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Satellite image resolution enhancement using SWT and DWT with SWT

机译:使用SWT和DWT和SWT增强卫星图像分辨率

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Satellite images are necessary in geographical information, medical, geosciences studies and defense monitoring. But the resolution is the drawback of satellite images. Their resolution is modified due to the height of the satellites orbits and instrument used. Image resolution enhancement methods are used to resolve the drawback of satellite images. Resolution enhancement is the essential application in image processing. This application is used to modify the satellite images so that modified images are of better quality with enhanced the edges. Transform domain methods have been used to improve the resolution of images. In this paper, implementation two of transform domain methods such as Stationary Wavelet Transform (SWT) and Stationary Wavelet Transform with Discrete Wavelet transform (DWT) is carried out. Stationary Wavelet Transform (SWT) with Discrete Wavelet Transform (DWT) gives better resolution enhancement compared to SWT, because high frequency components of SWT are added with high frequency components of DWT to generate the estimated high frequency components. The resultant images are tested with the above mentioned methods. These methods compared in terms of Peak Signal to Noise Ratio (PSNR), Root Mean Square Error (RMSE), Mean Square Error (MSE), Mean Absolute Error (MAE) and TIME to show the quality of the particular methods.
机译:卫星图像对于地理信息,医学,地球科学研究和国防监控都是必不可少的。但是分辨率是卫星图像的缺点。由于所用卫星轨道和仪器的高度,它们的分辨率被修改。图像分辨率增强方法用于解决卫星图像的缺点。分辨率增强是图像处理中必不可少的应用。此应用程序用于修改卫星图像,以使修改后的图像在增强边缘的同时具有更好的质量。变换域方法已被用来提高图像的分辨率。本文实现了两种变换域方法,如静止小波变换(SWT)和带离散小波变换的静止小波变换(DWT)。与SWT相比,带有离散小波变换(DWT)的固定小波变换(SWT)可以提供更好的分辨率增强,因为SWT的高频分量与DWT的高频分量相加,从而生成估计的高频分量。用上述方法测试所得图像。这些方法在峰值信噪比(PSNR),均方根误差(RMSE),均方根误差(MSE),均方根绝对误差(MAE)和TIME方面进行了比较,以显示特定方法的质量。

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