Robust digital watermarking for color images in combined DFT and DT-CWT domains.

Math Biosci Eng

Shanghai Institute of Intelligent Electronics and Systems, School of Computer Science, Fudan University, Shanghai, China.

Published: May 2019

Image watermarking focuses on hiding secret data into the cover image imperceptibly to protect the copyright of the original image. In this paper, we propose a new framework of robust digital watermarking for color images using combined embedding techniques of Discrete Fourier Transform (DFT) and Dual Tree Complex Wavelet Transform (DTCWT). The cover image is first divided into Y, U and V channels. The Y channel is then transformed by DFT and partitioned into the ring shapes. With an embedding key, we generate pseudo-random patterns to represent the watermark. These patterns are also transformed and partitioned. The watermark represented by the selection of patterns is then embedded into the rings of the DFT coefficients. We further embed a rectification watermark into the U channel, in which DTCWT is applied to achieve a capability of geometric distortion resilience. On the recipient's side, the detection and extraction of watermark can be successfully done. Compared with previous schemes, the proposed method is better on preserving the image quality. Meanwhile, the robustness against typical attacks is also stronger.

Download full-text PDF

Source
http://dx.doi.org/10.3934/mbe.2019241DOI Listing

Publication Analysis

Top Keywords

robust digital
8
digital watermarking
8
watermarking color
8
color images
8
images combined
8
cover image
8
image
5
dft
4
combined dft
4
dft dt-cwt
4

Similar Publications

Accurate diagnosis of oral lesions, early indicators of oral cancer, is a complex clinical challenge. Recent advances in deep learning have demonstrated potential in supporting clinical decisions. This paper introduces a deep learning model for classifying oral lesions, focusing on accuracy, interpretability, and reducing dataset bias.

View Article and Find Full Text PDF

Nursing activity recognition has immense importance in the development of smart healthcare management and is an extremely challenging area of research in human activity recognition. The main reasons are an extreme class-imbalance problem and intra-class variability depending on both the subject and the recipient. In this paper, we apply a unique two-step feature extraction, coupled with an intermediate feature 'Angle' and a new feature called mean min max sum to render the features robust against intra-class variation.

View Article and Find Full Text PDF

Introduction: Rape is a severe violation involving non-consensual sexual acts, often accompanied by force, threats, or coercion, leading to profound physical, emotional, and social consequences for survivors.

Aim: This review aims to examine and synthesize research on effective strategies for rape prevention and intervention, with a particular focus on social control mechanisms, legal frameworks, cultural change, educational programs, public awareness campaigns, community vigilance, victim support services, and the influence of digital media.

Methodology: A comprehensive review was conducted by searching PubMed, Scopus, PsycINFO, and Google Scholar for peer-reviewed articles, policy papers, and reports from the past 20 years.

View Article and Find Full Text PDF

Background: Precautionary measures implemented to reduce the spread of COVID-19, such as social distancing and stay-at-home orders, have inevitably affected the mental health of older adults. This study aimed to measure loneliness among the elderly living in the Jazan region, Saudi Arabia, during the COVID-19 pandemic.

Methods: This cross-sectional study was conducted between February and April 2022 in the Jazan area, Saudi Arabia.

View Article and Find Full Text PDF

Creativity and style in music playing originates from constraints and imperfect interactions between instruments and players. Digital and robotic systems have so far been unable to capture this naturalistic playing. Whether as an additional tool for musicians, function restoration with prosthetics, or artificial intelligence-powered systems, the physical embodiment and interactions generated are critical for expression and connection with an audience.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!