• Journal of Information Processing Systems
• /
• 제14권2호
• /
• pp.552-562
• /
• 2018

With the advent of the information society, image restoration technology has aroused considerable interest. Guided image filtering is more effective in suppressing noise in homogeneous regions, but its edge-preserving property is poor. As such, the critical part of guided filtering lies in the selection of the guided image. The result of the Expected Patch Log Likelihood (EPLL) method maintains a good structure, but it is easy to produce the ladder effect in homogeneous areas. According to the complementarity of EPLL with guided filtering, we propose a method of coupling EPLL and guided filtering for image de-noising. The EPLL model is adopted to construct the guided image for the guided filtering, which can provide better structural information for the guided filtering. Meanwhile, with the secondary smoothing of guided image filtering in image homogenization areas, we can improve the noise suppression effect in those areas while reducing the ladder effect brought about by the EPLL. The experimental results show that it not only retains the excellent performance of EPLL, but also produces better visual effects and a higher peak signal-to-noise ratio by adopting the proposed method.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2005년도 추계학술대회 논문집
• /
• pp.848-853
• /
• 2005

The objective of this paper is to address to the providing an adequate noise and vibration solution, required for High Speed Rail while maintaining the stability criteria of the ChonAn station structure, the first constructed in Korean High Speed Railway. The significant acoustic pressure level will be induced by the high speed trains passing-by. Therefore, the high level study of this case is necessary. The acoustic pressure level of 85 dB(A) inside the ChonAn station is expected, and the spaces below concrete slab are not suitable for commercial purpose, thus installation of filtering systems (spring boxes containing viscous dampers, ballast mats and acoustic shield) are provided to reduce the effect of the noise and vibration to acceptable level of 55 dB(A). But, a major drawback of application of the previously conducted experimental results was that the actual effect of installation of filtering system was never been validated. Therefore, the acquisition of noise and vibration on the present structure were obtained and compared to the computer simulations. These predicted the behavior of the station reasonably well. Also, the installation of filtering systems gave the superior reduction on noise and vibration. This application is successfully adapted without scarifying stability criteria related to the structural stability including excessive deformations or displacements. Three traffic operation safety limits: deck vertical acceleration, deflection of the structure, and longitudinal displacement of the slab were satisfactory.

• 대한전기학회논문지:시스템및제어부문D
• /
• 제52권3호
• /
• pp.173-180
• /
• 2003

The modified Wiener filtering method is proposed for effective noise suppression in edge region of images corrupted by additive white gaussian noise. Although the pixels classified as a edge region in the conventional Wiener filter have lots of noise components, the conventional Wiener filler cannot remove noise effectively due to the preserving of edges. To reduce noise well in edge region, we modify filter coefficients of the conventional Wiener filter The modified filter coefficients increase in noise suppression effect In edge region, while they preserve edges for strong edge region. From simulation $(256{\time}256$ size, 256 graylevel images) filtered images by the proposed method show much improved subjective image quality with some improved peak signal-to-noise ratio compared to those by the conventional Wiener filtering.

• 대한전기학회논문지:시스템및제어부문D
• /
• 제53권2호
• /
• pp.118-126
• /
• 2004

The modified Wiener filtering method is proposed for effective noise suppression in edge region of images corrupted by additive white gaussian noise. Although the pixels classified as a edge region in the conventional Wiener filter have lots of noise components, the conventional Wiener filter cannot remove noise effectively due to the preserving of edges. To reduce noise well in edge region, we modify filter coefficients of the conventional Wiener filter. The modified filter coefficients increase in noise suppression effect in edge region, while they preserve edges for strong edge region. From simulation (256${\times}$256 size, 256 graylevel images) filtered images by the proposed method show much improved subjective image quality with higher peak signal-to-noise ratio compared to those by the conventional Wiener filtering.

• ETRI Journal
• /
• 제26권3호
• /
• pp.273-276
• /
• 2004

We propose a novel feature processing technique which can provide a cepstral liftering effect in the log-spectral domain. Cepstral liftering aims at the equalization of variance of cepstral coefficients for the distance-based speech recognizer, and as a result, provides the robustness for additive noise and speaker variability. However, in the popular hidden Markov model based framework, cepstral liftering has no effect in recognition performance. We derive a filtering method in log-spectral domain corresponding to the cepstral liftering. The proposed method performs a high-pass filtering based on the decorrelation of filter-bank energies. We show that in noisy speech recognition, the proposed method reduces the error rate by 52.7% to conventional feature.

