• 제목/요약/키워드: Wiener Spectrum

검색결과 29건 처리시간 0.02초

Phase Differences Averaging (PDA) Method for Reducing the Phase Error in Digital Holographic Microscopy (DHM)

  • Hyun-Woo, Kim;Jaehoon, Lee;Arun, Anand;Myungjin, Cho;Min-Chul, Lee
    • Journal of information and communication convergence engineering
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    • 제21권1호
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    • pp.90-97
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    • 2023
  • Digital holographic microscopy (DHM) is a three-dimensional (3D) imaging technique that uses the phase information of coherent light. In the reconstruction process of DHM, a narrow region around the positive or negative sideband from the Fourier domain is windowed to avoid noise due to the DC spectrum of the hologram spectrum. However, the limited size of the window also degrades the high-frequency information of the 3D object profile. Although a large window can have more detailed information of the 3D object shape, the noise is increased. To solve this trade-off, we propose phase difference averaging (PDA). The proposed method yields high-frequency information of the specimen while reducing the DC noise. In this paper, we explain the reconstruction algorithm for this method and compare it to various conventional filtering methods including Gaussian, Wiener, average, median, and bilateral filtering methods.

Mellin Transform에서의 물체 이동 검출 (Detection of a Moving Object in the Mellin Transform)

  • 박수현;이병욱
    • 한국통신학회논문지
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    • 제27권2A호
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    • pp.157-164
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    • 2002
  • 두 장의 영상간의 변환관계를 추출하는 영상등록에서 Merlin transform이 많이 사용된다. 본 논문에서는 배경과는 다른 속도로 움직이는 물체가 있는 경우를 모델링하여 Mellin transform을 적용하고 물체와 배경의 크기와 주파수 스펙트럼이 물체의 이동 검출에 미치는 영향을 정량적으로 분석한다. 또한 최적화된 영상등록을 할 수 있도록 Merlin transform을 적용할 때에 정합되지 않는 부분에서 발생하는 노이즈를 모델링하여 그 영향을 최소화하는 방법을 제안하였다.

Measurement of Imaging Property of Flat-Panel Detector

  • Matsumoto, Masao;Suekane, Kouji;Maeda, Kouji;Ogata, Yuji;Inamura, Kiyonari;Kanai, Kouzo;Kanamori, Hitoshi
    • 한국의학물리학회:학술대회논문집
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    • 한국의학물리학회 2002년도 Proceedings
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    • pp.385-388
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    • 2002
  • We measured and evaluated digital, pre-sampling and overall imaging properties (characteristic curves, Modulation Transfer Function (MTF), Wiener spectra (WS), Noise Equivalent Quanta (NEQ) and Detective Quantum Efficiency (DQE)) for the direct type and indirect type of Flat-Panel Detector (FPD). First, the digital and overall characteristic curves of the both types of FPD had more wide dynamic range than that of the S/F system. Second, the pre-sampling and overall MTF of the direct-type FPD were superior to those of the indirect-type FPD. Third, for identical exposures, the digital and overall WS of the direct-type FPD were similar or worse than those of the indirect-type FPD, and for larger exposure, the digital WS of the both types of FPD were smaller, but overall WS of the both types of FPD were larger. Fourth, the digital and overall NEQ and DQE of the direct-type FPD were worse than both NEQ and DQE of the indirect-type FPD at lower spatial frequencies, but were better at higher spatial frequencies.

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The Effect of the Speech Enhancement Algorithm for Sensorineural Hearing Impaired Listeners

  • Kim, Dong-Wook;Lee, Young-Woo;Lee, Jong-Shill;Chee, Young-Joon;Lee, Sang-Min;Kim, In-Young;Kim, Sun-I.
    • 대한의용생체공학회:의공학회지
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    • 제28권6호
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    • pp.732-743
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    • 2007
  • Background noise is one of the major complaints of not only hearing impaired persons but also normal listeners. This paper describes the results of two experiments in which speech recognition performance was determined for listeners with normal hearing and sensorineural hearing loss in noise environment. First, we compared speech enhancement algorithms by evaluation speech recognition ability in various speech-to-noise ratios and types of noise. Next, speech enhancement algorithms by reducing background noise were presented and evaluated to improve speech intelligibility for sensorineural hearing impairment listeners. We tested three noise reduction methods using single-microphone, such as spectrum subtraction and companding, Wiener filter method, and maximum likelihood envelop estimation. Their responses in background noise were investigated and compared with those by the speech enhancement algorithm that presented in this paper. The methods improved speech recognition test score for the sensorineural hearing impaired listeners, but not for normal listeners. The results suggest the speech enhancement algorithm with the loudness compression can improve speech intelligibility for listeners with sensorineural hearing loss.

자동 음성 인식기를 위한 단채널 음질 향상 알고리즘의 성능 분석 (Performance Analysis of a Class of Single Channel Speech Enhancement Algorithms for Automatic Speech Recognition)

  • 송명석;이창헌;이석필;강홍구
    • The Journal of the Acoustical Society of Korea
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    • 제29권2E호
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    • pp.86-99
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    • 2010
  • This paper analyzes the performance of various single channel speech enhancement algorithms when they are applied to automatic speech recognition (ASR) systems as a preprocessor. The functional modules of speech enhancement systems are first divided into four major modules such as a gain estimator, a noise power spectrum estimator, a priori signal to noise ratio (SNR) estimator, and a speech absence probability (SAP) estimator. We investigate the relationship between speech recognition accuracy and the roles of each module. Simulation results show that the Wiener filter outperforms other gain functions such as minimum mean square error-short time spectral amplitude (MMSE-STSA) and minimum mean square error-log spectral amplitude (MMSE-LSA) estimators when a perfect noise estimator is applied. When the performance of the noise estimator degrades, however, MMSE methods including the decision directed module to estimate a priori SNR and the SAP estimation module helps to improve the performance of the enhancement algorithm for speech recognition systems.

