• Title/Summary/Keyword: 국부 통계

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An Adaptive Noise Detection and Modified Gaussian Noise Removal Using Local Statistics for Impulse Noise Image (국부 통계 특성을 이용한 임펄스 노이즈 영상의 적응적 노이즈 검출 및 변형된 형태의 Gaussian 노이즈 제거 기법)

  • Nguyen, Tuan-Anh;Song, Won-Seon;Hong, Min-Cheol
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.11a
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    • pp.179-181
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    • 2009
  • In this paper, we propose an adaptive noise detection and modified Gaussian removal algorithm using local statistics for impulse noise. In order to determine constraints for noise detection, the local mean, variance, and maximum values are used. In addition, a modified Gaussian filter that integrates the tuning parameter to remove the detected noises. Experimental results show that our method is significantly better than a number of existing techniques in terms of image restoration and noise detection.

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Denosing of images using locally adaptive wiener filter in wavelet domain (웨이브렛 변환 영역에서의 국부적응 Wiener 필터에 의한 영상 신호의 잡음 제거)

  • 장익훈;김남철
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.12
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    • pp.2772-2782
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    • 1997
  • In this paepr, a Wiener filtering method in wavelet domain is proposed for restoring an image corrupted by additive white noise. The proposed method utilizes the characteristics of wavelet transform signals and the local statistics of each subband. When estimating the local statistics in each subband, the size of filter window is varied according to each scale. At this point, the local statistics in each wavelet subband is estimated only by using pixedls which have similar statistical property. Experimental results show that the proposed method has better performance over the conventional Lee filter with a window of fixed size.

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Image Enhancement for Epigraphic Image Using Adaptive Process Based on Local Statistics (국부통계근거 적응처리에 의한 금석문영상 향상)

  • Hwang, Jae-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.2 s.314
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    • pp.37-45
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    • 2007
  • We propose an adaptive image enhancement method for epigraphic images, which is based on local statistics. Local statistics of the image are utilized for adaptive realization of the enhancement, that controls the contribution of the smoothing or sharpening paths. Image contrast enhancement occurs in details and noises are suppressed in smooth areas. For modeling the epigraphic image, pre~process is achieved by HSDI(Hanzi squeezed digital image). We have calculated the local statistics from this HSDI model. Application of this approach to HSDI has shown that processing not only smooths the background areas but also improves the subtle variations of edges, so that the word regions can be enhanced. Experimental results show that the proposed algorithm has better performance than the conventional image enhancement ones.

An Adaptive Noise Removal Method Using Local Statistics and Generalized Gaussian Filter (국부 통계 특성 및 일반화된 Gaussian 필터를 이용한 적응 노이즈 제거 방식)

  • Song, Won-Seon;Nguyen, Tuan-Anh;Hong, Min-Cheol
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.1C
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    • pp.17-23
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    • 2010
  • In this paper, we present an adaptive noise removal method using local statistics and generalized Gaussian filter. we propose a generalized Gaussian filter for removing noise effectively and detecting noise adaptively using local statistics based human visual system. The simulation results show the objective and subjective capabilities of the proposed algorithm.

Adaptive Image Enhancement Algorithm using Local Statistics (국부통계특성을 이용한 적응적 영상 Enhancement 알고리듬)

  • Kim Kyoung Ho;Hong Min-Cheol
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2004.11a
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    • pp.71-74
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    • 2004
  • 본 논문에서는 MAP(maximum a posteriori) 추정방식과 국부통계특성을 이용한 적응적 영상 향상 방법을 제안한다. 원 영상의 에지를 보존 할 수 있는 MAP추정 방식과 인간의 시각 특성을 나타내는 시각 함수를 이용한 가중치 행렬을 사용하였다. MAP 추정 방식은 컨벡스 함수를 최적화하여 원 영상의 에지를 보존하는 방법을 이용하였으며, 시각 함수는 국부 정보의 평균, 분산을 이용하여 정의하였다. 제안 방식으로부터 국부영역의 비용함수에 의해 발생되는 스무딩 정도를 다르게 하여 보간된 영상의 화질을 개선시킨다. 제안된 방식의 성능을 실험 결과로부터 확인한 수 있었다.

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A Proposal for Strength Formula of Web Crippling in Trapezoidal Sheeting (데크플레이트의 웨브국부좌굴에 관한 내력식 제안)

  • Shin, Tae Song
    • Journal of Korean Society of Steel Construction
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    • v.13 no.6
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    • pp.641-649
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    • 2001
  • It is proposed in this paper the practical load carrying capacity formula for web crippling in trapezoidal sheeting (deckplate). The parameter functions are derived by investigation of the major parameters influencing of load carrying capacity based on the existing theoretical research with experiment analogical interpretation model. The simple strength formula is proposed in analytic comparison of each parameters with the existing experimental data. From statistical evaluations due to Annex Z of Eurocode 3 the partial safety resistance factors ${\gamma}_M$ are calculated and compared with the target value of 1.1.

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Adaptive MAP High-Resolution Image Reconstruction Algorithm Using Local Statistics (국부 통계 특성을 이용한 적응 MAP 방식의 고해상도 영상 복원 방식)

  • Kim, Kyung-Ho;Song, Won-Seon;Hong, Min-Cheol
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.12C
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    • pp.1194-1200
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    • 2006
  • In this paper, we propose an adaptive MAP (Maximum A Posteriori) high-resolution image reconstruction algorithm using local statistics. In order to preserve the edge information of an original high-resolution image, a visibility function defined by local statistics of the low-resolution image is incorporated into MAP estimation process, so that the local smoothness is adaptively controlled. The weighted non-quadratic convex functional is defined to obtain the optimal solution that is as close as possible to the original high-resolution image. An iterative algorithm is utilized for obtaining the solution, and the smoothing parameter is updated at each iteration step from the partially reconstructed high-resolution image is required. Experimental results demonstrate the capability of the proposed algorithm.

Image Enhancement for Western Epigraphy Using Local Statistics (국부 통계치를 활용한 서양금석문 영상향상)

  • Hwang, Jae-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.3
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    • pp.80-87
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    • 2007
  • In this paper, we investigate an enhancement method for Western epigraphic images, which is based on local statistics. Image data is partitioned into two regions, background and information. Statistical and functional analyses are proceeded for image modeling. The Western epigraphic images, for the most part, have shown the Gaussian distribution. It is clarified that each region can be differentiated statistically. The local normalization process algorithm is designed on this model. The parameter is extracted and it‘s properties are verified with the size of moving window. The spatial gray-level distribution is modified and regions are differentiated by adjusting parameter and the size of moving window. Local statistics are utilized for realization of the enhancement, so that difference between regions can be enhanced and noise or speckles of region can be smoothed. Experimental results are presented to show the superiority of the proposed algorithm over the conventional methods.

Image Enhancement Using Adaptive Weighted Sigma Filter (적응비중화 시그마필터에 의한 영상향상)

  • Hwang, Jae-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.2 s.314
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    • pp.19-26
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    • 2007
  • In the sigma filter, there is a specialized neighbours distribution scheme in which the sigma value is computed from local statistics. It is designed to modify a standard average filter to preserve edges. However this filter is vulnerable to details-enhancement and conventional sigma approaches have been focused on denoising, not enhancing the characteristic area. This paper proposes an adaptive image enhancement algorithm using local statistics and functional synthesis which are utilized for adaptive realization of the enhancement, so that not only image noise may be smoothed but also details may be enhanced. For the local adaptation, parameters are estimated and weighted at each moving window that satisfy the criteria. The experimental results illuminates the effectiveness of the proposed method.