• 제목/요약/키워드: Invisibility

검색결과 163건 처리시간 0.028초

인간 시각 시스템에 기반 한 JPEG 영상의 디지털 워터마킹 (Digital Watermarking of JPEG Image Based on Human Visual System)

  • 배성호
    • 정보처리학회논문지B
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    • 제11B권2호
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    • pp.125-132
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    • 2004
  • 본 논문에서는 DCT 변환 영역에서 인간 시각의 민감도에 따른 워터마크의 삽입과 원 DCT 계수의 왜곡을 최소화시키는 워터마크의 삽입방법을 제안한다. 제안한 방법은 JPEG 영상 압축에 적합한 인간 시각 시스템에 따라 블록을 재정렬하여 인간 시각에 둔감한 블록에 보다 강한 워터마크를 삽입시킨다. 또한 블록 내에서는 원 DCT 계수의 왜곡을 최소화시키는 워터마크를 삽입함으로서 높은 압축율에서도 비가시성과 견고성을 향상시킨다. 실험을 통하여 제안한 방법이 기존의 워터마킹 방법과 비교하여 높은 화질을 유지하면서 높은 압축율 에서도 견고성이 우수함을 확인하였다.

A Watermarking Scheme for Shapefile-Based GIS Digital Map Using Polyline Perimeter Distribution

  • Huo, Xiao-Jiao;Lee, Suk-Hwan;Kwon, Seong-Geun;Moon, Kwan-Seok;Kwon, Ki-Ryong
    • 한국멀티미디어학회논문지
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    • 제14권5호
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    • pp.595-606
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    • 2011
  • This paper proposes a robust watermarking scheme for GIS digital map by using the geometric properties of polyline and polygon, which are the fundamental components in vector data structure. In the proposed scheme, we calculate the lengths and the perimeters of all polylines and polygons in a map and cluster them to a number of groups. Then we embed the binary watermark by changing the mean of lengths and perimeters in an embedding group. For improving the safety and robustness, we permute the binary watermark through PRNS(pseudo-random number sequence) processing and embed it repeatedly in a model. Experimental results verified that our scheme has a good invisibility, safety and robustness to various geometric attacks and also our scheme needs not the original map in the extracting process of watermark.

Interface monitoring of steel-concrete-steel sandwich structures using piezoelectric transducers

  • Yan, Jiachuan;Zhou, Wensong;Zhang, Xin;Lin, Youzhu
    • Nuclear Engineering and Technology
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    • 제51권4호
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    • pp.1132-1141
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    • 2019
  • Steel-concrete-steel (SCS) sandwich structures have important advantages over conventional concrete structures, however, bond-slip between the steel plate and concrete may lead to a loss of composite action, resulting in a reduction of stiffness and fatigue life of SCS sandwich structures. Due to the inaccessibility and invisibility of the interface, the interfacial performance monitoring and debonding detection using traditional measurement methods, such as relative displacement between the steel plate and core concrete, have proved challenging. In this work, two methods using piezoelectric transducers are proposed to detect the bond-slip between steel plate and core concrete during the test of the beam. The first one is acoustic emission (AE) method, which can detect the dynamic process of bond-slip. AE signals can be detected when initial micro cracks form and indicate the damage severity, types and locations. The second is electromechanical impedance (EMI) method, which can be used to evaluate the damage due to bond-slip through comparing with the reference data in static state, even if the bond-slip is invisible and suspends. In this work, the experiment is implemented to demonstrate the bond-slip monitoring using above methods. Experimental results and further analysis show the validity and unique advantage of the proposed methods.

Medical Image Watermarking Based on Visual Secret Sharing and Cellular Automata Transform for Copyright Protection

  • Fan, Tzuo-Yau;Chao, Her-Chang;Chieu, Bin-Chang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권12호
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    • pp.6177-6200
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    • 2018
  • In order to achieve the goal of protecting medical images, some existing watermark techniques for medical image protection mainly focus on improving the invisibility and robustness properties of the method, in order to prevent unnecessary medical disputes. This paper proposes a novel copyright method for medical image protection based on visual secret sharing (VSS) and cellular automata transform (CAT). This method uses the protected medical image feature as well as VSS and a watermark to produce the ownership share image (OSI). The OSI is used for medical image verification and must be registered to a certified authority. In the watermark extraction process, the suspected medical image is used to generate a master share image (MSI). The watermark can be extracted by combining the MSI and the OSI. Different from other traditional methods, the proposed method does not need to modify the medical image in order to protect the copyright of the image. Moreover, the registered OSI used to verify the ownership and its appearance display meaningful information, facilitating image management. Finally, the results of the final experiment can prove the effectiveness of our method.

