基于量子力学的均值滤波

量子计算和量子信息是涉及物理学、计算机科学、数学以及信息科学等多个学科的新兴综合性交叉学科,有着广阔的前景。根据量子信息处理理论,提出了一种基于量子力学的自适应均值滤波方案。在提出的均值滤波中,移动的窗口图像像素采用量子叠加态表示,通过由窗内像素的特征生成的测量算子对窗口图像的作用来调整均值运算窗口的权值,进而实现基于量子力学的均值滤波。计算机仿真表明,所提出的均值滤波器与传统均值滤波器相比具有更好的滤波效果。

Mean filter based on quantum mechanics

Quantum computation and quantum information is an emerging cross-disciplinary research field and includes some subjects,such as physics,computer sciences,mathematics and information sciences and so on.By employing quantum information theory,we present an adaptive mean filter program based on quantum mechanics.In the proposed mean filter,the moved window image pixels are denoted by quantum superposition states.With the action of measurement operators generated by the characteristics of pixels on the image window to adjust the weights of the mean operator window,then the filter based on quantum mechanics is proposed.Computer simulation shows that the proposed mean filter is more effective than the traditional one.