• Title/Summary/Keyword: Cosine Component

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Robust Blind Watermarking using DCT Texture Block Coefficient (DCT 질감 블록 계수를 이용한 강인한 블라인드 워터마킹)

  • Shin, Yong-Dal;Park, Kyung-Nam
    • Journal of Korea Society of Industrial Information Systems
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    • v.13 no.4
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    • pp.108-114
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    • 2008
  • In this paper, we proposed robust blind watermarking algorithm using texture block coefficient based on discrete cosine transform(DCT). The proposed method embedded all of watermark signals into DC component of $8\times8$ block DCT in order to robust various external attack The texture block coefficient was composed absolute value of DCT coefficients. Experiment showed that the proposed method better than conventional methods in the invisibility and various attack such as dithering, cropping, and scaling.

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Study On the Robustness Of Four Different Face Authentication Methods Under Illumination Changes (얼굴인증 방법들의 조명변화에 대한 견인성 연구)

  • 고대영;천영하;김진영;이주헌
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.2036-2039
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    • 2003
  • This paper focuses on the study of the robustness of face authentication methods under illumination changes. Four different face authentication methods are tried. These methods are as follows; Principal Component Analysis, Gaussian Mixture Models, 1-Dimensional Hidden Markov Models, 2-Dimensional Hidden Markov Models. Experiment results involving an artificial illumination change to face images are compared with each others. Face feature vector extraction method based on the 2-Dimensional Discrete Cosine Transform is used. Experiments to evaluate the above four different face authentication methods are carried out on the Olivetti Research Laboratory(ORL) face database. For the pseudo 2D HMM, the best EER (Equal Error Rate) performance is observed.

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Face Recognition Using Frequency Characteristics of Facial Images (얼굴 영상의 주파수 특성을 이용한 얼굴 인식)

  • Choi, Jean;Chung, Yun-Su;Yoo, Jang-Hee
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.395-396
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    • 2006
  • 본 논문에서는 얼굴 인식의 성능을 효율적으로 향상시키기 위하여 Discrete Cosine Transform (DCT)와 Principal Component Analysis(PCA)에 기반한 새로운 특징 추출 방법을 제안한다. 얼굴 영상의 공간 영역은 DCT를 이용하여 주파수 영역으로 변환되며, DCT 도메인에서 얼굴 영상이 갖는 고유한 주파수 특성을 최적화 하는 주파수 밴드 영역을 추출한다. 차원이 축소된 데이터는 PCA 를 이용하여 데이터의 변별력에 가장 적합한 얼굴의 특징을 추출하고 Nearest Neighbor Classification 을 통해 본인여부를 확인 한다. 실험 결과 제안된 방법은 데이터의 차원을 효과적으로 축소하면서 기존의 얼굴 인식 방법에 비해 높은 인식률 향상을 보였다.

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Ship Flexure Error Compensation of Transfer Alignment via Robust State Estimation (강인한 상태추정에 의한 전달정렬의 선체유연성오차 보상)

  • Lim, You-Chol;Lyou, Joon
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.2
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    • pp.178-184
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    • 2002
  • This paper deals with the transfer alignment problem of SDINS(StrapDown Inertial Navigation System) subjected to roll and pitch motions of the ship. In order to reduce alignment errors induced by ship body flexure, a linearized error model for the velocity and attitude matching transfer alignment system is first derived by linearizing the nonlinear measurement equation with respect to the dominant y axis component and defining the flexure state of random constant type. And then a robust state estimation scheme is introduced to account for modeling uncertainty of the flexure. By interpreting the simulation results and comparing with the velocity and DCM(Direction Cosine Matrix) partial matching method, it is shown that the proposed method is effective enough to improve the azimuth alignment performance.

Face Recognition by Using Principal Component Analysis of Unsupervised Learning (자율학습의 PCA를 이용한 얼굴인식)

  • Cho Yong-Hyun;Cha Joo-Hee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.11a
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    • pp.583-586
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    • 2004
  • 본 논문에서는 자율학습의 속성을 가지는 주요성분분석을 이용한 얼굴인식 기법을 제안하였다. 이는 대용량의 입력 데이터를 통계적으로 독립인 특징들의 집합으로 변환시켜 중복신호를 제거하는 특성을 가지는 주요성분분석의 우수한 속성을 이용한 것이다. 제안된 기법을 Yale 얼굴영상 데이터베이스로부터 선택된 20개의 $320{\ast}243$ 픽셀의 영상을 대상으로 시뮬레이션한 결과, 주요성분의 개수에 따른 압축성능과 city-block, Euclidian, 그리고 negative angle(cosine)의 거리척도에 따른 인식에서의 분류성능에서 우수한 성능이 있음을 확인할 수 있었다.

