• Title/Summary/Keyword: Rate Distortion

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종합병원관리 전산화 System-MEDIOS

  • 이승훈
    • Journal of Biomedical Engineering Research
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    • v.3 no.1
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    • pp.55-58
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    • 1982
  • In this paper, a method for camera position estimation in gaster using elechoendoscopic image sequence is proposed. In order to obtain proper image sequences, the gaster in divided into three sections. It is presented that camera position modeling for 3D information extraction and image distortion due to the endoscopic lenses is corrected.The feature points are represented with respect to the reference coordinate system belpw 10 percents error rate. The faster distortion correction algorithm is proposed in this paper. This algorithm uses error table which is faster than coordinate transform method using n-th order polynomials.

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PAPR reduction algorithm using Hadamard transform and phase shift in OFDM systems (Hadamard 변환과 위상 천이를 이용한 OFDM 시스템의 PAPR 감소 기법)

  • 구현철
    • Proceedings of the IEEK Conference
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    • 2001.06a
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    • pp.233-236
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    • 2001
  • Orthogonal freqency division multiplexing (OFDM) is an attractive technique for achieving high-bit-rate wireless data transmission. However, the potentially large peak-to-average power ratio (PAPR) has limited its application; An OFDM signal with the large PAPR can cause power degradation (In-band distortion) and spectral spreading (Out-of-band distortion) by being clipped passing through a power amplifier. Thus, we propose the combining algorithm of Hadamard transform and phase shift, which is ascribed to the relation between the correlation of the IFFT input sequence function and PAPR. Extensive computer simulations show that the combining algorithm is an effective technique to reduce PAPR.

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An Embedded Video Compression Scheme Using a Three-Dimensional Rate-Distortion Optimization Based Block Coder (3차원 비트율-왜곡 최적화 기반 블록 부호화를 이용하는 임베디드 비디오 압축 방법)

  • Yang, Chang Mo;Chung, Kwangsue
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.10
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    • pp.1155-1166
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    • 2016
  • In this paper, we propose a new embedded video compression scheme which uses three-dimensional rate-distortion optimization based block coder. After the proposed scheme removes temporal redundancy by applying the motion compensated temporal filtering(MCTF) on input video frames, two dimensional discrete wavelet transform is applied on video frames to remove spatial redundancy. The three-dimensional wavelet coefficients generated in this way are sorted according to their expected rate-distortion slope and encoded by using the three-dimensional block partition coding method. The proposed scheme also uses both the effective color video coding method which maintains embedded features, and the efficient bit-rate control method. Experimental results demonstrate that the proposed scheme not only produces embedded bit-streams, but also outperforms existing video compression schemes.

Automatic Estimation of Spatially Varying Focal Length for Correcting Distortion in Fisheye Lens Images

  • Kim, Hyungtae;Kim, Daehee;Paik, Joonki
    • IEIE Transactions on Smart Processing and Computing
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    • v.2 no.6
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    • pp.339-344
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    • 2013
  • This paper presents an automatic focal length estimation method to correct the fisheye lens distortion in a spatially adaptive manner. The proposed method estimates the focal length of the fisheye lens by generating two reference focal lengths. The distorted fisheye lens image is finally corrected using the orthographic projection model. The experimental results showed that the proposed focal length estimation method is more accurate than existing methods in terms of the loss rate.

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Adaptive Precompensation of Wiener Systems

  • Kang, Hyun-Woo;Bae, Ki-Taek;Cho, Yong-Soo;Youn, Dae-Hee
    • The Journal of the Acoustical Society of Korea
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    • v.15 no.2E
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    • pp.50-59
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    • 1996
  • In this paper, an adaptive precompensator, which can reduce the distortion of a Wiener system effectively, is proposed. The previous techniques for adaptive precompensation, based on the Volterra series modeling to compensate the distortion of a nonlinear system, are not suitable for real-time implementation due to high computational burden and slow convergence burden and slow convergence rate. This paper presents an adaptive precompensation technique for the class of nonlinear subsystem, referred to as Wiener system. An adaptive algorithm for adjusting the parameters of a precompensator, structured by a hammerstein model, is derived using the stochastic gradient method. Also, an adaptive precompensatin technique which can effectively reduce nonlinear distortion in μ-law type of saturation characteristics is proposed. The validity of the proposed algorithm is confirmed through simulation by applying it to known Wiener systmes and a typical loudspeaker model.

