• Title/Summary/Keyword: 3D-복원

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Adaptive Image Restoration of Median Filter Using Local Statistics (국부 통계를 이용한 메디안 필터의 적응 영상 복원)

  • 김남철;윤장홍;황찬식
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.24 no.5
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    • pp.863-867
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    • 1987
  • When digital image signals are transmitted or stored, they may be usually degraded by impulsive noise such as BSC noise. Though median filtering is a very effective method to reduce the impulsive noise, it brings non-negligible distortion after filtering. Several algorithms have been proposed to reduce such a distortion, but their reconstructed image quality are inadequate in some cases and they have a difficulty in real-time processing. In this paper, an effective filtering algorithm which can not only reduce the noise effectively but also preserve the edges well and lessen the distortion greatly, is presented. The proposed algorithm is an adaptive algorithm of median filter using local statistics, based on the characteristics of human eyes. The adaptive algorithm results shwo performance improvement of up to 3-4 dB over the nonadaptive one.

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A Study on demosaicking using DCGAN (DCGAN을 활용한 디모자이킹에 관한 연구)

  • Jang, Young-chae;Anisetti, Macro;Jeon, Gwanggil
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.792-794
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    • 2018
  • 본 연구에서는 일반적으로 R,G,B 색 평면의 높은 상관관계를 이용하여 컬러 복원을 시도하던 기존의 방법의 문제점을 정의하고, DCGAN을 활용한 디모자이킹에 관한 연구를 소개한다. 약 2000장의 $256{\times}256$ 이미지를 학습데이터를 이용하였다. 보다 나은 결과를 위하여 R,G,B 색상 채널에 따라 각각의 네트워크를 구성하고 학습하였다. 제안 방법은 Intel Core i7-7770 CPU(3.60GHz), 16GB Memory,NVIDIA GeForce GTX1080Ti 구성의 Laptop에서 진행하였고, 평균 PSNR 22.5dB 정도의 성능을 보인다.

Performance analysis of audio super-resolution based on neural networks (신경망 기반 오디오 초 해상도 기술 성능 분석)

  • Lim, Wootaek;Beack, Seungkwon;Sung, Jongmo;Lee, Taejin
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2020.07a
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    • pp.337-339
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    • 2020
  • 오디오 초 해상도 기술은 저 해상도의 오디오 신호를 이용하여 고 해상도의 오디오를 복원 또는 생성해 내는 기술이다. 본 기술 분야는 기존에 주파수 대역 확장, 인공 대역 확장 기술 등으로 연구되었으나, 최근 딥러닝 기술의 발전, 이미지 초 해상도 기술 연구 등에 힘입어 오디오 초 해상도 기술 이라는 이름으로 주로 연구되고 있다. 본 논문에서는 이러한 오디오 초 해상도 기술에 연구 동향에 대하여 설명하고, 기존의 논문 들에서 주로 다루고 있는 음성 데이터 베이스가 아닌 MedleyDB 음악 데이터 베이스를 활용하여 실험을 수행하였다. 실험은 4-폴드 교차 검증을 통해 수행되었으며, 실험 결과 제안하는 컨벌루션 신경망 구조 기반 오디오 초 해상도 기술은 입력 저해상도 오디오 대비 SNR 이 3.41 dB 향상됨을 확인하였다.

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Neural Network-Based Post Filtering of Atlas for Immersive Video Coding (몰입형 비디오 부호화를 위한 신경망 기반 아틀라스 후처리 필터링)

  • Lim, Sung-Gyun;Lee, Kun-Woo;Kim, Jeong-Woo;Yoon, Yong-Uk;Kim, Jae-Gon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2022.06a
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    • pp.239-241
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    • 2022
  • MIV(MPEG Immersive Video) 표준은 제한된 3D 공간의 다양한 위치의 뷰(view)들을 효율적으로 압축하여 사용자에게 임의의 위치 및 방향에 대한 6 자유도(6DoF)의 몰입감을 제공한다. MIV 의 참조 소프트웨어인 TMIV(Test Model for Immersive Video)에서는 몰입감을 제공하기 위한 여러 시점의 입력 뷰들 간의 중복 영역을 제거하고 남은 영역들을 패치(patch)로 만들어 패킹(packing)한 아틀라스(atlas)를 생성하고 이를 압축 전송한다. 아틀라스 영상은 일반적인 영상 달리 많은 불연속성을 포함하고 있으며 이는 부호화 효율을 크게 저하시키다 본 논문에서는 아틀라스 영상의 부호화 손실을 줄이기 위한 신경망 기반의 후처리 필터링 기법을 제시한다. 제안기법은 기존의 TMIV 와 비교하여 아틀라스의 복원 화질 향상을 보여준다.

