Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
