• Title/Summary/Keyword: Subband Energy

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A Study on the Subband Coding System Using Motion Compensation Techniques (이동 보상 기법을 이용한 서브밴드 부호화 시스템에 관한 연구)

  • 이기승;박용철;서정태;윤대희
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.10
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    • pp.99-111
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    • 1994
  • A motion picture compression scheme using subband coding with motion compensation is presneted in this paper. A hierarchical subband decomposition is used to split the image signal into 10 subbands with a 3-layer pyramid structure and motion compensation is used in each band. However, in this case, motion vector information is drastically increased; therefore, initial motion vectors are estimated in the highest pyramid and motion vectors are refined using the reconsructed subband signal in each layer. Simulation results show that the proposed method compares favorably in terms of prediction error energy and side informatio with methods requiring additional information. Images recostructed from the proposed method show good quality compared to those reconstructed using blockwise DCT.

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Subband Acoustic Echo Canceller with Double-Talk Detector Using Weighted Overlap-add Method and Dedicated filter (동시 통화검출 전용필터와 가중 Overlap-Add 기법을 적용한 서브밴드 음향 반향 제거기)

  • 고충기;이원철;이충용
    • The Journal of the Acoustical Society of Korea
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    • v.19 no.8
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    • pp.35-46
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    • 2000
  • In this paper, we propose a subband acoustic echo canceller using the weighted Overlap-add adaptive filter bank to prevent the decrease of convergence speed in full-band US processing, and make it possible to realize the adaptive filter in block-parallel processing, this paper introduces the weighted overlap-add technique for subband echo canceller. Moreover, we propose a new double-talk detector which employs dedicated filter in addition to the energy comparison method simultaneously. The computer simulation results show that the performance of the proposed subband adaptive echo canceller double-talk detection

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A Fast Motion Estimation using Characteristics of Wavelet Coefiicients (웨이블릿 계수 특성을 이용한 고속 움직임 추정 기법)

  • Sun, Dong-Woo;Bae, Jin-Woo;Yoo, Ji-Sang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.4C
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    • pp.397-405
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    • 2003
  • In this paper, we propose an efficient motion estimation algorithm which can reduce computational complexity by using characteristics of wavelet coefficient in each subband while keeping about the same image quality as in using MRME(multiresolution motion estimation). In general, because of the high similarity between consecutive frames, we first decide whether the motion exists or not by just comparing MAD(mean absolute difference) between blocks with threshold in the lowest subbands of consecutive two frames. If it turns out that there is no motion in the lowest subband, we can also decide no motion exists in the higher subband. This is due to the characteristics of wavelet transform. Conversely, if we find any motion in the lowest subband, we can reduce computational complexity by estimating high subband motion vectors selectively according to the amount of computational complexity by estimating high subband motion vectors selectively according to the amount of energy in that subband. Experimental results are shown that algorithm suggested in this paper maintains about the same PSNR as MRME. However, the processing time was reduced about 30-50% compared with the MRME.

Smoke Detection Using the Ratio of Variation Rate of Subband Energy in Wavelet Transform Domain (웨이블릿 변환 영역에서 부대역 에너지 변화율의 비를 이용한 연기 감지)

  • Kim, JungHan;Bae, Sung-Ho
    • Journal of Korea Multimedia Society
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    • v.17 no.3
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    • pp.287-293
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    • 2014
  • Early fire detection is very important to avoid loss of lives and material damage. The conventional smoke detector sensors have difficulties in detecting smoke in large outdoor areas. The video-based smoke detection can overcome these drawbacks. This paper proposes a new smoke detection method in video sequences. It uses the ratio of variation rate of subband energy in the wavelet transform domain. In order to reduce the false alarm, candidate smoke blocks are detected by using motion, decrease of chromaticity and the average intensity of block in the YUV color space. Finally, it decides whether the candidate smoke blocks are smokes or not by using their temporal changes of subband energies in the wavelet transform domain. Experimental results show that the proposed method noticeably increases the accuracy of smoke detection and reduces false alarm compared with the conventional smoke detection methods using wavelets.

Self-Consistent Calculation of Electronic Subband Structure at GaInAs/InP Heterojunction (Self-Consistent 방법에 의한 GaInAs/InP 이종접합에서의 전자 부밴드 구조계산)

  • Kong, Joon-Jin;Park, Seong-Ho;Kim, Choon-Won;Han, Baik-Hyung;,
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.26 no.1
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    • pp.38-47
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    • 1989
  • Calculated results for subband structures of electrons in GaInAs/InP hegerojunctions are presented, and their sensitivity to two parameters background impurity concentrations in the GaInAs, heterojunction barrier height-is examined. Energy levels, Fermi level and population of the ground energy level are increased with background impurity concentrations. The difference of the ground and first-excited energy levels is also increased with the increase of barrier height. However, the difference of the energy levels is almost invariable with barier height. But, population of the ground energy level decreases, but that of the first-excited energy level shows a slight increase.

