• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.07a
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• pp.192-195
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• 2011

본 논문에서는 JCT-VC(Joint Collaboration Team on Video Coding)에서 표준화가 진행 중인 HEVC(High Efficiency Video Coding)의 Test Model 인 HM1.0과 현재 디지털 방송, 통신, 저장 매체 등 다양한 응용 분야에 사용되고 있는 범용 비디오 코덱들 간의 객관적, 주관적 측면에서의 부호화 성능을 비교한다. 이를 통해 HEVC의 현재 성능 수준에 대한 평가 결과를 보이고, 활용 가능성에 대해 결론을 맺는다. 비교 대상 코덱으로는 H.264/AVC 표준의 S/W 기반인 VideoLAN Project의 x264와 MPEG-2 표준으로 Harmonic사의 H/W기반의 최신형 실시간 인코더인 Electra8000을 사용하였다. 총 5개의 HD(1920x1080)영상에 대한 객관적 성능 비교 결과, HM1.0이 x264 대비 평균 44.93%의 BD-rate 감소와 평균 1.65%의 BD-PSNR 증가를 보였고, Electra8000에 대해서도 월등히 높은 성능차를 보였다. 주관적 화질 비교 결과 동일 PSNR 조건하에서 HM1.0이 범용 비디오 코덱들보다 주관적 화질이 유사하거나 좀 더 나음을 보였다.

• Journal of radiological science and technology
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• v.46 no.3
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• pp.207-217
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• 2023

Image noise reduction algorithm performs important functions in light microscopy. This study aims to systematically review the research trend of types and performance evaluation methods of noise reduction algorithm in light microscopic images. A systematic literature search of three databases of publications from January 1985 to May 2020 was conducted; of the 139 publications reviewed, 16 were included in this study. For each research result, the subjects were categorized into four major frameworks-1. noise reduction method, 2. imaging technique, 3. imaging type, and 4. evaluation method-and analyzed. Since 2003, related studies have been conducted and published, and the number of papers has increased over the years and begun to decrease since 2016. The most commonly used method of noise reduction algorithm for light microscopy images was wavelet-transform-based technology, which was mostly applied in basic systems. In addition, research on the real experimental image was performed more actively than on the simulation condition, with the main case being to use the comparison parameter as an evaluation method. This systematic review is expected to be extremely useful in the future method of numerically analyzing the noise reduction efficiency of light microscopy images.

• Journal of Broadcast Engineering
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• v.9 no.2
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• pp.131-141
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• 2004

Current binocular stereoscopic displays cause visual discomfort when objects with large disparities are present in the scene. One solution for improving visual comfort is synthetic depth-of-field processing, which simulates the characteristics of a human visual system. With this technique, visual comfort is improved by blurring portions of the background and/or foreground in the scene. However, this technique has the drawback of degrading overall image quality because the blurring is typically applied to both left and right images. To alleviate the visual discomfort, we propose a novel disparity-based asymmetrical filtering technique. Proposed technique applies the filtering to the image of one eye only, and controls the blur level according to the disparity information between stereoscopic images. We investigate the effects of this technique on stereoscopic video by measuring visual comfort and apparent sharpness. Our results indicate that disparity-based asymmetrical filtering can improve visual comfort of stereoscopic video while it maintains apparent sharpness if unfixated regions with large disparities are blurred under the appropriate filtering condition.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.3
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• pp.585-590
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• 2012

Coronary Intervention treatment has become the core that is the test of cardiac catheterization to conduct treatment with Coronary Arteriography. Operators must be careful in Coronary Intervention treatment because the stent is inserted into the point of narrowing of blood vessel. So, the operator must correctly recognize the path of blood vessel to deal with the problems which are damages and ruptures of blood vessel, and there would be some errors of finding the path of blood vessel by bad qualify of the image. Therefore in this paper, median filtering is conducted by preprocessing to evaluate the performance of the effect of noise of the image that affects quality of the image and Fuzzy Edge Extraction Techniques is tested by using Soble Edge Extraction Techniques to compare the performance with The Fuzzy Edge Extraction Techniques. In result, the performance, removing the noise and extracting the signal of Fuzzy Edge Extraction Techniques using median filtering, demonstrates the superiority.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.7
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• pp.926-932
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• 2017

Image distortion can occur when photographing deep sea targets with an optical camera. This problem arises because sunlight is not sufficiently transmitted due to seawater and various floating particles of dust. Particularly, color distortion takes place, causing green and blue color channels to be over emphasized due to water depth, while distortion of boundaries also occurs due to light refraction by seawater and floating particles of dust. These distortions degrade the overall quality of underwater images. In this paper, we analyze underwater images of the bottom of vessels. Based on the results, we propose a technique for color correction and edge enhancement. Experimental results show that the proposed method increases edge clarity by 3.39 % compared to the effective edges of the original underwater image. In addition, a quantitative evaluation and subjective image quality evaluation were concurrently performed. As a result, it was confirmed that object boundaries became clear with color correction. The color correction and contour enhancement method proposed in this paper can be applied in various fields requiring underwater imaging in the future.

