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David-Octavio Munoz-Ramirez

Bio: David-Octavio Munoz-Ramirez is an academic researcher from Instituto Politécnico Nacional. The author has contributed to research in topics: Discrete cosine transform & Color image. The author has an hindex of 1, co-authored 3 publications receiving 10 citations.

Papers
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Proceedings ArticleDOI
24 May 2018
TL;DR: A robust watermarking framework to embed a color watermark is presented and 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, Similarity Structural Index Measure and Normalized Correlation Coefficient demonstrating good performance.
Abstract: 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

12 citations

Proceedings ArticleDOI
01 Oct 2019
TL;DR: A new steganography framework to hide a 24 bits color image inside digital images, where the Discrete Cosine Transform (DCT) is employed to reduce the amount of data representing secret image, and later, this new information is embedded into the middle-frequency DCT coefficients of the cover image, using the Quantization Index Modulation Dither-Modulation (QIM-DM).
Abstract: In last years, steganography has been used for security purposes, the main idea is hide information inside some cover media, in such a way that it should be invisible to Human Visual System (HVS). In this paper, we propose a new steganography framework to hide a 24 bits color image inside digital images, where the Discrete Cosine Transform (DCT) is employed to reduce the amount of data representing secret image, and later, this new information is embedded into the middle-frequency DCT coefficients of the cover image, using the Quantization Index Modulation Dither-Modulation (QIM-DM). In experimental results, we have demonstrated that this technique supports JPEG compression attacks; also, the secret information is imperceptible to the human eye according to the obtained PSNR and SSIM values.

1 citations

Journal ArticleDOI
TL;DR: A watermarking framework to authenticate and protect the copyright that prevents the visualization of nonauthorized anaglyph images is proposed and its high robustness against the most common image processing attacks, such as JPEG compression, impulsive and Gaussian noises, etc. has been demonstrated.
Abstract: In this work, a watermarking framework to authenticate and protect the copyright that prevents the visualization of nonauthorized anaglyph images is proposed. Designed scheme embeds a binary watermark and the Blue channel of the anaglyph image into the discrete cosine transform domain of the original image. The proposed method applies the quantization index modulation-dither modulation algorithm and a combination of Bose-Chaudhuri-Hocquenghem with repetition codes, which permit to increase the capability in recovering the watermark. Additionally, Hash algorithm is used to scramble the component where the watermark should be embedding, guaranteeing a higher security performance of the scheme. This new technique prevents the visualization of 3D content to unauthorized users. Additionally, its high robustness against the most common image processing attacks, such as JPEG compression, impulsive and Gaussian noises, etc. has been demonstrated in this study.

1 citations


Cited by
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Proceedings ArticleDOI
22 Apr 2020
TL;DR: A novel parallel color image watermarking scheme in the frequency domain for copyright protection of Multiple Picture Object based on multithreading coding is proposed and 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.
Abstract: 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.

3 citations

Journal ArticleDOI
TL;DR: In this article , the authors describe the bridge by which the watermarking field has evolved from traditional technology to intelligent technologies based on deep learning and describe the advantages of using deep learning for image watermarkings.
Abstract: 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.

2 citations

Journal ArticleDOI
TL;DR: The experimental results show that the PSNR of the color image embedded with the QR code is 56.7159 without being attacked, which proves that the algorithm has good robustness and can achieve watermarks blind extraction.
Abstract: 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.

2 citations

Proceedings ArticleDOI
05 Oct 2021
TL;DR: In this article, different quantification variants are analyzed and optimized for a handwritten document image watermarking scheme and the results demonstrate that the embedded watermarks can be almost fully extracted from the JPEG-compressed images with high compression ratios.
Abstract: 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.

2 citations