• Title/Summary/Keyword: wavelet technique

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Zerotree Entropy Based Coding of Stereo Video Sequences

  • Thanapirom, S.;Fernando, W.A.C.;Edirisinghe, E.A.
    • Proceedings of the IEEK Conference
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    • 2002.07b
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    • pp.908-911
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    • 2002
  • Over the past 30 years, many efficient 2D video coding techniques have been presented and developed from many research centers for commercialization. However, direct application of these monocular compression schemes is not optimal for stereo video coding. In this paper, we present a new technique for coding stereo video sequences based on Discrete Wavelet Transform (DWT). The proposed technique exploits Zerotree Entropy Coding (ZTE) that makes use of the wavelet block concept to achieve low bit rate stereo video coding. The one of two image streams, called main stream, is independently coded by modified MPEG-4 encoder and the other stream, called auxiliary stream, is coded by predicting from its corresponding image, its previous image or its follow image.

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Model-Free Hybrid Fault Detection and Isolation For UAV Inertial Measurement Sensors (무인기 관성측정 센서의 비모델 복합 고장진단기법)

  • Kim, Seung-Keun;Kim, You-Dan
    • Journal of Institute of Control, Robotics and Systems
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    • v.11 no.3
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    • pp.200-206
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    • 2005
  • In this paper, a redundancy management system for aircraft is studied, and FDI (Fault Detection and Isolation) algorithm of inertial sensor system is proposed. UAV system cannot allow triple or quadruple hardware redundancy due to the limitations on space and weight. In the UAV system with dual sensors, it is very difficult to identify the faulty sensor. Also, conventional FDI method cannot isolate multiple faults in a triple redundancy system. In this paper, hardware based FDI technique is proposed, which combines a parity equation approach with the wavelet based technique, which is a model-free FDI method. To verify the effectiveness of the proposed FDI method, numerical simulations are performed.

Hiding Digital Watermark for Increasing Trust in E-Commerce

  • Moon, Ho--Seok;Sohn, Myung--Ho
    • Proceedings of the CALSEC Conference
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    • 2004.02a
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    • pp.223-226
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    • 2004
  • Several studies have shown that the trust is a significant barrier for realizing the potential of e-commerce. Trust is not only a short-term issue but also the most significant long-term barrier for realizing the potentials of e-commerce. Because digital contents which have been used in e-commerce are easy to be duplicated, the enforcement of digital copyright protection is an important issue. Watermarking is a technique for labeling digital pictures by hiding secret information in the image. In this paper, a discrete wavelet transform(DWT) based technique for embedding digital watermark into image is proposed. The performance of the proposed watermarking is robust to a variety of signal distortions, such as JPEG and image processing operations.

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A Low Frequency Band Watermarking with Weighted Correction in the Combined Cosine and Wavelet Transform Domain

  • Deb, Kaushik;Al-Seraj, Md. Sajib;Chong, Ui-Pil
    • Journal of the Institute of Convergence Signal Processing
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    • v.14 no.1
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    • pp.13-20
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    • 2013
  • A combined DWT and DCT based watermarking technique of low frequency watermarking with weighted correction is proposed. The DWT has excellent spatial localization, frequency spread and multi-resolution characteristics, which are similar to the theoretical models of the human visual system (HVS). The DCT based watermarking techniques offer compression while DWT based watermarking techniques offer scalability. These desirable properties are used in this combined watermarking technique. In the proposed method watermark bits are embedded in the low frequency band of each DCT block of selected DWT sub-band. The weighted correction is also used to improve the imperceptibility. The extracting procedure reverses the embedding operations without the reference of the original image. Compared with the similar approach by DCT based approach and DWT based approach, the experimental results show that the proposed algorithm apparently preserves superiori mage quality and robustness under various attacks such as JPEG compression, cropping, sharping, contrast adjustments and so on.

A Study on the Performance Comparison of WOFDM and COFDM in T-DMB System (T-DMB 시스템에서 WOFDM과 COFDM의 성능비교에 관한 연구)

  • Li, Er-Ke;Kim, Han-Jong
    • Proceedings of the KAIS Fall Conference
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    • 2011.05a
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    • pp.421-424
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    • 2011
  • As the demand of the high-speed transmission between fast moving mobile objects is increasing, more ideas are coming out to improve the channel distortion for such cases. WOFDM(Wavelet-based Orthogonal Frequency Division Multiplexing) is the most brilliant one among them, which combines the advantages of wavelet transform technique and OFDM technique, and it has been implemented into the PLC (Power Line communication) system. In this paper, we are trying to describe a comparative study on COFDM (Fourier-base OFDM) and WOFDM in the conventional T-DMB system. From the simulation results, we can see that the performances of COFDM and WOFDM are nearly same under the AWGN channel. However, WOFDM outperforms COFDM under the time-invariant Rayleigh fading channel.

