A strong robust zero-watermarking scheme based on shearlets' high ability for capturing directional features
type: Item
instance of: scholarly article
title: A strong robust zero-watermarking scheme based on shearlets' high ability for capturing directional features
zbMATH Open document ID: 1400.94043
DOI: 10.1155/2016/2643263
author: Jian Zhao
author: Wensheng Xu
author: Shunli Zhang
author: Shuaishuai Fan
author: Wanru Zhang
published in: Mathematical Problems in Engineering
publication date: 2018-10-12T00:00:00Z
review text: Summary: Zero-watermarking is a blind digital watermarking method. It has reached the point where the robustness and the imperceptibility can arrive at a good balance. In this paper, a strong robust zero-watermarking scheme is proposed which employs multiresolution and multiscale representation characteristics of nonsubsampled shearlet transform to analyze the direction features of the given image. The effectiveness of the proposed scheme for dealing with many kinds of attack such as compression, noise addition, and scaling is demonstrated by the experimental results. When compared with other zero-watermarking schemes using counterpart transforms like discrete wavelet transform, the experimental results show that the proposed watermarking scheme can get better performance.
Mathematics Subject Classification ID: 94A08
Mathematics Subject Classification ID: 94A62
Mathematics Subject Classification ID: 68U10
Mathematics Subject Classification ID: 65T60
zbMATH DE Number: 6952945
Wikidata QID: Q59130715
describes a project that uses: NSCT toolbox
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2016/2643263
OpenAlex ID: W2542639526
cites work: Shearlets: Theory and Applications
cites work: Wavelet-based color pathological image watermark through dynamically adjusting the embedding intensity
cites work: Sparse directional image representations using the discrete shearlet transform
cites work: The Discrete Shearlet Transform: A New Directional Transform and Compactly Supported Shearlet Frames
cites work: Color-Direction Patch-Sparsity-Based Image Inpainting Using Multidirection Features
description: scientific article; zbMATH DE number 6952945