• Journal of radiological science and technology
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• v.32 no.2
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• pp.147-151
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• 2009

In general, the discrete confidence judgments that use five-step assessment method have been used to assess the medical images by ROC. TPF or FPF can be computed easily with this independent reading test. However, during experiments, it happens frequently that adequate distribution for observers is required to smoothly estimate the ROC curve. In addition, data becomes invalid for distribution of the created categories. To solve such problems or to apply the ROC interpretation to data that is not obtained from the experimental observation, the continuous confidence judgements (CCJ) has been proposed, which implements ROC interpretation using continuously-distributed experimental results without category classification has been used. As the use of CCJ to assess medical images was barely reported in Korea, we applied it to the assessment of chest digital images in this study. The results showed that a smooth ROC curve was obtained conveniently by the commercialized program and the characteristic value was measured easily. Therefore, it is recommended that this method can be applied to the assessment of digital medical images.

• Information and Communications Magazine
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• v.30 no.9
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• pp.49-57
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• 2013

네트워크 기술과 멀티미디어 압축 기술이 발달함에 따라 사용자들은 고화질의 멀티미디어 콘텐츠를 무선 환경에서도 끊김 없이 제공 받기를 원하고 있다. 또한, 스마트폰과 스마트패드와 같은 다양한 멀티미디어 장치가 일상생활에서 보편적으로 사용되면서 디바이스 간에 끊김 없는 미디어의 연동을 가능케 하는 N-스크린 서비스가 점차 확산되고 있다. 이러한 시장의 흐름에 발맞춰 JCT-VC (Joint Collaborative Team on Video Coding)는 차세대 동영상 압축 표준 기술인 HEVC (High Efficiency Video Coding)를 바탕으로 공간적 (Spatial), 화질적 (Temporal) 스케일러빌리티 (Scalability)를 제공하는 확장 표준인 SHVC (Scalable HEVC)를 표준화 중에 있다. JCT-VC는 SHVC 부호화 기술들을 평가하기 위하여 SCE (Scalable Core Experiment)를 진행하고 있으며, SHVC 표준은 2014년 6월에 표준화가 완료 될 것으로 예상된다. 본 고에서는 비디오 스케일 러빌리티의 기본 개념 및 SHVC 표준화 과정에서 제안된 주요부호화 기술들과 이슈들을 소개한다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.4
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• pp.38-48
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• 2011

Block based LCD backlight nonideality and crosstalk compensation methodologies are proposed based on the analysis of backlight profiles and image pixel homogeneity. Large computation complexity required in the conventional compensations is minimized without the degradation of image qualities by optimizing image block size, image area inside the block to be excluded from the compensation computation and the required backlight range to be computed. The optimization results of computation complexity as well as image qualities are verified for the proposed compensation by real image data simulations.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.385-387
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• 2006

본 논문에서는 Cubic Convolution 보간 알고리즘을 변형하여 연산량을 감소시키고 에지를 강조하는 보간 알고리즘을 제안한다. 제안된 알고리즘은 디지털 영상의 확대 또는 축소에 필요한 연산량을 줄이기 위해 두가지 방법을 사용하였다. 기존의 Cubic Convolution 알고리즘의 고차항의 가중치 연산을 일차원으로 변환하였다. 인접한 픽셀의 차이값을 사용하여 Bilinear 알고리즘을 제한적으로 적용하였다. 제안된 알고리즘의 화질 평가를 위해 원영상의 확대-후-축소와 축소-후-확대를 하여 RMSE를 사용하였고, 연산량을 평가하기 위해 픽셀별 곱셈기와 덧셈기를 기존의 알고리즘과 비교하였다. 시뮬레이션 결과 기존 Cubic Convolution 알고리즘보다 연산량이 감소하였다.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2732-2734
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• 2003

본 논문에서는 낮은 공간 해상도로의 디지털 비디오 변환 부호화기에 대한 움직임 벡터 추정 기법을 제안한다. 블록 정합 에러가 테일러 급수 전개에 의한 참조 블록의 복잡도에 비례한다는 사실에 근거하여 새로운 움직임 벡터 평가식을 유도하여 변환 부호화기에 대한 움직임 벡터를 이 평가식에 의해 추정한다. 제안한 방법에 의해 추정된 움직임 벡터들은 기존 방법에 의해 추정된 벡터보다 최적 벡터에 더 인접하였으며, 부호화된 영상은 더 좋은 화질을 보인다. 특히 빠른 움직임을 포함하는 영상에서 제안된 방법의 우수성은 더 두드러진다.