Digital Color Image Watermarking using DWT-DCT Coefficients in RGB Planes

Digital image watermarking is used to identify the authenticity and integrity and to show the identity of its owners. This paper presents a more secure method for copy right protection. In the proposed method, the color image is decomposed into 3 color channels Red, Green and Blue and then DWT and DCT are applied to B channel of the R, G and B channels. The colored Watermark image is decomposed into R, G, B channels and DCT is applied to all the channels separately. R, G, B channels of watermark image are embedded into mid frequency coefficients of B channel already selected. The performance of proposed algorithm is measured by using Mean Square Error, Peak Signal to Noise Ratio, Standardized Correlation and Normalized Correlation. A comparative study of proposed scheme with the existing methods which uses DWT-DCT transforms is carried here and results shown

Deep Convolutional Neural Network to Detect J-UNIWARD

This paper presents an empirical study on applying convolutional neural networks (CNNs) to detecting J-UNIWARD, one of the most secure JPEG steganographic method. Experiments guiding the architectural design of the CNNs have been conducted on the JPEG compressed BOSSBase containing 10,000 covers of size 512x512. Results have verified that both the pooling method and the depth of the CNNs are critical for performance. Results have also proved that a 20-layer CNN, in general, outperforms the most sophisticated feature-based methods, but its advantage gradually diminishes on hard-to-detect cases. To show that the performance generalizes to large-scale databases and to different cover sizes, one experiment has been conducted on the CLS-LOC dataset of ImageNet containing more than one million covers cropped to unified size of 256x256. The proposed 20-layer CNN has cut the error achieved by a CNN recently proposed for large-scale JPEG steganalysis by 35%. Source code is available via GitHub: https://github.com/GuanshuoXu/deep_cnn_jpeg_steganalysisComment: Accepted by IH&MMSec 2017. This is a personal cop

Compare Between DCT and DWT for Digital Watermarking in Color Image

In This paper we compare between Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) in the field of image authentication and digital watermarking. Our proposed method depending on the embedding stage and extraction stag that presented in [1] but our scheme embeds the logo bits inside the low frequency domain because DWT gives optimal results with LL domain, while [1] used middle frequency domain with DCT. Our improvement by using a secrete K called user key (int. K=1, K<=N) where N=10, is used to generate a random vectors  for the selected coefficient, this attempt is made to increase the security and robustness for the proposed scheme to compare between DCT that illustrated in [1] with middle frequency domain and DCT, DWT in the existing paper that used low frequency domain, it used block based technique with embedding stage, the development that illustrated in the existing paper by using DWT transform on the recovered of binary watermark for the purpose of image authentication in frequency domain using DWT, and DCT transforms with true color image. The method focused on the objective quality after embedding stage and the recovered watermark after extraction stage. With DWT in the first step, the cover image is decomposed into three levels by DWT transform. Then the hiding site was LL sub band of the DWT coefficients. Furthermore, our proposed method deal with true color image without converting its color space into other color space with various image texture all of them with size of 256*256 Bit map image file format, the proposed scheme deal with three sub-bands (Red, Green, and Blue) at the same time to hide logo bits inside the host by using Patchwork technique with embedding stage, so if one is destroyed the other may survive, it provide optimal security whenever any sub-bands color destroyed. With our proposed method a secret watermark in the form of binary (o, 1) pattern is embedded inside the host under DCT, DWT, one bit from the watermark will be embedded inside the selected coefficient from the selected block of the host. Our proposed method was evaluated with different types of intended attacks such as: salt and pepper noise, Poisson noise, and speckle noise. Moreover, unintended attacks consider by spatial enhancement filter such as median filter that used to improve the quality for the watermarked image after unintended attack. After experiments, it was found that our proposed method provides security and high performance with low computational complexity and good objective quality. Our scheme evaluate the imperceptibility for the watermarked image after embedding stage by using Peak signal to Noise Ratio (PSNR), while the recovered watermark evaluated by some types of metrics such as Mean Square Error (MSE), Normalized Correlation (NC), and correlation factor (SIM). Our proposed method has ability to deal with different image texture and format such as (BMP), Portable Network Graphics (PNG), and Tagged Image File Format (TIFF). Keywords: Authentication, Objective, Subjective

Copyright Protection for Digital Images on Portable Devices

The astonishing rapid diffusion of portable devices (i.e. smartphones, tablets, etc.) has had a big, and often positive, impact on our every-day life. These devices have new advanced features developed specifically because of user demand. For example, it is now possible to publish directly the pictures obtained by means of the internal camera of a smartphone on our social network accounts, or on an image hosting service. It is therefore important to have tools, on the portable devices, that can prove the ownership of the pictures and to use them before publishing images. Digital watermarking techniques are commonly used for the copyright protection of images and videos. We have developed a tool for portable devices based on the Android OS that allows the embedding of a digital visible or invisible watermark into a digital image

Robust light field watermarking by 4D wavelet transform

Unlike common 2D images, the light field representation of a scene delivers spatial and angular description which is of paramount importance for 3D reconstruction. Despite the numerous methods proposed for 2D image watermarking, such methods do not address the angular information of the light field. Hence the exploitation of such methods may cause severe destruction of the angular information. In this paper, we propose a novel method for light field watermarking with extensive consideration of the spatial and angular information. Considering the 4D innate of the light field, the proposed method incorporates 4D wavelet for the purpose of watermarking and converts the heavily-correlated channels from RGB domain to YUV. The robustness of the proposed method has been evaluated against common image processing attacks

Digital Watermarking using Multiscale Ridgelet Transform

The multi-resolution watermarking method for digital images proposed in this work. The multiscale ridgelet coefficients of low and high frequency bands of the watermark is embedded to the most significant coefficients at low and high frequency bands of the multiscale ridgelet of an host image, respectively. A multi-resolution nature of multiscale ridgelet transform is exploiting in the process of edge detection. Experimental results of the proposed watermarking method are compared with the previously available watermarking algorithm wavelet transform. Moreover, the proposed watermarking method also tested on images attached by Discrete Cosine Transform (DCT) and wavelet based lossy image compression techniques