• Title/Summary/Keyword: TRANSFORM COEFFICIENTS

검색결과 765건 처리시간 0.026초

The Theory of the One-Dimensional Lattice Defects

  • Jhon, Mu-Shik;Kim, Shoon-Kyung
    • 대한화학회지
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    • 제15권4호
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    • pp.165-169
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    • 1971
  • A general method of calculating the frequency shift due to lattice defects is developed for a one dimensional lattice with an arbitrary number of lattice points. The method is based on the Fourier transform of the equation of motion. It is shown that the frequency spectrum is determined by the roots of 5${\times}$5 secular equation, the coefficients of which depend on defects in the mass and the force constant as well as the number of the lattice points. For the limiting case of infinite lattice, the dimension of the secular equation reduces to three and the result agrees with that of Montroll and Potts.

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분할 정렬 알고리즘의 개선을 통한 JPEG2000 정지영상 부호화에서의 압축 효율 개선 (Compression efficiency improvement on JPEG2000 still image coding using improved Set Partitioning Sorting Algorithm)

  • 주동현;김두영
    • 한국정보통신학회논문지
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    • 제9권5호
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    • pp.1025-1030
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    • 2005
  • 멀티 미디어 사용의 증가에 따라 정보화 사회에 있어 정지 영상 정보를 높은 압축율로 방대한 데이터를 얼마나 빠르게 에러없이 전송 또는 처리 하는가 하는 문제가 요구 되어지고 있다. 본 논문은 정지영상 인코딩 분야에서 다양한 기능과 압축 성능을 보이고 있는 JPEG2000 압축효율 향상을 위하여 저주파 대역에 대한 부호화를 제거하고, 중복비트 제거를 이용한 개선된 분할정렬 알고리즘을 이용하여 웨이블렛 계수를 줄이는 방법을 제안하였다. 실험결과, 제안한 방법을 통해 기존의 JPEG2000 표준보다 더 우수한 양질의 성능과 저 비트율을 확인할 수 있었다.

IMAGE DENOISING BASED ON MIXTURE DISTRIBUTIONS IN WAVELET DOMAIN

  • Bae, Byoung-Suk;Lee, Jong-In;Kang, Moon-Gi
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.246-249
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    • 2009
  • Due to the additive white Gaussian noise (AWGN), images are often corrupted. In recent days, Bayesian estimation techniques to recover noisy images in the wavelet domain have been studied. The probability density function (PDF) of an image in wavelet domain can be described using highly-sharp head and long-tailed shapes. If a priori probability density function having the above properties would be applied well adaptively, better results could be obtained. There were some frequently proposed PDFs such as Gaussian, Laplace distributions, and so on. These functions model the wavelet coefficients satisfactorily and have its own of characteristics. In this paper, mixture distributions of Gaussian and Laplace distribution are proposed, which attempt to corporate these distributions' merits. Such mixture model will be used to remove the noise in images by adopting Maximum a Posteriori (MAP) estimation method. With respect to visual quality, numerical performance and computational complexity, the proposed technique gained better results.

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Realization for Image Distortion Correction Processing System with Fisheye Lens Camera

  • Kim, Ja-Hwan;Ryu, Kwang-Ryol;Sclabassi, Robert J.
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2007년도 추계종합학술대회
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    • pp.281-284
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    • 2007
  • A realization for image distortion correction processing system with DSP processor is presented in this paper. The image distortion correcting algorithm is realized by DSP processor for focusing on more real time processing than image quality. The lens and camera distortion coefficients are processed by YCbCr Lookup Tables and the correcting algorithm is applied to reverse mapping method for geometrical transform. The system experimentation results in the processing time about 34.6 msec on $720{\times}480$ curved image at 150 degree visual range.

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Iris Segmentation and Recognition

  • Kim, Jae-Min;Cho, Seong-Won
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제2권3호
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    • pp.227-230
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    • 2002
  • A new iris segmentation and recognition method is described. Combining a statistical classification and elastic boundary fitting, the iris is first segmented robustly and accurately. Once the iris is segmented, one-dimensional signals are computed in the iris and decomposed into multiple frequency bands. Each decomposed signal is approximated by a piecewise linear curve connecting a small set of node points. The node points represent features of each signal. The similarity measture between two iris images is the normalized cross-correlation coefficients between simplified signals.