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An Experimental Study on the Dynamic Characteristics of Rubber Isolator (실험에 의한 방진고무의 동특성에 관한 연구)

  • Kim, W.D.;Kim, K.S.;Kwon, J.D.;Woo, C.S.
    • Elastomers and Composites
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    • v.37 no.3
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    • pp.183-191
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    • 2002
  • Rubber materials with excellent damping property are widely applied for vibration isolators. The dynamic characteristics of the rubber materials for vibration isolators were investigated. Dynamic tests for rubber materials with five different hardness were performed. In dynamic tests for test specimen, non-resonance method was used to obtain the dynamic storage modulus and loss factor. Moreover, the effect of dynamic vibration frequency, strain amplitude and temperature were investigated. As results, the storage modulus and loss factor generally increase when the hardness and frequency increase, and the glass transition temperature is $-50^{\circ}C$ by a large change in modulus and loss factor.

Selection of Plant Species for Phytoremediation of Heavy Metal (As and Cd) Contaminated Soil using Hydroponic Culture (수경재배에 의한 중금속 (As 및 Cd) 오염토양의 식물상 복원공법 적용 식물종 선별)

  • Bumjun Kim;Bumhan Bae;Younghun Kim
    • Journal of Soil and Groundwater Environment
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    • v.29 no.1
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    • pp.28-38
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    • 2024
  • Phytoremediation presents a low-carbon and eco-friendly solution for heavy metal-contaminated soils, which pose great health and environmental risks to humans and ecosystems. A hydroponic culture was used to quantitatively assess the phytoremediation potential of plant species to remediate As or Cd-contaminated soil in field application. This study examined the growth, uptake, and distribution of Cd in the roots and shoots of Phalaris arundinacea and Brassica juncea in hydroponic conditions with Cd concentrations ranging from 0 to 20 mg/L for 10 days. Additionally, Aster koraiensis and Pteris multifida were cultivated in hydroponic conditions containing As concentrations ranging from 0 to 40 mg/L for 10 days. The concentrations of Cd in the above-ground part and root tissues of P. arundinacea and B. juncea reached a maximum of 147.7 and 1926.7 mg/kg-D.W.(Dry Weight), and 351.6 and 11305.5 mg/kg-D.W., respectively. Bioconcentration factor (BCF) for P. arundinacea and B. juncea were 68.9 and 122.3, respectively. Both species exhibited a translocation factor (TF) of less than 0.1, indicating their eligibility for phytostabilization. Aster koraiensis exhibited significant As accumulation of 155.1 and 1306.7 mg/kg D.W. in the above-ground part and root, respectively. However, this accumulation resulted with substantial weight loss and the manifestation of toxic symptoms. P. multifida exhibited higher accumulation of As (345.1 mg/kg-D.W.) in the fronds than in the roots (255.4 mg/kg-D.W.), corresponding to BCF values of 18.6 and 7.6, respectively, and a TF greater than 1.2. A TF value greater than 1.0 indicates that P. multifida is a viable option for phytoextraction.

A Relative Study of 3D Digital Record Results on Buried Cultural Properties (매장문화재 자료에 대한 3D 디지털 기록 결과 비교연구)

  • KIM, Soohyun;LEE, Seungyeon;LEE, Jeongwon;AHN, Hyoungki
    • Korean Journal of Heritage: History & Science
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    • v.55 no.1
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    • pp.175-198
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    • 2022
  • With the development of technology, the methods of digitally converting various forms of analog information have become common. As a result, the concept of recording, building, and reproducing data in a virtual space, such as digital heritage and digital reconstruction, has been actively used in the preservation and research of various cultural heritages. However, there are few existing research results that suggest optimal scanners for small and medium-sized relics. In addition, scanner prices are not cheap for researchers to use, so there are not many related studies. The 3D scanner specifications have a great influence on the quality of the 3D model. In particular, since the state of light reflected on the surface of the object varies depending on the type of light source used in the scanner, using a scanner suitable for the characteristics of the object is the way to increase the efficiency of the work. Therefore, this paper conducted a study on nine small and medium-sized buried cultural properties of various materials, including earthenware and porcelain, by period, to examine the differences in quality of the four types of 3D scanners. As a result of the study, optical scanners and small and medium-sized object scanners were the most suitable digital records of the small and medium-sized relics. Optical scanners are excellent in both mesh and texture but have the disadvantage of being very expensive and not portable. The handheld method had the advantage of excellent portability and speed. When considering the results compared to the price, the small and medium-sized object scanner was the best. It was the photo room measurement that was able to obtain the 3D model at the lowest cost. 3D scanning technology can be largely used to produce digital drawings of relics, restore and duplicate cultural properties, and build databases. This study is meaningful in that it contributed to the use of scanners most suitable for buried cultural properties by material and period for the active use of 3D scanning technology in cultural heritage.