빔포밍 및 DOA 기반의 마스킹을 이용한 2채널 잡음제거 (Two-Channel Noise Reduction Using Beamforming and DOA-Based Masking)

  • 김영일;정상배
    • 한국정보통신학회논문지
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    • 제17권1호
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    • pp.32-40
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    • 2013
  • 본 논문에서는 빔포밍과 입사각분석 기반 마스킹을 이용한 다채널 음성개선 알고리즘이 제안된다. 제안된 알고리즘에서는 LCMV 빔포밍을 수행한 후에 입사각 분석을 이용한 멜-주파수 위너필터가 적용되어 잔존하는 잡음을 제거한다. 성능 향상을 위해서 빔포밍의 적응 필터 학습률과 목표 음성 스펙트럼 검출을 위한 입사각 임계치가 최적화된다. 성능 지수로서 PESQ와 출력 SNR이 측정되었으며 실험 결과 제안한 알고리즘이 종전의 최소분산 빔포밍 기법보다 PESQ 관점에서 0.09, 출력 SNR 관점에서 5.75 dB의 성능 향상시킴을 알 수 있었다.

The Effects of Total Variation (TV) Technique for Noise Reduction in Radio-Magnetic X-ray Image: Quantitative Study

  • Seo, Kanghyen;Kim, Seung Hun;Kang, Seong Hyeon;Park, Jongwoon;Lee, Chang Lae;Lee, Youngjin
    • Journal of Magnetics
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    • 제21권4호
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    • pp.593-598
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    • 2016
  • In order to reduce the amount of noise component in X-ray imaging system, various reduction techniques were frequently used in the field of diagnostic imaging. Although the previous techniques -such as median, Wiener filters and Anscombe noise reduction technique - were able to reduce the noise, the edge information was still damaged. In order to cope with this problem, total variation (TV) noise reduction technique has been developed and researched. The purpose of this study was to evaluate and compare the image quality using normalized noise power spectrum (NNPS) and contrast-to-noise ratio (CNR) through simulations and experiments with respect to the above-mentioned noise reduction techniques. As a result, not only lowest NNPS value but also highest CNR values were acquired using a TV noise reduction technique. In conclusion, the results demonstrated that TV noise reduction technique is proved as the most practical method to ensure accurate denoising in X-ray imaging system.

복층 자기부호화기를 이용한 음향 신호 군집화 및 분리 (Audio signal clustering and separation using a stacked autoencoder)

  • 장길진
    • 한국음향학회지
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    • 제35권4호
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    • pp.303-309
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    • 2016
  • 본 논문은 자기부호화기를 이용한 음향신호 분리방법을 제안한다. 사용된 복층구조 신경망 자기부호화기는 입력 신호의 효율적인 표현방법을 자동으로 학습하며, 유사한 특징을 가지고 있는 요소신호들을 군집함으로써 다른 특징의 신호들을 분리할 수 있다. 시간영역과 주파수영역의 변이특성을 추출하기 위하여 단구간푸리에변환(Short-Time Fourier Transform, STFT)을 수행하였으며, 정해진 크기의 사각형 창을 모든 가능한 위치에 적용하여 얻은 단구간 주파수 스펙트럼을 자기부호화기의 입력으로 사용하였다. 자기부호화기의 부호노드들의 값을 이용하여 유사한 스펙트럼 창들을 군집하고, 이를 이용하여 원래의 음원들로 분리해 낼 수 있었다. 분리된 원음들은 원래의 입력신호의 특징을 확실히 나타내었으며, 기존의 비음수 행렬분해(Non-negative Matrix Factorization, NMF) 결과와 주파수 스펙트럼 비교를 통해 그 유효성을 보일 수 있었다.

Optimizing the reconstruction filter in cone-beam CT to improve periodontal ligament space visualization: An in vitro study

  • Houno, Yuuki;Hishikawa, Toshimitsu;Gotoh, Ken-ichi;Naitoh, Munetaka;Mitani, Akio;Noguchi, Toshihide;Ariji, Eiichiro;Kodera, Yoshie
    • Imaging Science in Dentistry
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    • 제47권3호
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    • pp.199-207
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    • 2017
  • Purpose: Evaluation of alveolar bone is important in the diagnosis of dental diseases. The periodontal ligament space is difficult to clearly depict in cone-beam computed tomography images because the reconstruction filter conditions during image processing cause image blurring, resulting in decreased spatial resolution. We examined different reconstruction filters to assess their ability to improve spatial resolution and allow for a clearer visualization of the periodontal ligament space. Materials and Methods: Cone-beam computed tomography projections of 2 skull phantoms were reconstructed using 6 reconstruction conditions and then compared using the Thurstone paired comparison method. Physical evaluations, including the modulation transfer function and the Wiener spectrum, as well as an assessment of space visibility, were undertaken using experimental phantoms. Results: Image reconstruction using a modified Shepp-Logan filter resulted in better sensory, physical, and quantitative evaluations. The reconstruction conditions substantially improved the spatial resolution and visualization of the periodontal ligament space. The difference in sensitivity was obtained by altering the reconstruction filter. Conclusion: Modifying the characteristics of a reconstruction filter can generate significant improvement in assessments of the periodontal ligament space. A high-frequency enhancement filter improves the visualization of thin structures and will be useful when accurate assessment of the periodontal ligament space is necessary.