Abstract: The process of converting low-resolution images into high-resolution images by removing noise and estimating high-frequency information is known as image super-resolution. Aliased and decimated versions of the actual scenes are considered low-resolution images. The edges of high-resolution images produced by super-resolution from a single image are typically blurred. This paper proposes an approach to generate high-resolution image with sharp edges by combining a cubic B-Splines approximation, a discrete wavelet transform (DWT), and an iterative back-projection (IBP) edge-preserving weighted guided filter. A two-stage cubic B-Splines approximation, which includes pre-filtering and interpolation, is employed to up-sample the low-resolution image. The pre-filtering approach is used to transform pixel values to B-Splines coefficients. This approach minimizes blurring in the up-sampled image. The lost high-frequency information is then estimated using a one-level discrete wavelet transform based on the db1 wavelet. Finally, using a weighted guided filter, the resulting image is subjected to back-projection to obtain a high-resolution image. The proposed single-image super-resolution approach is applied on RGB colour images. The proposed method outperforms other selected approaches for comparison objectively in terms of PSNR and SSIM and also in visual quality.

Victor Kipkoech Mutai, Elijah Mwangi and Ciira wa Maina, “A Cubic B-Splines Approximation Method Combined with DWT and IBP for Single Image Super-resolution” International Journal of Advanced Computer Science and Applications(IJACSA), 13(3), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130337

@article{Mutai2022,
title = {A Cubic B-Splines Approximation Method Combined with DWT and IBP for Single Image Super-resolution},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130337},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130337},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {3},
author = {Victor Kipkoech Mutai and Elijah Mwangi and Ciira wa Maina}
}