• Title/Summary/Keyword: Watermark Extraction

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Block Based Blind & Secure Gray Image Watermarking Technique Based on Discrete Wavelet Transform and Singular Value Decomposition

  • Imran, Muhammad;Harvey, Bruce A.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.2
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    • pp.883-900
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    • 2017
  • In this paper block based blind secure gray image watermarking scheme based on discrete wavelet transform and singular value decomposition is proposed. In devising the proposed scheme, security is given high importance along with other two requirements: robustness and imperceptibility. The use of discrete wavelet transform not only improves robustness but the selection of bands with high tolerance towards noise caused an improvement in terms of imperceptibility. The robustness further improved due to the involvement of singular vectors along with singular values in watermark embedding and extraction process. Finally, to achieve security, the selected DWT band is decomposed into smaller blocks and random blocks are chosen for modification. Furthermore, the elements of left and right singular vectors of selected blocks are chosen based on their dependence upon each other for watermark embedding. Various experiments using different images as host and watermark were conducted to examine and validate the proposed technique. Additionally, the proposed technique is tested against various attacks like compression, affine transformation, cropping, translation, X shearing, scaling, Y shearing, filtering, blurring, different kinds of noises, histogram equalization, rotation, etc. Lastly, the proposed technique is compared with state-of-the-art watermarking techniques and their comparison shows significant improvement of proposed scheme over existing techniques.

Development of Audio Watermarking Technique using Group Quantization (그룹 양자화를 이용한 오디오 워터마킹 기술 개발)

  • Shin Seungwon;Park Changmok;Kim Jongweon;Choi Jonguk
    • Proceedings of the Acoustical Society of Korea Conference
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    • spring
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    • pp.323-326
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    • 2002
  • In this paper, we propose a watermarking technique that it is possible to winnow illegal contents from scattered contents on the internet. The identification is performed using an embedded unique content ID by the watermarking technique. The proposed watermarking technique accepts A/D-D/A conversion and a lot of lossy compression such as MP3, AAC, WMA and Real Audio. Watermark robustness is enabled using group quantization, selecting watermark inserting point, and error correction code. Test results show that the correct extraction is about $90\%$ and SNR is above $50\~60dB$. The above figures means that the proposed technique is able to extract encoded information at least one more times per audio and that it is very difficult to discriminate between a watermarked audio and a original audio.

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A Study on a Logo Extraction Algorithm for Copyright Protection of Digital Contents (디지털 컨텐츠의 저작권 보호를 위한 로고 검출 알고리즘에 관한 연구)

  • 최준기
    • Journal of the Korea Society of Computer and Information
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    • v.8 no.3
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    • pp.124-129
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    • 2003
  • Recently, on the internet, we need the protection methods of digital contents. To Protect web contents, we inserted a visible watermark but it could be removed easily and covered some place of original contents. In this paper, we proposed a logo detection algorithm that it insert an invisible logo watermark and extract after attacks. Previous works, it didn't show clearly. Experimental results show that it can be extracted all logo images after an attack. And it is proved that proposed scheme is an appropriate algorithm.

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An Iterative CRT Based Image Watermarking on DCT Domain

  • Choi, Ji-Su;Kim, Gye-Young
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.2
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    • pp.41-48
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    • 2019
  • Digital image watermarking techniques have been studied in various fields in order to protect the copyright of multimedia contents mostly composed by images. JPEG compression is a representative copyright attack for image watermarking. The CRT-based watermarking methods in DCT domain have been studied, because these are robust for JPEG compression attack. In this paper, we propose a new method with improved performance compared with the existing CRT based methods in DCT domain. The proposed method selects the DCT block according to the denseness at the watermark insertion phase, and iteratively adjust the CRT Conditional coefficients at the watermark extraction. This paper shows that it is more robust for the JPEG compression attacks through experimental results.

Robust Watermarking for Digital Images in Geometric Distortions Using FP-ICA of Secant Method (할선법의 FP-ICA를 이용한 기하학적 변형에 강건한 디지털영상 워터마킹)

  • Cho Yong-Hyun
    • The KIPS Transactions:PartB
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    • v.11B no.7 s.96
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    • pp.813-820
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    • 2004
  • This paper proposes a digital image watermarking which is robust to geometric distortions using an independent component analysis(ICA) of fixed-point(FP) algorithm based on secant method. The FP algorithm of secant method is applied for better performance in a separation time and rate, and ICA is applied to reject the prior knowledges for original image, key, and watermark such as locations and size, etc. The proposed method embeds the watermark into the spatial domain of original image The proposed watermarking technique has been applied to lena, key, and two watermarks(text and Gaussian noise) respectively. The simulation results show that the proposed method has higher speed and better rate for extracting the original images than the FP algorithm of Newton method. And the proposed method has a watermarking which is robust to geometric distortions such as resizing, rotation, and cropping. Especially, the watermark of images with Gaussian noise has better extraction performance than the watermark with text since Gaussian noise has lower correlation coefficient than the text to the original and key images. The watermarking of ICA doesn't require the prior knowledge for the original images.

