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허준희(Heu Jun-Hee),현대영(Hyun Dye-Young),이상욱(Lee Sang-Uk) 한국방송·미디어공학회 2008 한국방송공학회 학술발표대회 논문집 Vol.2008 No.-
채색화는 흑백 영상에 색 정보를 추가하거나 영상의 색을 변환하는 영상 개선 기법이다. 본 연구는 최소한의 사용자 개입을 통해 흑백 영상을 자연스러운 칼라 (color) 영상으로 전환하는 채색화 기법을 제안한다. 우리는 우선 자연스러운 채색 결과를 위한 채색화 함수를 정의한다. 제안하는 채색화 함수는 유사한 밝기 정보를 가지는 이웃 픽셀들은 비슷한 색 정보를 가질 확률이 높다는 간단한 가정 하에 MRF (Markov Random Field)에 기반하여 모델링한다. 채색화 함수에 의해 색이 전체적으로 자연스럽게 분포될 수 있도록, 확산 신뢰도를 정의한 후 신뢰도에 따라 채색 순서를 결정한다. 이후, 채색 순서에 따라 각 픽셀에 채색화 함수를 적용하여 자연스러운 채색 결과를 도출한다. 실험 결과에서 보듯이, 제안 기법은 적은 색상 정보의 입력을 통해 효과적으로 채색화 하며, 기존 기법에 비해 자연스러운 결과를 제시한다.
Metabolic classification of herb plants by NMR-based metabolomics
Kim, Hee-Eun,Choi, Ye Hun,Choi, Kwang-Ho,Park, Ji Su,Kim, Hyeon Su,Jeon, Jun Hyeok,Heu, Min Soo,Shin, Dong-Seon,Lee, Joon-Hwa Korean Magnetic Resonance Society 2012 Journal of the Korean Magnetic Resonance Society Vol.16 No.2
Metabolomics is the systematic identification and quantification of all metabolites in an organism or biological sample. NMR has been used as a major application tool in plant metabolomics such as quality control, chemotaxonomy, and analysis of genetically modified plants. Herbal medicines are the important therapeutics and are used to manage common diseases such as cold, inflammation, pain, heart diseases, liver cirrhosis, diabetes and central nerve system diseases. Herb plants include various kinds of species such as geranium, mint, and thyme and so on and contain different kinds of metabolites. We performed NMR-based metabolomics study on the seven different species of herb plants using $^1H$ NMR experiments and OPLS-DA to understand the correlation between the classification of herb plants and their metabolite contents. This study showed clear metabolic discrimination among various herb plants. This metabolmics study found several diagnostic NMR signals which are able to be used as bio-markers for identification of the specific herb plants among various species. Clear metabolic discrimination of herb plants suggests three chemotaxonomic groups of herb species.
Fast Mode Decision for P-Frames in H.264
Liu Hai,Dongjin Kwon,Jun-Hee Heu,Chang-Su Kim,Sang-Uk Lee 대한전자공학회 2007 ITC-CSCC :International Technical Conference on Ci Vol.2007 No.7
We propose a fast mode decision algorithm for P-frames in the H.264 video coding standard. H.264 employs various encoding modes to achieve high compression gain, but its optimal mode decision for each macroblock (MB) is very demanding computationally. To reduce the complexity, we propose a fast inter mode decision scheme based on the detection of homogeneous motion regions. Moreover, the intra mode is also selectively considered. Experimental results demonstrate that the proposed algorithm reduces the complexity up to 75.43%, while maintaining the rate-distortion performance.