• Title/Summary/Keyword: Quantization Index Modulation

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Development of a Robust Multiple Audio Watermarking Using Improved Quantization Index Modulation and Support Vector Machine (개선된 QIM과 SVM을 이용한 공격에 강인한 다중 오디오 워터마킹 알고리즘 개발)

  • Seo, Ye-Jin;Cho, San-Gjin;Chong, Ui-Pil
    • Journal of the Institute of Convergence Signal Processing
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    • v.16 no.2
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    • pp.63-68
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    • 2015
  • This paper proposes a robust multiple audio watermarking algorithm using improved QIM(quantization index modulation) with adaptive stepsize for different signal power and SVM(support vector machine) decoding model. The proposed algorithm embeds watermarks into both frequency magnitude response and frequency phase response using QIM. This multiple embedding method can achieve a complementary robustness. The SVM decoding model can improve detection rate when it is not sure whether the extracted data are the watermarks or not. To evaluate robustness, 11 attacks are employed. Consequently, the proposed algorithm outperforms previous multiple watermarking algorithm, which is identical to the proposed one but without SVM decoding model, in PSNR and BER. It is noticeable that the proposed algorithm achieves improvements of maximum PSNR 7dB and BER 10%.

Audio Watermarking Using Quantization Index Modulation on Significant Peaks in Frequency Domain (주파수 영역에서 주요 피크에 QIM을 적용한 오디오 워터마킹)

  • Kang, Jung-Sun;Cho, Sang-Jin
    • The Journal of the Acoustical Society of Korea
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    • v.30 no.6
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    • pp.303-307
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    • 2011
  • This paper describes an audio watermarking using Quantization Index Modulation (QIM) on significant peaks in frequency domain. The audio signal is broken up into L samples length frames with non-overlapping and rectangular window. The zero-crossing rate of each frame is calculated for decision whether it is proper to be watermarked or not. If the frame is legitimate, frequency magnitude response is computed by discrete Fourier transform. For the QIM, we set the quantization step size based on maximum value of frequency magnitude response and select n significant peaks with w samples around them in frequency domain, totally $n{\times}(w+1)$ samples. Finally, watermark embedding is performed. Decoder extract watermarks based on Euclidean distance, that is a blind detection. The proposed method is robust against many attacks of watermark benchmark.

AN IMPROVED JPEG2000 STEGANOGRAPHY USING QIM AND ITS EVALUATION BY STEGANALYSIS

  • Ishida, Takayuki;Yamawaki, Kazumi;Noda, Hideki;Niimi, Michiharu
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.466-469
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    • 2009
  • This paper presents a modified QIM-JPEG2000 steganography which improves the previous JPEG2000 steganography using quantization index modulation (QIM). Post-embedding changes in file size and PSNR by the modified QIM-JPEG2000 are smaller than those by the previous QIM-JPEG2000. Steganalysis experiments to determine whether messages are embedded in given JPEG2000 images show that the modified QIM-JPEG2000 is more secure than the previous QIMJPEG2000.

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Multiple Audio Watermarking using Quantization Index Modulation on Frequency Phase and Magnitude Response (주파수 위상 응답과 크기 응답에 QIM을 이용한 다중 오디오 워터마킹)

  • Seo, Yejin;Cho, Sangjin;Chong, Uipil
    • The Journal of the Acoustical Society of Korea
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    • v.32 no.1
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    • pp.71-78
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    • 2013
  • This paper describes a multiple audio watermarking using Quantization Index Modulation (QIM) on frequency phase and magnitude response. Proposed embedding procedure is composed of two stage. At the first stage, the watermark is embedded on the frequency phase response using QIM. In the second stage, the watermark is embedded using adaptive QIM with the step-size that is adaptively determined using the maximum value of the frequency magnitude response of every frame. The watermark is extracted by calculating the Euclidean distance as the blind detection. The proposed method is robust against most of attacks of audio watermark benchmarking. For the Fourier attacks, the proposed method shows over 95% recovery rate.

An Efficient Selective Method for Audio Watermarking Against De-synchronization Attacks

  • Mushgil, Baydaa Mohammad;Adnan, Wan Azizun Wan;Al-hadad, Syed Abdul-Rahman;Ahmad, Sharifah Mumtazah Syed
    • Journal of Electrical Engineering and Technology
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    • v.13 no.1
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    • pp.476-484
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    • 2018
  • The high capacity audio watermarking algorithms are facing a main challenge in satisfying the robustness against attacks especially on de-synchronization attacks. In this paper, a robust and a high capacity algorithm is proposed using segment selection, Stationary Wavelet Transform (SWT) and the Quantization Index Modulation (QIM) techniques along with new synchronization mechanism. The proposed algorithm provides enhanced trade-off between robustness, imperceptibility, and capacity. The achieved watermarking improves the reliability of the available watermarking methods and shows high robustness towards signal processing (manipulating) attacks especially the de-synchronization attacks such as cropping, jittering, and zero inserting attacks. For imperceptibility evaluation, high signal to noise ratio values of above 22 dB has been achieved. Also subjective test with volunteer listeners shows that the proposed method has high imperceptibility with Subjective Difference Grade (SDG) of 4.76. Meanwhile, high rational capacity up to 176.4 bps is also achieved.