The Study of Relations between Positive Psychological Capital, Career Planning, and Job Preparation Activities of Physical Education Students (체육계열학과 대학생들의 긍정심리자본과 경력계획 및 취업준비행동의 관계에 관한 연구)

  • Han, Hui-Seung;Lee, Keun-Mo
    • 한국체육학회지인문사회과학편
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    • v.55 no.3
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    • pp.59-69
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    • 2016
  • The aim of this study is to reveal the relations between positive psychological capital, career planning, and job preparation activities of physical education students. To do that, pilot survey and main survey are separately conducted. At first, pilot survey is carried out in September 9, 2015 with third and fourth grade of students in D University in Kyeongbuk. Main survey is conducted with students majoring in physical education in Youngnam province except for the students who are participated in pilot survey. In main survey, 310 questionnaires are collected. However, 7 questionnaires are excluded because they are not suitable for the study, so 303 cases are used to conduct analysis of frequency. Multiple regression analysis in SPSS version 23.0 for windows statistical package program is used and the results are presented as follow; First, dynamic stability, hope, and optimism in positive psychological capital of physical education students have a positive effect on career planning. Second, optimism, dynamic stability, and self-efficacy in positive psychological capital of physical education students have positive influence on career planning. Third, the order of concreteness and challenge in career planning of psychological education students positively affect job preparation.

Efficient Intermediate Joint Estimation using the UKF based on the Numerical Inverse Kinematics (수치적인 역운동학 기반 UKF를 이용한 효율적인 중간 관절 추정)

  • Seo, Yung-Ho;Lee, Jun-Sung;Lee, Chil-Woo
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.47 no.6
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    • pp.39-47
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    • 2010
  • A research of image-based articulated pose estimation has some problems such as detection of human feature, precise pose estimation, and real-time performance. In particular, various methods are currently presented for recovering many joints of human body. We propose the novel numerical inverse kinematics improved with the UKF(unscented Kalman filter) in order to estimate the human pose in real-time. An existing numerical inverse kinematics is required many iterations for solving the optimal estimation and has some problems such as the singularity of jacobian matrix and a local minima. To solve these problems, we combine the UKF as a tool for optimal state estimation with the numerical inverse kinematics. Combining the solution of the numerical inverse kinematics with the sampling based UKF provides the stability and rapid convergence to optimal estimate. In order to estimate the human pose, we extract the interesting human body using both background subtraction and skin color detection algorithm. We localize its 3D position with the camera geometry. Next, through we use the UKF based numerical inverse kinematics, we generate the intermediate joints that are not detect from the images. Proposed method complements the defect of numerical inverse kinematics such as a computational complexity and an accuracy of estimation.

Implementation of File-referring Octree for Huge 3D Point Clouds (대용량 3차원 포인트 클라우드를 위한 파일참조 옥트리의 구현)

  • Han, Soohee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.32 no.2
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    • pp.109-115
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    • 2014
  • The aim of the study is to present a method to build an octree and to query from it for huge 3D point clouds of which volumes correspond or surpass the main memory, based on the memory-efficient octree developed by Han(2013). To the end, the method directly refers to 3D point cloud stored in a file on a hard disk drive instead of referring to that duplicated in the main memory. In addition, the method can save time to rebuild octree by storing and restoring it from a file. The memory-referring method and the present file-referring one are analyzed using a dataset composed of 18 million points surveyed in a tunnel. In results, the memory-referring method enormously exceeded the speed of the file-referring one when generating octree and querying points. Meanwhile, it is remarkable that a still bigger dataset composed of over 300 million points could be queried by the file-referring method, which would not be possible by the memory-referring one, though an optimal octree destination level could not be reached. Furthermore, the octree rebuilding method proved itself to be very efficient by diminishing the restoration time to about 3% of the generation time.