Scaling operations are widely used in traditional image processing.Therefore, in this paper, an improved quantum image representation based on HSIcolor space (IQIRHSI) is proposed, which extends the original 2n ×...Scaling operations are widely used in traditional image processing.Therefore, in this paper, an improved quantum image representation based on HSIcolor space (IQIRHSI) is proposed, which extends the original 2n × 2n size togeneral 2n1 × 2n2 size. Then, the quantum algorithms and circuits were designedto implement quantum image scaling. Interpolation was introduced to recover thelost information in the scaled image. The nearest neighbor interpolation methodwas researched on scaled IQIRHSI to make the interpolation method easy toimplement. Finally, the complexity of the quantum circuit for image scaling wasanalyzed and the process of quantum image scaling was described in detail byexamples.展开更多
基金This work is supported by the Postdoctoral Research Foundation of China(2018M631914)the Heilongjiang Provincial Postdoctoral Science Foundation(CN)(LBHZ17042).
文摘Scaling operations are widely used in traditional image processing.Therefore, in this paper, an improved quantum image representation based on HSIcolor space (IQIRHSI) is proposed, which extends the original 2n × 2n size togeneral 2n1 × 2n2 size. Then, the quantum algorithms and circuits were designedto implement quantum image scaling. Interpolation was introduced to recover thelost information in the scaled image. The nearest neighbor interpolation methodwas researched on scaled IQIRHSI to make the interpolation method easy toimplement. Finally, the complexity of the quantum circuit for image scaling wasanalyzed and the process of quantum image scaling was described in detail byexamples.
