• 제목/요약/키워드: Stego-Image

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비밀 양자화 범위를 이용한 화상 심층암호 응용 (Applications of Image Steganography Using Secret Quantization Ranges)

  • 신상욱;박영란
    • 한국멀티미디어학회논문지
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    • 제8권3호
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    • pp.379-388
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    • 2005
  • 화상 심층암호(image steganography)는 비밀 정보를 화상에 몰래 숨겨 송/수신자간에 주고받는 비밀 통신의 한 방법이다. 송신자는 특별한 의미를 갖지 않는 커버 화상(cover image)에 비밀 정보를 삽입한 스테고 화상을 수신자에게 전달한다. 수신자는 송신자에게 받은 스테고 화상(stego image)에서 숨겨진 비밀 정보를 추출하여 그 개용을 확인한다. 본 논문에서는 알고리즘이 간단하면서, 심층암호의 필수 조건인 비밀 정보의 삽입용량, 스테고 화상의 비가시성, 그리고 송i수신자간의 기밀성을 모두 만족할 수 있는 기법들을 제안한다 제안 방식은 커버 화상의 연속 두 화소간의 차분 값과 양자화 범위를 이용하여 비밀 정보를 은닉시킨다. 특별히, 스테고 화상의 비가시성을 위해 커버 화상의 두 화소간의 차분 값에 따라 삽입 비트수를 다르게 한다. 또한, 기밀성을 위해서는 비밀 양자화 범위를 사용하여 제3자에 의해 비밀 정보가 해독되는 것을 방지할 수 있다. 제안 방식은 기존의 방식보다 화질을 개선시키기 위하여 범위의 상한값을 이용하였고, 삽입용량을 증가시키기 위해 특정 화소에 대해서는 삽입 처리를 중복으로 수행하였다 실험을 통하여 기존의 방식과 제안 방식을 비교하였고, 그 결과 제안 방식의 유효성을 확인할 수 있었다.

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Recognizing F5-like stego images from multi-class JPEG stego images

  • Lu, Jicang;Liu, Fenlin;Luo, Xiangyang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권11호
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    • pp.4153-4169
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    • 2014
  • To recognize F5-like (such as F5 and nsF5) steganographic algorithm from multi-class stego images, a recognition algorithm based on the identifiable statistical feature (IDSF) of F5-like steganography is proposed in this paper. First, this paper analyzes the special modification ways of F5-like steganography to image data, as well as the special changes of statistical properties of image data caused by the modifications. And then, by constructing appropriate feature extraction sources, the IDSF of F5-like steganography distinguished from others is extracted. Lastly, based on the extracted IDSFs and combined with the training of SVM (Support Vector Machine) classifier, a recognition algorithm is presented to recognize F5-like stego images from images set consisting of a large number of multi-class stego images. A series of experimental results based on the detection of five types of typical JPEG steganography (namely F5, nsF5, JSteg, Steghide and Outguess) indicate that, the proposed algorithm can distinguish F5-like stego images reliably from multi-class stego images generated by the steganography mentioned above. Furthermore, even if the types of some detected stego images are unknown, the proposed algorithm can still recognize F5-like stego images correctly with high accuracy.

지역적 유사성을 이용한 픽셀 값 예측 기법에 기초한 가역 데이터 은닉 알고리즘 (Reversible Data Embedding Algorithm based on Pixel Value Prediction Scheme using Local Similarity in Image)

  • 정수목
    • 한국정보전자통신기술학회논문지
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    • 제10권6호
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    • pp.617-625
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    • 2017
  • 본 논문에서는 기밀 데이터를 커버 이미지에 은닉하는 효과적인 가역 데이터 은닉 기법을 제안하였다. 제안된 기법에서는 이미지에 존재하는 지역적 유사성을 이용하여 픽셀 값을 정확하게 예측하여 예측 이미지를 생성하였고, 생성된 예측 이미지와 원본 커버 이미지를 사용하여 차분 시퀀스를 생성한 후, 히스토그램 쉬프트 기법을 적용하여 기밀데이터가 은닉된 스테고 이미지(stego-image)를 생성하였다. 스테고 이미지로부터 기밀 데이터를 추출하고 원본 커버 이미지를 손실 없이 복원할 수 있다. 제안된 기법을 적용하면 기존의 APD 기법에 비하여 더 많은 기밀 데이터를 은닉할 수 있음을 실험으로 확인하였다.

