Abstract
In today’s world, many applications require satellite images, but resolution is the major weakness of these images. Many researchers have initiated to determine the resolution problem by using transform domain methods like Stationary Wavelet Transform (SWT), Discrete Wavelet Transform (DWT), SWT&DWT and proposed method which integrates DWT, SWT & Integer Wavelet Transform (IWT) that is implemented to overcome the resolution problem of mentioned images. In all these methods, the low resolution (LR) image is broken down into four sub-band images namely Low-Low (LL), Low-High (LH), High-Low (HL) and High-High (HH). The Bi-Cubic Interpolation factor 2 is used on high-frequency sub-band images for resizing the sub-band images. Resolutions of images are enhanced by applying Inverse Transform. For comparison of transform domain methods, the satellite images- LANDSAT8, LANDSAT7 and LANDSAT5 are used in this paper. Objective of the proposed method is to integrate the features of IWT, DWT and SWT in order to improve the resolution. The results demonstrate the supremacy of the suggested method. The Peak Signal to Noise Ratio (PSNR), Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Time in seconds (s) provide improved result by using the proposed technique.
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