• Title/Summary/Keyword: residual 영상

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Wavelet-Based Noise Estimation in Image (웨이브릿에 기반한 영상의 잡음추정)

  • 안태경;우동헌;김재호
    • Proceedings of the IEEK Conference
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    • 2001.09a
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    • pp.747-750
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    • 2001
  • The paper presents an algorithm for estimating the variance of additive zero mean Gaussian noise in an image. The algorithm uses the wavelet transform which is a good tool for energy compaction. The algorithm consists of three steps. At first, high frequency components, wavelet coefficients in HH band, are generated from a noisy image by the wavelet transform. In a second step, high frequency components which are out of the noise range ate eliminated. Finally, if the image has many components eliminated in the previous step, then its noise estimated value is reduced. Experimental results show that the wavelet filter has better performance than the other high pass filters such as a Laplacian filter, residual from a median filter, residual from a mean filter, and a difference operator. In various images, the algorithm reduces 50% of estimated error on an average.

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A CASE REPORT OF MULTIPLE CYSTS IN THE JAWS (다발성 낭종의 증예보고)

  • Park Tae Won;Lee Sang Rae
    • Journal of Korean Academy of Oral and Maxillofacial Radiology
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    • v.3 no.1
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    • pp.35-38
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    • 1973
  • The authors have interpreted one patient's full mJuth intra-oral films, oblique- lateral film of the left mandible and orthopantomograph which revealed 6 radicular and 1 residual cysts. As a results of interpretation of these serial films, we have drawn following conclusions: 1. Radicular cyst arose from the cell rests contained in an apical granuloma which was sequel to advanced pulpitis due to dental caries. 2. Residual cyst was developed from remaining cell rests after the extraction of a tooth with such a radicular cyst or apical dental granuloma. 3. Cyst grew in size by absorption of fluid into cystic cavity due to difference in osmotic pressure between the cystic fluid and adjacent tissue fluid.

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An improved SRTS algorithm for DS3 rate video communication (DS3급 영상 통신을 위한 개선된 동기식 나머지 타임스탬프(SRTS) 알고리즘)

  • 이종형;김태균
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.2
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    • pp.417-426
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    • 1996
  • The end-to-end service clock recovery is a critical issue in providing constandt bit rate service through ATM network. The Synchronous Residual Time Stamp(SRTS) algorithm is used to recovery the source clock using time stamp of transmitter. In thispaper, we propose a Differential Residual Time Stamp (DRTS) transmission mechanism to effectively deliver the timing information of source clock in SRTS algorithm. The RTS transmission method simple in its hardware. From the results of field trial of DS3 rate interactive video communication system through B-ISDN testbed, it can be identified that DRTS method is superior to the RTS method.

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Temporally-Consistent High-Resolution Depth Video Generation in Background Region (배경 영역의 시간적 일관성이 향상된 고해상도 깊이 동영상 생성 방법)

  • Shin, Dong-Won;Ho, Yo-Sung
    • Journal of Broadcast Engineering
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    • v.20 no.3
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    • pp.414-420
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    • 2015
  • The quality of depth images is important in the 3D video system to represent complete 3D contents. However, the original depth image from a depth camera has a low resolution and a flickering problem which shows vibrating depth values in terms of temporal meaning. This problem causes an uncomfortable feeling when we look 3D contents. In order to solve a low resolution problem, we employ 3D warping and a depth weighted joint bilateral filter. A temporal mean filter can be applied to solve the flickering problem while we encounter a residual spectrum problem in the depth image. Thus, after classifying foreground andbackground regions, we use an upsampled depth image for a foreground region and temporal mean image for background region.Test results shows that the proposed method generates a time consistent depth video with a high resolution.