• Investigative Magnetic Resonance Imaging
• /
• 제4권2호
• /
• pp.120-127
• /
• 2000

최근에 해상도의 손실없이 신호대잡음비를 개선시킬 수 있는 적응 템플릿 필터링이 제안되었다. 적응 템플릿 필터링은 다중 템플릿들 중에서 현재 복셀의 주변 구조와 가장 잘 매칭이 되는 템플릿을 선택하여 적응필터 링을 적용하는 방법이다. 적응 템플릿 필터링을 자기공명영상에 적용할때 기존의 필터링 방법들에 비하여 향상된 결과를 얻을 수 있으나, $T_1$ 영상과 같이 비교적 작은 동적 범위를 가진 영상에서는 에지에서 계단모양의 artifact가 발견되곤 한다. 이것은 자기 공명영상에서 복셀의 부분적인 볼륨 효과에 기인하는 것으로 여러 조직의 성분을 포함하고 있는 경계면의 복셀들에 적응 템플릿 필터링이 적용될 경우 다중성분을 가진 복셀들의 그레이레벨이 인접한 단일성분의 그레이레벨 값에 가까워져 에지가 강조되기 때문이다 본 논문에서는 다중 성분을 갖는 복셀들을 선별하여 이들에 대해서는 가장 큰 크기의 템플릿을 할당함으로써 artifact를 제거하는 방법을 제안하였다. 제안한 방법을 $T_1$ 자기공명영상과 팬텀 영상에 적용한 결과 에지 artifact가 사라지는 것을 확인할 수 있었으며, 최대 신호대잡음비 면에서도 향상된 결과를 얻을 수 있었다.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2000년도 하계학술대회 논문집 D
• /
• pp.2921-2923
• /
• 2000

Adaptive template filtering has been proposed recently for an enhancement of signal-to-noise ratio. In some magnetic resonance images whose gray levels have relatively small dynamic ranges, e.g., T1 imaging, however, artificial stair-like artifact is observed in edge regions. This is partially due to edge enhancement effect in such voxels that contain multiple compounds at the boundaries of tissues. The gray levels of these voxels tend to change those of near voxels that contain single compound by the adaptive filtering, which exaggerate edge discontinuities. In this paper, we propose a technique to eliminate such artifact by identifying those voxels and assigning a larger template for them. Filtered images with the proposed technique show substantial visual enhancement at the edges without degradation of peak signal-to-noise ratio compared to the original adaptive template filtering for both magnetic resonance images and phantom images

• 방송공학회논문지
• /
• 제20권4호
• /
• pp.568-579
• /
• 2015

최근 터치 디스플레이를 내장한 모바일 기기의 사용이 증가하고 있다. 터치 디스플레이 기기는 터치 신호의 정확도와 반응 속도가 매우 중요하기 때문에 터치 신호에 포함된 잡음을 빠르고 정확하게 제거할 수 있는 기법이 필요하다. 본 논문은 신호의 움직임을 고려한 칼만 필터링을 이용해 터치 잡음을 제거하는 기법을 제안한다. 먼저, 효과적인 칼만 필터링을 위해 입력 신호를 프리엠퍼시스함으로써, 일반적으로 값이 큰 터치 신호는 더욱 값을 키우고, 일반적으로 값이 작은 잡음은 값을 더욱 감소시킨다. 다음으로, 터치 포인트의 수직 라인을 따라 잡음이 발생하는 터치 패널 고유의 특징을 이용하여 신호의 움직임 유무를 검출한다. 그래서 움직임이 있다고 판단되는 경우에만 추가적으로 움직임 추정을 수행한다. 우리는 움직임 추정 시 터치 신호가 존재하는 주변 영역만을 이용하여 전체 영역에 대해 움직임을 추정할 때보다 75%의 연산량을 감소시킨다. 마지막으로 칼만 필터링을 수행한다. 실험 결과는 제안 기법이 양방향 필터, NLM 등의 기존 기법보다 터치 신호의 크기는 유지 혹은 증가시키며 주변 잡음들을 충분히 완화시킴으로써 올바른 터치 인식이 되는 효과를 가짐을 보였다. 또한 제안 기법은 기존 기법 대비 적은 연산량으로 효과적인 잡음 제거를 나타내었다.

• 전자공학회논문지B
• /
• 제30B권10호
• /
• pp.35-41
• /
• 1993

In this paper, a new speech enhancement method for speech signal corrupted by environmental noise is proposed. Two signals are obtained from the microphone and from the accelerometer attached to the neck, respectively. Since two signals are generated from same source signal, both signals are closely correlated. And environmental noise has no effect on the accelerometer signal. The speech enhancement system identifies the optimum linear system between two signals on the basis of the dependence between the signals. The enhanced speech can be obtained by filtering the noise-free accelerometer signal. Since the characteristcs of the speech signal and environmental noise are changing with time, adaptive filtering system has to be used for characterizing the time-varing system. Simulation results show 7dB enhancement with 0dB speech signal level relative to the white noise.

• Journal of Information Processing Systems
• /
• 제19권4호
• /
• pp.465-473
• /
• 2023

An image enhancement algorithm and image defogging method are studied in this paper. The formation of fog and the characteristics of fog image are analyzed, and the fog image is preprocessed by histogram equalization method; then the additive white noise is removed by foggy image attenuation model, the atmospheric scattering physical model is constructed, the image detail characteristics are enhanced by image enhancement method, and the visual effect of defogging image is enhanced by guided filtering method. The proposed method has a good defogging effect on the image. When the number of training iterations is 3,000, the peak signal-to-noise ratio of the proposed method is 43.29 dB and the image structure similarity is 0.9616, indicating excellent image defogging effect.