QHSL: A quantum hue, saturation, and lightness color model

被引:36
作者
Yan, Fei [1 ]
Li, Nianqiao [1 ]
Hirota, Kaoru [2 ,3 ]
机构
[1] Changchun Univ Sci & Technol, Sch Comp Sci & Technol, Changchun 130022, Peoples R China
[2] Tokyo Inst Technol, Dept Computat Intelligence & Syst Sci, Yokohama, Kanagawa 2268502, Japan
[3] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
Quantum information; Quantum image processing; HSL color model; Pseudocolor processing; FOURIER-TRANSFORM; IMAGE; REPRESENTATION; SEGMENTATION; COMPRESSION; SECURE;
D O I
10.1016/j.ins.2021.06.077
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Image processing with any potential quantum computing hardware requires a quantum color model capable of capturing and manipulating color information in images. In this study, a quantum hue, saturation, and lightness (QHSL) model is proposed as a first attempt to encode perceptually relevant triplet color components using the properties of quantum mechanics (i.e., entanglement and parallelism). The proposed color model was used to define a representation of two-dimensional QHSL images for storage and transformation with fewer computing resources. The configuration of color-assignment attributes within this QHSL representation offer useful applications for image analysis. Specifically, a pseudocolor technique with flexible gray depth divisions is presented for highlighting fine visual details. (c) 2021 Elsevier Inc. All rights reserved.
引用
收藏
页码:196 / 213
页数:18
相关论文
共 47 条
[1]   Efficient quantum-based security protocols for information sharing and data protection in 5G networks [J].
Abd EL-Latif, Ahmed A. ;
Abd-El-Atty, Bassem ;
Venegas-Andraca, Salvador E. ;
Mazurczyk, Wojciech .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 100 :893-906
[2]   New Approach to Image Edge Detection Based on Quantum Entropy [J].
Abdel-Khalek, S. ;
Abdel-Azim, Gamil ;
Abo-Eleneen, Z. A. ;
Obada, A. -S. F. .
JOURNAL OF RUSSIAN LASER RESEARCH, 2016, 37 (02) :141-154
[3]   ELEMENTARY GATES FOR QUANTUM COMPUTATION [J].
BARENCO, A ;
BENNETT, CH ;
CLEVE, R ;
DIVINCENZO, DP ;
MARGOLUS, N ;
SHOR, P ;
SLEATOR, T ;
SMOLIN, JA ;
WEINFURTER, H .
PHYSICAL REVIEW A, 1995, 52 (05) :3457-3467
[4]   Simulations of quantum neural networks [J].
Behrman, EC ;
Nash, LR ;
Steck, JE ;
Chandrashekar, VG ;
Skinner, SR .
INFORMATION SCIENCES, 2000, 128 (3-4) :257-269
[5]   Quantum machine learning [J].
Biamonte, Jacob ;
Wittek, Peter ;
Pancotti, Nicola ;
Rebentrost, Patrick ;
Wiebe, Nathan ;
Lloyd, Seth .
NATURE, 2017, 549 (7671) :195-202
[6]   Histogram-based segmentation of quantum images [J].
Caraiman, Simona ;
Manta, Vasile I. .
THEORETICAL COMPUTER SCIENCE, 2014, 529 :46-60
[7]  
Caraiman S, 2009, CF'09: CONFERENCE ON COMPUTING FRONTIERS & WORKSHOPS, P81
[8]  
Chen W, 2007, 2007 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-5, P1123
[9]  
Gonzalez R., 2008, Digital image processing, prentice hall, V3
[10]   Quantum mechanics helps in searching for a needle in a haystack [J].
Grover, LK .
PHYSICAL REVIEW LETTERS, 1997, 79 (02) :325-328