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Image Super Resolution Enhancement Based on Interpolation of Discrete and Stationary Wavelet Domain

Author : R.Rajeswari and S.Balamurugan
Volume 1 No.1 January-June 2012 pp 60-64

Abstract

In this paper, we propose an image super resolution enhancement technique based on interpolation of the high frequency sub band images obtained by discrete wavelet transform (DWT) using different types of wavelets such as Daubechies 1. Daubechies 2 .., Daubechies 9 haar, and the input image. The edges are enhanced by introducing an intermediate stage by using stationary wavelet transform (SWT). We compare the results of different types of wavelets. DWT is applied in order to decompose an input image into different sub bands. Then the high frequency sub bands as well as the input image are interpolated. The estimated high frequency sub bands are being modified by using high frequency sub bands obtained through SWT then all these sub bands are combined to generate a new super-resolved image by using inverse DWT.

Keywords

Discrete Wavelet Transform, Image super resolution, Stationary Wavelet Transform

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