Robust Image Watermarking via Perceptual Structural Regularity-based JND Model

  • Wang, Chunxing;Xu, Meiling;Wan, Wenbo;Wang, Jian;Meng, Lili;Li, Jing;Sun, Jiande
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권2호
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    • pp.1080-1099
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    • 2019
  • A better tradeoff between robustness and invisibility will be realized by using the just noticeable (JND) model into the quantization-based watermarking scheme. The JND model is usually used to describe the perception characteristics of human visual systems (HVS). According to the research of cognitive science, HVS can adaptively extract the structure features of an image. However, the existing JND models in the watermarking scheme do not consider the structure features. Therefore, a novel JND model is proposed, which includes three aspects: contrast sensitivity function, luminance adaptation, and contrast masking (CM). In this model, the CM effect is modeled by analyzing the direction features and texture complexity, which meets the human visual perception characteristics and matches well with the spread transform dither modulation (STDM) watermarking framework by employing a new method to measure edge intensity. Compared with the other existing JND models, the proposed JND model based on structural regularity is more efficient and applicable in the STDM watermarking scheme. In terms of the experimental results, the proposed scheme performs better than the other watermarking scheme based on the existing JND models.

Copyright Protection for Digital Image by Watermarking Technique

  • Ali, Suhad A.;Jawad, Majid Jabbar;Naser, Mohammed Abdullah
    • Journal of Information Processing Systems
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    • 제13권3호
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    • pp.599-617
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    • 2017
  • Due to the rapid growth and expansion of the Internet, the digital multimedia such as image, audio and video are available for everyone. Anyone can make unauthorized copying for any digital product. Accordingly, the owner of these products cannot protect his ownership. Unfortunately, this situation will restrict any improvement which can be done on the digital media production in the future. Some procedures have been proposed to protect these products such as cryptography and watermarking techniques. Watermarking means embedding a message such as text, the image is called watermark, yet, in a host such as a text, an image, an audio, or a video, it is called a cover. Watermarking can provide and ensure security, data authentication and copyright protection for the digital media. In this paper, a new watermarking method of still image is proposed for the purpose of copyright protection. The procedure of embedding watermark is done in a transform domain. The discrete cosine transform (DCT) is exploited in the proposed method, where the watermark is embedded in the selected coefficients according to several criteria. With this procedure, the deterioration on the image is minimized to achieve high invisibility. Unlike the traditional techniques, in this paper, a new method is suggested for selecting the best blocks of DCT coefficients. After selecting the best DCT coefficients blocks, the best coefficients in the selected blocks are selected as a host in which the watermark bit is embedded. The coefficients selection is done depending on a weighting function method, where this function exploits the values and locations of the selected coefficients for choosing them. The experimental results proved that the proposed method has produced good imperceptibility and robustness for different types of attacks.

컨투어렛 변환 기반의 다중 워터마킹 기법 (Multipurpose Watermarking Scheme Based on Contourlet Transform)

  • 김지훈;이석환;박승섭;김지홍;오세웅;서용수;권기룡
    • 한국멀티미디어학회논문지
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    • 제12권7호
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    • pp.929-940
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    • 2009
  • 본 논문에서는 컨투어렛 변환 영역 상에서 저작권 보호, 인증 및 변형 검출 등을 위한 다중 목적의 워터마킹 기법을 제안한다. 컨투어렛 변환은 웨이블릿 변환보다 다방향성의 에지 및 부드러운 윤곽선 검출 성능이 보다 우수하여 제안한 방법에서는 4레벨 라플라시안 피라미드와 2 레벨 방향성 필터 뱅크를 이용한 컨투어렛 변환 영역 상에서 워터마크를 삽입한다. 먼저 제안한 방법의 첫 번째 단계에서는 저작권 보호를 위한 강인성 워터마킹 기법으로 워터마크 비트에 따라 원 패턴의 시퀀스를 생성하여, 이들 시퀀스 형태로 방향성 고주파 대역의 평균 계수 대역 내에 투영한다. 그리고 투영된 계수들의 분산 분포에 워터마크 비트를 각각 삽입한다. 그리고 두 번째 단계에서는 인증 및 변형 검출을 위한 준연약성 워터마킹 기법으로써, 최상위 레벨의 저주파 대역 내에 이진 워터마크 영상을 적응적 양자화기에 의하여 삽입한다. Checkmark 2.1를 이용한 평가 실험에서 제안한 방법이 기존의 방법에 비하여 강인성 및 비가시성이 보다 우수함을 확인하였다.

