• 제목/요약/키워드: Reversible Embedding

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New reversible data hiding algorithm based on difference expansion method

  • Kim, Hyoung-Joong;Sachnev, Vasiliy;Kim, Dong-Hoi
    • 방송공학회논문지
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    • 제12권2호
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    • pp.112-119
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    • 2007
  • Reversible data embedding theory has marked a new epoch for data hiding and information security. Being reversible, the original data and the embedded data as well should be completely restored. Difference expansion transform is a remarkable breakthrough in reversible data hiding scheme. The difference expansion method achieves high embedding capacity and keeps the distortion low. This paper shows that the difference expansion method with simplified location map, and new expandability and changeability can achieve more embedding capacity while keeping the distortion almost the same as the original expansion method.

Histogram-based Reversible Data Hiding Based on Pixel Differences with Prediction and Sorting

  • Chang, Ya-Fen;Tai, Wei-Liang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제6권12호
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    • pp.3100-3116
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    • 2012
  • Reversible data hiding enables the embedding of messages in a host image without any loss of host content, which is proposed for image authentication that if the watermarked image is deemed authentic, we can revert it to the exact copy of the original image before the embedding occurred. In this paper, we present an improved histogram-based reversible data hiding scheme based on prediction and sorting. A rhombus prediction is employed to explore the prediction for histogram-based embedding. Sorting the prediction has a good influence on increasing the embedding capacity. Characteristics of the pixel difference are used to achieve large hiding capacity while keeping low distortion. The proposed scheme exploits a two-stage embedding strategy to solve the problem about communicating peak points. We also present a histogram shifting technique to prevent overflow and underflow. Performance comparisons with other existing reversible data hiding schemes are provided to demonstrate the superiority of the proposed scheme.

가역 임베딩 없는 직접적 비가역-가역회로 매핑 방법의 게이트비용 절감 방안 (Gate Cost Reduction Policy for Direct Irreversible-to-Reversible Mapping Method without Reversible Embedding)

  • 박동영;정연만
    • 한국전자통신학회논문지
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    • 제9권11호
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    • pp.1233-1240
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    • 2014
  • 1980년 Toffoli 가역게이트 출현 이후 지난 30년 간 적당한 함수 상에 가역 임베딩을 하는 많은 가역회로 합성법들이 발표되어 오는 동안 소수의 논문만이 가역 임베딩 없이 직접적인 비가역-가역 회로 매핑 방법을 채택해 왔다. 본 논문에서는 가역 임베딩 없는 직접적 가역 매핑에 대한 효과적인 게이트비용 절감 정책을 개발하였다. 새로운 비용절감 정책을 개발하기 위해 고전회로에서 NOT 게이트 배치에 따른 Toffoli 모듈 비용의 영향을 고찰하고, 이것을 기초로 하여 고전적 AND(OR)게이트에 대한 반전입력 추가가 가역 Toffoli 모듈의 비용을 증가(감소)시킨다-라는 고전 게이트 반전입력 수와 가역 Toffoli 모듈 비용 사이의 반비례적 성질을 이끌어내었다. 직접적 가역 매핑에 선행한 반전입력 재배치 정책은 현존하는 팬-아웃 및 슈퍼셀 정책들과 병행할 경우에 가역 Toffoli 모듈의 비용과 복잡성을 개선할 수 있는 효과적인 방법이다.

영상의 지역성과 인접 픽셀 차분 시퀀스를 이용하는 가역 데이터 임베딩 기법 (Reversible Data Embedding Algorithm Using the Locality of Image and the Adjacent Pixel Difference Sequence)

  • 정수목
    • 한국정보전자통신기술학회논문지
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    • 제9권6호
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    • pp.573-577
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    • 2016
  • 본 논문에서는 영상의 지역성과 인접 픽셀 차분시퀀스를 이용하는 가역 데이터 임베딩 기법을 제안하였다. 자연영상에는 일반적으로 지역성이 존재한다. 영상의 지역성을 이용하여 인접한 픽셀 값을 예측하는 기법을 기존의 기법인 APD(Adjacent Pixel Difference) 기법에 적용하여 임베딩 가능한 데이터 량을 증가 시키고 다양한 레벨로 데이터 임베딩을 가능하게 하는 가역 데이터 임베딩 기법을 제안하였다. 실험결과를 통하여 제안된 기법의 우수성을 확인하였다.

