA Vs ASIC for low power applications, Elsevier, Microelectronics Journal, 37, 669, 10.1016/j.mejo.2005.11.003
Agostini, 2005, A FPGA based design of a multiplierless and fully pipelined JPEG compressor, 210
Lin, 2006, An ultra low power image compressor for capsule endoscope, Biomedical Engineering Online, 5, 14, 10.1186/1475-925X-5-14
C. Duran-Faundez, “Transmission d'images sur les réseaux de capteurs sans fil sous la contrainte de l'énergie,” thèse, Université Henri Poincaré, Centre de Recherche en Automatique de Nancy, (juin 2009) 129–132.
Crossbow Technology Inc.