International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 6, No. 6, 8 May 2014
Cover page and Table of Contents: PDF (size: 1172KB)
Remote Sensing Image Resolution Enlargement Algorithm Based on Wavelet Transformation
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Author(s)
Index Terms
Image resolution, stationary wavelet transformation, cycle spinning, wavelet zero padding
Abstract
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
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