Satellite images are being used in various fields of research over the years, One of the major limitations of some of these images is their resolution. Therefore, image resolution enhancement is the first necessary step in image processing. Image resolution enhancement is the process of modifying the images under consideration so that obtained image is more appropriate than the original image for required application. Image resolution is important aspect of any image. Good quality image i.e. high-resolution image produces better results in image processing application. Resolution enhancement can be done in various domains such as spatial & transform domains. Different transform domain methods that are used for image resolution enhancement are namely, Discrete Wavelet transform (DWT), Stationary Wavelet Transform (SWT), Discrete Cosine Transform (DCT), DualTree Complex Wavelet Transform (DT-CWT) etc. Out of these, DT -CWT is found to be one of the most effective methods. In this paper, we have analyzed different approaches based on interpolation for image resolution enhancement. The discussion and comparison of different transform domain methods for image resolution enhancement is carried out on satellite benchmark images and analytical results showing the supremacy among these methods for image resolution enhancement is presented.