A flexible representation and invertible transformations for images on quantum computers

Phuc Q. Le*, Abdullahi M. Iliyasu, Fangyan Dong, Kaoru Hirota

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

45 Citations (Scopus)

Abstract

A flexible representation for quantum images (FRQI) is proposed to provide a representation for images on quantum computers which captures information about colors and their corresponding positions in the images. A constructive polynomial preparation for the FRQI state from an initial state, an algorithm for quantum image compression (QIC), and invertible processing operations for quantum images are combined to build the whole process for quantum image processing based on FRQI. The simulation experiments on FRQI include storage and retrieval of images and detecting a line from binary images by applying quantum Fourier transform as a processing operation. The compression ratios of QIC between groups of same color positions range from 68.75% to 90.63% on single digit images and 6.67% to 31.62% on the Lena image. The FRQI provides a foundation not only to express images but also to explore theoretical and practical aspects of image processing on quantum computers.

Original languageEnglish
Title of host publicationNew Advances in Intelligent Signal Processing
EditorsAntonio Ruano, Annamaria Varkonyi-Koczy
Pages179-202
Number of pages24
DOIs
Publication statusPublished - 2011
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume372
ISSN (Print)1860-949X

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