Main Article Content
In today’s world, satellite images are essential for many applications such as defense monitoring, geosciences studies, medical and geographical information. The main drawback of these images is change in their resolution due to the instrument used and the height of the satellites orbits used to capture the images. It is necessary to modify the resolution of images so that modified images are better than original images. Image resolution enhancement is one of the major applications in image processing. This application preserves edges of satellite images .Various domains such as spatial and transform domains are used to enhance the satellite images. Transform domain method provides the better quality image as compared to spatial domain method. Different transform methods are implemented such as Discrete Cosine Transform (DCT) and Discrete wavelet Transform (DWT) for resolution enhancement of satellite images. In this paper we have carried out image resolution enhancement using DCT and DWT. The resultant images are compared in terms of Peak-Signal to Noise Ratio (PSNR), RMSE (Root Mean Square Error), TIME and Mean Absolute Error (MAE) to determine superior method. We conclude that DWT provide the better quality image as compared to DCT as DWT preserves high frequency components.