• Title/Summary/Keyword: 웨이브렛변환

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Tree structured wavelet transform coding scheme for digital HD-VCR (웨이브렛 변환계수의 트리구졸르 이용한 방송용 HD-VCR의 부호화 기법)

  • 김용규;정현민;이병래;강현철
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.8
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    • pp.1790-1802
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    • 1997
  • A wavelet transform coding method that fulfills the requirements of HD-VCR(high definition video casstte recorder) for studio applications in proposed. A constant bit rate is achieved by a forward rate control technique whcih determins the quantizer stepsize based on the coding results fo the previous frame. We also propose a two-level coder that consists of both the IDC(independently decodable code) and the DDC(dependently decodable code). To minimize error propagation, the transformed coefficients are restructured into transform blocks which are represented by a tree structure. The result shows thta the proposed coding scheme produces better picture quality with block effects than that of DCT(discrete cosine transform) based coding schemes at the same compression ratio. The proposed method meets most of the requirements of HD-VCR.

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Identification of Abnormal Compressor using Wavelet Transform (Wavelet 변환에 의한 압축기의 이상상태 식별)

  • 정지홍;이기용;김정석;이감규
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.361-364
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    • 1995
  • Wavelet Transform is a new tools for signal processing, such as data compressing extraction of parameter for Reconition and Diagnostics. This transform has an advandage of a good resolution compared to Fast Fourier Transform (FFT) In this study, we employ the wavelet transform for analysis of Acoustic Emission raw signal generated form rotary compressor. In abnormal condition of rotary compressor, the state of operating condition can be classified by analizing coefficient of wavelet transformed signal.

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An Image Retrieval System Development using Variance of Wavelet Transform (웨이블렛 변환의 대역별 분산값을 이용한 영상 검색 시스템 구현)

  • Kim, Young-Ki;Kwak, Hoon-Sung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.05a
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    • pp.769-772
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    • 2004
  • 최근 하드웨어 및 소프트웨어의 급속한 발전으로 멀티미디어 및 영상(정지, 동영상) 정보가 급증하고 있다. 본 논문에서는 요즘 영상처리 분야뿐만 아니라 여러 응용 분야에서 많이 사용되고 있는 웨이브렛 변환(Wavelet Transform)과 공간 영상(spatial image)의 영역 분류 사이에 상관관계를 이용하여 회전된 영상을 검색하는 시스템을 제안하고 구현한다.

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웨이브렛 변환을 이용한 순시전압저하 측정에 관한 연구

  • 김상억;정영식
    • Proceedings of the Korean Institute of Industrial Safety Conference
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    • 2003.10a
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    • pp.124-129
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    • 2003
  • 현대의 산업계에서 많은 기기들은 민감한 전자부품들을 사용하고 있다. 이들 기기들은 전압의 변동에 민감하게 반응하여 오동작을 일으킬 수 있으며, 이로 인해 산업현장의 안전에 영향을 미치는 주요 요인이 되기도 한다. 특히 순시적인 전압 강하를 허용하지 않는 중요한 부하기기의 사용이 급증하고 있다. 따라서 순시전압저하(instantaneous voltage sag)는 전기의 신뢰성과 안전성에 위협을 주는 요인이다.(중략)

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A COMPARATIVE STUDY UPON EVENT-RELATED POTENTIALS OF THE PATIENTS WITH ADHD AND NORMAL CHILDREN USING FOURIER TRANSFORMATION AND WAVELET ANALYSIS (푸리에 변환과 웨이브렛 분석을 통한 주의력결핍 ${\cdot}$ 과잉운동장애 아동과 정상 아동의 사건관련전위 비교 연구)

  • Park, Jin-Hyoung;Kim, Hee-Chan;Cho, Soo-Churl;Shin, Sung-Woong
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.12 no.1
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    • pp.25-50
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    • 2001
  • Using Fourier transformation and wavelet analysis, we compared the auditory event-related potentials of the patients with attention deficit-hyperactivity disorders(abbr. ADHD, 13 boys) and normal control children(8 boys). Amplitudes of the event-related potentials which were calculated via Fourier transformation were compared between the groups and between conditions(non-target versus target) in each group. To the non-target stimuli, the patients with ADHD showed significantly greater amplitudes across almost all of the electrode sites and frequencies. To the target stimuli, the incidents which ADHD patients showed much higher amplitudes than normal controls significantly decreased, while those of the reverse results increased significantly. These results were consistent with the comparison results about negative difference wave(abbr. Nd wave) using Fourier transformation. In summary, it was proved that non-target stimulus which should be ignored elicited more robust electrical response from the patients with ADHD than normal children, but the target stimulus which reguired active processing did much less electrical activity in the patients. For the patients, they showed much inhibited electrical response to the target stimuli in some electrodes and frequency ranges. Normal children were more strongly stimulated by the target stimuli in almost all electrodes and frequency ranges than the patients, but less in prefrontal leads and frontal leads. Wavelet analysis results proved that early responses(0-300msec) to the nontarget stimuli of the patients were significantly greater than the normal controls in prefrontal, anterior frontal, some parts of temporal, and occipital lobes and that late response(300-370msec) were significantly lesser than normal children in parietal and central electrodes. Target stimuli elicited significantly higher electrical activity in both group than non-target stimuli did. Prefrontal and frontal lobes showed stronger responses in the patients than normal children irrespective of stimulus condition, but parietal and temporal lobes did higher activities in normal children than the patients only to the target stimuli. In conclusion, the patients with ADHD showed much greater responses to the stimuli which should be ignored, but failed to activated the necessary processes to the target stimuli. Also, we found that the frequency-dimension analysis and wavelet analysis were useful for the signal processing such as event related potentials.