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Sparse Kernel Independent Component Analysis for Blind Source Separation

  • Khan, Asif;Kim, In-Taek
    • Journal of the Optical Society of Korea
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    • v.12 no.3
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    • pp.121-125
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    • 2008
  • We address the problem of Blind Source Separation(BSS) of superimposed signals in situations where one signal has constant or slowly varying intensities at some consecutive locations and at the corresponding locations the other signal has highly varying intensities. Independent Component Analysis(ICA) is a major technique for Blind Source Separation and the existing ICA algorithms fail to estimate the original intensities in the stated situation. We combine the advantages of existing sparse methods and Kernel ICA in our technique, by proposing wavelet packet based sparse decomposition of signals prior to the application of Kernel ICA. Simulations and experimental results illustrate the effectiveness and accuracy of the proposed approach. The approach is general in the way that it can be tailored and applied to a wide range of BSS problems concerning one-dimensional signals and images(two-dimensional signals).

Robust Control of Planar Biped Robots in Single Support Phase Using Intelligent Adaptive Backstepping Technique

  • Yoo, Sung-Jin;Park, Jin-Rae;Choi, Yoon-Ho
    • International Journal of Control, Automation, and Systems
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    • v.5 no.3
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    • pp.269-282
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    • 2007
  • This paper presents a robust control method via the intelligent adaptive backstepping design technique for stable walking of nine-link biped robots with unknown model uncertainties and external disturbances. In our control structure, the self recurrent wavelet neural network(SRWNN) which has the information storage ability is used to observe the uncertainties of the biped robots. The adaptation laws for all weights of the SRWNN are induced from the Lyapunov stability theorem, which are used for on-line controlling biped robots. Also, we prove that all signals in the closed-loop adaptive system are uniformly ultimately bounded. Through computer simulations of a nine-link biped robot with model uncertainties and external disturbances, we illustrate the effectiveness of the proposed control system.

Wavelet based Watermarking Technique for the Digital Contents Protection (지적재산권 보호를 위한 웨이블릿 기반 워터마킹 기술)

  • 송학현;김윤호
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.4
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    • pp.912-917
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    • 2004
  • The increase of illegal usage and conflict in digital content market would diminish motivation of creators for their work, furthermore break down digital content market on cyber-space. Watermarking technology support to the legal users by the protection technique based on the digital content copyright protection method(DRM). Most of previous digital watermarking have embeded to the content. In this paper, we propose a wavelet based watermarking method which is used for implementing in the frequency domain.

Invisibility Improvement of Watermarking Image Based on Wavelet (웨이브릿 기반의 워터마킹 영상의 비가시성 개선)

  • Kim Hyeong-Gyun;Kim Yong-Ho;Lee Sang-Beom;Bae Yong-Guen
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2006.05a
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    • pp.717-720
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    • 2006
  • 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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Study on the Characteristics of Wavelet Decomposed Details of Low-Velocity Impact Induced AE Signals in Composite Laminaes (저속충격에 의해 발생한 복합적층판 음향방출신호의 웨이블릿 분해 특성에 관한 연구)

  • Bang, Hyung-Joon;Kim, Chun-Gon
    • Journal of the Korean Society for Nondestructive Testing
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    • v.29 no.4
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    • pp.308-315
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    • 2009
  • Because the attenuation of AE signal in composite materials is relatively higher than that of metallic materials, it is required to develop a damage assessment technique less affected by the attenuation property of composite materials in order to use AE sensing as a damage detection method. In the signal processing procedure, it is profitable to use the leading wave that arrives first because the leading wave is less influenced by the boundary conditions. Using wavelet transform, we investigated the frequency characteristics of impact induced AE signals focused on the leading wave in advance and chose the key factors to discriminate the damaged condition quantitatively. In this research, we established a damage assessment technique using the sharing percentage of the wavelet detail components of AE signal, and conducted a low-velocity impact test on composite laminates to confirm the feasibility of the proposed signal processing method.