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Aug 3, 2024 · A statistical learning based blind image watermarking technique is proposed in this paper. The idea of the proposed method to solve the balancing problem is to ...
To solve the balancing problem, a statistical learning based blind image watermarking technique is proposed in this paper. The idea of the proposed method to ...
Abstract:This work presents a blind and robust scheme using YCbCr color space, IWT (integer wavelet transform) and DCT (discrete cosine transform) for color ...
Feb 14, 2024 · This paper proposes a new watermarking method that is robust against geometric attacks. The proposed method is based on the existing HiDDeN architecture.
Missing: Statistical | Show results with:Statistical
The proposed research introduces a revolutionary deep learning-based image watermarking approach in order to address these issues. This scheme is designed to ...
The proposed work presents a novel ensemble model based blind image watermarking using a random-subspace-one dimensional linear discriminate machine learning ...
Missing: approach. | Show results with:approach.
This work presents a blind and robust scheme using YCbCr color space, IWT (integer wavelet transform) and DCT (discrete cosine transform) for color image ...
Missing: Statistical | Show results with:Statistical
In this paper, we investigate the question of deploying well-studied image watermarking techniques to be applied to classification algorithm datasets.
Nov 21, 2023 · This paper presents a novel image watermark detection algorithm based on local fast and accurate polar harmonic Fourier moments (FAPHFMs) and the BKF–Rayleigh ...
Dec 19, 2023 · A color image can be represented using several models such as the RGB model, YIQ model, YUV model, and YCbCr model, and each color model has ...