IJIRCSTJournal International Journal of Innovative Research in Computer Science and Technology I S Volume 4 Issue 1 Electronics and Communication Engineering English January - February 2016 N N Y 2019 12 04 Computer Sciences Single Image Super Resolution with Wavelet Domain Transformation and Sparse Representation English Y 1 6 K Soumya English Y P Surya Kumari English N Anirudh Ranga English N In this paper, we have proposed a new image resolution enhancement algorithm based on discrete wavelet transform (DWT), lifting wavelet transform (LWT) and sparse recovery of the input image. A single low resolution (LR) is decomposed into different subbands using two operators DWT and LWT. In parallel, the LR image is subjected to a sparse representation interpolation. The higher frequency sub-bands in addition to the sparse interpolated LR image are combined to give a high resolution (HR) image using inverse discrete wavelet transform (IDWT). The qualitative and quantitative analysis of our method shows prominence over the conventional and various state-of-the art super resolution (SR) techniques. English Discrete wavelet transform, image super resolution, lifting wavelet transform, sparse representation. https://ijircst.org/abstract.php?article_id=244