• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2016년도 추계학술대회
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• pp.965-968
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• 2016

본 논문은 PDF 웨이블릿 변환과 TVG 필터를 이용한 Sonar Image 의 스펙클 노이즈 제거에 관한 연구이다. TVG 필터는 해저면 바닥의 불규칙한 물체를 식별하는데 방해되는 Speckle Noise를 시간적이고 귀납적인 관찰의 결과로 얻어진 Gain 값으로 제거 한다. 실험 결과, 제안된 필터는 Speckle Noise를 약 90% 제거하여 보다 향상된 해저 영상 식별이 가능하다.

• Journal of Astronomy and Space Sciences
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• 제15권1호
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• pp.175-182
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• 1998

SAR 영상은 speckle 잡음의 multiplicative 특성으로 인해 영상 해석에 많은 제약을 받고 있다. Speckle 잡음을 제거하기 위한 방법은 크게 여러 개의 독립 영상을 multi-looks 처리 방법과 디지털 영상 처리 기술을 이용하는 방법으로 speckle 잡음 특성에 따른 비선형필터의 적용이다. 본 연구에서는 국지적 통계 자료를 이용하는 LEE와 Refined LEE 필터 그리고 speckle 자체의 통계 특성을 이용하는 EPOS(Edge Preserving Optimal Speckle)필터를 이용하여 speckle 잡음을 제거하여 SAR 영상의 화질을 개선하고 그 결과를 기존의 mean과 median 필터와 비교하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 제13회 신호처리 합동 학술대회 논문집
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• pp.679-682
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• 2000

In this paper, a MMSE filter in homomorphic wavelet transform domain is proposed for restoring an ultrasonic images corrupted by speckle noise. In order to remove effectively the speckle noise which is a kind of multiplicative noise, speckle noise is transformed into a form of additive noise and then the additive noise is denoised through the MMSE filter in homomorphic wavelet transform domain. The proposed method shows much higher quality in terms of ISNR and subject quality.

• 전자공학회논문지S
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• 제34S권11호
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• pp.138-147
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• 1997

The ultrasonic images are corrupted by the granular pattern noise - a speckle noise. The speckle exist in the type of coherent imaging systems, and the speckle is the signal independent and multiplicative noise. In this paepr, we derive two filters using the gradient and symmetry. One is a noise suppression filter which removes noise while preserves the edges. It is named the ASRF-GS (Adaptive Speckle Removal Filer - Gradient and Symmetry). And the other is a edge detection filter which obtains the thin edge map, called the EDUGS(Edge Detection Using Gradient and Symmetry). The performance of the proposed noise suppression filter is evaluated by the IMPV(SNR improvement) and the Speckle Index(SI), and the perforamnce of the edge detection is evaluated by the edge detection error rate. According to the evaluated method, The SI reduced about 0.035, The IMPV improved about 1.265(dB), and the edge detection error rate is about 17.5%.

• Journal of Welding and Joining
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• 제17권6호
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• pp.100-107
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• 1999

In this paper, we deal with the speckle noise reduction and parameter estimation of ultrasonic NDT(non-destructive test) signals obtained during weld inspection of piping. The overall approach consists of three major steps, namely, speckle noise analysis, proposition of wavelet domain AR(autoregressive) model and flaw detection by proposed model parameter. The data are first processed whereby signals obtained using vertical and angle beam transducer. Correlation properties of speckle noise are then analyzed using multiresolution analysis in wavelet domain. The parameter estimation curve obtained using the proposed model is classified a flaw in weld region where is contaminated by severe speckle noise and also clear flaw signal is obtained through CA-CFAR threshold estimator that is a nonlinear post-processing method for removing the noise from reconstructed ultrasonic signal.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.303-307
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• 2002

Although Synthetic Aperture Radar(SAR) is a very powerful and attractive tool, automatic interpretation of SAR images is extremely difficult because of several reason. Spatially, speckle noise reduction in SAR images is important step to interpret the SAR image at the preprocessing step. The speckle noise in SAR images is modeled to be multiplicative, and therefore, a signal-dependent noise. So, it has deflated many image-denoising algorithms that are based on additive noise model. In this paper, we propose an adaptive wavelet shrinkage method for speckle noise reduction in SAR images by analyzing the high frequency level in detail. We first decompose minutely the high frequency level to analyze the noise level. And then, we determine the weighting threshold value per the level, and layer. Finally, using those weighting threshold, we produce the efficient wavelet shrinkage method. So, this method not only reduces the speckle noise, but also preserves image detail and sharpness.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.185-187
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• 2008

Speckle noise is primarily due to the phase fluctuations of the electromagnetic return signals. Since inherent spatial-correlation characteristics of speckle in SAR images are not exploited in existing multiplicative models for speckle noise. In this paper, we investigate the efficiency of the filters: Kuan, Gamma, Enhanced Lee, and Enhanced Frost filters in reduction of speckle noise in forestry area. Selection of the suitable filter can be played an important role in applications such as estimation of biomass in forestry areas. We employ ALOSPALSAR image use L-band frequency for this investigation. The filters test on different sites in PALSAR image of the northern forests part of Iran.

• 전자공학회논문지B
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• 제33B권4호
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• pp.72-80
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• 1996

In this paper, variable windowing mean filter to remove speckle noise and a measure to detect thin edge in ultrasonic images are proposed. Because ultrasonic images are corrupted by speckle noise showing a granular appearance, good edge detection is difficult. As a result, noise removing filter is needed in preprocessing stage. The speckle noise removing filter is based on mean filter whose window size is changed by the ratio of standard deviation to mean for image signal and noise signal in local area. And the measure expressed the difference of means between tow windows is used for detecting thin edge in filtered image. Results show that variable windowing mean filter removes speckle noise effectively, and proposed measure is useful in detecting thin edge.

• 한국인터넷방송통신학회논문지
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• 제9권6호
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• pp.155-161
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• 2009

SAR영상의 가장 큰 문제점은 경계선 부근에서 스패클(Speckle)잡음을 어떻게 줄이느냐 하는 것이다. 본 논문에서는 제안한 방법을 이용하여 경계선을 보존할 수 있는 효과적인 필터를 개발하고자 한다. 스패클 잡음을 줄이면서 에지 영역에 대한 블러링 없는 영상을 추출하기 위하여 웨이브렛 기반의 sigma 필터를 적용하였다. 실험 결과 에지정보에 대한 블러링을 줄인 출력 영상을 구성하였다. 제안한 방법을 미디언 필터와 비교한 결과, 스패클 잡음을 효과적으로 제거한 우수한 영상을 얻을 수 있었다.

• 한국광학회지
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• 제5권2호
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• pp.217-224
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• 1994

반점 간섭무늬 위상단면도의 잡음을 제거하기 위해 위상이동 convolution과 2-bit 양자화 스무딩 필터를 조합하였다. 위상이동 convoltion처리로 톱니파 형태를 갖는 반점 간섭무늬 위상단면도에서 2.pi. jump 양단의 edge 성분을 완벽하게 유지하면서 스무딩 처리를 할 수 있었다. 2-bit 양자화 스무딩 필터는 반점 간섭무늬 위상단면도의 스무딩 처리를 하는데 있어서 average, low-pass 필터 및 median 필터 보다 처리속도가 빠르고 S/N비 특성이 우수하였다. 잡음을 제거한 반점 위상단면도를 path dependent unwrapping 알고리즘을 적용하여 위상의 2.pi. 불연속성을 해소하고 펼쳐 보았다.