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Paper Title : Wavelet Based Various Interpolation Techniques for High Resolution Image Enhancement Processing

ISSN : 2395-1303
Year of Publication : 2020
10.29126/23951303/IJET-V6I3P11

Authors: Dr. S.Yuvaraj, Dr. R.Seshasayanan, Dr. K.K. Senthil Kumar

         


Abstract
- Satellite images are used in many fields of Earth Science Research and development. One of the main concepts of these types of images is their resolution. In this paper, we propose a hybrid satellite image resolution enhancement technique based on the image pixels values. The high-frequency content sub band’s images are obtained by the implementing SWT and DWT of the input image. In this technique the input image is decomposed into different sub band’s content images like LL, LH, HL and HH from this four different sub band’s images combined with low-resolution input image have been interpolated, followed by combining all these images to generate a new high resolution-enhanced image by using IDWT. In this way to achieve a high resolution image, an intermediate stage for estimating the high-frequency subbands has been interpolated and proposed. This proposed technique has been tested on different low resolution satellite benchmark images. The image quantitative to be analysis the PSNR, MSE, RMSE and entropy show the superiority of the proposed technique over the conventional and state-of-art image resolution enhancement techniques.

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Keywords
Stationary wavelet transform (SWT), discrete wavelet transform (DWT), Bicubic, Bilinear interpolation, inverse DWT, satellite image resolution enhancement, wavelet transform.