• 한국정보통신학회논문지
• /
• 제11권6호
• /
• pp.1122-1128
• /
• 2007

본 논문은 웨이블릿 패킷 변환과 AA(절대평균)임계값 설정 기반에 의한 영상의 노이즈를 제거하여 영상을 복원하는 연구이다. 웨이블릿 패킷 변환은 웨이블릿 변환보다 고주파부분에서 노이즈 제거가 효과적이다. 또한 기존에 사용된 임계값 결정은 표준편차 추정치를 사용하므로 노이즈 크기가 커지면 임계값이 증가하고 영상도 손상되고, 노이즈 크기에 비례하여 임계값이 설정되므로 영상이 변해도 동일한 임계값이 적용되어 복원 영상의 PSNR이 저하된다. 반면 AA임계값 적용기법은 극단적인 영향을 피할 수 있고 분해된 영상의 통계량에 따라 임계값이 결정되므로 영상의 변화에 적응적이다. 실험 결과 표준편차 추정 임계값을 적용한 웨이블릿 변환기법과 비교하여 10%, 웨이블릿 패킷 기반 노이즈 제거기법과는 5% PSNR이 증가하였다.

• Journal of information and communication convergence engineering
• /
• 제4권4호
• /
• pp.174-179
• /
• 2006

In this paper we present a text detection method inspired by wavelet packet analysis and improved fuzzy clustering algorithm(IAFC).This approach assumes that the text and non-text regions are considered as two different texture regions. The text detection is achieved by using wavelet packet analysis as a feature analysis. The wavelet packet analysis is a method of wavelet decomposition that offers a richer range of possibilities for document image. From these multi scale features, we adapt the improved fuzzy clustering algorithm based on the unsupervised learning rule. The results show that our text detection method is effective for document images scanned from newspapers and journals.

• The Journal of the Acoustical Society of Korea
• /
• 제22권2E호
• /
• pp.87-92
• /
• 2003

In this paper, a new speech enhancement method using level adapted wavelet packet is presented. First, we propose a level adapted wavelet packet to alleviate a drawback of the conventional node adapted one in noisy environment. Next, we suggest an adaptive noise estimation method at each node on level adapted wavelet packet tree. Then, for more accurate noise component subtraction, we propose a new estimation method of spectral subtraction weight. Finally, we present a modified spectral subtraction method. The proposed method is evaluated on various noise conditions: speech babble noise, F-l6 cockpit noise, factory noise, pink noise, and Volvo car interior noise. For an objective evaluation, the SNR test was performed. Also, spectrogram test and a very simple listening test as a subjective evaluation were performed.

• Smart Structures and Systems
• /
• 제1권1호
• /
• pp.29-46
• /
• 2005

In this study, a wavelet packet based method is proposed for identifying damage occurrence and damage location for beam-like structures. This method assumes that the displacement or the acceleration response time histories at various locations along a beam-like structure both before and after damage are available for damage assessment. These responses are processed through a proper level of wavelet packet decomposition. The wavelet packet signature (WPS) that consists of wavelet packet component signal energies is calculated. The change of the WPS curvature between the baseline state and the current state is then used to identify the locations of possible damage in the structure. Two numerical studies, one on a 15-storey shear-beam building frame and another on a simply-supported steel beam, and an experimental study on a simply-supported reinforced concrete beam are performed to validate the proposed method. Results show the WPS curvature change can be used to locate both single and sparsely-distributed multiple damages that exist in the structure. Also the accuracy of assessment does not seem to be affected by the presence of 20-15dB measurement noise. One advantage of the proposed method is that it does not require any mathematical model for the structure being monitored and hence can potentially be used for practical application.

• Structural Engineering and Mechanics
• /
• 제46권4호
• /
• pp.459-486
• /
• 2013

A novel damage classification method based on wavelet packet transform and statistical analysis is developed in this study for structural health monitoring. The response signal of a structure under an impact load is normalized and then decomposed into wavelet packet components. Energies of these wavelet packet components are then calculated to obtain the energy distribution. Statistical similarity comparison based on an F-test is used to classify the structure from changes in the wavelet packet energy distribution. A statistical indicator is developed to describe the damage extent of the structure. This approach is applied to the test results from simply supported reinforced concrete beams in the laboratory. Cases with single and two damages are created from static loading, and accelerations of the structure from under impact loads are analyzed. Results show that the method can be used with no reference baseline measurement and model for the damage monitoring and assessment of the structure with alarms at a specified significance level.

