In this paper, a novel parallel color image watermarking scheme in the frequency domain for copyright protection of Multiple Picture Object (MPO) based on multithreading coding is proposed. Designed technique consists of three steps: firstly, the color watermark is codified using the Curvelet Transform (CvT), reducing quantity of information that represents the watermark; the second step represents the embedding process of a color watermark. In the embedding process, theMPO file contains two images where each image is divided in 8x8 pixels blocks applying DCT to any block. A color watermark is inserted in the medium frequency sub-bands of each DCT block, because the modifications performed in this sub-band are less perceptible by Human Visual System (HVS). Finally, during third step, the recovering process for color watermark is performed. The proposed scheme appears to demonstrate significant improvement in processing time though possible parallelization process when moving from serial programming to the use of threads in multicore CPUs. According to numerous experiments, where the Peak Signal-to-Noise Ratio (PSNR) and Similarity Structural Index Measure (SSIM) were used as quality criteria for watermarked MPO image and the recovered color watermark, novel method is not intrusive, since it does not degrade the quality of the watermarked MPO image. Additionally, the proposed framework is resistant to the most common image processing attacks.

Parallel color image watermarking scheme for multiple picture object based on multithreading coding

Currently, most transactions and exchanges are conducted through the Internet thanks to technological tools, running the risk of the falsification and distortion of information. This is due to the massive demand for the virtual world and its easy access to anyone. Image watermarking has recently emerged as one of the most important areas for protecting content and enhancing durability and resistance to these kinds of attacks. However, there is currently no integrated technology able to repel all possible kinds of attacks; the main objective of each technology remains limited to specific types of applications, meaning there are multiple opportunities to contribute to the development of this field. Recently, the image watermarking field has gained significant benefits from the sudden popularity of deep learning and its outstanding success in the field of information security. Thus, in this article, we will describe the bridge by which the watermarking field has evolved from traditional technology to intelligent technologies based on deep learning.

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Image Watermarking between Conventional and Learning-Based Techniques: A Literature Review

Digital watermark technology hides copyright information in digital images, effectively protecting the copyright of digital images. At present, the color image digital watermarking algorithm still has defects such as the inability to balance robustness, invisibility and the weak anti-attack ability. Aiming at the above problems, this paper studies the digital watermarking method based on discrete wavelet transform and discrete cosine transform. Then this paper proposes a color image blind digital watermarking algorithm based on QR code. First, convert the color image from RGB space to YCbCr space, extract the Y component and perform the second-level discrete wavelet transform. secondly, block the LL2 subband and perform the discrete cosine transform. finally, use the embedding method to convert the watermark information after the Arnold transform embedded in the block. The experimental results show that the PSNR of the color image embedded with the QR code is 56.7159 without being attacked. After being attacked, its PSNR and NC values are respectively 30dB and 0.95 or more, which proves that the algorithm has good robustness and can achieve watermarking blind extraction.

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Blind Extraction of Digital Watermarking Algorithm for Color Images

Digital image watermarking is a powerful tool to secure digital images. An important step in these schemes is the quantification used to insert the watermark. In this paper, to improve the robustness of the watermark against JPEG-compression, different quantification variants are analyzed and optimized for a handwritten document image watermarking scheme. The results demonstrate that the embedded watermarks can be almost fully extracted from the JPEG-compressed images with high compression ratios.

Improving the Robustness of DCT-Based Handwritten Document Image Watermarking Against JPEG-Compression

A recent survey on image watermarking using scaling factor techniques for copyright protection

Technology advances and easy access to multimedia tools with digital content have increased the number of issues in copyright procedures Digital watermarks are a set of techniques that are used to protect the copyright of digital content In this paper, a robust watermarking framework to embed a color watermark is presented To perform a color image as watermark, a method based on Discrete Cosine Transform (DCT) and Quantization Index Modulation (QIM) has been designed, besides, the color watermark is encoded in such a way that data to represent the colors are reduced Additionally, the coded watermark is embedded into the mid-frequency coefficients of DCT to ensure the robustness and imperceptibility of the watermark The efficiency of the proposed scheme against the most common attacks such as JPEG compression, impulsive and Gaussian noises, scaling, etc, has been tested in terms of Peak Signal-to-Noise Ratio (PSNR), Similarity Structural Index Measure (SSIM) and Normalized Correlation Coefficient (NCC) demonstrating good performance

A robust watermarking scheme to JPEG compression for embedding a color watermark into digital images

Currently, with the accelerated advance of information technologies, the use of digital video has been constantly growing, which has been applied in multiple fields of research like security, medicine, autonomous navigation, etc. Likewise, digital video processing tools have emerged, which can be used for beneficial or malicious purposes. Therefore, it has become a necessity to protect the integrity of digital video. During the last years, different schemes have been developed, which can detect the alterations in digital files, but the main disadvantage of these systems is that few of them are implemented in digital video, because these files require computational equipment with a high processing capacity. The present study presents a parallel framework for the detection of alterations in digital video, based on the embedding of a watermark in the frequency domain using the Discrete Wavelet Transform (DWT). The developed scheme appears to demonstrate full advantage of the processing capacity of each computer device. Also, the proposed method is developed to work in parallel on devices with multi-core processors. During the evaluation of the system, the PSNR (Peak Signal-to-Noise Ratio) was calculated to evaluate the quality of the protected file. The obtained results show that the protected videos are not visually degraded during the embedding of the watermark and the detection of alterations is performed correctly. Similarly, there is a significant reduction in processing time values when the algorithm is executed on computer with multi-core processors.

Oleksandr Pechenin

Papers

A robust watermarking scheme to JPEG compression for embedding a color watermark into digital images

Parallel scheme in multicore processors for video authentication based on watermarking