• 제목/요약/키워드: Digital Filtering

검색결과 611건 처리시간 0.021초

광 스캐닝 홀로그램 현미경에서 부분 영역 해석을 통한 자동 초점 (Auto-focus of Optical Scanning Holographic Microscopy Using Partial Region Analysis)

  • 김유석;김태근
    • 한국광학회지
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    • 제22권1호
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    • pp.10-15
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    • 2011
  • 본 논문에서 홀로그램의 일부 영역만을 선택하여 자동 초점 맺는 방법을 제안하고 이를 실험적으로 보였다. 먼저 광 스캐닝 홀로그래피를 이용하여 복소 홀로그램을 추출한다. 그 다음 홀로그램의 일부 영역만을 선택하고 가우시안 저대역 필터링, Real-only 홀로그램 합성, Power fringe-adjusted 필터링, 주파수축 변환 등의 과정을 통해 깊이 정보를 추출한다. 이렇게 추출된 깊이 위치를 이용하여 홀로그램을 자동적으로 복원하게 된다.

신경회로망을 이용한 과도파형의 기본파성분 추출에 관한 연구 (A Study on the Extraction of Fundamental Frequency Components in the Transient Wave Signals Using Artificial neural networks)

  • 신명철;이복구
    • 대한전기학회논문지
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    • 제43권4호
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    • pp.553-563
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    • 1994
  • This paper presents a filtering method using neural networks to extract fundamental frequency components of the transient wave signals in power systems. Based on the ability of multilayer feedforward neural networks to approximate any continuous function, a neural networks mapping filter is proposed for the protective distance relaying systems to extract the effective components efficiently. A characteristic feature of this mapping filter is composed of the multilayer perceptron neural networks which are trained by using random signals and those are mapped to the DFT filtering computational structure by GDR(Generalized Delta Rule). The advantage of this approach is demonstrated by the random waves and the fault transient wave signals of EMTP(electromagnetic transients program) in power systems fault conditions. The proposed method is compared with the conventional method and the simulation results show the efficiency of the neural networks.

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역 필터링을 이용한 이동물체 영상복원 (Motion Image Restoration by Inverse Filtering)

  • 김영우;유광렬;이대영
    • 한국통신학회논문지
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    • 제12권2호
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    • pp.176-188
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    • 1987
  • 본 논문은 역필터링을 이용하여 이동에 의해 흐려진 영상을 복원하는 기법에 관한 논문이다. 적절한 역필터를 설계하기 위하여 저하과정(Degradation Process)을 정확히 모델링하여 그의 역특성을 갖는 필터를 구해내야 한다. 고속으로 이동하는 물체의 영상은 Blurring되는데, 이것은 수학적으로 시간에 대한 영상의 적분으로 모델링될 수 있으며, 공간좌표상 방향성 방형 윈도우(Rectangular Window)를 상승(Convolution)하는 것으로 분석된다. 본 논문에서는 주파수 영역에서 이를 분석하여, 이동방향을 고려한 역 Sinc 함수 특성을 갖는 필터를 이용하여 흐려진 영상을 복원하는 기법을 연구한다.

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디지털 영상을 위한 DWT 기반의 강인성 블라인드 워터마킹 (A Robustness Blind Watermarking for Digital Image based on DWT)

  • 이용석;서영호;김동욱
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2015년도 하계학술대회
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    • pp.69-72
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    • 2015
  • 본 논문에서는 디지털 영상 컨텐츠의 저작권 보호를 위해 DWT 를 이용하여 강인성(robustness), 비가시성(invisibility), 보안성(security)을 만족하는 blind 워터마킹 방법을 제안한다. 이 방법은 영상정보에 대한 변화를 원본 영상의 특정 부분에 국한하지 않게 하기 위해서, 특정 주파수 성분에 워터마크를 삽입하는 것이 아닌 전체 영상에 워터마크를 삽입하는 방법이다. 이 방법에서 저작권에 대한 판단은 추출한 워터마크 정보를 통합 판단하는 방법을 사용한다. 이 방법은 저작권 보호를 위해 원본 영상을 보관할 필요가 없으며, Gaussian filtering, average filtering, sharpening 의 영상 필터링, JPEG 손실 영상 압축, resizing, 영상 품질 향상을 위한 Contrast 나 histogram equalization 등의 공격에 충분한 강인성을 보여준다.

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심하게 손상된 칼라 영상의 잡음 검출 방식을 이용한 임펄스 잡음 제거 기술 (Impulsive noise filtering in severely corrupted color images using detection-estimation based approaches)

  • 이규철;최윤정;손광훈
    • 한국통신학회논문지
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    • 제25권6B호
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    • pp.1021-1027
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    • 2000
  • In this paper, we propose two new detection-estimation based algorithms that effectively remove impulsive noises in severely corrupted color images. The existing methods for enhancing corrupted color images with impulsive noises commonly possess the inherent problems of excessive computing time and smoothing out edges. However, since our proposed algorithms classify corrupted pixels first in each channel or in each pixel and then perform marginal or vector median filtering only for them, are computationally efficient and preserve edges well. In addition, since there are no appropriate criteria to evaluate the performance of impulsive noise detectors for color images, the objective comparison of noise detectors is difficult. Thus, we introduce a new efficiency factor to compare the performance of noise detectors in digital color images. Simulation results show that the proposed algorithms perform better than the existing methods in terms of both objective and subjective evaluat ons.