• 한국정보통신학회:학술대회논문집
• /
• 한국해양정보통신학회 2007년도 춘계종합학술대회
• /
• pp.605-608
• /
• 2007

본 논문은 절대평균 임계값을 웨이블릿 패킷에 적용하여 영상의 노이즈를 제거하기 위한 연구이다. 기존에 사용된 임계값은 표준편차 추정치를 사용하므로 노이즈 크기가 커지면 임계값이 증가하고 영상도 손상된다. 또한 노이즈 크기에 비례하여 임계값이 설정되므로 영상이 변해도 동일한 임계값이 적용되어 복원영상의 PSNR이 저하된다. 반면 절대평균의 임계값을 적용기법은 극단적인 영향을 피할 수 있고 분해된 영상의 통계량에 따라 임계값이 결정되므로 영상의 변화에 적응적이다. 실험 결과 표준편차 추정 임계값을 적용한 웨이블릿 변환기법과 비교하여 12%, 웨이블릿 패킷 기반 노이즈 제거기법과는 6% PSNR이 증가하였다.

• 한국정보통신학회:학술대회논문집
• /
• 한국해양정보통신학회 2003년도 춘계종합학술대회
• /
• pp.733-736
• /
• 2003

본 논문은 웨이블릿 패킷과 노이즈 분산에 의한 영상의 복원에 관한 연구이다. 영상을 노이즈제거 하기 위해 웨이블릿 패킷변환하고 임계값 설정은 노이즈의 분산에 기반한 절대평균값을 적용하였다. 실험결과 단순 웨이블릿 변환을 적용한 영상복원 결과보다 10%, 웨이블릿 패킷 기반의 노이즈 제거 기법보다 5％ 이상 개선되었다.

• 대한전자공학회:학술대회논문집
• /
• 대한전자공학회 2002년도 ITC-CSCC -2
• /
• pp.900-903
• /
• 2002

This paper proposes the use of wavelet packet transform in a transform based video coding scheme, which is mainly used in low/very low bit-rate video coding schemes i.e. H.263 standard. In the experiments, the discrete cosine transform in the video coding scheme is replaced by the wavelet packet transform, and the improved performance in term of peak signal to noise ratio is measured and compared with the results obtained from the coding scheme implementing the ordinary wavelet transform. The experimental results show an impressive improvement obtained from the use of wavelet packet transform.

• 대한전기학회논문지:시스템및제어부문D
• /
• 제54권11호
• /
• pp.673-679
• /
• 2005

This Paper presents the 3D wavelet transformation based video compression system, which possesses the capability of progressive transmission by increasing resolution and increasing rate for multimedia applications. The 3D wavelet packet based video compression system removes the temporal correlation of the input sequences using the motion compensation filter and decomposes the spatio-temporal subband using the spatial wavelet packet transformation. The proposed system allocates the higher bit rate to the low frequency image of the 3D wavelet sequences and improves the 0.49dB PSNR performance of the reconstructed image in comparison with that of H.263. In addition to the limitation on the propagation of the motion compensation error by the 3D wavelet transformation, the proposed system progressively transmits the input sequence according to the resolution and rate scalability.

• 한국콘텐츠학회논문지
• /
• 제8권4호
• /
• pp.79-85
• /
• 2008

현재 많은 광대역 전송 시스템의 변복조 방식으로 직교 주파수 분할 다중화(orthogonal frequency division multiplexing: OFDM) 방식이 널리 사용되고 있다. OFDM 방식은 기저파형으로 서로 직교하는 정현파를 사용하는 직교 파형 변조의 하나이다. 이 논문에서는 기저파형으로 정현파 대신 웨이블릿 패킷을 사용하는 웨이블릿 패킷 변조에 대해 살펴보고자 한다. 웨이블릿 패킷은 시간-주파수 2차원 평면에서 서로 다른 모양을 가질 수 있기 때문에 채널환경에 따라 그에 적합한 파형을 쉽게 설계할 수 있다. 이 논문에서는 다중반송파 변조방식의 다른 형태로서 웨이블릿 패킷 변조의 특징에 대해 살펴보고, 협대역 간섭 환경에서 대역폭을 유연하게 조절함으로써 간섭의 영향을 감소시킬 수 있음을 보이고자 한다.