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Journal of Applied Sciences

Year: 2013 | Volume: 13 | Issue: 18 | Page No.: 3766-3769
DOI: 10.3923/jas.2013.3766.3769
A Weighted ROI-based Image Quality Assessment for WMSN
Zheyuan Xiong, Jiangshan Zhang, Shengyi Wu, Liang Zhang and Min Tu

Abstract: The major task of WMSN is image communication, which is really a challenge for resource constraint wireless sensors. WMSN should monitor the image distortion by image quality assessment (IQA) to take some adaptive precautions and thus guarantee application quality requirements. Most applications of WMSN require reliable transmission of Region of interest (ROI) in the image. However, little study has been taken on identifying how and to what extent ROI will influence IQA in WMSN. In this work, a simple method is proposed to estimate an image quality by considering the ROI of the image. Different weights are assigned to the primary ROI, secondary ROI and Non ROI parts of the image in the quality evaluation phase. The simulation results have shown that the proposed IQA has better performance than state-of-the-art IQA methods for WMSN.

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How to cite this article
Zheyuan Xiong, Jiangshan Zhang, Shengyi Wu, Liang Zhang and Min Tu, 2013. A Weighted ROI-based Image Quality Assessment for WMSN. Journal of Applied Sciences, 13: 3766-3769.

Keywords: Image quality assessment, region of interest, weighted PSNR and wireless multimedia sensor networks

REFERENCES

  • Moorthy, A.K. and A.C. Bovik, 2011. Blind image quality assessment: From natural scene statistics to perceptual quality. IEEE Trans. Image Proces., 20: 3350-3364.
    CrossRef    


  • Sheikh, H.R., A.C. Bovik and G. de Veciana, 2005. An information fidelity criterion for image quality assessment using natural scene statistics. IEEE Trans. Image Process., 14: 2117-2128.
    CrossRef    


  • Sheikh, H.R. and A.C. Bovik, 2006. Image information and visual quality. IEEE Trans. Image Proc., 15: 430-444.
    CrossRef    Direct Link    


  • Zhang, L., D. Zhang, X. Mou and D. Zhang, 2011. FSIM: A feature similarity index for image quality assessment. IEEE Trans. Image Process., 20: 2378-2386.
    CrossRef    


  • Pudlewski, S. and T. Melodia, 2010. A distortion-minimizing rate controller for wireless multimedia sensor networks. Comput. Commun., 33: 1380-1390.
    CrossRef    


  • He, Z., W. Cheng and X. Chen, 2008. Energy minimization of portable video communication devices based on power-rate-distortion optimization. IEEE Trans. Circuits Syst. Video Technol., 18: 596-608.
    CrossRef    Direct Link    


  • Sun, Z., X. Chen and Z. He, 2010. Adaptive critic design for energy minimization of portable video communication devices. IEEE Trans. Circuits Syst. Video Technol., 20: 27-37.
    CrossRef    Direct Link    


  • Wang, Z., A.C. Bovik, H.R. Sheikh and E.P. Simoncelli, 2004. Image quality assessment: From error visibility to structural similarity. IEEE Trans. Image Process., 13: 600-612.
    CrossRef    Direct Link    


  • Wang, Z., E.P. Simoncelli and A.C. Bovik, 2003. Multi-scale structural similarity for image quality assessment. Proceedings of the 37th Asilomar Conference Signals, Systems and Computers, Volume 2, November 9-12, 2003, California, USA., pp: 1398-1402.


  • Xiong, Z., X. Fan, S. Liu, Y. Li and Z. Huan, 2013. Performance analysis for DCT-based coded image communication in wireless multimedia sensor networks. Int. J. Smart Sensing Intell. Syst., 6: 120-135.
    Direct Link    

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