• Journal of Korea Multimedia Society
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• v.8 no.6
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• pp.783-789
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• 2005

This paper is proposed a watermarking technique for copyright protection of multimedia contents. We proposed adaptive watermark detection algorithm using stochastic perceptual model and statistical decision method in DMWT(discrete multi wavelet transform) domain. The stochastic perceptual model calculates NVF(noise visibility function) based on statistical characteristic in the DMWT. Watermark detection algorithm used the likelihood ratio depend on Bayes' decision theory by reliable detection measure and Neyman-Pearson criterion. To reduce visual artifact of image, in this paper, adaptively decide the embedding number of watermark based on DMWT, and then the watermark embedding strength differently at edge and texture region and flat region embedded when watermark embedding minimize distortion of image. In experiment results, the proposed statistical decision method based on multiwavelet domain could decide watermark detection.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.51 no.3
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• pp.108-111
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• 2002

This paper proposes an new water mark embedding and extraction technique which extends the direct sequence spread spectrum technique. The proposed technique approximates the complexity of image and block in spatial domain using Laplacian filtering and watermark is adaptively embedded in the mid-frequency DCT components. Local parity bits are attached to higher-frequency DCT components and they are used to detect extraction errors and correct those errors. In extraction process the proposed method boosts the higher frequency components of image and extracts the watermark by demodulation and this information is verified and adjusted by parity bits. Experimental results show it is invisible and robust to several external attacks.

• Journal of the Korea Institute of Military Science and Technology
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• v.13 no.2
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• pp.268-274
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• 2010

A steganographic method using three directional data embedding for gray images is presented in this paper. Cover image is divided into non-overlapping $2\times2$ sub-blocks and the basis pixel is selected to calculate the three different values of each sub-block. Difference values are replaced by embedding the number of secret bits that is referenced by the range table. For the three pixel pairs in the sub-block, the optimal pixel adjustment is preceded to reduce the distortion of visual quality. The experimental results show that the proposed method achieves a good visual quality and high capacity.

• Proceedings of the IEEK Conference
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• 2000.11c
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• pp.69-72
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• 2000

In this paper, a novel algorithm for digital watermarking is proposed. We use two pattern keys from BCH (15, 7) code and one randomizing key. In the embedding process, optimal watermark coefficients are determined by statistical analysis of the DCT coefficients from the standpoint of HVS. In the detection, watermark coefficients are restored by correlation matching of the possible pattern keys and minimizing the estimation errors. Attacks tested in the experiments ate image enhancement and image compression (JPEG). Performance is evaluated by BER of the logo images and SNR/PSNR of the restored images. Our method has higher performance against JPEG attacks. Analysis for the performance is included.

• Proceedings of the KIEE Conference
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• 1998.07g
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• pp.2427-2429
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• 1998

Digital watermarking is the techinque which embeds the invisible signal into multimedia data such as audio, video, images, for copyright protection, including owner identification and copy control information. This paper proposes a new watermark embedding and extraction technique by extending the direct sequence spread spectrum technique. The proposed technique approximates the frequency component of pixels in spatial domain by using Laplacian mask and adaptively embeds the watermark considering the HVS to reduce the degradation of Image. In watermark extraction process, the proposed technique strengthens the high frequency components of image and extracts the watermark by demodulation. All this processes are performed in spatial domain to reduce the processing time.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.11a
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• pp.176-179
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• 2015

본 논문에서는 3D 디지털 영상 컨텐츠의 저작권 보호를 위해 DWT(Discrete Wavelet Transform)를 이용하여 강인성(robustness), 비가시성(invisibility), 보안성(security)을 만족하는 블라인드(Blind) 워터마킹 방법을 제안한다. 이 방법은 깊이 영상 기반 랜더링(DIBR, Depth Image Based Rendering)에 효과적으로 대처하기위해 고안된 알고리즘으로, 랜더링시 발생하는 왜곡에 영향이 적은 1-Level DWT LH 부대역에 워터마크를 삽입하는 방법이다. 이 방법에서 저작권에 대한 판단은 추출한 워터마크 정보를 통합 판단하는 방법을 사용한다. 이 방법은 저작권 보호를 위해 원본 영상을 보관할 필요가 없으며, 깊이 영상 기반 랜더링 baseline distance 5% 공격에 좌,우시점 영상 모두 효율적으로 적은 에러율을 보이며 워터마크로서 충분한 강인성을 보여준다.

• Journal of Korea Society of Industrial Information Systems
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• v.10 no.2
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• pp.102-108
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• 2005

CIELAB coordinate is represented by one lightness component and two chromaticity components and similar to human visual system. Visual devices such as computer monitor display images using RGB coordinate. We propose a technique for inserting the watermark of visually recognizable mark into the middle frequency domain of image. RGB coordinate image is transformed into CIELAB coordinate, which include the characteristics of Human vision and then a* component is transformed into DFT(Discrete Fourier transform) transform.

• Proceedings of the Korea Multimedia Society Conference
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• 2004.05a
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• pp.147-150
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• 2004

워터마킹은 디지털 영상에 저작권 정보를 삽입하여 불법복제를 막는 중요한 기술이다. 지금까지는 주로 온라인 디지털 영상에 대한 워터마크 연구가 주로 이루어져 왔다. 본 논문은 온라인이 아닌 인쇄된 영상에서의 워터마킹 기술을 다룬다. 워터마크 비트에 따라 디더링시 사용하는 임계값 패턴을 다르게 하여 인쇄 영상 안에 워터마크를 삽입한다. 워터마크의 추출은 하프토닝된 인쇄 영상을 역하프토닝하여 원래의 그레이스케일 영상으로 복원한 다음, 워터마크 삽입 때 사용한 여러 개의 디더링 임계값 패턴을 사용하여 디더링한 후, 이 결과를 원래의 하프토닝 영상과 비교하여 가장 많이 일치하는 임계값 패턴을 찾아냄으로써 추출된다. 실험을 통하여 제안된 방법이 기존의 방법보다 워터마크 추출률이 우수하며 스캐너와 프린터의 하드웨어적인 특성을 고려한 공격시에도 더 강인함을 보였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.37-43
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• 2015

Technical treatments of image contents on the web include the copy protection method such as the image capture protection technology and the traitor tracing method to detect unauthorized duplications through watermarking insertion or feature information technology. However, these two methods have their own weaknesses. The image capture protection method is unable to protect illegal captures when the URLs of image sources are exposed. The traitor tracing method is fundamentally unable to protect illegal captures due to its post-treatment method. Besides, the weakness of using the copyright information display technology involves easy removal of copyright information from copyrighted contents. This paper suggests a model of the web image contents protection system which makes it hard to separate copyright information from web image contents and allows image contents to be shown only in the authorized websites.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.4
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• pp.759-766
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• 2017

In this paper, we preserve the transparency of digital contents by compressing and storing the medical image for a certain period so as to be safe and robust against various attacks of medical images. The proposed algorithm generates an encrypted image authentication code that extracts the feature value of the original image and combines it with the user's information. in order to extract hidden data, the authentication code is first decrypts the encrypted medical image and extracts the hidden data using the spatial characteristics of image. The proposed algorithm guarantees integrity when comparing extracted authentication code and newly generated authentication code for image authentication after directly inserting it into content itself through watermarking. We have proved various security of attack of image data and proved that the certification rate is improved to 98.4%.