Abstract
Quantum information science is an emerging research field devoted to the use of quantum mechanical systems to devise and implement information processing tasks faster than that possible with classical computers. In this study, two quantum image resolution enhancement (QIRE-I and QIRE-II) schemes are proposed based on quantum wavelet transformand quantum interpolation. Using these, the resolutions of low-resolution (LR) images are enhanced by decomposing them into four frequency sub-bands using a single-level one-dimensional (1-D) quantum Haar wavelet transform (QHWT). Subsequently, to preserve the edges and obtain sharper high-resolution (HR) images, quantum interpolation was applied to three of the high-frequency sub-bands. A few simulation-based demonstrations are presented to illustrate the feasibility and effectiveness of the proposed schemes. The visual and quantitative results demonstrate the superiority of the proposed schemes over those that use only quantum interpolation.