Satellite Image Resolution Enhancement based on Dual-Domain Filtering

  • Authors

    • K Rasool Reddy
    • Dr K.NagaPrakash
    • Dr K.Prasanthi Jasmime
    • M Tulasidas
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.10864
  • DWT, Interpolation, NLM Filter, Resolution and SWT.

  • Satellite images place vital role in agriculture, Disaster mitigation and geosciences applications. Satellite images include both spatial and temporal resolution, in that spatial resolution is influence the accuracy of ground objects. The main idea of this work is to enhance the resolution of satellite images. In this work, a dual domain filtering based approach is introduced for resolution enhancement (RE). Initially, the source image is subdivided into approximation and detail coefficients by Stationary Wavelet transform (SWT). The detail coefficients are interpolated based on bi-linear interpolation. The interpolated detail coefficients are applied to Non-Local Means (NLM) filter to minimize the artifacts produced by SWT. The filtered detail and approximation coefficients of source image are fed to ISWT to attain high resolution (HR) image. The proposed system is superior to other existing strategies like DWT-NLM and DWT-SWT.

     

  • References

    1. [1] Yinji Piao , ll-hong Shin, Hyun Wook Park, “Image Resolution Enhancement using Inter-Subband Correlation in Wavelet Domainâ€, ICIP 2007, pp. I-445–I-448.

      [2] P. Karunakar,V. Praveen and O. Ravi Kumar “DWT-based satellite image resolution enhancement,†Advance in Electronic and Electric Engineering. ISSN 2231-1297, Volume 3, Number 4 (2013), pp. 405-412

      [3] Hasan Demirel and Gholamreza Anbarjafar “IMAGE Resolution Enhancement by Using Discrete and Stationary Wavelet Decomposition,†IEEE Transactions on Image Processing, Vol. 20, No. 5, May 2011

      [4] Hasan Demirel and Gholamreza Anbarjafari, “Satellite Image Resolution Enhancement Using Complex Wavelet Transform†IEEE Geoscience and Remote Sensing Letters, Vol. 7, No. 1, January 2010

      [5] Alptekin Temizel and Theo Vlachos, “Wavelet domain image resolution enhancement using cycle-spinningâ€, Electronics Letters, vol. 41, no. 3, pp. 119–121, February 2005.

      [6] Alptekin Temizel and Theo Vlachos, “Image resolution upscaling in the wavelet domain using directional cycle spinning,†Vol. 14(4), pp: 040501-1, Oct–Dec 2005

      [7] Gholamreza Anbarjafari and Hasan Demirel,“ Image Super Resolution Based on Interpolation of Wavelet Domain High Frequency Subbands and the Spatial Domain Input Imageâ€,†ETRI Journal Volume 32, Issue 3, pp.390–394, June 2010.

      [8] O. Srinu, N.V. Apparao, and K. Rasool Reddy, “A New Approach of Modified ROI-Based Lossy and Lossless Image Compression for Telemedicine Applicationsâ€, CiiT Digital image processing, Vol. 8, No 8. Aug. 2016

      [9] Zhou Wang, Alan C. Bovik, Hamid R. Sheikh, and Eero P. Simoncelli “Image Quality Assessment: From Error Visibility to Structural Similarityâ€, IEEE Transactions on Image Processing, Vol. 13, No. 4, April 2004

      [10] Hamid R. Sheikh and Alan C. Bovik, “Image Information And Visual Quality,†ICASSP, pp. III-709-III-712, May 2004

      [11] Kamireddy R.R., Punem S., Jangala S., Chamarthi G.R.D., Srinivas K.Y. “Objective Quality Assessments of Restoration Images†Proceedings of International Conference on Communication and Networks. Advances in Intelligent Systems and Computing, vol 508. pp 255-268, Feb 2016.

      [12] Lin Zhanga , Lei Zhanga , and Xuanqin Mou, “RFSIM: A Feature Based Image Quality Assessment Metric Using Riesz Transforms†IEEE International Conference on Image Processing, pp. 321-324, September 2010

      [13] http://sse.tongji.edu.cn/linzhang/IQA/IQA.html

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  • How to Cite

    Rasool Reddy, K., K.NagaPrakash, D., K.Prasanthi Jasmime, D., & Tulasidas, M. (2018). Satellite Image Resolution Enhancement based on Dual-Domain Filtering. International Journal of Engineering & Technology, 7(2.7), 466-469. https://doi.org/10.14419/ijet.v7i2.7.10864