  Recently single image super resolution is very important research area to
generate high resolution image from given low resolution image. Algorithms of
single image resolution are mainly based on wavelet domain and spatial domain.
Filters support to model the regularity of natural images is exploited in
wavelet domain while edges of images get sharp during up sampling in spatial
domain. Here single image super resolution algorithm is presented which based
on both spatial and wavelet domain and take the advantage of both. Algorithm is
iterative and use back projection to minimize reconstruction error. Wavelet
based denoising method is also introduced to remove noise.
