• Title/Summary/Keyword: reversible data embedding

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Reversible and High-Capacity Data Hiding in High Quality Medical Images

  • Huang, Li-Chin;Hwang, Min-Shiang;Tseng, Lin-Yu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.1
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    • pp.132-148
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    • 2013
  • Via the Internet, the information infrastructure of modern health care has already established medical information systems to share electronic health records among patients and health care providers. Data hiding plays an important role to protect medical images. Because modern medical devices have improved, high resolutions of medical images are provided to detect early diseases. The high quality medical images are used to recognize complicated anatomical structures such as soft tissues, muscles, and internal organs to support diagnosis of diseases. For instance, 16-bit depth medical images will provide 65,536 discrete levels to show more details of anatomical structures. In general, the feature of low utilization rate of intensity in 16-bit depth will be utilized to handle overflow/underflow problem. Nowadays, most of data hiding algorithms are still experimenting on 8-bit depth medical images. We proposed a novel reversible data hiding scheme testing on 16-bit depth CT and MRI medical image. And the peak point and zero point of a histogram are applied to embed secret message k bits without salt-and-pepper.

Reversible Watermarking Based on Compensation

  • Qu, Xiaochao;Kim, Suah;Kim, Hyoung Joong
    • Journal of Electrical Engineering and Technology
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    • v.10 no.1
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    • pp.422-428
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    • 2015
  • This paper proposes a high performance reversible watermarking (RW) scheme based on a novel compensation strategy. RW embeds data into a host image by modifying its pixel values slightly. It is found that certain modified pixels can be compensated to their original values during the proposed embedding procedure. The compensation effect in the RW scheme can improve the marked image quality significantly. By incorporating the pixel selection method, a higher quality image is obtained, which is verified by extensive experiments.

Reversible DNA Watermarking Technique Using Histogram Shifting for Bio-Security (바이오 정보보호 위한 히스토그램 쉬프팅 기반 가역성 DNA 워터마킹 기법)

  • Lee, Suk-Hwan;Kwon, Seong-Geun;Lee, Eung-Joo;Kwon, Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.20 no.2
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    • pp.244-253
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    • 2017
  • Reversible DNA watermarking is capable of continuous DNA storage and forgery prevention, and has the advantage of being able to analyze biological mutation processes by external watermarking by iterative process of concealment and restoration. In this paper, we propose a reversible DNA watermarking method based on histogram multiple shifting of noncoding DNA sequence that can prevent false start codon, maintain original sequence length, maintain high watermark capacity without biologic mutation. The proposed method transforms the non-coding region DNA sequence to the n-th code coefficients and embeds the multiple bits of the n-th code coefficients by the non-recursive histogram multiple shifting method. The multi-bit embedding process prevents the false start codon generation through comparison search between adjacent concealed nucleotide sequences. From the experimental results, it was confirmed that the proposed method has higher watermark capacity of 0.004-0.382 bpn than the conventional method and has higher watermark capacity than the additional data. Also, it was confirmed that false start codon was not generated unlike the conventional method.

Reversible Data Hiding Based on the Histogram Modification of Difference Image (차분 영상 히스토그램 수정 기반의 가역 데이터 은닉 기법)

  • Yoo, Hyang-Mi;Lee, Sang-Kwang;Suh, Jae-Won
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.2
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    • pp.32-40
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    • 2011
  • Reversible data hiding, which can recover the original image without any distortion after the extraction of the hidden data, has drawn considerable attention in recent years. However, underflow and overflow problems have occurred occasionally in the embedded image. To overcome these problems, we propose a new reversible data hiding algorithm which embeds a compressed location map used to identify these underflow and overflow points. In addition, the proposed algorithm allows for multilevel data hiding to increase the hiding capacity. The simulation results demonstrate that the proposed algorithm generates good performances in the PSNR, the embedding capacity, and the size of side information.

Reversible Secret Sharing Scheme Using Symmetric Key Encryption Algorithm in Encrypted Images (암호화된 이미지에서 대칭키 암호화 알고리듬을 이용한 가역 비밀이미지 공유 기법)

  • Jeon, Byoung-Hyun;Shin, Sang-Ho;Jung, Ki-Hyun;Lee, Joon-Ho;Yoo, Kee-Young
    • Journal of Korea Multimedia Society
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    • v.18 no.11
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    • pp.1332-1341
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    • 2015
  • This paper proposes a novel reversible secret sharing scheme using AES algorithm in encrypted images. In the proposed scheme, a role of the dealer is divided into an image provider and a data hider. The image provider encrypts the cover image with a shared secret key and sends it to the dealer. The dealer embeds the secret data into the encrypted image and transmits encrypted shadow images to the corresponding participants. We utilize Galois polynomial arithmetic operation over 28 and the coefficient of the higher-order term is fixed to one in order to prevent the overflow. In experimental results, we demonstrate that the PSNR is sustained close to 44dB and the embedding capacity is 524,288 bits.

