• Title/Summary/Keyword: Image-development

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Implementation of Embedded System Based Simulator Controller Using Camera Motion Parameter Extractor (카메라 모션 벡터 추출기를 이용한 임베디드 기반 가상현실 시뮬레이터 제어기의 설계)

  • Lee Hee-Man;Park Sang-Jo
    • The Journal of the Korea Contents Association
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    • v.6 no.4
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    • pp.98-108
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    • 2006
  • In the past, the Image processing system is independently implemented and has a limit in its application to a degree of simple display. The scope of present image processing system is diversely extended in its application owing to the development of image processing IC chips. In this paper, we implement the image processing system operated independently without PC by converting analogue image signals into digital signals. In the proposed image processing system, we extract the motion parameters from analogue image signals and generate the virtual movement to Simulator and operate Simulator by extracting motion parameters.

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A Study on Image Restoration Filter in AWGN Environments (AWGN 환경에서 영상복원 필터에 관한 연구)

  • Xu, Long;Kim, Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.4
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    • pp.949-956
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    • 2014
  • Recently, with the development of hardware and software technology related with image information delivery, the demand for various multimedia service has increased. But, the process of treating, sending, and storing image signals generates image degradation by various external causes. The main cause of image degradation is noise. image is mostly damaged by AWGN (additive white Gaussian noise). Therefore, there have been active researches on noise elimination. This paper, to reduce the effects of AWGN added to the image, suggests a noise-eliminating algorithm which is excellent in low-frequency and high-frequency characteristics in space. And, this paper, through simulation techniques, compared the result of the suggested algorithm with those of the existing methods. And, to evaluate the performance of it, PSNR (peak signal to noise ratio) was used.

Development of Digital Image Acquisition Technique for Momentary Positioning of Dynamic Object (동체의 순간 위치결정을 위한 수치영상 획득기법 개발)

  • Han, Seung-Hee;Kang, Joon-Mook
    • Journal of Korean Society for Geospatial Information Science
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    • v.4 no.2 s.8
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    • pp.47-54
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    • 1996
  • It needs more than two images which are obtained in real time to decide 3D positioning of dynamic object. Though we use digital camera which is became wide utilization, but it can't obtain sequential image. So, in this study, we constructed momentary image acquisition system using video camera. Also, we took a photograph of LCD timer and dynamic object together for real time stereo image, and we obtained independent digital image from sequential image using video editor. As a result of the study, we could obtain the independent image as true color digital image of $788{\times}550$pixels with 1/100sec accuracy in the same time. And it was good when we tested object target. For comparing 3D positioning accuracy, we could obtained negative with metric camera using B-shutter.

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Generation of Simulated Geospatial Images from Global Elevation Model and SPOT Ortho-Image

  • Park, Wan Yong;Eo, Yang Dam
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.32 no.3
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    • pp.217-223
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    • 2014
  • With precise sensor position, attitude element, and imaging resolution, a simulated geospatial image can be generated. In this study, a satellite image is simulated using SPOT ortho-image and global elevation data, and the geometric similarity between original and simulated images is analyzed. Using a SPOT panchromatic image and high-density elevation data from a 1/5K digital topographic map data an ortho-image with 10-meter resolution was produced. The simulated image was then generated by exterior orientation parameters and global elevation data (SRTM1, GDEM2). Experimental results showed that (1) the agreement of the image simulation between pixel location from the SRTM1/GDEM2 and high-resolution elevation data is above 99% within one pixel; (2) SRTM1 is closer than GDEM2 to high-resolution elevation data; (3) the location of error occurrence is caused by the elevation difference of topographical objects between high-density elevation data generated from the Digital Terrain Model (DTM) and Digital Surface Model (DSM)-based global elevation data. Error occurrences were typically found at river boundaries, in urban areas, and in forests. In conclusion, this study showed that global elevation data are of practical use in generating simulated images with 10-meter resolution.

Empirical Study on Management Strategy about Improving Corporate Image (기업이미지 제고 관리 전략에 대한 실증적 연구)

  • Ku, Kyoung-Young;Kim, Cheong-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.3
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    • pp.193-201
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    • 2012
  • For the competition of current corporations, the necessity of image-making strategy differentiating themselves from others are more highlighted than simple technology development or previous sales technique. Thus the corporations need more advanced management measures of corporate image to secure new capabilities. This study figured out previous studies on corporate image, deduced factors to be considered for improving continuous corporate image, analyzed structural relationships among them, and suggested political implications through systematic management strategy about improving corporate image that current corporations need.