히스토그램 이동을 이용한 고용량 리버서블 워터마킹 (A High Capacity Reversible Watermarking Using Histogram Shifting)

  • 배성호
    • 한국멀티미디어학회논문지
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    • 제13권1호
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    • pp.76-82
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    • 2010
  • 리버서블 워터마킹은 디지털 영상에 정보를 은닉하고 인증된 상대에게만 은닉된 정보를 복호화하고 원래의 상태로 영상을 복구하는 방법이다. 본 논문에서는 히스토그램 이동을 이용한 고용량 리버서블 워터마킹을 제안한다. 본 논문에서는 높은 삽입량을 위하여 영상을 $2{\times}2$ 블록으로 분할하고, 각 블록에 수평, 수직, 대각에 대한 화소쌍을 이용하여 가장 빈도가 높은 최대 삽입공간을 찾는다. 최대 삽입공간을 포함하는 위치맵을 이용하여 오버플로우와 언더플로우를 제거하여, 반복적인 워터마크 삽입을 통해 삽입량을 증가시킨다. 실험을 통하여 제안한 방법이 기존의 리버서블 워터마킹 방법과 비교하여 좋은 화질과 높은 삽입량을 나타냄을 확인하였다.

Reversible Watermarking with Adaptive Embedding Threshold Matrix

  • Gao, Guangyong;Shi, Yun-Qing;Sun, Xingming;Zhou, Caixue;Cui, Zongmin;Xu, Liya
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권9호
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    • pp.4603-4624
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    • 2016
  • In this paper, a new reversible watermarking algorithm with adaptive embedding threshold matrix is proposed. Firstly, to avoid the overflow and underflow, two flexible thresholds, TL and TR, are applied to preprocess the image histogram with least histogram shift cost. Secondly, for achieving an optimal or near optimal tradeoff between the embedding capacity and imperceptibility, the embedding threshold matrix, composed of the embedding thresholds of all blocks, is determined adaptively by the combination between the composite chaos and the average energy of Integer Wavelet Transform (IWT) block. As a non-liner system with good randomness, the composite chaos is suitable to search the optimal embedding thresholds. Meanwhile, the average energy of IWT block is calculated to adjust the block embedding capacity, and more data are embedded into those IWT blocks with larger average energy. The experimental results demonstrate that compared with the state-of-the-art reversible watermarking schemes, the proposed scheme has better performance for the tradeoff between the embedding capacity and imperceptibility.

효과적인 가역 정보은닉을 위한 픽셀의 차이 값을 이용한 개선된 보간법 (An Improved Interpolation Method using Pixel Difference Values for Effective Reversible Data Hiding)

  • 김평한;정기현;윤은준;유관우
    • 한국멀티미디어학회논문지
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    • 제24권6호
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    • pp.768-788
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    • 2021
  • The reversible data hiding technique safely transmits secret data to the recipient from malicious attacks by third parties. In addition, this technique can completely restore the image used as a transmission medium for secret data. The reversible data hiding schemes have been proposed in various forms, and recently, the reversible data hiding schemes based on interpolation are actively researching. The reversible data hiding scheme based on the interpolation method expands the original image into the cover image and embed secret data. However, the existing interpolation-based reversible data hiding schemes did not embed secret data during the interpolation process. To improve this problem, this paper proposes embedding the first secret data during the image interpolation process and embedding the second secret data into the interpolated cover image. In the embedding process, the original image is divided into blocks without duplicates, and the maximum and minimum values are determined within each block. Three way searching based on the maximum value and two way searching based on the minimum value are performed. And, image interpolation is performed while embedding the first secret data using the PVD scheme. A stego image is created by embedding the second secret data using the maximum difference value and log function in the interpolated cover image. As a result, the proposed scheme embeds secret data twice. In particular, it is possible to embed secret data even during the interpolation process of an image that did not previously embed secret data. Experimental results show that the proposed scheme can transmit more secret data to the receiver while maintaining the image quality similar to other interpolation-based reversible data hiding schemes.

