改进的量子彩色图像中值滤波算法

图像处理任务中广泛应用中值滤波器来平滑图像和消除幅度极大或极小的噪声,并且可以保持图像的边缘特性,不会使图像产生明显模糊。提出一种改进的空间域量子彩色图像中值滤波算法,并且在IBM Q(international business machines quantum)平台上进行仿真。该算法将量子彩色图像进行存储,利用量子比较器模块、量子控制交换器模块、中值计算模块和阈值模块设计量子彩色图像中值滤波的量子线路。相较于已有的量子彩色图像中值滤波算法,在进行中值滤波之前加入了阈值进行噪声判断,该算法滤波效果更好,同时时间复杂度也更低。

Improved design method for median filtering of quantum color images

In image processing tasks, the median filter is widely used to smooth images and eliminate noise with extremely high or low amplitudes, while preserving the edge characteristics of the image without causing significant blurring. An improved median filtering algorithm for quantum color images in the spatial domain is proposed and simulated on the international business machines quantum (IBM Q) platform. The algorithm first prepares and stores quantum color images, and then designs a quantum line for median filtering of quantum color images using quantum comparator module, quantum control switcher module, median calculation module and threshold module. Compared with existing quantum color image median filtering algorithms, this algorithm adds a threshold for noise judgment before performing median filtering, resulting in better filtering effects and lower time complexity.