영상의 특성을 효과적으로 이용하고 CZP 문제를 해결하여 영상에 가역적으로 데이터를 은닉하는 기법에 대한 연구 (A Study on reversible data hiding using the characteristics of image and solving CZP problem)

  • 정수목
    • 한국정보전자통신기술학회논문지
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    • 제12권1호
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    • pp.83-91
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    • 2019
  • 본 논문에서는 영상에 존재하는 곡면 특성과 지역적 유사성을 효과적으로 이용하고, 극히 일부 영상에서 발생하는 CZP(Closest Zero point)가 존재하지 않는 문제를 해결하여 히스토그램 이동을 통해 가역적으로 기밀데이터를 커버 이미지(cover image)에 은닉할 수 있는 기법을 제안하였다. 제안된 기법을 적용하면 커버 이미지에 비가시적으로 데이터를 은닉할 수 있으며, 데이터가 은닉된 스테고 이미지(stego-image)로부터 기밀 데이터를 손실 없이 추출하고, 원본 커버 이미지를 온전히 복원할 수 있다. 제안된 기법을 적용하여 구성한 스테고 이미지는 커버 이미지와 차이를 구별할 수 없을 정도로 시각적 화질이 우수하기 때문에 기밀 데이터가 스테고 이미지에 은닉되었는지를 알 수 없다. 제안된 기법은 기존의 APD(Adjacent Pixel Difference)기법에 비하여 다양한 레벨로 기밀 데이터를 은닉할 수 있으며, APD 기법 대비 최대 25.1% 많은 기밀 데이터를 커버 이미지에 은닉 할 수 있었다.

A Reversible Data Hiding Method for AMBTC Compressed Image without Expansion inside Stego Format

  • Hui, Zheng;Zhou, Quan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권11호
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    • pp.4443-4462
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    • 2020
  • This paper proposes a new framework of reversible data hiding scheme for absolute moment truncation coding (AMBTC) compressed images. AMBTC-based RDH can be applied to optical remote sensing (ORS) image transmission, which achieves target region preservation and image compression simultaneously. Existing methods can be concluded as two types. In type I schemes, stego codes mimic the original AMBTC format where no file bloat occurs, yet the carried secret data is limited. Type II schemes utilize predication errors to recode quantity levels of AMBTC codes which achieves significant increase in embedding capacity. However, such recoding causes bloat inside stego format, which is not appropriate in mentioned ORS transmission. The proposed method is a novel type I RDH method which prevents bloat inside AMBTC stego codes with significant improvement in embedding capacity. The AMBTC compressed trios are grouped into two categories according to a given threshold. In smooth trio, the modified low quantity level is constructed by concatenating Huffman codes and secret bits. The reversible contrast mapping (RCM) is performed to complex trios for data embedment. Experiments show that the proposed scheme provides highest payload compared with existing type I methods. Meanwhile, no expansion inside stego codes is caused.

Reversible data hiding algorithm using spatial locality and the surface characteristics of image

  • Jung, Soo-Mok;On, Byung-Won
    • 한국컴퓨터정보학회논문지
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    • 제21권8호
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    • pp.1-12
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    • 2016
  • In this paper, we propose a very efficient reversible data hiding algorithm using spatial locality and the surface characteristics of image. Spacial locality and a variety of surface characteristics are present in natural images. So, it is possible to precisely predict the pixel value using the locality and surface characteristics of image. Therefore, the frequency is increased significantly at the peak point of the difference histogram using the precisely predicted pixel values. Thus, it is possible to increase the amount of data to be embedded in image using the spatial locality and surface characteristics of image. By using the proposed reversible data hiding algorithm, visually high quality stego-image can be generated, the embedded data and the original cover image can be extracted without distortion from the stego-image, and the embedding data are much greater than that of the previous algorithm. The experimental results show the superiority of the proposed algorithm.

