Implementing Bilinear Interpolation on Quantum Images
Abstract
In this paper, we present an interpolation scheme for FRQI images based on bilinear interpolation. To accomplish this, we formulated several quantum modules, i.e., assignment module, increment module, and quarter module, and suffused them into our proposed quantum image interpolation circuit. The concrete quantum circuits to accomplish up-scaling and down-scaling based on bilinear for FRQI images are designed and the network complexities of them are analyzed. Finally, to validate the proposed method, simulation experiments to enlarge and reduce the test images are executed, whose results are compared with the nearest neighbor interpolation for FRQI images. The up-scaled images by using proposed interpolation algorithm achieve satisfactory results, and both PSNR and SSIM values are better than those of the nearest neighbor method.
Cite
@article{arxiv.2010.10254,
title = {Implementing Bilinear Interpolation on Quantum Images},
author = {Fei Yan and Shan Zhao and Salvador E. Venegas-Andraca},
journal= {arXiv preprint arXiv:2010.10254},
year = {2020}
}
Comments
16 pages, 17 figures