Image compression algorithms in wireless multimedia sensor networks: A survey

Abstract Unlike classical wired networks and wireless sensor networks, WMSN differs from their predecessor’s scalar network basically in the following points; nature and size of data being transmitted, important memory resources, as well as, power consumed per each node for processing and transmission. The most effective solution to overcome those problems is image compression. As the image contains massive amount of redundancies resulting from high correlation between pixels, many compression algorithms have been developed. The main objective of this survey was to study and analyze relevant research directions and the most recent algorithms of image compression over WMSN. This survey characterizes the benefits and shortcomings of recent efforts of such algorithms. Moreover, it provides an open research issue for each compression method; and its potentials to WMSN. Reducing consumed power thus granting long life time is considered the main performance metric and will be the main target in the investigated solution.

[1]  M. B. I. Reaz,et al.  A modified-set partitioning in hierarchical trees algorithm for real-time image compression , 2008 .

[2]  Li-Minn Ang,et al.  Survey of image compression algorithms in wireless sensor networks , 2008, 2008 International Symposium on Information Technology.

[3]  Abdelhamid Helali,et al.  Adaptive image compression technique for wireless sensor networks , 2011, Comput. Electr. Eng..

[4]  Jerome M. Shapiro,et al.  Embedded image coding using zerotrees of wavelet coefficients , 1993, IEEE Trans. Signal Process..

[5]  Kah Phooi Seng,et al.  Multiview Image Compression for Wireless Multimedia Sensor Network Using Image Stitching and SPIHT Coding with EZW Tree Structure , 2009, 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics.

[6]  David S. Taubman,et al.  High performance scalable image compression with EBCOT , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[7]  Masahiro Iwahashi,et al.  Pre-post quantisation and integer wavelet for image compression , 2003 .

[8]  Kah Phooi Seng,et al.  Survey of image compression algorithms in wireless sensor networks , 2008 .

[9]  Hamid Sharif,et al.  A Survey of Energy-Efficient Compression and Communication Techniques for Multimedia in Resource Constrained Systems , 2013, IEEE Communications Surveys & Tutorials.

[10]  Jean-Marie Moureaux,et al.  FPGA-based image compression for low-power Wireless Camera Sensor Networks , 2011, 2011 3rd International Conference on Next Generation Networks and Services (NGNS).

[11]  Gregory K. Wallace,et al.  The JPEG still picture compression standard , 1992 .

[12]  G. E. Ponchak,et al.  High temperature, wireless seismometer sensor for Venus , 2012, 2012 IEEE Topical Conference on Wireless Sensors and Sensor Networks.

[13]  Hardeep Singh Samra Image Compression Techniques , 2012, BIOINFORMATICS 2012.

[14]  Mahmood Fathy,et al.  A Two Level Architecture for High Throughput DCT-Processor and Implementing on FPGA , 2010, 2010 International Conference on Reconfigurable Computing and FPGAs.

[15]  Sujit Dey,et al.  Design of an Adaptive Architecture for Energy Efficient Wireless Image Communication , 2002, Embedded Processor Design Challenges.

[16]  Hui Zhang,et al.  Real-time implementation of a new low-memory SPIHT image coding algorithm using DSP chip , 2002, IEEE Trans. Image Process..

[17]  Manoj Alwani,et al.  A survey on lossless image compression methods , 2010, 2010 2nd International Conference on Computer Engineering and Technology.

[18]  Zhao Jinchuang,et al.  Research of image compression based on Wireless visual sensor networks , 2009, 2009 4th International Conference on Computer Science & Education.

[19]  Abhishek Kumar,et al.  Performance evaluation of image compression techniques , 2012, 2012 International Conference on Devices, Circuits and Systems (ICDCS).

[20]  Mohamed Abid,et al.  Images compression in WSN: Performance analysis , 2012, 2012 IEEE 14th International Conference on Communication Technology.

[21]  M. F. M. Salleh,et al.  The most proper wavelet filters in low-complexity and an embedded hierarchical image compression structures for wireless sensor network implementation requirements , 2012, 2012 IEEE International Conference on Control System, Computing and Engineering.

[22]  Jing Wang,et al.  Research on image compression and transmission mechanism for wireless multimedia sensor networks , 2011, 2011 International Conference on Electrical and Control Engineering.

[23]  William A. Pearlman,et al.  A new, fast, and efficient image codec based on set partitioning in hierarchical trees , 1996, IEEE Trans. Circuits Syst. Video Technol..

[24]  Syed Mahfuzul Aziz,et al.  FPGA-Based Image Processor Architecture for Wireless Multimedia Sensor Network , 2011, 2011 IFIP 9th International Conference on Embedded and Ubiquitous Computing.

[25]  D. Baez-Lopez,et al.  Comparison of lossless compression techniques , 1993, Proceedings of 36th Midwest Symposium on Circuits and Systems.

[26]  Hamid Sharif,et al.  Low-complexity image coder/decoder with an approaching-entropy quad-tree search code for embedded computing platforms , 2011, 2011 18th IEEE International Conference on Image Processing.

[27]  Ahmed Khoumsi,et al.  A Survey of Image Compression Algorithms for Visual Sensor Networks , 2012 .

[28]  Ian F. Akyildiz,et al.  A survey on wireless multimedia sensor networks , 2007, Comput. Networks.

[29]  Abdelhamid Helali,et al.  Energy-efficient wavelet image compression in Wireless Sensor Network , 2010, 2010 International Conference on Wireless and Ubiquitous Systems.

[30]  Mohamed Abid,et al.  Experimental study of compressed images transmission through WSN , 2011, ICM 2011 Proceeding.

[31]  D. J. Jackson,et al.  Comparative analysis of image compression techniques , 1993, 1993 (25th) Southeastern Symposium on System Theory.

[32]  Ming Yang,et al.  An overview of lossless digital image compression techniques , 2005, 48th Midwest Symposium on Circuits and Systems, 2005..

[33]  Abdelhamid Helali,et al.  Energy conservation for image transmission over wireless sensor networks , 2011, ICM 2011 Proceeding.

[34]  Wei Zheng,et al.  Research in a fast DCT algorithm based on JPEG , 2011, 2011 International Conference on Consumer Electronics, Communications and Networks (CECNet).