A robust HDR images watermarking method using artificial bee colony algorithm

被引:25
|
作者
Bakhsh, F. Yazdan [1 ]
Moghaddam, Mohsen Ebrahimi [1 ]
机构
[1] Shahid Beheshti Univ, Fac Comp Sci & Engn, GC, Tehran, Iran
关键词
Artificial bee colony (ABC); High dynamic range (HDR); Tone mapping operator (TMO); Watermarking; Discrete wavelet transform (DWT); IMPERIALIST COMPETITIVE ALGORITHM; TONE REPRODUCTION;
D O I
10.1016/j.jisa.2018.05.003
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a robust watermarking method for High Dynamic Range Images (HDRIs) is presented. In order to find the best block for watermark insertion, Artificial Bee Colony (ABC) is employed. After selection of the best block, the insertion procedure inserts binary marks in the selected first level approximation sub-band of Discrete Wavelet Transform (DWT) in each selected block. In the extraction process, an extraction method is applied to obtain and detect the hidden marks. Several experiments have been done to show imperceptibility and robustness of the proposed algorithm on a dataset of 12 HDR images. The results have shown the superiority of the proposed algorithm to some state of the art methods. (c) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:12 / 27
页数:16
相关论文
共 50 条
  • [21] An improved artificial bee colony algorithm: particle bee colony
    Wang J.-C.
    Li Q.
    Cui J.-R.
    Zuo W.-X.
    Zhao Y.-F.
    Li, Qing (liqing@ies.ustb.edu.cn), 2018, Science Press (40): : 871 - 881
  • [23] Application of Artificial BEE: Colony Algorithm Using Hadoop
    Bansal, Nupur
    Kumar, Sanjay
    Tripathi, Ashish
    PROCEEDINGS OF THE 10TH INDIACOM - 2016 3RD INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT, 2016, : 3615 - 3619
  • [24] Training ANFIS Using Artificial Bee Colony Algorithm
    Karaboga, Dervis
    Kaya, Ebubekir
    2013 IEEE INTERNATIONAL SYMPOSIUM ON INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (IEEE INISTA), 2013,
  • [25] Polygonal Approximation Using an Artificial Bee Colony Algorithm
    Huang, Shu-Chien
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
  • [26] Malware Detection using Artificial Bee Colony Algorithm
    Mohammadi, Farid Ghareh
    Shenavarmasouleh, Farzan
    Amini, M. Hadi
    Arabnia, Hamid R.
    UBICOMP/ISWC '20 ADJUNCT: PROCEEDINGS OF THE 2020 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2020 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS, 2020, : 568 - 572
  • [27] Training ANFIS by using the artificial bee colony algorithm
    Karaboga, Dervis
    Kaya, Ebubekir
    TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2017, 25 (03) : 1669 - 1679
  • [28] Artificial Bee Colony Algorithm for Automatic Leukocytes Segmentation in Histopathological Images
    Sharma, Harish
    Arya, K. V.
    Saraswat, Mukesh
    2014 9TH INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS (ICIIS), 2014, : 7 - 12
  • [29] An active deep learning method for diabetic retinopathy detection in segmented fundus images using artificial bee colony algorithm
    Ozbay, Erdal
    ARTIFICIAL INTELLIGENCE REVIEW, 2023, 56 (04) : 3291 - 3318
  • [30] An active deep learning method for diabetic retinopathy detection in segmented fundus images using artificial bee colony algorithm
    Erdal Özbay
    Artificial Intelligence Review, 2023, 56 : 3291 - 3318