An advanced reversible data hiding algorithm based on the similarity between neighboring pixels

  • Jung, Soo-Mok
    • 한국컴퓨터정보학회논문지
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    • 제21권2호
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    • pp.33-42
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    • 2016
  • In this paper, an advanced reversible data hiding algorithm which takes the advantage of the spatial locality in image was proposed. Natural image has a spatial locality. The pixel value of a natural image is similar to the values of neighboring pixels. So, using the neighboring pixel values, it is possible to precisely predict the pixel value. Frequency increases significantly at the peak point of the difference histogram using the predicted values. Therefore, it is possible to increase the amount of data to be embedded. By using the proposed algorithm, visually high quality stego-image can be generated, the original cover image and the embedded data can be extracted from the stego-image without distortion. The embedding data into the cover image of the proposed algorithm is much lager than that of the previous algorithm. The performance of the proposed algorithm was verified by experiment. The proposed algorithm is very useful for the reversible data hiding.

다중 정보 은폐 및 실시간 추출 시스템의 광-디지털적 구현 (Opto-Digital Implementation of Multiple Information Hiding & Real-time Extraction System)

  • 김정진;최진혁;김은수
    • 한국통신학회논문지
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    • 제28권1C호
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    • pp.24-31
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    • 2003
  • In this paper, a new opto-digital multiple information hiding and real-time extracting system is implemented. That is, multiple information is hidden in a cover image by using the stego keys which are generated by combined use of random sequence(RS) and Hadamard matrix(HM) and these hidden information is extracted in real-time by using a new optical correlator-based extraction system. In the experiment, 3 kinds of information, English alphabet of "N", "R", "L" having 512$\times$512 pixels, are formulated 8$\times$8 blocks and each of these information is multiplied with the corresponding stego keys having 64$\times$64 pixels one by one. And then, by adding these modulated data to a cover image of "Lena"having 512$\times$512 pixels, a stego image is finally generated. In this paper, as an extraction system, a new optical nonlinear joint transform correlator(NJTC) is introduced to extract the hidden data from a stego image in real-time, in which optical correlation between the stego image and each of the stego keys is performed and from these correlation outputs the hidden data can be asily exacted in real-time. Especially, it is found that the SNRs of the correlation outputs in the proposed optical NJTC-based extraction system has been improved to 7㏈ on average by comparison with those of the conventional JTC system under the condition of having a nonlinear parameter less than k=0.4. This good experimental results might suggest a possibility of implementation of an opto-digital multiple information hiding and real-time extracting system.

High capacity multi-bit data hiding based on modified histogram shifting technique

  • Sivasubramanian, Nandhini;Konganathan, Gunaseelan;Rao, Yeragudipati Venkata Ramana
    • ETRI Journal
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    • 제40권5호
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    • pp.677-686
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    • 2018
  • A novel data hiding technique based on modified histogram shifting that incorporates multi-bit secret data hiding is proposed. The proposed technique divides the image pixel values into embeddable and nonembeddable pixel values. Embeddable pixel values are those that are within a specified limit interval surrounding the peak value of an image. The limit interval is calculated from the number of secret bits to be embedded into each embeddable pixel value. The embedded secret bits can be perfectly extracted from the stego image at the receiver side without any overhead bits. From the simulation, it is found that the proposed technique produces a better quality stego image compared to other data hiding techniques, for the same embedding rate. Since the proposed technique only embeds the secret bits in a limited number of pixel values, the change in the visual quality of the stego image is negligible when compared to other data hiding techniques.

Data Hiding in Halftone Images by XOR Block-Wise Operation with Difference Minimization

  • Yang, Ching-Nung;Ye, Guo-Cin;Kim, Cheon-Shik
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권2호
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    • pp.457-476
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    • 2011
  • This paper presents an improved XOR-based Data Hiding Scheme (XDHS) to hide a halftone image in more than two halftone stego images. The hamming weight and hamming distance is a very important parameter affecting the quality of a halftone image. For this reason, we proposed a method that involves minimizing the hamming weights and hamming distances between the stego image and cover image in $2{\times}2$-pixel grids. Moreover, our XDHS adopts a block-wise operation to improve the quality of a halftone image and stego images. Furthermore, our scheme improves security by using a block-wise operation with A-patterns and B-patterns. Our XDHS method achieves a high quality with good security compared to the prior arts. An experiment verified the superiority of our XDHS compared with previous methods.