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Optimization Numeral Recognition Using Wavelet Feature Based Neural Network. (웨이브렛 특징 추출을 이용한 숫자인식 의 최적화)

  • 황성욱;임인빈;박태윤;최재호
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2003.06a
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    • pp.94-97
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    • 2003
  • In this Paper, propose for MLP(multilayer perception) neural network that uses optimization recognition training scheme for the wavelet transform and the numeral image add to noise, and apply this system in Numeral Recognition. As important part of original image information preserves maximum using the wavelet transform, node number of neural network and the loaming convergence time did size of input vector so that decrease. Apply in training vector, examine about change of the recognition rate as optimization recognition training scheme raises noise of data gradually. We used original image and original image added 0, 10, 20, 30, 40, 50㏈ noise (or the increase of numeral recognition rate. In case of test image added 30∼50㏈, numeral recognition rate between the original image and image added noise for training Is a little But, in case of test image added 0∼20㏈ noise, the image added 0, 10, 20, 30, 40 , 50㏈ noise is used training. Then numeral recognition rate improved 9 percent.

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Robust Digital Watermarking Using Chaotic Sequence (카오스 시퀀스를 이용한 견고한 디지털 워터마킹)

  • 김현환;정기룡
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.4
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    • pp.630-637
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    • 2003
  • This paper proposed a new watermarking algorithm using chaotic sequence instead of conventional M-sequence for protecting copyright to the author. Robustness and security is very important for watermarking process. We use multi-threshold value according to the human visual system for improving robustness of watermarking to each subband images coefficient differently after wavelet transform. And then, we embedded watermark image to original image by multi-watermark weights which are made by random sequence generator. We detect watermark image from the difference data which is made from each wavelet subband images. We also simulate the efficiency from the various possible attacks. Chaotic sequence is better than M-sequence, because the one is very easy to make sequence and the chaotic sequence is changed easy according to the initial value. So, the chaotic sequence has the better security than the conventional M-sequence.

Human Iris Recognition System using Wavelet Transform and LVQ (웨이브렛 변환과 LVQ를 이용한 홍채인식 시스템)

  • Lee, Gwan-Yong;Im, Sin-Yeong;Jo, Seong-Won
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.49 no.7
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    • pp.389-398
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    • 2000
  • The popular methods to check the identity of individuals include passwords and ID cards. These conventional method for user identification and authentication are not altogether reliable because they can be stolen and forgotten. As an alternative of the existing methods, biometric technology has been paid much attention for the last few decades. In this paper, we propose an efficient system for recognizing the identity of a living person by analyzing iris patterns which have a high level of stability and distinctiveness than other biometric measurements. The proposed system is based on wavelet transform and a competitive neural network with the improved mechanisms. After preprocessing the iris data acquired through a CCD camera, feature vectors are extracted by using Haar wavelet transform. LVQ(Learning Vector Quantization) is exploited to classify these feature vectors. We improve the overall performance of the proposed system by optimizing the size of feature vectors and by introducing an efficient initialization of the weight vectors and a new method for determining the winner in order to increase the recognition accuracy of LVQ. From the experiments, we confirmed that the proposed system has a great potential of being applied to real applications in an efficient and effective way.

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2D DWT Processor for Real-time Embedded Applications (실시간 내장형 응용을 위한 2차원 웨이브렛 변환 프로세서)

  • 정갑천;박성모
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.40 no.2
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    • pp.17-25
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    • 2003
  • In this paper, a processor architecture is proposed based on the state space implementation technique for real time processing of 2-D discrete wavelet transform(DWT). It conducts 2-D DWT operations in consideration of row and column direction simultaneously, thus can reduce latency due to memory access for storing intermediate results. It is a VLSI architecture suitable for real time processing. The proposed architecture includes only four multipliers and four adders, and NK-N internal memory storage, where K denotes the length of filter. It has a small hardware complexity. Therefore it is very suitable architecture for real time, embedded applications such as web camera server. Since the processor is easily extended to array structure, it can be applied to various image processing applications.