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A Method of Stereoscopic 3D Image Quality Assessment (스테레오스코픽 3D영상 화질 평가 방법)

  • Park, Young-Soo;Hur, Nam-Ho;Pyo, Kyung-Soo;Song, Chung-Kun
    • Journal of Broadcast Engineering
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    • v.16 no.2
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    • pp.319-330
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    • 2011
  • For objective assessment of stereoscopic 3D image quality, we measure quality of left and right image with 2D image quality measurement method. However, this method is inconvenient because that we have to measure quality of left and right image individually. Therefore we propose a method of stereoscopic 3D image quality assessment using one overlaid image with left and right image. Using this method, One can measure quality of stereoscopic 3D image more easily and quickly.

Analysis on Correlation Coefficient of Surface Image Velocimeter (SIV) Using On-site Runoff Image (현장유출영상을 활용한 표면영상유속계(SIV)의 상관계수 분석)

  • Kim, Yong-Seok;Yang, Sung-Kee;Kim, Dong-Su;Kim, Seojun
    • Journal of Environmental Science International
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    • v.24 no.4
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    • pp.403-414
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    • 2015
  • This study is daytime and nighttime runoff image data caused by heavy rain on May 27, 2013 at Oedo Water Treatment Plant of Oedo-Stream, Jeju to compute runoff by applying Surface image velocimeter (SIV) and analyzing correlation according to current. At the same time, current was comparatively analyzed using ADCP observation data and fixed electromagnetic surface current meter (Kalesto) observed at the runoff site. As a result of comparison on resolutions of daytime and nighttime runoff images collected, correlation coefficient corresponding to the range of 0.6~0.7 was 6.8% higher for nighttime runoff image compared to daytime runoff image. On the contrary, correlation coefficient corresponding to the range of 0.9~1.0 was 17% lower. This result implies that nighttime runoff image has lower image quality than daytime runoff image. In the process of computing current using SIV, a rational filtering process for correlation coefficient is needed according to images obtained.

Change Detection in Bitemporal Remote Sensing Images by using Feature Fusion and Fuzzy C-Means

  • Wang, Xin;Huang, Jing;Chu, Yanli;Shi, Aiye;Xu, Lizhong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.4
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    • pp.1714-1729
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    • 2018
  • Change detection of remote sensing images is a profound challenge in the field of remote sensing image analysis. This paper proposes a novel change detection method for bitemporal remote sensing images based on feature fusion and fuzzy c-means (FCM). Different from the state-of-the-art methods that mainly utilize a single image feature for difference image construction, the proposed method investigates the fusion of multiple image features for the task. The subsequent problem is regarded as the difference image classification problem, where a modified fuzzy c-means approach is proposed to analyze the difference image. The proposed method has been validated on real bitemporal remote sensing data sets. Experimental results confirmed the effectiveness of the proposed method.

Influence of Image Sticking on Electra-Optical Characteristics in Alternating-Current Plasma Display Panels

  • Choi, J.H.;Jung, Y.;Jung, K.B.;Kim, S.B.;Choi, E.H.
    • 한국정보디스플레이학회:학술대회논문집
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    • 2003.07a
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    • pp.760-763
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    • 2003
  • We have investigated the electro-optical characteristics of image sticking in AC PDP. Although Image sticking is one of major factors to determine display quality in AC PDP, so far, it has not being reported why it is occurred and how we can prevent it. In this experiment, we have analyzed the effect of MgO protective layer and phosphor on the image sticking and we have measured the difference of firing voltage, brightness and discharge current between sticking image and normal image in AC PDP. As a result, Phosphor degradation is a more major factor than MgO protective layer and the firing voltage of gas discharge in sticking image is higher than that of normal discharge.

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The development on a recognition system of assembly parts using a hardware independent image module (하드웨어에 독립적인 영상모듈을 이용한 부품인식 시스템의 구현)

  • Ha, Seung-Suk;Park, Sang-Bum;Lee, Boo-Hyung;Han, Young-Joon;Hahn, Hern-Soo
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.969-970
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    • 2006
  • This paper develops a recognition system of assembly parts using a hardware independent image module. Using a shared memory, the image module consists of the image acquiring process and the image processing process. We preprocess an acquisition image from the module, approximate the image edges to an ellipse, and then recognize an assembly part by matching the ellipse to a model base one.

