• 한국인터넷방송통신학회논문지
• /
• 제8권4호
• /
• pp.67-73
• /
• 2008

마코브 랜덤 필드로 모델링한 마코브 네트워크에서 신뢰확산 알고리즘은 각각의 화소에 대응하는 노드들 사이의 메시지 이동에 의해 동작한다. 신뢰확산 알고리즘은 정확한 결과를 얻기 위해 많은 수의 반복 연산을 요구하게 된다. 본 논문에서는 다해상도 영역에서 신뢰확산 알고리즘을 적용한 스테레오 정합 알고리즘을 제안한다. 웨이브렛 또는 리프팅에 기반한 다해상도 변환은 스테레오 정합 알고리즘에서 탐색 영역을 줄일 수 있는 장점 갖기 때문에 고속의 연산을 통해 변이 영상을 생성할 수 있다.

• 한국전자파학회논문지
• /
• 제7권4호
• /
• pp.328-335
• /
• 1996

The numerical dispersive characteristics and the numerical stability confition of the Multi-Resolution Time-Domain(MRTD) method are calculated. A dispersion analysis of the MRTD schemes including a comparison to Yee's Finite-Difference Time-Domain(FDTD) method is given. The superiority of the MRTD method to the spatial discretization is shown. The required computational memory can be reduced by using the MRTD method. We expect that the MRTD method will be very useful method for numerical modelling of electromagnetics.

• 한국통신학회논문지
• /
• 제21권10호
• /
• pp.2724-2730
• /
• 1996

In this paper, the dispersive characteristics of the Finite-Difference Frqequency-Domain method based on the Multi-Resolution Technique(MR-FDFD) are numerically analyzed. A dispersion analysis of the MR-FDFD ority of the MR-FDFD method to the spatial discretization is shown. We expect that the multi-resoluation technique will improve the disavantage of the finite difference techqnique which needs the large comutational memory for accurate electromagnetic analysis.

• 한국전산유체공학회지
• /
• 제20권4호
• /
• pp.44-50
• /
• 2015

The computational efficiency of flow simulations with Multi-resolution analysis (MRA) was enhanced via the boundary treatment of the computational domain. In MRA, an adaptive dataset to a solution is constructed through data decomposition with interpolating polynomial and thresholding. During the decomposition process, the basis points of interpolation should exceed the boundary of the computational domain. In order to resolve this problem, the weight coefficients of interpolating polynomial were adjusted near the boundaries. By this boundary treatment, the computational efficiency of MRA was enhanced while the numerical accuracy of a solution was unchanged. This modified MRA was applied to two-dimensional steady Euler equations and the enhancement of computational efficiency and the maintenance of numerical accuracy were assessed.

• 대한전자공학회:학술대회논문집
• /
• 대한전자공학회 2006년도 하계종합학술대회
• /
• pp.447-448
• /
• 2006

In this paper, we propose tracking algorithm using multi resolution in wavelet transform domain. This algorithm consists of two steps. The first step is feature extraction that is select feature-points using 1-level wavelet transform in ROI (Region of Interest). The other step is feature tracking. Based on multi resolution of wavelet transform, we estimate a displacement between current frame and next frame on the basis of selected feature-points. Experimental results show that the proposed algorithm confirmed a better performance than a centroid tracking and correlation tracking.

• IEIE Transactions on Smart Processing and Computing
• /
• 제3권5호
• /
• pp.271-274
• /
• 2014

Bayesian based Multi-Frame Super-Resolution (MF-SR) has been used as a popular and effective SR model. On the other hand, the texture region is not reconstructed sufficiently because it works on the spatial domain. In this study, the MF-SR method was extended to operate on the frequency domain to improve HF information as much as possible. For this, a spatially weighted bilateral total variation model was proposed as a regularization term for a Bayesian estimation. The experimental results showed that the proposed method can recover the texture region more realistically with reduced noise, compared to conventional methods.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2005년도 ICCAS
• /
• pp.2006-2009
• /
• 2005

This paper presents a method for registering images using phase correlation technique in fourier domain, hough transform and multi-resolution wavelet. To register images, source and input images are transformed to wavelet domain. An angular transition can be obtained by applying hough transform technique followed by phase correlation. Then we apply phase correlation technique to find x-axis and y-axis transition. We apply wavelet transform to reduce processing time and also use its coefficients as edge information instead of canny detector. With multi-resolution property of wavelet transform, registration time can be greatly reduced. After we get all transition parameters, we transform the input images according to these parameters. Then, we compose and blend all images into a new large image with details of all source images. From our experiment, we can find the accurate transition both x-y translation and angular transition with less error.

• Journal of Information Processing Systems
• /
• 제16권4호
• /
• pp.991-1000
• /
• 2020

We propose a content-based image retrieval system that uses a combination of completed local binary pattern (CLBP) and color autocorrelogram. CLBP features are extracted on a multi-resolution multi-direction filtered domain of value component. Color autocorrelogram features are extracted in two dimensions of hue and saturation components. Experiment results revealed that the proposed method yields a lot of improvement when compared with the methods that use partial features employed in the proposed method. It is also superior to the conventional CLBP, the color autocorrelogram using R, G, and B components, and the multichannel decoded local binary pattern which is one of the latest methods.

• 전자공학회논문지B
• /
• 제33B권8호
• /
• pp.50-59
• /
• 1996

In this paper, a new hierarchical motion estiamtion scheme using the wavelet transformed multi-resolution image layers is proposed. Compared with the full search motion estimation method, the existing hierarchical methods remarkably reduce the amount of the computation but their efficiencies are depreciated by the local minima problem. In order to solve the local minima problem, the multi-resolution image layers are composed using the wavelet transform and the number of layers participated in the motion estimation for a block is determined by considering of its low band energy and higher band energy on the first wavelet transformed layer. The ratio between higher band energy and low band energy of each block is evaluated and in the case of the blocks which include relatively large higher band energy, the motion estimation is carried out in the high resolution layer. Otherwise, all layers are used. The final motion vectors are obtained in the first wavelet transformed layer. So less bits for motion vectors are transmitted, and the decomposition of received image using inverse wavelet transform decreases the blocking effect.

• 한국전자파학회논문지
• /
• 제12권7호
• /
• pp.1131-1138
• /
• 2001

본 논문에서는 기존의 Compact 2D FDTD(Finite-Difference Time-Domain)에 대한 고속화 알고리즘으로써 Haar 웨이블릿 기반 Compact 2D MRTD(MultiResolution Time-Domain) 차분식을 제안하였다. 구현된 알고리즘을 이용하여 내부가 공기로 태워져 있는 구형 도과관과 포과관 내부치 일부가 유전체로 채워져 있는 구형 도파관을 해석하였다. 본 논문의 결과는 기존의 Compact 2D FDTD치 결과 및 해석적인 해와 매우 잘 일치한다. 또한 계산 소요시간이 기존의 Compact 2D FDTD에 비해 절반 가까이 절약되었음을 확인하였다. 제안된 알고리즘은 도파관 구조의 분산 특성 연구에 있어 효율적인 고속화 기술로서 의미가 있다고 할 수 있다.