• ETRI Journal
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• 제35권3호
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• pp.512-522
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• 2013

In this paper, the radius weight mean (RWM) and the feature-embedding technique are used to present a novel watermarking scheme for color images. Simulations validate that the stego-images generated by the proposed scheme are robust against most common image-processing operations, such as compression, color quantization, bit truncation, noise addition, cropping, blurring, mosaicking, zigzagging, inversion, (edge) sharpening, and so on. The proposed method possesses outstanding performance in resisting high compression ratio attacks: JPEG2000 and JPEG. Further, to provide extra hiding storage, a steganographic method using the RWM with the least significant bit substitution technique is suggested. Experiment results indicate that the resulting perceived quality is desirable, whereas the peak signal-to-noise ratio is high. The payload generated using the proposed method is also superior to that generated by existing approaches.

• 대한전자공학회논문지SP
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• 제41권3호
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• pp.183-194
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• 2004

We propose a now watermarking scheme that can be used to embed multiple bits and also resilient to geometrical transforms such as scaling, rotation, and cropping, based on off - axis holographic watermark that allows multiple watermark recovery without original content(cover image). The holographic watermark is that Fourier transformed digital hologram is embedded into cover image in the spatial domain. The proposed method has not only increased robustness with a stronger embedding but also imprescriptibility of the watermark in the evaluation process. To compare with the convention기 scheme, the spread spectrum, we embedded and recovered maximum 1,024 bits that consist of binary number over PSNR(peak signal-to-noise ratio) 39dB. And also, we computed robustness with BER(bit error rate) corresponding the above attack

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2005년도 추계종합학술대회
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• pp.1173-1176
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• 2005

Depending on the characteristics of each 3D-DCT block, images can be classified into three types: images with motion and textures, images with high textures and little motion, images with little textures and little motion. In this paper, we propose an adaptive watermarking method using these characteristics of each 3D-DCT block. and the human visual system. The proposed method classifies patterns of 3D-DCT blocks based on the motion and texture information, and classifies the image type according to the ratio of these patterns. The watermark is inserted proportional to the 3D-DCT coefficients by using pattern adaptive JND, which. makes the proposed watermarking robust by inserting watermarks in as many blocks as possible. Experimental results show that the proposed method achieves better performance in terms of invisibility and robustness than the previous method.

• 한국정보처리학회논문지
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• 제7권6호
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• pp.1980-1987
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• 2000

In this paper, an efficient watermarking technique in wavelet transform domain is proposed. Watermarking is embedding a digital signal called as 'watermark' into images to claim the ownership. In the proposed method, the image is 1-level wavelet transformed, and then the watermark with a binary stamp is embedded into the baseband. The watermark is embedded by inverting the polarities of he selected coefficient paris. In the inverting process, we can increase image quality by finding means and differences of the selected neighboring coefficient paris, and then adding values, which are inversely proportional to the differences, to th means. The experimental results show that the proposed method has good quality and is robust to various attacks such as the JPEG lossy comparison, noise addition, clipping, blurring, etc.

• 한국정보과학회논문지:소프트웨어및응용
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• 제32권8호
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• pp.742-751
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• 2005

본 논문은 단어 분류에 기반한 새로운 텍스트 영상 워터마킹 알고리즘을 제안한다. 간단한 특징을 이용하여 단어를 K개로 분류한다. 이웃한 몇 개의 단어들을 조합하여 세그먼트를 구성하고, 세그먼트에 속한 단어들의 부류에 의해 세그먼트 또한 분류된다. 각 세그먼트에 동일한 양의 신호가 삽입된다. 신호 삽입은 세그먼트 부류가 갖는 단어 간 공백의 통계값을 조작함으로써 이루어진다. 몇 가지 기준에 따라 기존 단어 이동 알고리즘과의 주관적인 비교가 제시된다.

• 대한전자공학회논문지SP
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• 제41권5호
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• pp.143-152
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• 2004

본 논문에서는 칼라영상 각 채널에 대한 인간시각 특성이 다르다는 것을 이용하여, 워터마킹의 강인성과 화질열화에 중요한 영향을 미치는 Scaling값을 구하는 알고리듬을 제안한다. 또한, 칼라영상이 다채널 영상임을 이용하여, 상관도와 임계값의 차이가 최대가 되는 경우를 선택하여 워터마크를 삽입하는 선택적 워터마킹 알고리듬을 제안한다. 제안된 알고리듬을 통하여 동일한 화질열화의 조건 아래에서 보다 향상된 강인성을 얻을 수 있다.

• 디지털콘텐츠학회 논문지
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• 제5권4호
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• pp.311-315
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• 2004

본 논문에서는 이산 웨이블릿 변환(DWT)영역에 인간의 시각시스템(HVS)용소를 적용한 압축에 강인한 디지털 워터마킹 알고리즘을 제안하였다 전처리과정으로 3-Levl DWT를 수행한 후, 주파수 계수의 공간적인 특성을 고려하여 워터마크를 삽입하였다. 최적의 워터마크삽입영역 선택을 위하여 영상의 명암대비도와 텍스처 특징을 파라미터로 실정하여 퍼지추론기를 설계하였다. 삽입되는 워터마크는 시각적으로 인지가 가능한 특정 로고 형태의 이진 영상을 사용하였고, 실험결과 JPEC 압축비율 $70\%$까지 $90\%$이상의 상관관계를 보였다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2015년도 추계학술대회
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• pp.173-175
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• 2015

We proposed a blind watermarking scheme using singular vectors based on Discrete Wavelet Transform (DWT) and Redundant Discrete Wavelet Transform (RDWT) combined with Singular Value Decomposition (SVD) for copyright protection application. We replaced the 1st left and right singular vectors decomposed from cover image with the corresponding ones from watermark image to overcome the false-positive problem in current watermark systems using SVD. The proposed scheme realizes the watermarking system without a false positive problem, and shows high fidelity and robustness.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송∙미디어공학회 2016년도 추계학술대회
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• pp.82-84
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• 2016

We propose a new reliable SVD-based watermarking scheme having high fidelity and strong robustness with no false-positive problem. Each column of the principal component of a watermark image is embedded into singular values of LL, LH, HL and HH sub-bands of cover image with different scale factors. Each scale factor is optimized by trading-off fidelity and robustness using Differential Evolution (DE) algorithm. The proposed scheme improves fidelity and robustness of existing reliable SVD based watermarking schemes without any false-positive problem. Index Terms - watermarking, reliable SVD, DWT, principal component, Differential Evolution.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.138-141
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• 2005

In this paper, we propose a watermarking technique of multispectral images. In our method, the Principal Component Analysis (PCA) is preliminarily applied on the multispectral image. The most principal component image is used for embedding with a watermark, which is a pseudo-random number sequence generated with a secret key. The embedding process is performed in the wavelet domain. The resulting image is then reinserted into the principal component images, and the final multispectral image containing the watermark can be produced by the inverse PCA. Experimental results are provided to illustrate the performance of the algorithm against various kinds of attacks.