• Title/Summary/Keyword: Wavelet domain

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Image Denoising Using Bivariate Gaussian Model in Contourlet Transform Domain (Contourlet의 이변수 가우시안 모델을 이용한 영상의 잡음 감소)

  • Kim, Yoon-Ah;Kim, A-Ram;Yang, Sejung;Lee, Byung-Uk
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2011.11a
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    • pp.321-324
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    • 2011
  • 본 논문에서는 contourlet 변환을 이용하여 잡음을 제거하는 방법을 제안한다. 영상 센서의 발전으로 이미지의 해상도가 좋아지는 반면 잡음에 민감해진다. 그러므로 이를 전처리 단계에서 처리해주는 것이 필요하다. 잡음은 주로 자연 영상의 윤곽선에서 민감하게 반응하기 때문에 고주파대의 잡음을 최대한 정확하게 제거하는 과정이 중요하다. Contourlet 변환은 기존의 wavelet 변환의 다중 스케일과 더불어 다양한 방향 필터뱅크를 이용하여 방향 성분에 대하여 풍부한 정보를 얻을 수 있는 변환이다. 영상의 화이트 가우시안 잡음을 제거하기 위해 contourlet 변환 영역에서의 계수를 이변수 가우스 확률 모델로 설정하고 Bayes 추정법을 사용한다. Bayes 추정법에 필요한 파라미터들은 근사적으로 추정한다. 제안한 방식을 통하여 잡음이 제거된 영상에 추가적으로 Wiener filter와 cycle-spinning을 적용하여 더 높은 PSNR (peak signal-to-noise ratio)값을 얻을 수 있다. 모의실험을 통해 제안한 방식의 PSNR 값과 결과영상으로 성능이 우수함을 확인하였다.

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Adaptive Blind Watermarking Using Energy Quantization (에너지 양자화를 이용한 적응적 블라인드 워터마킹)

  • Hong, Bedro;Eom, Il-kyu;Kim, Yoo-shin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.9C
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    • pp.1289-1297
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    • 2004
  • Digital watermarking is a technique which blends intellectual property right with security Blind watermarking 1S one of the difficult watermark technique because original data or inserted watermark is not needed. In this paper, we propose a new blind watermarking method using energy quantization in wavelet domain to insert watermark. The proposed method is robust for various attacks and attack strength because watermark strength is adaptively changed for energy variation of attacks. Simulation results show the proposed method is robust to various attacks such as noise addition, cropping, blurring, sharpening, maintaining imprescriptibility.

Design of the Wavelet Transform Domain Sign algorithm using Sigma-Delta structure (시그마 델타 구조를 사용한 웨이블릿 변환영역 사인 알고리즘 설계)

  • Kim, Hyun-Do;Lee, Jin-Mo;Yoo, Kyung-Yul
    • Proceedings of the KIEE Conference
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    • 2002.07d
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    • pp.2586-2588
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    • 2002
  • 본 논문에서는 $\Sigma\Delta$ 변조된 입력신호를 갖는 적응필터의 수렴특성을 연구하여 향상 방안을 제시하였다. 하드웨어적인 측면에서 효율적인 해상도를 내는 $\Sigma\Delta$ 변조기는 중저주파 대역의 신호를 처리하는데 널리 사용되고 있다. $\Sigma\Delta$ 변조신호는 항상 $\pm1$의 값만을 갖기 때문에, 사인 알고리즘을 사용하는 적응필터와 효율적으로 결합될 수 있다. 하지만, PCM 신호에 대비하여 $\Sigma\Delta$ 변조 신호의 상대적인 길이가 길어 이를 처리하는 적응필터의 길이가 증가하고, 아울러 사인 알고리즘 자체가 갖는 수렴속도의 문제점 때문에 이러한 결합은 불안정한 수렴 특성을 보이게 된다. 본 연구에서는 $\Sigma\Delta$ 변조된 입력신호에 대하여 웨이블릿 변환을 적용한 변환영역 적응필터를 설계하였으며, 수렴속도가 향상됨을 시스템 식별의 응용예를 통하여 검증하였다.

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Defect Detection Method using Human Visual System and MMTF (MMTF와 인간지각 특성을 이용한 결함성분 추출기법)

  • Huh, Kyung-Moo;Joo, Young-Bok
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.12
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    • pp.1094-1098
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    • 2013
  • AVI (Automatic Vision Inspection) systems automatically detect defect features and measure their sizes via camera vision. Defect detection is not an easy process because of noises from various sources and optical distortion. In this paper the acquired images from a TFT panel are enhanced with the adoption of an HVS (Human Visual System). A human visual system is more sensitive on the defect area than the illumination components because it has greater sensitivity to variations of intensity. In this paper we modified an MTF (Modulation Transfer Function) in the Wavelet domain and utilized the characteristics of an HVS. The proposed algorithm flattens the inner illumination components while preserving the defect information intact.

