Discrete and Stationary Wavelet Decomposition for IMAGE Resolution Enhancement

B Siva Kumar; S Nagaraj

doi:https://doi.org/10.14445/22315381/IJETT-V4I7P123

Research Article | Open Access | Download PDF

Volume 4 | Issue 7 | Year 2013 | Article Id. IJETT-V4I7P123 | DOI : https://doi.org/10.14445/22315381/IJETT-V4I7P123

Discrete and Stationary Wavelet Decomposition for IMAGE Resolution Enhancement

B Siva Kumar , S Nagaraj

Citation :

B Siva Kumar , S Nagaraj, "Discrete and Stationary Wavelet Decomposition for IMAGE Resolution Enhancement," International Journal of Engineering Trends and Technology (IJETT), vol. 4, no. 7, pp. 2885-2889, 2013. Crossref, https://doi.org/10.14445/22315381/IJETT-V4I7P123

Abstract

An image resolution enhancement technique based on interpolation of the high frequency subband images obtained by discrete wavelet transform (DWT) and the input image. The edges are enhanced by introducing an intermediate stage by using stationary wavelet transform (SWT). DWT is applied in order to decompose an input image into different subbands. Then the high frequency subbands as well as the input image are interpolated. The estimated high frequency subbands are being modified by using high frequency subband obtained throug h SWT. Then all these subbands are combined to generate a new high resolution image by using inverse DWT (IDWT). The quantitative and visual results are showing the superiority of the proposed technique over the conventional and state - of - art image resoluti on enhancement techniques.

Keywords

Discrete wavelet transform, image super resolution, stationary wavelet transform.

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