페놀계 모델 화합물 및 폴리벤조옥사진 수지에 대한 수소결합분포의 정량화 (Quantification for the Distribution of Hydrogen Bonding Species in Phenolic Model Compounds and Polybenzoxazines)

  • 김호동;문화연
    • 한국염색가공학회지
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    • 제20권4호
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    • pp.21-30
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    • 2008
  • To understand the complex hydrogen bonding structure, several phenolic derivatives and benzoxazine model compounds are synthesized and characterized by Fourier transform infrared spectroscopy (FT-IR). The estimation of molar extinction coefficients for various types of hydrogen bonding species is systematically carried out by the curve-resolving of FT-IR spectra. The distribution of hydrogen bonding species in benzoxazine model dimers is quantitatively analyzed. It is revealed that benzoxazine dimers and BA-a polybenzoxazine are mainly composed of intramolecular interaction rather than intermolecular interaction.

Graphical Video Representation for Scalability

  • Jinzenji, Kumi;Kasahara, Hisashi
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 1996년도 Proceedings International Workshop on New Video Media Technology
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    • pp.29-34
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    • 1996
  • This paper proposes a new concept in video called Graphical Video. Graphical Video is a content-based and scalable video representation. A video consists of several elements such as moving images, still images, graphics, characters and charts. All of these elements can be represented graphically except moving images. It is desirable to transform these moving images graphical elements so that they can be treated in the same way as other graphical elements. To achieve this, we propose a new graphical representation of moving images using spatio-temporal clusters, which consist of texture and contours. The texture is described by three-dimensional fractal coefficients, while the contours are described by polygons. We propose a method that gives domain pool location and size as a means to describe cluster texture within or near a region of clusters. Results of an experiment on texture quality confirm that the method provides sufficiently high SNR as compared to that in the original three-dimensional fractal approximation.

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A contour coding algorithm using DST

  • Kim, Jong-Lak;Kim, Jin-Hum;Park, Choong-Soo;Kim, Han-Soo
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 1996년도 Proceedings International Workshop on New Video Media Technology
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    • pp.61-66
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    • 1996
  • In this paper, an efficient contour coding algorithm incorporating polygonal approximation and discrete sine transform is introduced. Contour information is inevitable in content based coding, and polygonal approximation method is widely used to compress the contour information. However polygonal approximation method is not suitable when fine contour is needed. We show that the error signal of polygonal approximation can be efficiently represented using DST, that is, the contour information can be represented accurately with polygons and DST coefficients. With this contour coding scheme, the required bits to represent a contour can be reduced by about 40-50% with virtually no degradation compared to the existing chain coding method.

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연속시간 유한정정제어기의 설계방법 고찰 (A Study on the Design Method of a Continuous Time Deadbeat Controller)

  • 김성열;이금원
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.326-326
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    • 2000
  • Continuous time system deadbeat controller(CdbC) has been studied mainly since 1992 especially by Japan researchers. They suggested delay elements. These elements stem from the finite Laplace Transform which is the starting point in deadbeat control system design in continuous time system. Every transfer function is established by these elements. From some conditions such as internal model stability and peasibility of a CdbC controller. unknown polynomials or coefficients can be calculated. In this paper, optimal pole placement of the closed loop system is suggested. From this. a CdbC controller with lower order can be obtained which attains the same level of weighted sensitivity function's H$_{\infty}$ norm used as a measure of the robustness property as existing CdbCs.

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LVQ 신경망을 이용한 간질 파형검출 (The Detection of Interictal Epileptic Waveform Using LVQ Network)

  • 최혜원;윤영로;이성수
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1998년도 추계학술대회
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    • pp.205-206
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    • 1998
  • In this paper, we present the detection algorithm of interictal epileptic waveform using LVQ network and wavelet transform. First wavelet coefficients is used to represent the characteristics of a single channel EEG wave, and make a number of neural network input node smaller. Then, three-layer neural network employing LVQ network is trained and tested using parameters obtained from the first stage. This study showed that preprocessed EEG data can be successfully used to train ANNs to detect epileptogenic discharges with a high success.

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