• Title/Summary/Keyword: Resolution

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A High-Resolution Image Reconstruction Method Utilizing Automatic Input Image Selection from Low-Resolution Video (저해상도 동영상에서의 자동화된 입력영상 선별을 이용한 고해상도 영상 복원 방법)

  • Kim Sung-Deuk
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.43 no.2 s.308
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    • pp.12-18
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    • 2006
  • This paper presents a method to extract a good high-resolution image from a low-resolution video in an automatic manner. Since a high-resolution image reconstruction method utilizing several low-resolution input images works better than a conventional interpolation method utilizing single low-resolution input image only if the input images are well registered onto a common high-resolution grid, low-resolution input images should be carefully chosen so that the registration errors can be carefully considered. In this paper, the statistics obtained from the motion-compensated low-resolution images are utilized to evaluate the feasibility of the input image candidates. Maximum motion-compensation error is estimated from the high-resolution image observation model. U the motion-compensation error of the input image candidate is greater than the estimated maximum motion-compensation error, the input image candidate is discarded. The number of good input image candidates and the statistics of the motion-compensation errors are used to choose final input images. The final input images chosen from the input image selection block are given to the following high-resolution image reconstruction block. It is expected that the proposed method is utilized to extract a good high-resolution image efficiently from a low-resolution video without any user intervention.

Low Complexity Super Resolution Algorithm for FOD FMCW Radar Systems (이물질 탐지용 FMCW 레이더를 위한 저복잡도 초고해상도 알고리즘)

  • Kim, Bong-seok;Kim, Sangdong;Lee, Jonghun
    • IEMEK Journal of Embedded Systems and Applications
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    • v.13 no.1
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    • pp.1-8
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    • 2018
  • This paper proposes a low complexity super resolution algorithm for frequency modulated continuous wave (FMCW) radar systems for foreign object debris (FOD) detection. FOD radar has a requirement to detect foreign object in small units in a large area. However, The fast Fourier transform (FFT) method, which is most widely used in FMCW radar, has a disadvantage in that it can not distinguish between adjacent targets. Super resolution algorithms have a significantly higher resolution compared with the detection algorithm based on FFT. However, in the case of the large number of samples, the computational complexity of the super resolution algorithms is drastically high and thus super resolution algorithms are difficult to apply to real time systems. In order to overcome this disadvantage of super resolution algorithm, first, the proposed algorithm coarsely obtains the frequency of the beat signal by employing FFT. Instead of using all the samples of the beat signal, the number of samples is adjusted according to the frequency of the beat signal. By doing so, the proposed algorithm significantly reduces the computational complexity of multiple signal classifier (MUSIC) algorithm. Simulation results show that the proposed method achieves accurate location even though it has considerably lower complexity than the conventional super resolution algorithms.

A Study on High Resolution Reconstruction Algorithms for improving Resolution (해상도 향상을 위한 고해상도 복원 알고리즘 연구)

  • Baek, Young-Hyun;Moon, Sung-Ryong
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.1
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    • pp.72-79
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    • 2007
  • In this paper, It propose a new restoration algorithm of high resolution, which is reconstructed to high resolution image using low resolution image informations. The proposed algorithm is constructed based on super resolution theory, it is consisted of progressive steps of the integration and construction. It reduced a lot of data-processing capacity and noise with integration through sub-pixel movement and wavelet basis through a higher resolution. As a result, it is shown that the main information is maintained and the error rate is improved. Using expansion fuzzy wavelet B-spline interpolation in stage of construction, it is confirmed that we can achieve smoothing image and good resolution without blur and block.

Influence of Mother and Peer Attachment on Conflict Resolution Strategies of Children (모애착과 또래애착이 아동의 친구간 갈등해결전략에 미치는 영향)

