Quantum Image Weighted Average Filtering in Spatial Domain

• DOI: 10.1007/s10773-017-3533-1
• Publication Date: 2017-09-17T23:41:11Z
• Authors: Panchi Li; Xiande Liu; Hong Xiao
• Keywords: Realization (probability); Composite image filter; Spatial filter

In this paper, we investigated the quantum image spatial filtering, and focused on the design method of quantum weighted averaging filter and its application in image de-noising. To this end, we first designed the quantum circuits for some auxiliary modules, such as swapping two numbers, comparing two numbers, computing the weighted average of some integers, etc. Next, we constructed a weighted averaging filter of size 3 × 3 using auxiliary modules. The spatial filtering directly on the image itself can be accomplished by using designed filter. We provided the quantum circuits that implements the filtering task and presented the results of several simulation experiments on some gray images with different noises. The significance of this paper is to explore the quantum realization method of image filtering in spatial domain.