Remote Sensing Image Resolution Enlargement Algorithm Based on Wavelet Transformation

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Samiul Azam 1,* Fatema Tuz Zohra 1 Md. Monirul Islam 1

1. Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh

* Corresponding author.


Received: 5 Feb. 2014 / Revised: 5 Mar. 2014 / Accepted: 10 Apr. 2014 / Published: 8 May 2014

Index Terms

Image resolution, stationary wavelet transformation, cycle spinning, wavelet zero padding


In this paper, we present a new image resolution enhancement algorithm based on cycle spinning and stationary wavelet subband padding. The proposed technique or algorithm uses stationary wavelet transformation (SWT) to decompose the low resolution (LR) image into frequency subbands. All these frequency subbands are interpolated using either bicubic or lanczos interpolation, and these interpolated subbands are put into inverse SWT process for generating intermediate high resolution (HR) image. Finally, cycle spinning (CS) is applied on this intermediate high resolution image for reducing blocking artifacts, followed by, traditional Laplacian sharpening filter is used to make the generated high resolution image sharper. This new technique has been tested on several satellite images. Experimental result shows that the proposed technique outperforms the conventional and the state-of-the-art techniques in terms of peak signal to noise ratio, root mean square error, entropy, as well as, visual perspective.

Cite This Paper

Samiul Azam, Fatema Tuz Zohra, Md Monirul Islam,"Remote Sensing Image Resolution Enlargement Algorithm Based on Wavelet Transformation", IJIGSP, vol.6, no.6, pp.19-26, 2014. DOI: 10.5815/ijigsp.2014.06.03


[1]R. C. Gonzalez and R. E. Woods, Digital image processing: 3rd edition, Englewood Cliffs, NJ: Prentice-Hall, 2008.

[2]T. Acharya and P. S. Tsai, "Computational foundation of image interpolation algorithms," ACM Ubiquity, 8, 2007, pp. 121-137.

[3]W. K. Carey, D. B. Chuang and S. S. Hemami, "Regularity preserving image interpolation," IEEE Trans. on Image Proc., Vol. 8, No. 9, Sep. 1999, pp. 1295–1297.

[4]X. Li and M.T. Orchard, "New edge-directed Interpolation," IEEE Trans. on Image Proc., Vol. 10, No.10, Oct. 2001, pp. 1521-1527.

[5]W. K. Carey, D. B. Chuang and S. S. Hemami, "Regularity-preserving image interpolation," IEEE Trans. on Image Proc., Vol. 8, No. 9, Sep. 1999, pp. 1295–1297.

[6]S. Zhao, H. Han and S. Peng, "Wavelet Domain HMT-Based Image Superresolution," IEEE International Conf. on Image Proc., Vol. 2, Sep. 2003, pp. 933-936.

[7]A. Temizel and T. Vlachos, "Wavelet Domain Image Resolution Enhancement Using Cycle-Spinning", IEE Elec. Letters, vol. 41, no. 3, Feb. 2005, pp-119-121.

[8]G. Anbarjafari and H. Demirel, "Image super-resolution based on interpolation of wavelet domain high frequency subbands and the spatial domain input image," ETRI journal, Vol. 32, No. 3, Jan 2010, pp. 390-394.

[9]A. Daamouche and F. Melgani, "Swarm Intelligence Approach to Wavelet Design for Hyperspectral Image Classification," IEEE Geo. and Remote Sensing Letters, Vol. 6, No. 4, Oct. 2009, pp. 825-829.

[10]H. Demirel, C. Ozcinar, and G. Anbarjafari, "Satellite Image Contrast Enhancement Using Discrete Wavelet Transform and Singular Value Decomposition," IEEE Geo. and Remote Sensing Letters, Vol. 7, No. 2, Apr. 2010, pp. 333-337.

[11]B. Li, R. Yang and H. Jiang, "Remote-Sensing Image Compression Using Two-Dimensional Oriented Wavelet Transform," IEEE Geo. and Remote Sensing Letters, Vol. 49, No. 1, Jan. 2011, pp. 236-240.

[12]I.B. Hacene, M. Beladgem and A. Bessaid, "Lossy Compression Color Medical Image Using CDF Wavelet Lifting Scheme," IJIGSP, MECS publisher, Vol. 5, No. 12, Sep. 2013, pp. 53-60.

[13]M. M. Fouad and R. M. Dansereau, "Lossless Image Compression Using A Simplified MED Algorithm with Integer Wavelet Transform," IJIGSP, MECS publisher, Vol. 6, No. 01, Nov. 2013, pp. 18-23.

[14]E. J. Balster, Y. F. Zheng and R. L. Ewing, "Feature-Based Wavelet Shrinkage Algorithm for Image Denoising," IEEE Tran. on Image Proc., Vol. 14, No. 12, Dec. 2005, pp. 1024-1039.

[15]S. D. Ruikar and D. D. Roye, "Image Denoising Using Tri Nonlinear and Nearest Neighbor Interpolation with Wavelet Transform," IJITCS, MECS publisher, Vol. 4, No. 09, Aug. 2012, pp. 36-44.

[16]Internet: http:\\\gallery.html, [Oct. 07, 2013].