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Gait Recognition and Person Identification for Surveillance Robots (걸음걸이 인식을 통한 감시용 로봇에서의 개인 확인)

  • Park, Jin-Il;Lee, Wook-Jae;Cho, Jae-Hoon;Song, Chang-Kyu;Chun, Myung-Geun
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.5
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    • pp.511-518
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    • 2009
  • The surveillance robot has been an important component in the field of service robot industry. In the surveillance robot technology, one of the most important technology is to identify a person. In this paper, we propose a gait recognition method based on contourlet and fuzzy LDA (Linear Discriminant Analysis) for surveillance robots. After decomposing a gait image into directional subband images by contourlet, features are obtained in each subband by the fuzzy LDA. The final gait recognition is performed by a fusion technique that effectively combines similarities calculated respectively in each local subband. To show the effectiveness of the proposed algorithm, various experiments are performed for CBNU and NLPR DB datasets. From these, we obtained better classification rates in comparison with the result produced by previous methods.

Quad-tree Subband Quantizer Design for Digital Hologram Encoding based on Fresenelet (프레넬릿 기반의 디지털 홀로그램 부호화를 위한 쿼드트리 부대역 양자화기 설계)

  • Seo, Young-Ho;Kim, Moon Seok;Kim, Dong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.5
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    • pp.1180-1188
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    • 2015
  • In this paper, we propose a new subband quantizer which is a type of quad-tree for applying to digital hologram compression based on Fresenelet transform. After executing Fresnelet transform to the captured digital holgoram, we analyze effect of the designed quantizer for the reconstructed objects from analyzing average energy of each coefficient and visual importance in all subbands. We analyze distribution of coefficient and set dynamic range for each subband, and then design subband quantizer. For enhancing effectiveness of the designed quantize, we adopt a method using the coefficients which are located out of dynamic range, which are named by exception indices. From this, we can obtain more effective quantizer which has higher performance in a range of σ′ = 5.0.

Watermarking Algorithm using Power of Subbands Decomposed by Wavelet Packet and QIM (웨이블릿 패킷 변환한 후의 대역별 에너지와 QIM을 이용한 워터마킹 알고리즘)

  • Seo, Ye-Jin;Cho, Sang-Jin;Chong, Ui-Pil
    • Journal of Korea Multimedia Society
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    • v.14 no.11
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    • pp.1431-1437
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    • 2011
  • This paper proposes a novel watermarking algorithm that protects digital copyrights and is robust to attacks. Watermarks are embedded in the subband including the significant part of the signal such as a pitch. Generally, the subband containing the pitch has the biggest energy. In order to find this subband, wavelet packet transform is used to decompose the subbands and their energy are calculated. The signal of the selected subbands is transformed in frequency domain using FFT. The watermarks are embedded using QIM for samples higher than a certain threshold. The blind detection uses the Euclidean distance. The proposed method shows less than 5% BER in the audio watermark benchmarking.

Image Retrieval Using Color feature and GLCM and Direction in Wavelet Transform Domain (Wavelet 변환 영역에서 칼라 정보와 GLCM 및 방향성을 이용한 영상 검색)

  • 이정봉
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2002.05a
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    • pp.585-589
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    • 2002
  • In this paper, hierarchical retrieval system based on efficient feature extraction is proposed. In order to retrieval the image with robustness for geometrical transformation such as translation, scaling, and rotation. After performing the 2-level wavelet transform on image, We extract moment in low-level subband which was subdivided into subimages and texture feature, contrast of GLCM(Gray Level Co-occurrence Matrix). At first we retrieve the candidate images in database by the ones of image. To perform a more accurate image retrieval, the edge information on the high-level subband was subdivided horizontally, vertically and diagonally. And then, the energy rate of edge per direction was determined and used to compare the energy rate of edge between images for higher accuracy.

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A study of room temperature PR(photoreflectance) charicteristics for AlGaAs/GaAs multiple-quantum well (AlGaAs/GaAs multiple-quantum well에 대한 상온에서의 photoreflectance 특성연구)

  • 김동렬;최현태;배인호;김말문;한병국;우덕하;김선호;최상삼
    • Journal of the Korean Vacuum Society
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    • v.6 no.2
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    • pp.109-113
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    • 1997
  • PR spectra of MBE grown AlGaAs/GaAs MQW have been measured at room temperature using the He-Ne laser and the Ar laser as the pump source. We have observed various subband transition peaks and PR spectra were fitted to standard analytic line shape. Above that results, obtained us transition energy from n=1 conduction band to heavy hole(C1-H1) and to light hole(C1-L1) subband. Photoluminescence(PL) at room temperature showed main peak with a shoulder. Good agreement between PL and PR measured n=1 intersubband transition energies was confirmed that PL main peak with a shoulder is associated with the C1-H1, C1-L1 transition. Additionally, we have calculated the C1-H1 and C1-L1 intersubband energy within envelope function approximation(EFA).

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