Low-complexity low-memory energy-efficient image coding for wireless image sensor networks

References

• Akyildiz I, Melodia T, Chowdury K. Wireless multimedia sensor networks: a survey. IEEE Wireless Commun. 2007;14(6):32–39. doi: 10.1109/MWC.2007.4407225
   Web of Science ®Google Scholar
• Mammeri A, Hadjou B, Khoumsi A. A survey of image compression algorithms for visual sensor networks. ISRN Sensor Netw. 2012;2012:1–19. doi: 10.5402/2012/760320
   Google Scholar
• ZainEldin H, Elhosseini MA, Ali HA. Image compression algorithms in wireless multimedia sensor networks: a survey. Ain Shams Eng J. 2015 Jun 30;6(2):481–490. doi: 10.1016/j.asej.2014.11.001
   Web of Science ®Google Scholar
• Karl H, Willig A. Protocols and architectures for wireless sensor networks: Chichester: John Wiley & Sons; 2007.
   Google Scholar
• Pennebaker WB, Mitchell JL. JPEG: still image data compression standard. ETH Zurich: Springer Science & Business Media; 1992.
   Google Scholar
• Taubman D, Marcellin M. JPEG2000 image compression fundamentals, standards and practice: image compression fundamentals, standards and practice: New York: Springer Science & Business Media; 2012.
   Google Scholar
• Ur Rehman YA, Tariq M, Sato T. A novel energy efficient object detection and image transmission approach for wireless multimedia sensor networks. IEEE Sens J. 2016;16(15):5942–5949. doi: 10.1109/JSEN.2016.2574989
   Web of Science ®Google Scholar
• Lee D-U, Kim H, Rahimi M, et al. Energy efficient image compression for resource-constrained platforms. IEEE Trans Image Process. 2009;18:2100–2113. doi: 10.1109/TIP.2009.2022438
   PubMed Web of Science ®Google Scholar
• Loeffler C, Ligtenberg A, Moschytz G. Practical fast 1-D DCT algorithms with 11 multiplications. Proc IEEE Int Conf Acoustics Speech Signal Processing; Glasgow, UK; 1989. p. 988–991.
   Google Scholar
• Rao K, Yip P. Discrete cosine transform-algorithms, advantages, applications. NewYork, NY: Academic; 1990.
   Google Scholar
• Lecuire V, Makkaoui L, Moureaux JM. Fast zonal DCT for energy conservation in wireless image sensor networks. Electron Lett. 2012;48(2):125–127. doi: 10.1049/el.2011.2392
   Web of Science ®Google Scholar
• Nasri M, Helali A, Sghaier H, et al. Adaptive image compression technique for wireless sensor networks. Comput Electr Eng. 2011;37(5):798–810. doi: 10.1016/j.compeleceng.2011.08.001
   Web of Science ®Google Scholar
• Rein S, Reisslein M. Low-memory wavelet transforms for wireless sensor networks: a tutorial. IEEE Commun Surveys Tutorials. 2011;13(2):291–307. doi: 10.1109/SURV.2011.100110.00059
   Web of Science ®Google Scholar
• Rein S, Reisslein M. Scalable line-based wavelet image coding in wireless sensor networks. J Vis Commun Image Represent. 2016;40:418–431. doi: 10.1016/j.jvcir.2016.07.006
   Web of Science ®Google Scholar
• Duran-Faundez C, Lecuire V, Lepage F. Tiny block-size coding for energy-efficient image compression and communication in wireless camera sensor networks. Signal Process Image Commun. 2011;26(8):466–481. doi: 10.1016/j.image.2011.07.005
   Web of Science ®Google Scholar
• Pham C, Vincent L. Building low-cost wireless image sensor networks: from single camera to multi-camera system. Proceedings of the 9th International Conference on Distributed Smart Cameras; Seveille: ACM; 2015. p. 158–163.
   Google Scholar
• Phamila YAV, Amutha R. Low-complex energy-aware image communication in visual sensor networks. J Electron Imaging. 2013;22(4):041107–041107. doi: 10.1117/1.JEI.22.4.041107
   Web of Science ®Google Scholar
• Tausif M, Kidwai NR, Khan E, et al. FrWF-based LMBTC: memory-efficient image coding for visual sensors. IEEE Sens J. 2015;15(11):6218–6228. doi: 10.1109/JSEN.2015.2456332
   Web of Science ®Google Scholar
• Zhao D, Chan YK, Gao W. Low-complexity and low-memory entropy coder for image compression. IEEE Trans Cir and Syst Video Techn. 2001;11(10):1140–1145.
   Google Scholar
• Tran TD. The BinDCT: fast multiplier less approximation of the DCT. IEEE Signal Process Lett. 2000;7(6):141–144. doi: 10.1109/97.844633
   Web of Science ®Google Scholar
• Kominek JWBZ. University of Waterloo. 1995. [cited 2015 Aug 7]; Available from: http://links.uwaterloo.ca/Repository.html
   Google Scholar
• Available from: https://www.eol.ucar.edu/isf/facilities/isa/internal/CrossBow/DataSheets/mica2.pdf
   Google Scholar
• Teng G, Zheng K, Dong W. A survey of available tools for developing wireless sensor networks. InSystems and Networks Communications, 2008. ICSNC'08 3rd International Conference on; 2008 Oct 26; Sliema: IEEE. p. 139–144.
   Google Scholar
• Heinzelman WB, Chandrakasan AP, Balakrishnan H. An application-specific protocol architecture for wireless microsensor networks. IEEE Trans Wireless Commun. 2002;1(4):660–670. doi: 10.1109/TWC.2002.804190
   Web of Science ®Google Scholar