Extraction of Expansion Length for Expansion Jiont Bridge using Imagery (영상을 이용한 교량 신축이음부의 신축량 추출)

  • Seo, Dong-Ju;Kim, Ga-Ya
    • Journal of the Korean Association of Geographic Information Studies
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    • v.11 no.4
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    • pp.139-149
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    • 2008
  • A load effect by vehicles running on a road and an increase of traffic is distinguished as a serious issue in the level of bridges' maintenance and management since it causes a quick damage of bridges. The expansion joint is the most important since it makes vehicles' traveling amicable and stress or additional load harmful to molding patterns minimized. However, it is very difficult to measure its expansion length since vehicles continue to pass on the expansion joint. Therefore, the study could see that it was possible to carry out a qualitative and quantitative maintenance and management if its expansion length is extracted with images. The study could acquire three dimensional coordinates of expansion joints with images. As the results of calculating RMSE of check point residual at 32 points in A area and at 28 points in B area, both A and B areas had very good results of RMSEsms 0.829mm~1.680mm. As the results of analyzing expansion length and immediate value extracted by images, the study analyzed that RMSE of A area was 0.64mm and RMSE of B area was 0.28. The average residual of A area was 0.60% and the average rresidual of B area was 0.27%. Therefore, it is judged that it is more scientific and efficient than the past to measure expansion length with images at the time of repairing and managing bridges in the future.

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Sunken Ship Precision Image Analysis Using Multi-Beam Echo Sounding Data (다중빔음향측심 자료를 이용한 침몰선박 정밀영상 분석 연구)

  • Lee, Seung-Hyun;Seo, Young Kyo;Suh, Jae-Joon
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.22 no.7
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    • pp.863-868
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    • 2016
  • In this study, the precise shapes of sunken ships and information on seafloor topography were analyzed using data obtained from a multi-beam echo sounder. The state of each sunken ship was analyzed by processing diverse imagery data which was compared with data obtained from past investigations to determine changes in the state and circumjacent seafloor topography. Apparent changes in the seafloor topography around one sunken ship, the "Pacific Friend", were found from stern to bow as a result of continued submarine erosion and sedimentation. In the case of sunken ship "No. 7 Haeseong", the partial collapse of the bow was revealed in the seabed images captured in 2015, though it had still been intact in images captured during the Korea Hydrographic and Oceanographic Agency's investigation in 2011. This partial collapse was presumed to have resulted from the effects of continued tidal currents, the cargo load of the ship and continued corrosion of the ship over a long time on the seabed. Continuous monitoring of residual fuel inside the ship is necessary to avoid leakage and potential marine pollution. By conducting image analysis on these sunken ships, it has been determined that the structural safety of the ships is seriously influenced by tidal currents and seafloor topography, while the hulls will be continuously changed by corrosion. As a result, it can be concluded that the development of prediction and response techniques that take into consideration residual fuel leakage and environmental changes according to the geological characteristics of sunken ships is necessary.

Characteristics of the SAR Images and Interferometric Phase over Oyster Sea Farming Site (굴 양식장에서의 SAR 영상 및 간섭위상 특성)

  • 김상완;이창욱;원중선
    • Korean Journal of Remote Sensing
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    • v.18 no.4
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    • pp.209-220
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    • 2002
  • We carried out studies on SAR image intensity and interferometric phase over oyster sea farms. Strong backscattering was observed in amplitude images, and that was considered as a radar signal double bouncing from horizontal bars. These sea farming structures are not visible in satellite optical images except IKONOS image, so that it demonstrates the value of radar remote sensing as an effective tool in support of sea farm detection. The intensity of the image is sensitive to system parameters including wavelength, polarization, and look direction, but does not correlate to tide height. We found that the strongest backscattering can be obtained by L-band HH-polarization with a look direction perpendicular to the horizontal bar. We also succeeded in generating 21 coherent JERS-1 SAR interferometric pairs over the oyster farms. The general trend of the fringe rate of the interferometric phases appeared to be governed by altitude of ambiguity. The general trend was modeled by an inverse function and removed to have a residual phase. The residual phase showed a linear relation with the tide height. The results demonstrate for the first time that SAR can possibly be used to estimate sea level. However, the r.m.s. error of a regression line is 11.7 cm, and that is so far too large to make reliable assessments of sea level in practical applications. Further studies is required to improve the accuracy specifically using multi-polarization SAR data.