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Experimental Observation of Temporal Dark Image Sticking in AC PDP with Face-to-Face Sustain Electrode Structure

  • Kim, Jae-Hyun;Park, Choon-Sang;Kim, Bo-Sung;Park, Ki-Hyung;Tae, Heung-Sik
    • 한국정보디스플레이학회:학술대회논문집
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    • 2007.08a
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    • pp.617-620
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    • 2007
  • The temporal dark image sticking phenomena for both the face-to-face and coplanar sustain electrode structures were compared. For both structures, the temporal dark image sticking phenomena were examined by measuring the difference in the IR emission, display luminance, perceived luminance, and temperature between the image sticking and the no image sticking cells. For the face-to-face structure, the 10-min sustain discharge causes a small increment of the panel temperature thanks to the ITO-less electrode structure, thereby resulting in mitigating the temporal dark image sticking phenomenon.

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Efficient Image Size Selection for MPEG Video-based Point Cloud Compression

  • Jia, Qiong;Lee, M.K.;Dong, Tianyu;Kim, Kyu Tae;Jang, Euee S.
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2022.06a
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    • pp.825-828
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    • 2022
  • In this paper, we propose an efficient image size selection method for video-based point cloud compression. The current MPEG video-based point cloud compression reference encoding process configures a threshold on the size of images while converting point cloud data into images. Because the converted image is compressed and restored by the legacy video codec, the size of the image is one of the main components in influencing the compression efficiency. If the image size can be made smaller than the image size determined by the threshold, compression efficiency can be improved. Here, we studied how to improve the compression efficiency by selecting the best-fit image size generated during video-based point cloud compression. Experimental results show that the proposed method can reduce the encoding time by 6 percent without loss of coding performance compared to the test model 15.0 version of video-based point cloud encoder.

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Multiple Shortfall Estimation Method for Image Resolution Enhancement (영상 해상도 개선을 위한 다중 부족분 추정 방법)

  • Kim, Won-Hee;Kim, Jong-Nam;Jeong, Shin-Il
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.3
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    • pp.105-111
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    • 2014
  • Image resolution enhancement is a technique to generate high-resolution image through improving resolution of low-resolution obtained image. It is important to estimate correctly missing pixel value in low-resolution obtained image for image resolution enhancement. In this paper, multiple shortfall estimation method for image resolution enhancement is proposed. The proposed method estimate separate multiple shortfall by predictive degradation-restoration processing in sub-images of obtained image, and generate result image combining the estimated shortfall and interpolated obtained-image. Lastly, final reconstruction image is generated by deblurring of the result image. The experimental results demonstrate that the proposed method has the best results of all compared methods in objective image quality index: PSNR, SSIM, and FSIM. The quality of reconstructed image is superior to all compared methods, and the proposed method has better lower computational complexity than compared methods. The proposed method can be useful for image resolution enhancement.

A Comfortable Imaging on Display

  • Kotera, Hiroaki
    • 한국정보디스플레이학회:학술대회논문집
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    • 2004.08a
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    • pp.436-439
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    • 2004
  • Most of past image processing systems have been designed independent of image contents. Now, evolving computation power is making the "image-dependent" elegant algorithms possible to get the better image renditions on display. This paper introduces our recent approaches to quality and pleasant imaging based on image-dependent. Three typical approaches to comfortable "Sharpness", "Lightness", and "Color" renditions on display image arc presented.

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Calibration of Fisheye Lens Images Using a Spiral Pattern and Compensation for Geometric Distortion (나선형 패턴을 사용한 어안렌즈 영상 교정 및 기하학적 왜곡 보정)

  • Kim, Seon-Yung;Yoon, In-Hye;Kim, Dong-Gyun;Paik, Joon-Ki
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.49 no.4
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    • pp.16-22
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    • 2012
  • In this paper, we present spiral pattern which suits for optical simulator to calibrate fisheye lens and compensate geometric distortion. Using spiral pattern, we present calibration without mathematical modeling in advance. Proposed spiral pattern used to input image of optical simulator. Using fisheye lens image, we calibrate a fisheye lens by matching geometrically moved dots to corresponding original dots which leads not to need mathematical modeling. Proposed algorithm calibrates using dot matching which matches spiral pattern image dot to distorted image dot. And this algorithm does not need modeling in advance so it is effective. Proposed algorithm is enabled at processing of pattern recognition which has to get the exact information using fisheye lens for digital zooming. And this makes possible at compensation of geometric distortion and calibration of fisheye lens image applying in various image processing.