Instance-dictionary learning for open-world object detection in autonomous driving scenarios

Z Ma, Z Zheng, J Wei, Y Yang… - IEEE Transactions on …, 2023‏ - ieeexplore.ieee.org
This paper addresses an important and valuable open-world object detection (OWOD) in
autonomous driving scenarios, which aims to detect objects under both domain-agnostic …

Robust Deep Image Watermarking: A Survey.

Y Luo, X Tan, Z Cai - Computers, Materials & Continua, 2024‏ - search.ebscohost.com
In the era of internet proliferation, safeguarding digital media copyright and integrity,
especially for images, is imperative. Digital watermarking stands out as a pivotal solution for …

Removing Hidden Information by Geometrical Perturbation in Frequency Domain

L He, B Feng, Z Peng, B Chen, Z **a… - IEEE Transactions on …, 2024‏ - ieeexplore.ieee.org
The risk of malicious exploitation of advanced image steganography necessitates the
removal of hidden information from images. However, it is crucial to preserve the visual …

Image Steganography: A Comparative and Practical Study

HF AbdelRazik, S Saad… - … Journal of Intelligent …, 2024‏ - ijicis.journals.ekb.eg
Data security and privacy concerns arise from sharing sensitive data online. Methods such
as digital watermarking, cryptography, and steganography are employed to protect data …

Reversible Image Steganography to Achieve Effective PSNR

MG Nayab, AP Singh, R Sharma, G Raj - International Conference on …, 2023‏ - Springer
Image Steganography is one of the most well-known methods where a top-secret data is
embedded into the pixels of an image by altering some of its pixel values. Reversible Image …

Comparative analysis of V-Net and U-Net++ for image steganography with emphasis on accuracy

N Vasanth, G Ramalingam - AIP Conference Proceedings, 2024‏ - pubs.aip.org
With a greater degree of precision, the primary objective of this study is to investigate and
evaluate picture steganography that is based on V-Nets for the purpose of performance …