A comparative study on keypoint detection for developmental dysplasia of hip diagnosis using deep learning models in X-ray and ultrasound images (X-ray 및 초음파 영상을 활용한 고관절 이형성증 진단을 위한 특징점 검출 딥러닝 모델 비교 연구)

  • Sung-Hyun Kim;Kyungsu Lee;Si-Wook Lee;Jin Ho Chang;Jae Youn Hwang;Jihun Kim
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.5
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    • pp.460-468
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    • 2023
  • Developmental Dysplasia of the Hip (DDH) is a pathological condition commonly occurring during the growth phase of infants. It acts as one of the factors that can disrupt an infant's growth and trigger potential complications. Therefore, it is critically important to detect and treat this condition early. The traditional diagnostic methods for DDH involve palpation techniques and diagnosis methods based on the detection of keypoints in the hip joint using X-ray or ultrasound imaging. However, there exist limitations in objectivity and productivity during keypoint detection in the hip joint. This study proposes a deep learning model-based keypoint detection method using X-ray and ultrasound imaging and analyzes the performance of keypoint detection using various deep learning models. Additionally, the study introduces and evaluates various data augmentation techniques to compensate the lack of medical data. This research demonstrated the highest keypoint detection performance when applying the residual network 152 (ResNet152) model with simple & complex augmentation techniques, with average Object Keypoint Similarity (OKS) of approximately 95.33 % and 81.21 % in X-ray and ultrasound images, respectively. These results demonstrate that the application of deep learning models to ultrasound and X-ray images to detect the keypoints in the hip joint could enhance the objectivity and productivity in DDH diagnosis.

On-Board Black Body Thermal Design and On-Orbit Thermal Analysis for Non-Uniformity Correction of Space Imagers (영상센서의 비균일 출력특성 교정용 흑체의 열설계 및 궤도 열해석)

  • Oh, Hyun-Ung;Shin, So-Min;Hong, Ju-Sung;Lee, Min-Kyu
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.38 no.10
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    • pp.1020-1025
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    • 2010
  • On-board black body is used for radiation temperature calibration of spaceborne radiometers and imaging systems. The thermal design of black body proposed in this study is basically composed of heaters to heat-up the black body from low to high temperature during the calibration, heat pipe to transfer residual heat on the black body just after calibration to radiator on the S/C and heaters on the radiator to keep the certain temperature range of the black body during non-calibration. In the present work, the effectiveness of thermal design of on-board black body has been investigated by on-orbit thermal analysis.

Development of Scalable Video Encoder S/W using layer based multi-processing (레이어 단위 멀티 프로세싱을 이용한 스케일러블 비디오 인코더 S/W 개발)

  • Yi, Joo-Young;Kim, Jewoo;Kim, Yong-Hwan;Choi, Byeong Ho
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2011.07a
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    • pp.598-601
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    • 2011
  • 스케일러블 비디오 코딩은 레이어간 예측 기능을 이용하여 시뮬케스트 코딩에 비해 코딩 효율을 높인다. 하지만 스케일러블 비디오 코딩의 레이어간 예측으로는, 인트라 픽셀(inta pixel). 모션 정보(motion vector information), 레지듀얼(residual)등의 예측이 수행되는데, 이는 많은 계산 시간을 소요하게 되며, 시뮬케스트에 비해 코딩 시간이 증가하게 된다. 특히 인코더의 경우, 가장 최적의 모드를 선택하기 위하여, 기존 H.264 AVC에서 사용하는 예측을 수행한 뒤, 부가적으로 스케일러블 비디오 코딩의 레이어간 예측을 수행하기 때문에, 하나의 영상이 많은 레이어를 포함할수록 인코딩에 의한 계산부하가 매우 증가하게 된다. 본 논문에서는 이를 해결하기 위해, 멀티 코어 이용하여 레이어별로 병렬처리가 가능하도록 하는 스케일러블 비디오 인코더의 구조를 제안한다. 이로써 하나의 영상이 포함하는 레이어의 수가 증가함에 따라 발생하는 인코딩 계산 부하를 줄이도록 하였다. 그리하여 본 논문에서 제안하는 구조를 적용하였을 때, 2개의 공간영역으로의 스케일러빌리티를 가지는 영상들에 대해서는 평균 24.8%의 속도가 향상되었고, 1개의 공간영역과 1개의 화질 영역으로의 스케일러빌리티를 가지는 영상들에 대해서는 평균 82%의 속도 향상을 보였다.

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