A Wavelet-based Multipurpose Watermarking for Image Authentication and Recovery (original) (raw)

Image Authentication and Recovery Using Wavelet-Based Dual Watermarking

2015

In this paper a novel watermarking scheme for image authentication and recovery is presented. The algorithm can detect modified regions in images and is able to recover a good approximation of the original content of the tampered regions. For this purpose, two different watermarks have been used: a semi-fragile watermark for image authentication and a robust watermark for image recovery, both embedded in the Discrete Wavelet Transform domain. The proposed method achieves good image quality with mean Peak Signal-to-Noise Ratio values of the watermarked images of 42 dB and identifies image tampering of up to 20% of the original image.

Discrete Wavelet Transform based Watermarking for Image Content Authentication

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

A watermarking scheme based on discrete wavelet transform for content based image authentication is proposed in this paper. The proposed scheme is tolerant to minor modifications which could be due to legitimate image processing operations. The tolerance is obtained by protecting the low frequency data of the wavelet transform using approximate message authentication codes. Major modifications in the image content are identified as forgery attacks. Simulation results are given for unintentional modifications, such as channel noise, and for intentional modifications such as the object insertion and deletion. Security analysis is given at the end to analyze the security strength of the proposed image authentication scheme.

A Semi-fragile Image Watermarking using Wavelet Inter Coefficient Relations

International Journal of Information …, 2007

Proliferation of multimedia on the Internet has led to the need for developing authentication mechanisms. This article proposes a new blind watermarking scheme based on the contents of the image in the discrete wavelet transform domain for image authentication. The host image is discrete wavelet transformed up to second level. The relationship between neighboring wavelet coefficients in each band of the second level decomposition is considered to construct the content-based watermark. The watermark is embedded in the first level mid frequency band, of the discrete wavelet transformed image. The received image is authenticated by extracting the watermark and determining the level of authenticity. This scheme is capable of tolerating content-preserving modifications and detecting content-changing modifications. Experimental results prove the efficiency of the scheme.

Robust Image Watermarking Scheme Based on Wavelet Technique

2011

In this paper, an image watermarking scheme based on multi bands wavelet transformation method is proposed. At first, the proposed scheme is tested on the spatial domain (for both a non and semi blind techniques) in order to compare its results with a frequency domain. In the frequency domain, an adaptive scheme is designed and implemented based on the bands selection criteria to embed the watermark. These criteria depend on the number of wavelet passes. In this work three methods are developed to embed the watermark (one band (LL|HH|HL|LH), two bands (LL&HH | LL&HL | LL&LH | HL&LH | HL&HH | LH&HH) and three bands (LL&HL&LH | LL&HH&HL | LL&HH&LH | LH&HH&HL) selection. The analysis results indicate that the performance of the proposed watermarking scheme for the non-blind scheme is much better than semi-blind scheme in terms of similarity of extracted watermark, while the security of semi-blind is relatively high. The results show that in frequency domain when the watermark is added ...

A TECHNIQUE OF WATERMARKING USING WAVELET

A wavelet-based image watermarking scheme is proposed, based on insertion of normally distributed random noise watermark in mid-frequency domain. This new approach provides flexibility in determining the pixel to be watermarked and increases the data hiding capacity. It is easy to implement watermark embedding algorithm as well as the corresponding detection algorithm.

Wavelet transform based watermark for digital images

Optics Express, 1998

In this paper, we introduce a new multiresolution watermarking method for digital images. The method is based on the discrete wavelet transform (DWT). Pseudo-random codes are added to the large coefficients at the high and middle frequency bands of the DWT of an image. It is shown that this method is more robust to proposed methods to some common image distortions, such as the wavelet transform based image compression, image rescaling/stretching and image halftoning. Moreover, the method is hierarchical.

Digital Watermarking using Wavelet Transform Algorithm

Digital watermarking is the newfangled idea in digital media. As the replication and modification of digital media content is done frequently and without any significant obstruction, secrecy and authenticity become vulnerable to attacks. In the information hiding community digital watermarking has achieved immense popularity due to its righteous stronghold against piracy and non-repudiation. Many watermarking algorithm has been developed in recent years. From the context of the purposes, as they serve, they differ from each other. In this paper we focus on digital watermarking technique & algorithm for digital watermarking technique using discrete wavelet transformation.

Wavelet packets-based digital watermarking for image verification and authentication

Signal Processing, 2003

In this paper, we present a novel watermarking scheme to ensure the authenticity of digital images. Our authentication technique is able to detect malicious tampering of images even if they have been incidentally distorted by basic image processing operations. The image protection is achieved by the insertion of a secret author's identification key in the image wavelet coefficients by their selective quantization. Our system uses characteristics of the human visual system to maximize the embedding weights while keeping good perceptual transparency. We develop an image-dependent method to evaluate, in the wavelet domain, the optimal quantization step allowing the tamper proofing of the image. The nature of multiresolution discrete wavelet decomposition allows the spatial and frequency localization of image tampering. Experimental results are presented to demonstrate the capacity of our system to detect unauthorized modification of images, to show its robustness to image compression and high security levels and to compare it with publicly available image authentication software.