A Study on Optimizing Quantization Steps for QIM Watermarking Schemes (QIM 워터마킹 방식에서의 양자화 구간 간격 최적화에 관한 연구)

  • Lee, Yun-Ho;Lee, Kwang-Woo;Kim, Seung-Joo;Yang, Hyung-Kyu;Won, Dong-Ho
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.16 no.1
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    • pp.45-53
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    • 2006
  • In this paper, we propose a method for enlarging quantization steps of a QIM watermarking scheme which determines the perceptual quality and robustness of the watermarked images. In general, increasing the quantization steps leads to good robustness but poor perceptual quality of watermarked images and vice versa. However, if we choose the quantization steps considering the expected quantization results as well as the original images, we can increase both robustness and perceptual quality of the watermarked images.

Quantization Index Modulation Data Hiding Algorithm robust against Image Format Variation (이미지 포맷변환에 강인한 양자화 인덱스 변조 기반의 정보은닉 알고리즘)

  • Baik, Jong Hyun;Shin, Jeong Hwan;Heo, Jun
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2011.07a
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    • pp.25-27
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    • 2011
  • 본 논문에서는 이미지 블록의 평균 픽셀 값 특성을 양자화 인덱스 변조 기법에 적용하여 이미지 포맷변환에 강인한 정보은닉 기법을 제안한다. 포맷변환에 강인한 이미지 속성은 정규화된 픽셀 히스토그램에 기반하여 분석되며, 그 중 평균 픽셀 값을 통해 정보은닉 알고리즘이 구성된다. 평균 픽셀 값을 양자화 인덱스 변조기법에 적용하기 위한 방안으로 DCT 계수를 정규화 하는 방법이 선택되며, 추출 성공률을 높이기 위해 오류정정부호가 사용된다. 따라서 본 논문의 알고리즘을 통해 결합 이미지가 압축, 사이즈 변화 등의 과정을 거치게 될 경우 발생하는 문제점을 극복할 수 있다.

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A Study on Image Coding using the Human Visual System and DCT (시각특성과 DCT를 이용한 영상부호화에 관한 연구)

  • 남승진;최성남;전중남;박규태
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.17 no.4
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    • pp.323-335
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    • 1992
  • In this paper, an adaptive cosine transform coding scheme which incorporate human visual properties into the coding scheme is investigated. Human vision is relatively sensitive to mid-frequency band, and insensitive to very low and very high frequency band. These property was mathematically modelled with MTF(Modulation Transfer Function) through many psychovisual experiment. DCT transforms energy in spatial domain into frequency domain, so can exploit the MTF very efficiently. Another well-known visual characteristics is spatial masking effect that visibility of noise is less in regions of high activity than in regions of low activity. Proposed coding scheme imploys quantization matrix which represent the properties of these spatial frequency response of human vision, and adaptively quality of an image. To compute the activity index of an image block, simple operation is performed in spatial domain, and according to activity index. block of low activity region is more exactly quantized relatively than that of high activity region. Results showed that, at low bit rate, the subjective quality of the reconstructed images by proposed coding scheme is acceptible than that of coding scheme without HVS properties.

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An Empirical Digital Image Watermarking using Frequency Properties of DWT (DWT의 주파수 특성을 이용한 실험적 디지털 영상 워터마킹)

  • Kang, I-Seul;Lee, Yong-Seok;Seob), Young-Ho;Kim, Dong-Wook
    • Journal of Broadcast Engineering
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    • v.22 no.3
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    • pp.295-312
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    • 2017
  • Digital video content is the most information-intensive and high-value content. Therefore, it is necessary to protect the intellectual property rights of these contents, and this paper also proposes a watermarking method of digital image for this purpose. The proposed method uses the frequency characteristics of 2-Dimensional Discrete Wavelet Transform (2D-DWT) for digital images and digital watermark on global data without using local or specific data of the image for watermark embedding. The method to insert digital watermark data uses a simple Quantization Index Modulation (QIM) and a multiple watermarking method that inserts the same watermark data in multiple. When extracting a watermark, multiple watermarks are extracted and the final watermark data is determined by a simple statistical method. This method is an empirical method for experimentally determining the parameters in the watermark embedding process. The proposed method performs experiments on various images against various attacks and shows the superiority of the proposed method by comparing the performance with the representative existing methods.

High-Capacity and Robust Watermarking Scheme for Small-Scale Vector Data

  • Tong, Deyu;Zhu, Changqing;Ren, Na;Shi, Wenzhong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.12
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    • pp.6190-6213
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    • 2019
  • For small-scale vector data, restrictions on watermark scheme capacity and robustness limit the use of copyright protection. A watermarking scheme based on robust geometric features and capacity maximization strategy that simultaneously improves capacity and robustness is presented in this paper. The distance ratio and angle of adjacent vertices are chosen as the watermark domain due to their resistance to vertex and geometric attacks. Regarding watermark embedding and extraction, a capacity-improved strategy based on quantization index modulation, which divides more intervals to carry sufficient watermark bits, is proposed. By considering the error tolerance of the vector map and the numerical accuracy, the optimization of the capacity-improved strategy is studied to maximize the embedded watermark bits for each vertex. The experimental results demonstrated that the map distortion caused by watermarks is small and much lower than the map tolerance. Additionally, the proposed scheme can embed a copyright image of 1024 bits into vector data of 150 vertices, which reaches capacity at approximately 14 bits/vertex, and shows prominent robustness against vertex and geometric attacks for small-scale vector data.