Open AccessQuantum image processing algorithm using edge extraction based on Kirsch operator
Author(s) -
Pengfei Xu,
Zhenxing He,
Tianhui Qiu,
Hongyang Ma
Publication year - 2020
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.386283
Subject(s) - image processing , computer science , operator (biology) , algorithm , edge detection , representation (politics) , quantum algorithm , quantum computer , quantum , computer vision , artificial intelligence , image (mathematics) , physics , quantum mechanics , biochemistry , chemistry , repressor , politics , transcription factor , political science , law , gene
In this work, a quantum image processing algorithm is developed using the edge extraction method together with the Kirsch operator. In our approach, novel enhanced quantum representation (NEQR) is employed as the image representation model for processing quantum image, which generates results of edge extraction using the Kirsch operator. The proposed algorithm can perform real-time image processing with high accuracy. We carry out the design, analyses, and simulations of quantum circuits based on our approach, which shows that the image processing speed and acuracy are much better than the classical edge extraction algorithms.