Object Tracking Algorithm for Multimedia System

  • Kim, Yoon-ho;Kwak, Yoon-shik;Song, Hag-hyun;Ryu, Kwang-Ryol
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2002.11a
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    • pp.217-221
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    • 2002
  • In this paper, we propose a new scheme of motion tracking based on fuzzy inference (FI)and wavelet transform (WT) from image sequences. First, we present a WT to segment a feature extraction of dynamic image . The coefficient matrix for 2-level DWT tent to be clustered around the location of important features in the images, such as edge discontinuities, peaks, and corners. But these features are time varying owing to the environment conditions. Second, to reduce the spatio-temporal error, We develop a fuzzy inference algorithm. Some experiments are peformed to testify the validity and applicability of the proposed system. As a result, proposed method is relatively simple compared with the traditional space domain method. It is also well suited for motion tracking under the conditions of variation of illumination.

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A Comparative Study on Fault Detection Algorithm of AC Generator (교류 발전기의 고장 검출 알고리즘에 관한 비교 연구)

  • Park, Chul-Won;Shin, Kwang-Chul;Shin, Myong-Chul
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.57 no.2
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    • pp.102-108
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    • 2008
  • AC generator plays an important role of power system. The large AC generator fault may lead to large impacts or perturbations in power system. And then the protection of a generator has very important role in maintaining stability in a power system. In present, the DFT(discrete Fourier transform) based RDR(ratio differential relay) had been widely applied to a internal fault of a generator stator winding. But DFT has a serious drawback. In the course of transforming a target signal to frequency domain, time information is lost. DWT uses a time-scale region. This paper proposes an advanced fault detection algorithm using DWT(discrete Wavelet transform) to enhance the drawback of conventional DFT based relaying. To evaluate the performance of the proposed relaying, we used the test data which were sampled with 720 [Hz] per cycle and obtained from ATP(alternative transient program) simulation. And we made a comparative study of conventional DFT based RDR and the proposed relaying.

Infra-red Images Encryption in Color Domain (적외선 영상의 컬러 영역 암호화)

  • Choi, Hyun-jun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.542-543
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    • 2018
  • In this paper, we propose a method of visual information of original image by encrypting only partial data of infra-red image. In this method, the infra-red image is divided into R, G, and B channels, and the outline is searched for the three channel images. Then, an average value is calculated for each contour image, and a channel to be encrypted is selected. The wavelet transform is performed on the selected channel to encrypt only the LL subband in which the highest energy is concentrated. Experimental results show that the SSIM value is less than 0.09 in the case of the proposed encryption method.

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A Study on Invisibility Improvement of Watermarking Image (워터마킹 영상의 비가시성 개선에 관한 연구)

  • Min, Hye-Lan;Lee, Joon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.910-913
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    • 2005
  • The use of digital imaging technique and digital contents based on internet has grown rapidly for last several years, and the needs of digital image protection become more important. For the purpose of copyright protection on digital image, the verification of authentication techniques like content authentication, ownership authentication, illegal copy and etc are needed. Digital watermarking, the invisible encryption technique to insert digital watermark into image, the sophisticated perceptual information should be used for providing transparency and robustness of images on watermarking process. In this paper, we implement the algorithm for preventing forged attack, ownership protection and authentication by transforming the wavelet algorithms in frequency domain in terms of human visual system.

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Cut Detection Using Color Histogram and Energy Vector in Wavelet Transform Domain (웨이블릿 변환영역에서 칼라 히스토그램과 에너지 벡터를 이용한 컷 검출)

  • 김수정;정성환
    • Proceedings of the Korean Information Science Society Conference
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    • 2000.10b
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    • pp.467-469
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    • 2000
  • 본 논문은 웨이블릿 변환영역 하에서 칼라 히스토그램과 에너지 벡터를 이용한 컷검출 방법을 제안한다. 기존의 컷 검출 방법들은 대부분 공간영역과 변환영역 각각에 대한 특징을 이용해 컷을 검출하였다. 그러나 본 논문에서는 웨이블릿 변환영역 하에서도 공간영역 특성을 유지하는 LL밴드 상의 칼라 히스토그램과 LH와 HL밴드의 에너지 값을 변환영역 특성으로 함께 고려하였다. 최근 영상 압축 표준에 웨이블릿을 이용한 압축기법이 사용되고 있으므로, 제안한 방법은 웨이블릿 압축 영상에서 압축을 해제할 필요 없이 검출하는데 사용되어질 수 있다. 제안한 방법의 성능평가를 위하여 광고, 뉴스, 스포츠, 영화 등 5개 분야의 다양한 TV 프로그램에서 약 10,000개의 프레임으로 실험한 결과, Recall에서는 약 90%, Precision에서는 약 94%의 컷 검출 성능을 나타내었다.

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Fundamental Frequency Estimation based on Time-Frequency Analysis (시주파수 분석법을 이용한 음성의 기본주파수 검출)

  • Iem Byeong-Gwan
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.55 no.1
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    • pp.31-34
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    • 2006
  • A simple robust fundamental frequency estimator on the time-frequency domain is proposed. Combined with the appropriately designed low-pass filter, the instantaneous frequency estimator based on the Teager-Kaiser energy function can detect the fundamental frequency of speech signal. The Teager-Kaiser function can be obtained through real computation and show the change of frequency as time goes. And when a speech block with N samples is processed with a lowpass fille. with length of L, it requires $O(N{\cdot}(L+5))operations,$ compared to $O(N{\cdot}2log_2N+L))operations$ in the recently introduced wavelet and conventional instantaneous frequency method. The computer simulation confirms the usefulness of the proposed fundamental frequency estimation method.