A Gradient Invariant DCT-Based Image Watermarking Scheme for Object Detection

被引：0

作者：

Hu, Xiaocheng ^{[1
]}

Zhang, Bo ^{[1
]}

Li, Huibo ^{[1
]}

Guo, Jing ^{[1
]}

Yang, Yunxiang ^{[1
]}

Jiang, Yinan ^{[1
]}

Guo, Ke ^{[1
]}

机构：

[1] China Acad Elect Informat Technol, Beijing 100041, Peoples R China

来源：

COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS, CSPS 2018, VOL II: SIGNAL PROCESSING | 2020年 / 516卷

基金：

国家重点研发计划;

关键词：

Watermarking; Robustness; HOG feature extraction;

D O I：

10.1007/978-981-13-6504-1_111

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In this paper, we proposed a novel DCT-based watermarking scheme for grayscale images, which utilizes the connection between discrete cosine transform (DCT) and the Histogram of Oriented Gradient (HOG) feature extraction operation. We embed messages into the low-frequency band, and correspondingly, an effective coefficients pair selection scheme is constructed. The proposed scheme not only maintains the superiority of compression robustness but also keeps good visual quality for the watermarked image. Moreover, the proposed method is insensitive to HOG feature extraction, which makes the watermarked image more suitable for further objection detection and recognition scenarios.

引用

页码：923 / 931

页数：9

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