Asymmetric scaling of a quantum image based on bilinear interpolation with arbitrary scaling ratio

被引:1
|
作者
Gao, Chao [1 ,2 ]
Zhou, Ri-Gui [1 ,2 ]
Li, Xin [1 ,2 ]
Li, Yao-Chong [1 ,2 ]
机构
[1] Shanghai Maritime Univ, Coll Informat Engn, Shanghai 201306, Peoples R China
[2] Res Ctr Intelligent Informat Proc & Quantum Intel, Shanghai 201306, Peoples R China
基金
中国国家自然科学基金;
关键词
Quantum image processing; Image scaling; Quantum image representation; Bilinear interpolation; REPRESENTATION;
D O I
10.1007/s11128-022-03612-8
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
As a branch of quantum image processing, the quantum image scaling has been widely studied in the recent years. In this paper, an asymmetric scaling for quantum image with arbitrary scaling ratio is proposed. Firstly, the generalized quantum image representation is employed to represent a quantum image of arbitrary size HxW, and the bilinear interpolation is utilized to obtain the interpolated image. Then, the quantum circuit of the quantum image scaling algorithm with different scaling ratios in two dimensions is designed. Finally, the network complexity and simulation results of the two scaling methods are analyzed. The final result shows that the proposed scheme is a quadratic function, which is much lower than the cubic function and exponential function of other bilinear interpolation schemes.
引用
收藏
页数:23
相关论文
共 50 条
  • [21] Edge Curve Scaling and Smoothing with Cubic Spline Interpolation for Image Up-Scaling
    Wei-Chen Wu
    Tsun-Hsien Wang
    Ching-Te Chiu
    [J]. Journal of Signal Processing Systems, 2015, 78 : 95 - 113
  • [22] Edge Curve Scaling and Smoothing with Cubic Spline Interpolation for Image Up-Scaling
    Wu, Wei-Chen
    Wang, Tsun-Hsien
    Chiu, Ching-Te
    [J]. JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 2015, 78 (01): : 95 - 113
  • [23] An Approach of Image Scaling Using DWT and Bicubic Interpolation
    Sekar, K.
    Duraisamy, V.
    Remimol, A. M.
    [J]. 2014 INTERNATIONAL CONFERENCE ON GREEN COMPUTING COMMUNICATION AND ELECTRICAL ENGINEERING (ICGCCEE), 2014,
  • [24] A log-polar interpolation applied to image scaling
    Amanatiadis, A.
    Andreadis, I.
    Gasteratos, A.
    [J]. 2007 IEEE INTERNATIONAL WORKSHOP ON IMAGING SYSTEMS AND TECHNIQUES, 2007, : 60 - +
  • [25] An efficient convolution interpolation kernel for digital image scaling
    Lin, Chung-chi
    Sheu, Ming-hwa
    Chiang, Huann-keng
    Liaw, Chishyan
    Wu, Zeng-chuan
    [J]. IEICE ELECTRONICS EXPRESS, 2008, 5 (20) : 860 - 864
  • [26] Quantum image scaling with applications to image steganography and fusion
    Li, Nianqiao
    Yan, Fei
    Venegas-Andraca, Salvador E.
    Hirota, Kaoru
    [J]. SIGNAL PROCESSING-IMAGE COMMUNICATION, 2023, 117
  • [27] Optimized Image Scaling Using DWT and Different Interpolation Techniques
    Aslam, Wardah
    Khurshid, Khurram
    Khan, Asfaq Ahmed
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2016, 7 (06) : 294 - 300
  • [28] Design of nine-point interpolation adaptive image scaling algorithm based on FPGA
    Zhu Ming-da
    Xin Peng
    Chang Jia-ying
    [J]. CHINESE JOURNAL OF LIQUID CRYSTALS AND DISPLAYS, 2023, 38 (08) : 1075 - 1083
  • [29] Video image scaling technology based on adaptive interpolation algorithm and TTS FPGA implementation
    Liu, Guangyu
    Zhou, Bao
    Huang, Yi
    Wang, Longfei
    Wang, Wei
    Zhao, Enming
    [J]. COMPUTER STANDARDS & INTERFACES, 2021, 76
  • [30] INTERVAL AND RATIO SCALING OF PHOTOGRAPHIC IMAGE QUALITY ATTRIBUTES
    TYRRELL, MP
    JACOBSON, RE
    ATTRIDGE, GG
    [J]. JOURNAL OF PHOTOGRAPHIC SCIENCE, 1990, 38 (06): : 225 - 228