• Journal of Broadcast Engineering
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• v.15 no.4
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• pp.591-599
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• 2010

In this paper, we propose a disparity-adaptive filtering method to reduce view-aliasing and inter-perspective aliasing on auto-multiscopic 3D display. View aliasing by the subsampled multi-view images could happen if the resolution of an auto-multiscopic monitor is lower than that of the original multi-view images. Furthermore, multi-view images on auto-multiscopic monitor usually cause eye strain and fatigue because of inter-perspective aliasing by discontinuity that exists between viewpoints. The greater disparity value becomes, the stronger these types of aliasing could be. Thus, we design a lowpass filter whose cut-off frequency is determined adaptively to the number of intermediate reconstructed views and their disparity's strength. Though experimental results, we show that the proposed filtering algorithm could reduce the aliasing effect very efficiently by using DSCQS (double stimulus continuous quality scale method).

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.8B
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• pp.1057-1069
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• 2001

오디오 부호화 시스템에 널리 쓰이는 시간 영역 엘리어싱 제거(TDAC) 필터 뱅크의 성능 개선을 위하여, 다중 중첩-합 구조를 바탕으로 한 개선된 TDAC 필터 뱅크를 제안하였다. 제안된 구조는 필터 뱅크의 분해 부분과 합성 부분 사이에서 발생하는 양자화 잡음의 효과를 줄이도록 제안되었다. 모의 실험을 통해 같은 양자화 비트 수를 사용하는 경우에 제안한 시스템이 SNR 측면에서 보다 나은 성능을 나타냄을 보였으며, 망 전송 데이터 양을 같게 한 경우에도 제안한 시스템이 더 적은 데이터 양의 블록 단위를 가질 수 있으므로 데이터 망의 혼잡 제어에 있어 보다 유리할 수 있음을 보였다.

• The Journal of the Korea Contents Association
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• v.2 no.4
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• pp.23-29
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• 2002

This paper suggest the image compression that is needed to process PACS in medical information system. The image decoding method is used Linear-predictor and Lloyd-Max quantizer(quantization) in the Wavelet transform domain. Wavelet Transform Method is processed the multi-resolution by dividing image into 10 sub-bands of 3 levels. Low frequency domain that is sensitive to human visual characteristic is encoded by DPCM which is lossless encoding methods, and Lloyed-Max quantizer, the optimal quantizer for reducing ringing and aliasing in the image of inter sub-band, is used in the remaining high frequency domain of sub-band. The examination verifies that decompressed images are superior by the result that PSNR is 28.53dB on the input image, 512$\times$152 abdominal CT image and Chest image.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1998.06a
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• pp.117-120
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• 1998

주파수 영역에서의 엘리어싱 관계를 이용하여 고해상도 영상을 복원할 때, 기존의 주파수 영역에서의 방법은 복원에 필요한 저해상도 영상이 충분하지 않거나, 저해상도 영상들이 가지는 정보가 적절하지 않을 경우에 대해서 원하는 고해상도의 영상을 얻을 수 없었다. 이를 극복하기 위해 공간 영역으로 재해석하면 확장된 다중채널의 정규화를 사용할 수 있었으며, DFT대신에 DCT를 사용하여 연산량을 줄일 수 있었다. 또한 정규화를 사용하였기 때문에 저해상도 영상의 움직임 정보가 올바르지 않을 경우에도 이를 보상해 줄 수 있었다.

• Journal of Korean Tunnelling and Underground Space Association
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• v.7 no.4
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• pp.269-283
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• 2005

To figure out the cause of underestimating the roughness and shear strength of rock joints suggested by numerous researchers, we analyzed roughness mobilization characteristics, characteristics of roughness parameters, effects of sampling interval, and waviness for roughness parameters. It was found out that lack of understanding of the roughness mobilization characteristics, inappropriate applications of roughness parameters, and effect of aliasing provide a main reasons for those problems. Several practical alternatives for improving those problems were suggested. As far as digitizing methods are concerned, we can find that using a 3D scanner can give a relatively effective result. To avoid aliasing, sampling interval should be less than one-quarter of the minimum asperities. As for the quantification of roughness, it was analyzed that the roughness parameter should be classified into two components depending on the scale of roughness to apply the shear strength model. For classifying the roughness, a framework of the criterion was suggested based on the plastic flow concept for the asperity failure, and the basis for proposing a new alternative shear strength model was established.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.8B
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• pp.1558-1566
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• 1999