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직렬로 연결된 적응 필터링을 이용한 EEG내의 잡음 제거 (Noise Cancellation using Cascaded Adaptive Filtering in EEG)

  • 김기만;유선국;김남현
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1996년도 춘계학술대회
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    • pp.143-146
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    • 1996
  • An adaptive digital filtering of the electroencophalogram(EEG) is a successful way of suppressing mains interference, but it affects some of the frequency components of the signal, an artifact which not be acceptable in some cases of automatic EEG processing. The types of electrical artifact seen on EEG records is described. Those are the EOG and the PVC roller pump noise. And we study the method for cancelling these artifacts. The method does not need the reference channel, and are obtained by cascading the linear predictor and the noise canceller. The simulation results illustrate the performances of the presented method in terms of the capability of interferences suppression.

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제한된 각도에서 단층영상 획득을 위한 역투사 후 필터링 방법 (Backprojection Filtering Method for Limited Angle Tomography)

  • 조민국;김호경;인지혜;김태우
    • 대한의용생체공학회:의공학회지
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    • 제29권1호
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    • pp.46-51
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    • 2008
  • We describe a backprojection filtering method for limited angle tomography. In order to reduce blur artifacts originated from the out-of-planes and control high-frequency noise, we employed two band-limited window functions, and which were realized by Hann filters in this study. Based on the experimentally measured data, the performance of the developed method is demonstrated by comparing with the conventional shift-and-add and filtered backprojection methods. Application of the developed method to the dental imaging has a potential to be used for the preoperative evaluation of the jaw for dental implants with much reduced patient dose instead of the conventional dental computed tomography.

A Study on the Fusion of DEM Using Optical and SAR Imagery

  • Yeu, Bock-Mo;Hong, Jae-Min;Jin, Kyeong-Hyeok;Yoon, Chang-Rak
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.407-407
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    • 2002
  • The most widespread techniques for DEM generation are stereoscopy for optical sensor images and interfereometry for SAR images. These techniques suffer from certain sensor and processing limitations, which can be overcome by the synergetic use of both sensors and DEMs respectively. In this paper, different strategies for fusing SAR and optical data are combined to derive high quality DEM products. The filtering techniques, which take advantage of the complementary properties of SAR and stereo optical DEMs, will be applied for the fusion process. By taking advantage of the fact that errors of the DEMs are of different nature using the filtering technique, affected part are filtered and replaced by those of the counterpart and is tested with two sets of SPOT and ERS DEM, resulting in a remarkable improvement in DEM. for the analysis of results, the reference DEM is generated from digital base map(1:5000).

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금석문 영상의 계층적 분할 (Hierarchical Segmentation of Monumental Inscription Image)

  • 최호형;박영식;김기석
    • 한국멀티미디어학회:학술대회논문집
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    • 한국멀티미디어학회 2002년도 춘계학술발표논문집(상)
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    • pp.315-319
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    • 2002
  • The study on shilla monumental inscription has been accomplished by many historians. However, the research on segmentation of monumental inscription image using digital image processing technique is not sufficient. The preprocessing using computer is needed for accurate interpretation of history. In this paper, A morphological filtering using directional information is presented. Directional filtering is effective in reducing noises and preserving edges. The opening and closing operations in the 1st stage are performed for the pixel is aligned to the vertical, horizontal and two diagonal directions. The Opening operation supresses the positive impulse noise while the closing operation the negative ones. Then Directional filter and post-processing are applied to the image. Experimental result shows outstanding performance for interpretation.

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Folded Architecture for Digital Gammatone Filter Used in Speech Processor of Cochlear Implant

  • Karuppuswamy, Rajalakshmi;Arumugam, Kandaswamy;Swathi, Priya M.
    • ETRI Journal
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    • 제35권4호
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    • pp.697-705
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    • 2013
  • Emerging trends in the area of digital very large scale integration (VLSI) signal processing can lead to a reduction in the cost of the cochlear implant. Digital signal processing algorithms are repetitively used in speech processors for filtering and encoding operations. The critical paths in these algorithms limit the performance of the speech processors. These algorithms must be transformed to accommodate processors designed to be high speed and have less area and low power. This can be realized by basing the design of the auditory filter banks for the processors on digital VLSI signal processing concepts. By applying a folding algorithm to the second-order digital gammatone filter (GTF), the number of multipliers is reduced from five to one and the number of adders is reduced from three to one, without changing the characteristics of the filter. Folded second-order filter sections are cascaded with three similar structures to realize the eighth-order digital GTF whose response is a close match to the human cochlea response. The silicon area is reduced from twenty to four multipliers and from twelve to four adders by using the folding architecture.