Effective compressed image transmission through context aware wireless networks

The main aim of image compression is to transmit the images to distinct regions with reduced image quality degradation over a network environment. In this research, even though highly efficient image compression schemes are presented with high feasibility and low cost, the basic motive cannot be overwhelmed. Hence, the strong reason for image compression is the transmission of images without or with acceptable quality degradation. The images are effectively encoded and compressed using MHPCA, MHPBLI and CDAQ schemes. Then the images are effectively transmitted to the destination. In order to provide effective transmission, in this work, the compression schemes are selected adaptively based on the different wireless networks employed. The wireless networks namely UMTS, IEEE 802.11e and WiMAX are used for transmission. The adaptive compression indicates the efficiency of the platform in the context of both the data compression with an acceptable quality degradation and proper data transmission over the wireless network. The experimental result shows that the WiMAX network gives better performance than the other two networks considered.

[1]  Swades De,et al.  Error-resilient image transmission over multihop wireless networks , 2011, 2011 Third International Conference on Communication Systems and Networks (COMSNETS 2011).

[2]  Nam Ik Cho,et al.  Hierarchical Prediction and Context Adaptive Coding for Lossless Color Image Compression , 2014, IEEE Transactions on Image Processing.

[3]  S. Sathappan,et al.  A new model for color image compression using modified hierarchical prediction , 2015, 2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT).

[4]  Paul D. Amer,et al.  Network-conscious GIF image transmission over the Internet , 1999, Comput. Networks.

[6]  Danchi Jiang,et al.  Optimum bit rate for image transmission over underwater acoustic channel , 2014 .

[7]  Ilias Maglogiannis,et al.  Adaptive Transmission of Medical Image and Video Using Scalable Coding and Context-Aware Wireless Medical Networks , 2008, EURASIP J. Wirel. Commun. Netw..

[8]  N. Kumar,et al.  Data Transmission Using Efficient FEC over CDMA Channel , 2014 .

[9]  Enrico Magli,et al.  Ensuring quality of service for image transmission: hybrid loss protection , 2004, IEEE Transactions on Image Processing.

[10]  Paul D. Amer,et al.  Network-conscious compressed image transmission over battlefield networks , 1998, IEEE Military Communications Conference. Proceedings. MILCOM 98 (Cat. No.98CH36201).