Author : Aditi Sharma 1
Date of Publication :7th April 2016
Abstract: Due to the low frequency nature and as the result of interpolation on satellite images, they may appear as blurred image. To enhance the frequency of those images, Resolution techniques are used. This is used in a several number of applications such as laser and inkjet printing, medical imaging, remote sensing, with some vital objections such as distortions, blurring aliasing, ringing artifacts etc. Enhancing the resolution of an image includes increasing the number of pixels presents to show the details of an image as well as sharpness of the image. This paper studied about the basics of interpolation with some conventional satellite image enhancement techniques and analyses the performance of various image resolution enhancement techniques for satellite images. These techniques are compared on the basis of Root mean square error (RMSE), Mean square error (MSE) and Peak signal to noise ratio (PSNR) factors.
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