While high resolution images are required for various applications, aliased low-resolution images are only available due to the physical limitations of sensors. In this paper, we propose an algorithm to reconstruct a high resolution image from multiple aliased low-resolution images, which is based on the generalized multichannel deconvolution technique. The conventional approaches are based on the discrete Fourier transform (DFT) since the aliasing effect is easily analyzed in the frequency domain. However, the useful solution may not be available in many cases, i.e., the underdetermined cases or the insufficient subpixel information cases. In order to compensate for such ill-posedness, the generalized multichannel regularization was adopted in the spatial domain. Furthermore, the usage of the discrete cosine transform instead of the DFT leads to the computationally efficient reconstruction algorithm. The validity of the proposed algorithm is both theoretically and experimentally demonstrated in this paper. It is also shown that the effect of inaccurate motion information is reduced by regularization.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.2
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• pp.169-178
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• 2001

The demand for high-resolution images is gradually increasing, whereas many imaging systems have been designed to allow a certain level of aliasing during image acquisition. Thus, digital image processing approaches have recently been investigated to reconstruct a high-resolution image from aliased low-resolution images. However, since the sub-pixel motion information is assumed to be accurate in most conventional approaches, the satisfactory high-resolution image cannot be obtained when the sub-pixel motion information is inaccurate. Therefore, in this paper we propose a new algorithm to reduce the distortion in the reconstructed high-resolution image due to the inaccuracy of sub-pixel motion information. For this purpose, we analyze the effect of inaccurate sub-pixel motion information on a high-resolution image reconstruction, and model it as zero-mean additive Gaussian errors added respectively to each low-resolution image. To reduce the distortion we apply the modified multi-channel image deconvolution approach to the problem. The validity of the proposed algorithm is both theoretically and experimentally demonstrated in this paper.

• The Transactions of the Korea Information Processing Society
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• v.3 no.4
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• pp.791-802
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• 1996

In this paper, we discuss a distributed shared memory management scheme based on multi-threaded programming model for a large-scale loosely coupled multiprocessor system. The scheme covers three major issues in the distribued shared memory;the address translation table management, the block coherence maintenance, and the block placement policy. The scheme efficiently resolves the general problems occurred in the distributed shared memory such as a false sharing, an unnecessary replication, a block bouncing, and an address aliasing phenomenon. It also provides the application transparency, good scalability, easy implementation, and multithreaded programming model to users.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 1994.10a
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• pp.317-322
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• 1994

본 연구에서는 원통면 음향 홀로그래피 방법에 대한 세밀한 고찰을 통하여 이 방법을 이용한 음장예측의 실제 적용에 도움을 주고자 한다. 먼저 원통면 음향 홀로그래피 방법의 기본적인 이론에 대한 고찰을 하였고, 원통면 음향 홀로그래피 방법의 실제 적용시 나타나는 창문함수의 영향(window effect)이나 공간상의 엘리어싱(spatial aliasing), 둘러싸기 오차(wraparound error)와 같은 오차에 대하여 모의 실험을 통하여 살펴보았다. 이러한 오차해석을 통하여 가능한 한 오차를 줄이고 신뢰할 수 있는 예측결과를 얻을 수 있는 측정조건을 제시하였으며, 오차를 감소시킬수 있는 Tukey 창문함수의 사용과 제로패딩(zero padding) 방법을 제시하였다. 이러한 기본적인 이해를 바탕으로 원통형 구조물의 방사음장을 예측하는 실험을 하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.4 no.2
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• pp.407-416
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• 2000

Adaptive digital filtering and noise cancelling technique using a tree structured filter bank are presented to reduce a undesirable aliasing due to the decimation of filtered output and improve the performance in terms of mean-square error and the convergence speed using a aliasing canceller. A signal is split into two subband by analysis filter bank and decimated by decimator and reconstructed by interpolation technique and synthesis filter bank. A variable step-size LMS algorithm is used to improve the convergence speed in case of existing the measurement noise in desired input of filter. It is shown by computer simulation that the proposed subband structure in this paper is superior to conventional subband filter structure in terms of mean-square error and convergence speed.