Image Super Resolution Using Wavelet Analysis
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 9
Abstract
The aim of image resolution enhancement is to process a given input low resolution image to make the result more desirable than the original image for a given specific application. In the work, we have proposed an image resolution enhancement technique that generates sharper and high resolution output image. The proposed technique utilizes DWT for decomposing low resolution image in separate sub-bands. Then the above three higher frequency band images are interpolated by the utilization of bi-cubic interpolation. This higher frequency bands generated by stationary wavelet transform of the given input image are then increased into the interpolated higher frequency bands in order to correct the coefficients. The given input image is interpolated in parallel. At last, correctly estimated interpolated higher frequency bands and interpolated input image are mixed by utilizing inverse DWT (IDWT) for getting enhanced output image. After that there is a comparison between the conventional techniques for image enhancement and state-of-the-art image enhancement techniques. One level DWT having Daubechies 9/7 as the wavelet function is utilized to decompose given input image into separate band images. The three higher frequency bands (L-H, H-L, and H-H) has the higher frequency contents of the given input image. In this pro-posed method, bicubic interpolation which has increment factor as ‘2’ is then given to higher frequency band images. Due to application of down-sampling in each of the DWT bands there is loss of information in the respective given sub-bands. Hence, SWT is utilized to reduce the losses.
Authors and Affiliations
Radhika S. Karpe, Prof. D. D. Ahire
Keywords
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