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반투명 콘크리트의 제조기법 개발과 무기혼화재 혼입에 따른 역학적 특성 (Development of Fabrication Method for Translucent Concrete and the Material Characteristics Associated with the Use of Mineral Admixture)

  • 김상철
    • 한국건설순환자원학회논문집
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    • 제6권3호
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    • pp.69-78
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    • 2011
  • 최근 콘크리트제품에 대한 고급화, 고품질화 및 고강도화 등의 추구로 변화함에 따라 구조물의 미적효과와 전시 목적의 제품 고급화를 위해 반투명 콘크리트를 제작하였다. 본 연구에서는 반투명 콘크리트의 제조기법 개발을 통해 다양한 형상의 블록 제조방식을 소개하고, 또한 반투명 콘크리트의 물성 평가와 더불어 경제적인 반투명 콘크리트 제조를 위해 무기혼화재인 고로슬래그와 플라이애시의 활용 및 유리알갱이의 적용방안에 대해 검토하였다. 물성평가 결과, 반투명 콘크리트 블록의 28일 압축강도는 32.2MPa이고 탄성계수와 푸아송비는 일반 콘크리트 블록에 비해 증가되어 압축을 받는 부재일 경우 일반 콘크리트 구조물과 같이 구조적 용도로도 사용이 가능하다는 것을 알 수 있었다. 시멘트 대체재로써 플라이애시 적용하였을 때 동일 양의 광섬유를 포함한 반투명 콘크리트 블록의 28일 강도의 85~96%의 값을 보였으며, 고로슬래그 미분말을 적용하였을 때에는 82~96%의 값을 보였다. 또한, 광섬유대체재로서 유리알갱이를 적용한 결과, 빛의 투과효과가 전혀 나타나지 않아 대체효과가 전혀 없는 것으로 나타났다.

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Geometrically Invariant Image Watermarking Using Connected Objects and Gravity Centers

  • Wang, Hongxia;Yin, Bangxu;Zhou, Linna
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제7권11호
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    • pp.2893-2912
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    • 2013
  • The design of geometrically invariant watermarking is one of the most challenging work in digital image watermarking research area. To achieve the robustness to geometrical attacks, the inherent characteristic of an image is usually used. In this paper, a geometrically invariant image watermarking scheme using connected objects and gravity center is proposed. First, the gray-scale image is converted into the binary one, and the connected objects according to the connectedness of binary image are obtained, then the coordinates of these connected objects are mapped to the gray-scale image, and the gravity centers of those bigger objects are chosen as the feature points for watermark embedding. After that, the line between each gravity center and the center of the whole image is rotated an angle to form a sector, and finally the same version of watermark is embedded into these sectors. Because the image connectedness is topologically invariant to geometrical attacks such as scaling and rotation, and the gravity center of the connected object as feature points is very stable, the watermark synchronization is realized successfully under the geometrical distortion. The proposed scheme can extract the watermark information without using the original image or template. The simulation results show the proposed scheme has a good invisibility for watermarking application, and stronger robustness than previous feature-based watermarking schemes against geometrical attacks such as rotation, scaling and cropping, and can also resist common image processing operations including JPEG compression, adding noise, median filtering, and histogram equalization, etc.

High-Capacity Robust Image Steganography via Adversarial Network

  • Chen, Beijing;Wang, Jiaxin;Chen, Yingyue;Jin, Zilong;Shim, Hiuk Jae;Shi, Yun-Qing
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권1호
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    • pp.366-381
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    • 2020
  • Steganography has been successfully employed in various applications, e.g., copyright control of materials, smart identity cards, video error correction during transmission, etc. Deep learning-based steganography models can hide information adaptively through network learning, and they draw much more attention. However, the capacity, security, and robustness of the existing deep learning-based steganography models are still not fully satisfactory. In this paper, three models for different cases, i.e., a basic model, a secure model, a secure and robust model, have been proposed for different cases. In the basic model, the functions of high-capacity secret information hiding and extraction have been realized through an encoding network and a decoding network respectively. The high-capacity steganography is implemented by hiding a secret image into a carrier image having the same resolution with the help of concat operations, InceptionBlock and convolutional layers. Moreover, the secret image is hidden into the channel B of carrier image only to resolve the problem of color distortion. In the secure model, to enhance the security of the basic model, a steganalysis network has been added into the basic model to form an adversarial network. In the secure and robust model, an attack network has been inserted into the secure model to improve its robustness further. The experimental results have demonstrated that the proposed secure model and the secure and robust model have an overall better performance than some existing high-capacity deep learning-based steganography models. The secure model performs best in invisibility and security. The secure and robust model is the most robust against some attacks.