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학술의학(Academic Medicine)의 개념과 한국에서의 정착 가능성
한희철,Han, Hee Chul 연세대학교 의과대학 2019 의학교육논단 Vol.21 No.2
The purpose of this study was to introduce the concept of academic medicine to the medical societies of Korea and to identify any potential obstacles in the establishment of academic medicine in Korea. The core concepts of academic medicine include medical education, research, and patient care. Academic medicine can be practiced in the unique area of healthcare involving medical schools and teaching hospitals by faculty physicians in the academic medicine field. Through academic medicine, the next generation of healthcare professionals is trained, new discoveries can be made, and patients can find new hope for a cure. The flourishing of academic medicine has resulted in substantial advancements in medicine over the past few centuries, but at the turn of the 21st century, there was concern that academic medicine was on the decline. To address this concern, the International Campaign to Revitalize Academic Medicine was established and announced five scenarios to 2025 to debate the future of academic medicine. Although the system resembles that of Western medical societies, Korean medical societies were not familiar with academic medicine, and poor conditions caused by the distorted healthcare system in Korea have actually interfered with the nurturing of academic medicine. One of the main problems may include less interest in medical education and research relative to clinical practice by medical societies and the government. Collaborative efforts from both medical societies and the government are needed to establish academic medicine successfully in Korea for a better future.
JND와 경계 보호 평탄화 필터를 이용한 휘도 및 색상 복원
한희철(Heechul Han),손광훈(Kwanhoon Sohn) 大韓電子工學會 2009 電子工學會論文誌-SP (Signal processing) Vol.46 No.6
본 논문에서는 임의의 조명 상황에서 왜곡된 영상을 JND(Just noticeable difference)와 경계 보호 평탄화 필터(edge-preserving smoothing filter) 를 사용하여 자동적으로 휘도 및 색상을 복원 하는 기법을 제안한다. 제안된 방법은 최적의 휘도 보상, 선명한 색상 복원, 휘도 보상 시 발생되는 여러 가지 문제점의 최소화, 자동화된 매개변수 추정 그리고 하드웨어 구현을 위한 고속화 등을 목적으로 하고 있다. 이를 위하여 본 논문에서는 후광효과(HALO)나 노이즈 증폭 등의 눈에 거슬리는 결함을 제거하기 위하여 경계 보호 평탄화 필터의 효용성에 대해 보인다. 또한 제안된 색상 복원 함수는 인간시각에 근거해 자연스러운 색상의 복원과 왜곡된 색상의 보정을 수행한다. 자동화된 처리를 위하여 영상의 통계적 분석과 JND를 이용해 적합한 매개변수를 찾으며 모든 상수는 미리 정의되어 사용된다. 또한 터치스크린 카메라를 이용한 관심영역(ROI : Region of Interest) 기반 매개변수 추정기법을 사용하여 역광 사진 보정을 좀 더 효율적으로 수행한다. 객관적 평가를 위해 CMC, CIEde2000, PSNR, SSIM, 그리고 3D CIELAB 색역을 기존의 연구나 상업 제품들과 비교하였다. We present the framework for JND based Illumination and Color Restoration Using Edge-preserving filter for restoring distorted images taken under the arbitrary lighting conditions. The proposed method is effective for appropriate illumination compensation, vivid color restoration, artifacts suppression, automatic parameter estimation, and low computation cost for HW implementation. We show the efficiency of the mean shift filter and sigma filter for illumination compensation with small spread parameter while considering the processing time and removing the artifacts such as HALO and noise amplification. The suggested CRF (color restoration filter) can restore the natural color and correct color distortion artifact more perceptually compared with current solutions. For the automatic processing, the image statistics analysis finds suitable parameter using JND and all constants are pre-defined. We also introduce the ROI-based parameter estimation dealing with small shadow area against spacious well-exposed background in an image for the touch-screen camera. The object evaluation is performed by CMC, CIEde2000, PSNR, SSIM, and 3D CIELAB gamut with state-of-the-art research and existing commercial solutions.
3차원 카메라를 위한 거리 대비를 이용한 입체감 정보 표시 방법
한희철(Heechul Han),최양림(Yanglim Choi),조재문(Jaemoon Jo) 대한전자공학회 2010 대한전자공학회 학술대회 Vol.2010 No.6
By employing the depth contrast detection algorithm, the 3d perception information display method for the 3D camera is proposed in this paper. We apply the stereo matching algorithm to the pre-defined contrast detection focus points for the real time operation. The depth contrast is obtained from the depth differences and the estimated real distance between the clusters of the points. The proposed method provides the useful information while taking a 3D picture for having a better 3D perception.