Spatio-temporal Just Noticeable Distortion Model Guided Video Watermarking

被引:0
|
作者
Niu, Yaqing [1 ,2 ]
Liu, Jianbo [1 ]
Krishnan, Sridhar [2 ]
Zhang, Qin [1 ]
机构
[1] Commun Univ China, Informat Engn Sch, Beijing, Peoples R China
[2] Ryerson Univ, Dept Elect & Comp Engn, Toronto, ON, Canada
基金
中国国家自然科学基金;
关键词
HVS; Spatio-Tempo IND model; Perceptual watermarking for video; IMAGES;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Perceptual video water mar kilo: needs to take In advantage of the results from human visual system (FINIS) studies Since motion is a specific feature of video. temporal HVS properties need to be taken into account In this paper. we exploit a combined Spatio-Temporal Just Noticeable Distortion (JND) model which incorporates spatial CSF. temporal modulation factor, retinal velocity, luminance adaptation and contrast masking to :wide watermarking for digital video The proposed water mar king scheme where visual models representive additional accurate perceptual visibility threshold are fully used to determine scene-cloven upper bounds on watermark insertion. allows W. to provide the maximum strength transparent watermark Experimental results confirm the improved performance of our combined Spatio-Temporal JND model guided watermarking scheme Our Spatio-Temporal JND model guided watermarking scheme which allows higher injected-watermark enemy without jeopardizing picture quality performs much better on robustness than other algorithms based on the relevant existing perceptual models
引用
收藏
页码:887 / +
页数:3
相关论文
共 50 条
  • [41] SPATIO-TEMPORAL BLOCK MODEL FOR VIDEO INDEXATION ASSISTANCE
    Simac-Lejeune, Alain
    Rombaut, Michele
    Lambert, Patrick
    KDIR 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND INFORMATION RETRIEVAL, 2010, : 475 - 480
  • [42] Spatio-Temporal Correlation Guided Geometric Partitioning for Versatile Video Coding
    Meng, Xuewei
    Jia, Chuanmin
    Zhang, Xinfeng
    Wang, Shanshe
    Ma, Siwei
    IEEE Transactions on Image Processing, 2022, 31 : 30 - 42
  • [43] Spatio-Temporal Correlation Guided Geometric Partitioning for Versatile Video Coding
    Meng, Xuewei
    Jia, Chuanmin
    Zhang, Xinfeng
    Wang, Shanshe
    Ma, Siwei
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 31 : 30 - 42
  • [44] Objective Quality Assessment for Video Retargeting Based on Spatio-Temporal Distortion Analysis
    Hsu, Chih-Chung
    Lin, Chia-Wen
    2017 IEEE VISUAL COMMUNICATIONS AND IMAGE PROCESSING (VCIP), 2017,
  • [45] A Superpixel-Wise Just Noticeable Distortion Model
    Wang, Chuang
    Wang, Yongfang
    Lian, Junjie
    IEEE ACCESS, 2020, 8 : 204816 - 204824
  • [46] JUST NOTICEABLE DISTORTION MAP PREDICTION FOR PERCEPTUAL MULTIVIEW VIDEO CODING
    Gao, Yu
    Xiu, Xiaoyu
    Liang, Jie
    Lin, Weisi
    2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012), 2012, : 1045 - 1048
  • [47] DCT-based Just Noticeable Distortion for Color Image/Video
    Liu, Kuo-Cheng
    FIFTH INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2013), 2014, 9069
  • [48] A survey on just noticeable distortion estimation and its applications in video coding
    Wang, Guoxiang
    Wang, Hongkui
    Li, Hui
    Yu, Li
    Yin, Haibing
    Xu, Haifeng
    Ye, Zhen
    Song, Junfeng
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2024, 98
  • [49] Perceptual video coding with multi-just-noticeable-distortion level
    Wang J.
    Wan S.
    Gong Y.
    Zhao H.
    Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2021, 49 (09): : 11 - 16
  • [50] Robust and Compatible Video Watermarking via Spatio-Temporal Enhancement and Multiscale Pyramid Attention
    Chen, Luan
    Wang, Chengyou
    Zhou, Xiao
    Qin, Zhiliang
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2025, 35 (02) : 1548 - 1561