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Improving Cover Song Search Accuracy by Extracting Salient Chromagram Components (강인한 크로마그램 성분 추출을 통한 커버곡 검색 성능 개선)

  • Seo, Jin Soo
    • Journal of Korea Multimedia Society
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    • v.22 no.6
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    • pp.639-645
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    • 2019
  • This paper proposes a salient chromagram components extraction method based on the temporal discrete cosine transform of a chromagram block to improve cover song retrieval accuracy. The proposed salient chromagram emphasizes tonal contents of music, which are well-preserved between an original song and its cover version, while reducing the effects of timbre difference. We apply the proposed salient chromagram extraction method as a preprocessing step for the Fourier-transform based cover song matching. Experiments on two cover song datasets confirm that the proposed salient chromagram improves the cover song search accuracy.

Estimation of the frequency component and the orientational angle in texture image based on the QPS filter (QPS 필터에 의한 질감영상의 주파수성분과 방향각 평가)

  • 류재민;박종안
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.5
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    • pp.1123-1131
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    • 1996
  • Several improved quadrature polar separable (QPS) filters have been proposed and applied in texture processing since Knutsson proposed the QPS filter. They include a Knutsson's cosine function or oan exponential attenuation function, as the orientational function, and a Knutsson's exponential function or a finite prolate spheroidal sequence (FPSS) or an asymptotic FPSS, as the radial weighting functions. They represent different properties in terms of the generation of texture images, the orientational estimation, and the segmentation of synthetic texture image. In this paper, we have constructed several kernal functions for the 2-D QPS filter and analyzed their properties. A series of experiments have been carried out in order to estimate the frequency components and orientational angles of a local texture in Fourier domain. finally some problems encountered in applying QPS filters to feature description and segmentation are considered. Experimental results show that the improved Knutsson's filter and the asymptotic FPSS filter are useful in terms of the orientational estimation and the sementation of synthetic texture image.

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VQ Codebook Design and Feature Extraction of Image Information for Multimedia Information Searching (멀티미디어 정보검색에 적합한 영상정보의 벡터 양자화 코드북 설계 및 특징추출)

  • Seo, Seok-Bae;Kim, Dae-Jin;Kang, Dae-Seong
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.8
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    • pp.101-112
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    • 1999
  • In this paper, the codebook design method of VQ (vector quantization) is proposed an method to extract feature data of image for multimedia information searching. Conventional VQ codebook design methods are unsuitable to extract the feature data of images because they have too much computation time, memory for vector decoding and blocking effects like DCT (discrete cosine transform). The proposed design method is consists of the feature extraction by WT (wavelet transform) and the data group divide method by PCA (principal component analysis). WT is introduced to remove the blocking effect of an image with high compressing ratio. Computer simulations show that the proposed method has the better performance in processing speed than the VQ design method using SOM (self-organizing map).

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New Intra Coding Scheme for High-definition Video Coding (고화질 비디오 부호화를 위한 새로운 화면내 부호화 방법)

  • Heo, Jin;Ho, Yo-Sung
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.45 no.5
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    • pp.72-78
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    • 2008
  • Although the H.264 video coding scheme is popular, it is not efficient for high-definition (HD) video coding because the size of its macroblock is relatively small for the HD video resolution. In this paper, we propose a new intra coding scheme based on the enlarged macroblock size. For the luminance component, intra $4{\times}4$ prediction and intra $16{\times}16$ prediction in H.264 are scaled into intra $8{\times}8$ prediction and intra $32{\times}32$ prediction, respectively. For the chrominance components, intra $8{\times}8$ prediction is extended to intra $16{\times}16$ prediction. Along with the $8{\times}8$ basic coding block size, an $8{\times}8$ integer discrete cosine transform (DCT) is used. Experimental results show that the proposed algorithm improves coding efficiency of the intra coding for HD video: PSNR gain by 0.23dB and bit-rate reduction by 5.32% on average.

Impact of axial power distribution on thermal-hydraulic characteristics for thermionic reactor

  • Dai, Zhiwen;Wang, Chenglong;Zhang, Dalin;Tian, Wenxi;Qiu, Suizheng;Su, G.H.
    • Nuclear Engineering and Technology
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    • v.53 no.12
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    • pp.3910-3917
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    • 2021
  • Reactor fuel's power distribution plays a vital role in designing the new generation thermionic Space Reactor Power Systems (SRPS). In this paper, the 1/12th SPACE-R's full reactor core was numerically analyzed with two kinds of different axial power distribution, to identify their impacts on thermal-hydraulic and thermoelectric characteristics. In the benchmark study, the maximum error between numerical results and existing data or design values ranged from 0.2 to 2.2%. Four main conclusions were obtained in the numerical analysis: a) The axial power distribution has less impact on coolant temperature. b) Axial power distribution influenced the emitter temperature distribution a lot, when the core power was cosine distributed, the maximum temperature of the emitter was 194 K higher than that of the uniform power distribution. c) Comparing to the cosine axial power distribution, the uniform axial power distribution would make the maximum temperature in each component of the reactor core much lower, reducing the requirements for core fuel material. d) Voltage and current distribution were similar to the axial electrode temperature distribution, and the axial power distribution has little effect on the output power.