A novel Reversible Data Hiding Scheme based on Modulo Operation and Histogram Shifting (모듈러 연산과 히스토그램 이동에 기반한 새로운 가역 정보 은닉 기법)

  • Kim, Dae-Soo;Yoo, Kee-Young
    • Journal of Korea Multimedia Society
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    • v.15 no.5
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    • pp.639-650
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    • 2012
  • In 2009, Tsai et al. proposed reversible image hiding scheme using linear prediction coding and histogram shifting. Tsai et al.'s scheme improved the hiding capacity of Ni et al.'s scheme by using the prediction coding and two histograms. However, Tsai et al.'s scheme has problems. In the prediction coding, the basic pixel is not used from embedding procedure. Many additional communication data are generated because two peak and zero point pairs are generated by each block. To solve the problems, this paper proposes a novel reversible data hiding scheme based on modulo operation and histogram shifting. In experimental results, the hiding capacity was increased by 28% than Tsai et al.'s scheme. However, the additional communication data was decreased by 71%.

An Evaluation of Reversible Data Embedding Algorithm using Haar Wavelet Transform (Haar 웨이블릿 변환을 이용한 가역적 데이터 삽입 알고리즘의 성능 평가)

  • 오인정;김민수;박하중;정현열;정호열
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2003.06a
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    • pp.34-37
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    • 2003
  • 본 논문에서는 가역변환 (reversible transform)에 기반을 둔 가역 워터마킹 기법에 관해 기술한다. 워터마크를 삽입한 후 원본 데이터에 영구적으로 남아있는 기존의 워터마킹 기법과는 달리 가역 워터마킹 기법의 경우, 컨텐츠의 인증이 이루어진 후 삽입되었던 워터마크 신호를 컨텐츠로부터 제거함으로써, 원 영상을 화소단위로 무손실 복원할 수 있는 특징이 있다. 본 논문에서는 가역 변환인 Haar 웨이블릿 변환(Haar Wavelet Transform) 이용하여 원 영상을 변환한 후 웨이블릿 계수를 이용하여 워터마크를 삽입 및 추출한다. 이러한 가역워터마킹 기법은 판사 목적의 영상 혹은 의료영상과 같은 민감한 영상신호처리가 요구되는 분야로 응용될 수 있을 것이다.

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A New Reference Pixel Prediction for Reversible Data Hiding with Reduced Location Map

  • Chen, Jeanne;Chen, Tung-Shou;Hong, Wien;Horng, Gwoboa;Wu, Han-Yan;Shiu, Chih-Wei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.3
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    • pp.1105-1118
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    • 2014
  • In this paper, a new reversible data hiding method based on a dual binary tree of embedding levels is proposed. Four neighborhood pixels in the upper, below, left and right of each pixel are used as reference pixels to estimate local complexity for deciding embeddable and non-embeddable pixels. The proposed method does not need to record pixels that might cause underflow, overflow or unsuitable for embedment. This can reduce the size of location map and release more space for payload. Experimental results show that the proposed method is more effective in increasing payload and improving image quality than some recently proposed methods.

Data Hiding Method Utilizing Skipping Based Hybrid Histogram Shifting (도약기반의 하이브리드 히스토그램 시프팅을 이용하는 데이터 은닉 방법)

  • Choi, YongSoo;Lee, DalHo
    • Journal of Digital Contents Society
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    • v.19 no.2
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    • pp.371-376
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    • 2018
  • In the system security technology, the information hiding field is developed as technologies for embedding information, which are generally used as contents media. The proposed technique is a technical steganography technique which uses a technique of concealing certain information through physical / statistical change of signal values of contents. Recently, there have been various studies based on histogram shifting in reversible data concealment. In multi - peak histogram shifting, the capacity of data concealment gradually increased by applying multiple peak histogram method. In this paper, we analyze the effect of concealment in terms of adopting the histogram shift method including skipping. In addition, we propose multi - branch data concealment as a general method to improve concealment capacity. The above proposal has proved to be an example using mathematical expressions, and further improvement measures could be derived.

Least Square Prediction Error Expansion Based Reversible Watermarking for DNA Sequence (최소자승 예측오차 확장 기반 가역성 DNA 워터마킹)

  • Lee, Suk-Hwan;Kwon, Seong-Geun;Kwon, Ki-Ryong
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.11
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    • pp.66-78
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    • 2015
  • With the development of bio computing technology, DNA watermarking to do as a medium of DNA information has been researched in the latest time. However, DNA information is very important in biologic function unlikely multimedia data. Therefore, the reversible DNA watermarking is required for the host DNA information to be perfectively recovered. This paper presents a reversible DNA watermarking using least square based prediction error expansion for noncodng DNA sequence. Our method has three features. The first thing is to encode the character string (A,T,C,G) of nucleotide bases in noncoding region to integer code values by grouping n nucleotide bases. The second thing is to expand the prediction error based on least square (LS) as much as the expandable bits. The last thing is to prevent the false start codon using the comparison searching of adjacent watermarked code values. Experimental results verified that our method has more high embedding capacity than conventional methods and mean prediction method and also makes the prevention of false start codon and the preservation of amino acids.