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Distribution of Target Bits based on Size, Motion and Distortion (크기, 움직임 및 왜곡 정보에 의한 목표비트 분배)

  • 지석상;황재정;이문호
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.4 no.5
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    • pp.1085-1093
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    • 2000
  • An efficient bit rate distribution technique that distributes available bits for multiple objects based on motion vector magnitude, size of object shape, and coding distortion is presented. This coding concept using the three parameters was exploited in MPEG-4 multiple object coding. But the scheme is likely to produce poor results such as allocating more bits to less important objects and degrading picture quality, due to the lack of analysis and research in view of human visual aspect. In this paper importance of each object is represented by the three parameters and visually analyzed. Target bits are distributed according to coding distortion using the pre-assigned shape and motion information.

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Echo canceller compensating a nonlinear distortion of D/A converter (D/A 젼환기의 비선형왜곡을 보상하는 Echo Canceller)

  • Jeong, Gi-Seog
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.32A no.3
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    • pp.10-17
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    • 1995
  • this thesis proposes a new echo canceller that can be used in a fulll-duplex digital subscriber loopmodem. The modem suffers from nonlinear distortion such as transmitted pulse asymmetry, saturation in transformers, and nonlinearity of data converters. The proposed nonlinear echo canceller can compensate the nolinear distortion by using a nonlinear digital filter based on canonical pieceewise-linear (CPWL) function. Numerical results based on computer simulation are given in this paper. It is shown that the convergence characteristics depend on the initial values of weights of linear filters with absoluters and that the nonlinearity in digital-to-analog(D/A) converter can be compensated by a relatively small number linear filters with absoluters. It is also shown that the proposed algorithm has a faster convergence rate in comparison with Voterra algorithm.

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Multidimensional uniform cubic lattice vector quantization for wavelet transform coding (웨이브렛변환 영상 부호화를 위한 다차원 큐빅 격자 구조 벡터 양자화)

  • 황재식;이용진;박현욱
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.7
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    • pp.1515-1522
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    • 1997
  • Several image coding algorithms have been developed for the telecommunication and multimedia systems with high image quality and high compression ratio. In order to achieve low entropy and distortion, the system should pay great cost of computation time and memory. In this paper, the uniform cubic lattice is chosen for Lattice Vector Quantization (LVQ) because of its generic simplicity. As a transform coding, the Discrete Wavelet Transform (DWT) is applied to the images because of its multiresolution property. The proposed algorithm is basically composed of the biorthogonal DWT and the uniform cubic LVQ. The multiresolution property of the DWT is actively used to optimize the entropy and the distortion on the basis of the distortion-rate function. The vector codebooks are also designed to be optimal at each subimage which is analyzed by the biorthogonal DWT. For compression efficiency, the vector codebook has different dimension depending on the variance of subimage. The simulation results show that the performance of the proposed coding mdthod is superior to the others in terms of the computation complexity and the PSNR in the range of entropy below 0.25 bpp.

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JND based Video Pre-processing Adaptive to Quantization Step sizes for Perceptual Redundancy Reduction (시각적 인지 중복성 제거를 위해 양자화 크기값에 적응적인 최소 인지 왜곡 기반 전처리 방법)

  • Ki, Sehwan;Kim, Munchurl
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2016.11a
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    • pp.100-102
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    • 2016
  • 본 논문에서는 기존의 인지 영상 부호화에 사용되던 Just Noticeable Distortion(JND) 보다 더 압축에 적합한 모델인 Just Noticeable Quantization Distortion(JNQD) 모델을 제시하고, 이를 사용한 인지적 영상 압축 방법을 제안한다. 제안하는 인지적 영상 압축 방식은 영상 코덱 내부의 Rate-Distortion Optimization(RDO)을 수정하지 않고 입력되는 영상의 불필요한 정보들을 미리 제거하는 전처리 과정으로서, JNQD 모델을 사용하여 보다 간단하면서 압축 효율을 크게 증가 시킬 수 있다. 기존 영상 압축의 전처리 방법들은 부호화기의 양자화 값을 전처리 과정에서 고려하지 못하여 부정확한 인지 중복성 제거 결과를 초래하였으나, 제안하는 방법은 영상의 특성뿐만 아니라 양자화 크기 값을 고려하여 적응적으로 인지 왜곡이 발생하지 않는 주관적 인지 중복성 제거를 전처리 과정에서 수행할 수 있다. 거의 유사한 주관적 품질 수준을 유지하면서 HEVC 참조 소프트웨어 대비 약 15%의 압축효율 향상을 보인다.

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