Image Enhancement using Intensity Deviation of Boundary Regions (경계 영역의 밝기 편차를 이용한 영상의 화질 향상 기법)

  • Hwang, Jae-Min;Kwon, Oh-Seol
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.12
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    • pp.140-149
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    • 2014
  • Image enhancement has become an important area of study with the recent development of hi-fidelity devices, such as UHD displays. While conventional methods are able to enhance the image contrast and detail, this sometimes results in contrast reversion in boundary region. Therefore, this paper proposes the use of multi-layers and intensity deviation in boundary areas to enhance the perceived image quality. First, the image contrast of individual blocks is enhanced using multi-layers with different sizes. After calculating the block boundaries, weights are then determined based on the intensity deviation and used to enhance the image detail. Experiments with several test images confirm that the proposed algorithm is superior that image contrast and detail to conventional methods.

Heterogeneous Computation on Mobile Processor for Real-time Signal Processing and Visualization of Optical Coherence Tomography Images

  • Aum, Jaehong;Kim, Ji-hyun;Dong, Sunghee;Jeong, Jichai
    • Current Optics and Photonics
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    • v.2 no.5
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    • pp.453-459
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    • 2018
  • We have developed a high-performance signal-processing and image-rendering heterogeneous computation system for optical coherence tomography (OCT) on mobile processor. In this paper, we reveal it by demonstrating real-time OCT image processing using a Snapdragon 800 mobile processor, with the introduction of a heterogeneous image visualization architecture (HIVA) to accelerate the signal-processing and image-visualization procedures. HIVA has been designed to maximize the computational performances of a mobile processor by using a native language compiler, which targets mobile processor, to directly access mobile-processor computing resources and the open computing language (OpenCL) for heterogeneous computation. The developed mobile image processing platform requires only 25 ms to produce an OCT image from $512{\times}1024$ OCT data. This is 617 times faster than the naïve approach without HIVA, which requires more than 15 s. The developed platform can produce 40 OCT images per second, to facilitate real-time mobile OCT image visualization. We believe this study would facilitate the development of portable diagnostic image visualization with medical imaging modality, which requires computationally expensive procedures, using a mobile processor.

Deep Learning in MR Image Processing

  • Lee, Doohee;Lee, Jingu;Ko, Jingyu;Yoon, Jaeyeon;Ryu, Kanghyun;Nam, Yoonho
    • Investigative Magnetic Resonance Imaging
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    • v.23 no.2
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    • pp.81-99
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    • 2019
  • Recently, deep learning methods have shown great potential in various tasks that involve handling large amounts of digital data. In the field of MR imaging research, deep learning methods are also rapidly being applied in a wide range of areas to complement or replace traditional model-based methods. Deep learning methods have shown remarkable improvements in several MR image processing areas such as image reconstruction, image quality improvement, parameter mapping, image contrast conversion, and image segmentation. With the current rapid development of deep learning technologies, the importance of the role of deep learning in MR imaging research appears to be growing. In this article, we introduce the basic concepts of deep learning and review recent studies on various MR image processing applications.

Comparison of Image Duplication Detection Using the Polar Coordinates System and Histogram of Oriented Gradients Methods

  • Gunadi, Kartika;Adipranata, Rudy;Suryajaya, Ivan
    • Journal of information and communication convergence engineering
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    • v.17 no.1
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    • pp.67-73
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    • 2019
  • In the current era of digital technology, and with the help of existing software, digital photo manipulation is becoming easier and faster. One example of this is the development of powerful image processing software that makes it easy for a digital image to be manipulated and edited. It is therefore very important to protect and maintain public trust in digital images. Several methods have been developed to detect image manipulation. In this paper, we compare two methods for detecting image duplication due to copy-move actions, namely the polar coordinate system and the histogram of oriented gradients methods. The former is a method based on the transfer of a Cartesian image to a polar form, making it easy to tell whether there are objects that have undergone a copy/move in an image, while the latter is a method for retrieving information related to the distribution, which uses a target in the local area as a tool to represent the shape of the target. We compare the accuracy, speed and memory usage of these two methods.

The Evaluation Model of Aggregate Distribution for Lightweight Concrete Using Image Analysis Method (이미지 분석을 이용한 경량골재 콘크리트의 골재분포 판정기법 개발)

  • Ji, Suk-Won
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.34 no.10
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    • pp.11-18
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    • 2018
  • In this study, the cross-sectional image has been acquired to evaluate the aggregate distribution affecting quality of lightweight aggregate concrete, and through the binarization method, the study is to calculate the aggregate area of upper and lower sections to develop the method to assess the aggregate distribution of concrete. The acquisition of cross-section image of concrete for the above was available from the cross-sectional photography of cleavage tension of a normal test specimen, and an easily accessible and convenient image analysis software was used for image analysis. As a result, through such image analyses, the proportion of aggregate distribution of upper and lower sections of the test specien could be calculated, and the proportion of aggregate area U/L value of the upper and lower regions of concrete cross-section was calculated, revealing that it could be used as the comprehensive index of aggregate distribution. Moreover, through such method, relatively easy image acquisition methods and analytic methods have been proposed, and this indicated that the development of modeling to assess aggregate distribution quantitatively is available. Based on these methods, it is expected that the extraction of fundamental data to reconsider the connectivity with processes in concrete will be available through quality assessment of quantitative concrete.