  • Jung, Sun-Hyun;Lee, Hee-Yeong
    • Journal of Fisheries and Marine Sciences Education
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    • v.24 no.6
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    • pp.793-805
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    • 2012
  • This study investigated the influence of mother and peer attachment on conflict resolution strategies of children. Following research questions were established. First, what is the influence of mother and peer attachment on conflict resolution strategies of children? Second, does the influence of mother and peer attachment on conflict resolution strategies of children differ according to sex? Third, what is the relative influence of mother and peer attachment on conflict resolution strategies of children? 485 fifth graders(male, 184; female, 163) from elementary schools located in Busan participated in this study and completed Inventory of Parent and Peer Attachment and Conflict Resolution Strategies Scale. Collected data were analyzed using t-test, Pearson Correlation Coefficient, Simple Regression and Multiple Regression Analysis. Major findings of this study were summarized as follows: First, both mother and peer attachment influenced on compromising and integration, avoiding and obliging strategies although the degree of influence were different. Second, the influence of mother and peer attachment on conflict resolution strategies differ according to gender. Third, the influence of peer attachment on conflict resolution strategies were greater than the one of mother attachment. Finally the significance of this study were presented with comments on limitations of this study.

The Method of Developing an Interoperation System between Multi-Resolution Models using a HLA Adapter (HLA 연동 어댑터를 사용한 다중 해상도 모델 연동체계 개발)

  • Cho, Junho;Kim, Hee-Soo;Yoo, Min-Wook
    • Journal of the Korea Institute of Military Science and Technology
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    • v.23 no.4
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    • pp.417-425
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    • 2020
  • Multi-resolution modeling(MRM) is required when simulating objects in variable resolution and can be applied for interoperating systems, which simulate objects in fixed resolution. However, most interoperation middleware do not support MRM, so participating models must handle several issues to simulate MRM system. In this paper, we propose an interoperation system, which is composed of several different resolution models, based on the High Level Architecture and Run-Time Infrastructure(HLA/RTI). In the proposed architecture, each model participates to a HLA federation through MRM adapter application, which supports data resolution conversion and HLA services while communicating with the model. MRM adapter application can be implemented based on an MRM adapter, and an adapter application development tool is proposed to support developing the application. Using the tool, developers can easily implement data resolution conversion component plugged-in HLA adapter. A case study is implemented in the proposed MRM system, and shows that models of different resolution works successfully with dynamic resolution changes.

The Image Resolution Compare to Having Lead Plate or Not Lumbar Lateral Projection

  • Kim, Hyun-Soo;Min, Jung-Whan;Dong, Kyung-Rae
    • Korean Journal of Digital Imaging in Medicine
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    • v.13 no.4
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    • pp.145-151
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    • 2011
  • The purpose of this study is to know some changes of resolution and image if we remove scattered ray using lead plate when doing lumbar lateral projection. Using 3 DR system(2 FD types, 1 CCD type) equipments and 2 film system equipments, we gain the image whether the phantom of abdomen equivalent sticking resolution chart has lead plate or not, whether we do collimation or not. Also, we use ion chamber, measure radiation exposure rate and change to entrance surface dose from it. we gain that images in the greatest condition of taking in clinic. 5 people in this group decoded resolution with our eyes, measured thickness of images and compared them from each equiments. Resolution has difference to size of collimation in DR FD type. Also there is no difference the original image with the new image which we abbreviated mAs. In DR CCD type, resolution didn't have difference whether lead plate is or not and whether we do collimation or not. In film type, existing or nonexisting of lead plate didn't influence on resolution. Lead plate makes the quality of image higher due to reducing scattered ray, it doesn't influence on resolution.

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Studies on the Operating Requirements of Multi-Resolution Modeling in Training War-Game Model and on the Solutions for Major Issues of Multi-Resolution Interoperation between Combat21 Model and TMPS (훈련용 워게임 모델의 다중해상도모델링 운영소요 및 전투21모델과 TMPS의 다중해상도 연동간 주요 이슈 해결 방안 연구)

  • Moon, Hoseok;Kim, Suhwan
    • Journal of the Korea Institute of Military Science and Technology
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    • v.21 no.6
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    • pp.865-876
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    • 2018
  • This study focuses on the operating requirements of multi-resolution modeling(MRM) in training war-game model and proposes solutions for major issues of multi-resolution interoperation between Combat21 model and tank multi-purpose simulator(TMPS). We study the operating requirements of MRM through interviews with defense M&S experts and literature surveys and report the various issues that could occur with low-resolution model Combat21 and high-resolution model TMPS linked, for example, when to switch objects, what information to exchange, what format to switch to, and how to match data resolutions. This study also addresses the purpose and concept of training using multi-resolution interoperation, role of each model included in multi-resolution interoperation, and issue of matching damage assessments when interoperated between models with different resolutions. This study will provide the common goals and directions of MRM research to MRM researchers, defense modeling & simulation organizations and practitioners.