비밀자료 삽입용량을 증가시키기 위한 비밀 공유 기반의 이중 이미지 가역 정보은닉 기법 (Dual Image Reversible Data Hiding Scheme Based on Secret Sharing to Increase Secret Data Embedding Capacity)

  • 김평한;유관우
    • 한국멀티미디어학회논문지
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    • 제25권9호
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    • pp.1291-1306
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    • 2022
  • The dual image-based reversible data hiding scheme embeds secret data into two images to increase the embedding capacity of secret data. The dual image-based reversible data hiding scheme can transmit a lot of secret data. Therefore, various schemes have been proposed until recently. In 2021, Chen and Hong proposed a dual image-based reversible data hiding scheme that embeds a large amount of secret data using a reference matrix, secret data, and bit values. However, in this paper, more secret data can be embedded than Chen and Hong's scheme. To achieve this goal, the proposed scheme generates polynomials and shared values using secret sharing scheme, and embeds secret data using reference matrix and septenary number, and random value. Experimental results show that the proposed scheme can transmit more secret data to the receiver while maintaining the image quality similar to other dual image-based reversible data hiding schemes.

A Robust Reversible Data Hiding Scheme with Large Embedding Capacity and High Visual Quality

  • Munkbaatar, Doyoddorj;Park, Young-Ho;Rhee, Kyung-Hyune
    • 한국멀티미디어학회논문지
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    • 제15권7호
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    • pp.891-902
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    • 2012
  • Reversible data hiding scheme is a form of steganography in which the secret embedding data can be retrieved from a stego image for the purpose of identification, copyright protection and making a covert channel. The reversible data hiding should satisfy that not only are the distortions due to artifacts against the cover image invisible but also it has large embedding capacity as far as possible. In this paper, we propose a robust reversible data hiding scheme by exploiting the differences between a center pixel and its neighboring pixels in each sub-block of the image to embed secret data into extra space. Moreover, our scheme enhances the embedding capacity and can recover the embedded data from the stego image without causing any perceptible distortions to the cover image. Simulation results show that our proposed scheme has lower visible distortions in the stego image and provides robustness to geometrical image manipulations, such as rotation and cropping operations.

Reversible Data Hiding Using a Piecewise Autoregressive Predictor Based on Two-stage Embedding

  • Lee, Byeong Yong;Hwang, Hee Joon;Kim, Hyoung Joong
    • Journal of Electrical Engineering and Technology
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    • 제11권4호
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    • pp.974-986
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    • 2016
  • Reversible image watermarking, a type of digital data hiding, is capable of recovering the original image and extracting the hidden message with precision. A number of reversible algorithms have been proposed to achieve a high embedding capacity and a low distortion. While numerous algorithms for the achievement of a favorable performance regarding a small embedding capacity exist, the main goal of this paper is the achievement of a more favorable performance regarding a larger embedding capacity and a lower distortion. This paper therefore proposes a reversible data hiding algorithm for which a novel piecewise 2D auto-regression (P2AR) predictor that is based on a rhombus-embedding scheme is used. In addition, a minimum description length (MDL) approach is applied to remove the outlier pixels from a training set so that the effect of a multiple linear regression can be maximized. The experiment results demonstrate that the performance of the proposed method is superior to those of previous methods.