Multiresolution Watermarking Scheme on DC Image in DCT Compressed Domain (DCT 압축영역에서의 DC 영상 기반 다해상도 워터마킹 기법)

  • Kim, Jung-Youn;Nam, Je-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.45 no.4
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    • pp.1-9
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    • 2008
  • This paper presents a rapid watermarking algorithm based on DC image, which provides a resilience to geometric distortion. Our proposed scheme is based on $8{\times}8$ block DCT that is widely used in image/video compression techniques (e.g., JPEG and MPEG). In particular, a DC image is analyzed by DWT to embed a watermark. To overcome a quality degradation caused by a watermark insertion into DC components, we discern carefully the intensity and amount of watermark along the different subbands of DWT. Note that the proposed technique supports a high throughput for a real-time watermark insertion and extraction by relying on a partial decoding (i.e., DC components) on $8{\times}8$ block DCT domain. Experimental result shows that the proposed watermarking scheme significantly reduces computation time of 82% compared with existing DC component based algorithm and yet provides invariant properties against various attacks such as geometric distortion and JPEG compression, etc.

Watermarking of Gray Logo & Color Image based on Human Visual System (인간시각 시스템 기반의 그레이로고 & 컬러 이미지의 워터마킹)

  • NOH Jin Soo;SHIN Kwang Gyu;RHEE Kang Hyeon
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.42 no.3 s.303
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    • pp.73-82
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    • 2005
  • Recently, The wide range of the Internet applications and the related technology developments enabled the ease use of the digital multimedia contents (fixed images, movies, digital audios). However, due to the replay ability which the contents may be easily duplicated and not only the duplicates are capable of providing the same original quality. There are mainly the encipher techniques and the watermarking techniques which are studied and used as solutions for the above problem in order to protect the license holders' rights. To the protection of the IP(Intellectual Property) rights of the owner, digital watermarking is the technique that authenticates the legal copyrighter. This paper proposed the watermarking algorithms to watermark the 256 gray logo image and the color image by applying the wavelet transformation to the color stand-still images. The proposed algorithms conducted the watermark insertion at the LH frequency region among the wavelet transformation regions (LL, LH, HL, HH). The interleaving algorithms which applied in data communication was applied to the watermark. the amount of watermark increased which consequently caused the PSNR to decrease but this might provide the perseverance against the external attacks such as extraction, filtering, and crop.

Watermark Extraction Using Motion Estimation of Frames (프레임 움직임 예측을 이용한 워터마크 추출)

  • 이혜주;강현수;홍진우
    • Proceedings of the IEEK Conference
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    • 2001.09a
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    • pp.205-208
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    • 2001
  • 비디오 워터마킹 기술은 비인지성, 안전성 및 강인성의 일반적인 요구조건 이외에 실시간 처리의 요구 조건들이 부가된다. 또한 공격에 있어서 프레임 정보를 이용한 워터마크 제거와 같은 공격이 가능하기 때문에 정지 영상과 비교하여 설계 시 많은 고려가 요구된다. 본 논문에서는 이진의 삽입 정보가 삽입된 비디오 데이터로부터 양극성 랜덤 계열을 이용하여 워터마크를 추출하는 경우에 비디오 프레임 간의 움직임 예측에 의해 구성된 프레임을 이용하여 추출 성능을 향상시키기 위한 추출 방법을 제안하였다. 제안 방식의 실험 결과로부터 움직임 예측을 이용하지 않은 결과와 비교하여 워터마크 추출 성능이 향상되었음을 확인하였다.

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An Efficient Audio Watermark Extraction in Time Domain (시간 영역에서의 효율적인 오디오 워터마크 추출)

  • Kang, Hea-Won;Jung, Sung-Hwan
    • Proceedings of the Korea Information Processing Society Conference
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    • 2003.11c
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    • pp.1937-1940
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    • 2003
  • 본 논문은 기존의 오디오 워터마킹 추출과정을 수정함으로써 원 신호의 영향을 크게 줄이고 추출과정에서 효율성을 높이는 방법을 제안한다. 즉, 추출과정에서 전 처리 과정으로 원 신호와 유사한 신호를 제거하기 위해 간단한 저주파 필터의 사용과, 워터마크의 반복삽입을 통해 추출의 효율성을 향상시킨다. 몇가지 실제 오디오 데이터를 이용하여 실험한 결과, 약 79%의 워터마크 검출율 개선을 얻었다.

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Watermarking for Digital Hologram by a Deep Neural Network and its Training Considering the Hologram Data Characteristics (딥 뉴럴 네트워크에 의한 디지털 홀로그램의 워터마킹 및 홀로그램 데이터 특성을 고려한 학습)

  • Lee, Juwon;Lee, Jae-Eun;Seo, Young-Ho;Kim, Dong-Wook
    • Journal of Broadcast Engineering
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    • v.26 no.3
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    • pp.296-307
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    • 2021
  • A digital hologram (DH) is an ultra-high value-added video content that includes 3D information in 2D data. Therefore, its intellectual property rights must be protected for its distribution. For this, this paper proposes a watermarking method of DH using a deep neural network. This method is a watermark (WM) invisibility, attack robustness, and blind watermarking method that does not use host information in WM extraction. The proposed network consists of four sub-networks: pre-processing for each of the host and WM, WM embedding watermark, and WM extracting watermark. This network expand the WM data to the host instead of shrinking host data to WM and concatenate it to the host to insert the WM by considering the characteristics of a DH having a strong high frequency component. In addition, in the training of this network, the difference in performance according to the data distribution property of DH is identified, and a method of selecting a training data set with the best performance in all types of DH is presented. The proposed method is tested for various types and strengths of attacks to show its performance. It also shows that this method has high practicality as it operates independently of the resolution of the host DH and WM data.