MRI Image Super Resolution through Filter Learning Based on Surrounding Gradient Information in 3D Space (3D 공간상에서의 주변 기울기 정보를 기반에 둔 필터 학습을 통한 MRI 영상 초해상화)

  • Park, Seongsu;Kim, Yunsoo;Gahm, Jin Kyu
    • Journal of Korea Multimedia Society
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    • v.24 no.2
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    • pp.178-185
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    • 2021
  • Three-dimensional high-resolution magnetic resonance imaging (MRI) provides fine-level anatomical information for disease diagnosis. However, there is a limitation in obtaining high resolution due to the long scan time for wide spatial coverage. Therefore, in order to obtain a clear high-resolution(HR) image in a wide spatial coverage, a super-resolution technology that converts a low-resolution(LR) MRI image into a high-resolution is required. In this paper, we propose a super-resolution technique through filter learning based on information on the surrounding gradient information in 3D space from 3D MRI images. In the learning step, the gradient features of each voxel are computed through eigen-decomposition from 3D patch. Based on these features, we get the learned filters that minimize the difference of intensity between pairs of LR and HR images for similar features. In test step, the gradient feature of the patch is obtained for each voxel, and the filter is applied by selecting a filter corresponding to the feature closest to it. As a result of learning 100 T1 brain MRI images of HCP which is publicly opened, we showed that the performance improved by up to about 11% compared to the traditional interpolation method.

Study on the Reconstruction of Pressure Field in Sloshing Simulation Using Super-Resolution Convolutional Neural Network (심층학습 기반 초해상화 기법을 이용한 슬로싱 압력장 복원에 관한 연구)

  • Kim, Hyo Ju;Yang, Donghun;Park, Jung Yoon;Hwang, Myunggwon;Lee, Sang Bong
    • Journal of the Society of Naval Architects of Korea
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    • v.59 no.2
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    • pp.72-79
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    • 2022
  • Deep-learning-based Super-Resolution (SR) methods were evaluated to reconstruct pressure fields with a high resolution from low-resolution images taken from a coarse grid simulation. In addition to a canonical SRCNN(super-resolution convolutional neural network) model, two modified models from SRCNN, adding an activation function (ReLU or Sigmoid function) to the output layer, were considered in the present study. High resolution images obtained by three models were more vivid and reliable qualitatively, compared with a conventional super-resolution method of bicubic interpolation. A quantitative comparison of statistical similarity showed that SRCNN model with Sigmoid function achieved best performance with less dependency on original resolution of input images.

Matching Performance Analysis of Upsampled Satellite Image and GCP Chip for Establishing Automatic Precision Sensor Orientation for High-Resolution Satellite Images

  • Hyeon-Gyeong Choi;Sung-Joo Yoon;Sunghyeon Kim;Taejung Kim
    • Korean Journal of Remote Sensing
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    • v.40 no.1
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    • pp.103-114
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    • 2024
  • The escalating demands for high-resolution satellite imagery necessitate the dissemination of geospatial data with superior accuracy.Achieving precise positioning is imperative for mitigating geometric distortions inherent in high-resolution satellite imagery. However, maintaining sub-pixel level accuracy poses significant challenges within the current technological landscape. This research introduces an approach wherein upsampling is employed on both the satellite image and ground control points (GCPs) chip, facilitating the establishment of a high-resolution satellite image precision sensor orientation. The ensuing analysis entails a comprehensive comparison of matching performance. To evaluate the proposed methodology, the Compact Advanced Satellite 500-1 (CAS500-1), boasting a resolution of 0.5 m, serves as the high-resolution satellite image. Correspondingly, GCP chips with resolutions of 0.25 m and 0.5 m are utilized for the South Korean and North Korean regions, respectively. Results from the experiment reveal that concurrent upsampling of satellite imagery and GCP chips enhances matching performance by up to 50% in comparison to the original resolution. Furthermore, the position error only improved with 2x upsampling. However,with 3x upsampling, the position error tended to increase. This study affirms that meticulous upsampling of high-resolution satellite imagery and GCP chips can yield sub-pixel-level positioning accuracy, thereby advancing the state-of-the-art in the field.