• 한국작물학회:학술대회논문집
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• 한국작물학회 2002년도 춘계 학술대회지
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• pp.48-50
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• 2002

A strategy for development of a functional rice in proved with human lactoferrin and enhancement of nutrient compounds was planned. For the purposes we have cloned and characterized a human lactoferrin cDNA from human mammary gland cDNA library A endosperm storage vacuole targeting sequence and the cDNA fragment was linked to endosperm specific glutelin promoter. The fusion gene fragment was inserted into a binary vector containing MAR gene. In addition a new ${\beta}$-galactosidase gene from Bifidobacterium of human was used as a reporter gene in the vector system, Rice plants showing a high concentration of amino acids in the endosperm cells were developed by using a biochemical mutation and bred for the transformation with the binary vector system Finally we have established a transformation method for the rice endosperm cells.

• 한국가정과학회:학술대회논문집
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• 한국가정과학회 2004년도 학술대회
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• pp.87-87
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• 2004

• 한국콘텐츠학회논문지
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• 제5권3호
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• pp.123-131
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• 2005

디지털 해프토닝 방법 중 오차 확산 해프토닝은 다른 해프토닝 방법에 비해 우수한 화질을 보이지만 에지가 흐려지는 단점이 있다. 이러한 단점을 개선하기 위해, 본 논문은 인간의 공간 지각 특성을 이용하여 에지를 강조하는 개선된 오차 확산 해프토닝 방법을 제안한다. 제안한 방법은 인간의 눈이 한 화소의 명암 값이 아니라 국부 평균을 인식한다는 것과 공간적 변화량을 인간이 인식하는 정도를 이용하여 에지 강조 정보량(IEE : information of edge enhancement)을 구한다. 이 값을 양자화기 입력에 더하여 해프톤 영상의 에지를 강조한다. 이때 컬러 성분간의 상관관계를 고려하여 오차 확산 필터의 계수가 적응적으로 변화하는 방법을 적용한다. 컴퓨터 시뮬레이션 결과는 제안한 방법이 기존의 방법에 비해 영상의 에지가 강조되어 시각적으로 선명한 영상을 생성함을 보여주며 에지를 자연스럽게 표현하고 컬러 임펄스나 거짓 등고선과 같은 단점도 줄여줌을 보여준다.

• 사물인터넷융복합논문지
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• 제10권2호
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• pp.51-60
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• 2024

저조도 환경에서 영상 이미지의 콘트라스트가 낮고 식별이 어려운 문제를 목표로 사람의 시각 감지 기반의 콘트라스트 적응 보상 증진 알고리즘을 제안한다. 첫째, 저조도 환경에서 평균 밝기, 평균 대역폭 요인의 영상 이미지 특징 요인을 추출하고, 원본 영상의 회색/색도 차이에 따라 사람의 시각적 콘트라스트 해상도 보상의 수학적 모델을 설정하며, 실제 컬러의 3원색에 대해 각각 비례 적분하여 보상한다. 다음으로 보상 정도가 명시각 차이를 적절하게 구별할 수 있는 것보다 낮을 때 보상 임계값 선형 보상이 명시각에서 전체 대역폭으로 설정된다. 마지막으로 주관적인 이미지 품질 평가와 이미지 특성 요인을 결합하여 비례 계수를 보상하는 자동 최적화 모델을 구축한다. 실험 테스트 결과는 영상 이미지 적응 증진 알고리즘이 우수한 증진 효과와 우수한 실시간 성능을 가지며 다크 비전 정보를 효과적으로 마이닝할 수 있으며 다양한 시나리오에서 널리 사용될 수 있음을 보여준다.

• 디지털산업정보학회논문지
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• 제15권1호
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• pp.99-107
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• 2019

Retinex-based image enhancement is a technique that utilizes the property that the human visual characteristics are sensitive to the difference from the surrounding pixel value rather than the pixel value itself. These Retinex-based algorithms show different characteristics of the improved image depending on the applied color space or gamma correction. In this paper, we set eight different experimental conditions according to the application of color space and gamma correction, and analyze the objective and subjective performance of each Retinex based image enhancement algorithm and apply it to the implementation of Retinex based algorithm. In the case of gamma correction, quantitative low entropy images and low contrast images are obtained. The application of Retinex technique in HSI color space rather than RGB color space is found to be high in overall subjective image quality as well as maintaining color.

• 복식문화연구
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• 제21권3호
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• pp.361-375
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• 2013

This study investigates the effects of sociocultural influences of appearance(parental influence, media influence, peer influence) on body dissatisfaction and appearance enhancement behaviors(clothing selection, skin care, make-up, hair care, weight management). For data collection, a questionnaire was administrated to 562 female college students in Gwangju, Chonnam area and Chonbuk area, Korea, from May 23 to June 10, 2011. To analysis the data, descriptive statistical analysis, factor analysis, regression analysis, and path analysis were conducted. The results were as follows. First, the overall effects of sociocultural influences of appearance on body enhancement behavior turned out to have positive effects. Second, overall sociocultural influences of appearance had positive effects on body dissatisfaction. Third, the overall effects of body dissatisfaction on appearance enhancement behavior did not appear to be statistically significant. Forth, the effects that sociocultural influences of appearance on appearance enhancement behavior mediated body dissatisfaction appeared to be insignificant.

• Journal of Information Processing Systems
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• 제18권4호
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• pp.575-586
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• 2022

Uneven light in real-world causes visual degradation for underexposed regions. For these regions, insufficient consideration during enhancement procedure will result in over-/under-exposure, loss of details and color distortion. Confronting such challenges, an unsupervised low-light image enhancement network is proposed in this paper based on the guidance of the unpaired low-/normal-light images. The key components in our network include super-resolution module (SRM), a GAN-based low-light image enhancement network (LLIEN), and denoising-scaling module (DSM). The SRM improves the resolution of the low-light input images before illumination enhancement. Such design philosophy improves the effectiveness of texture details preservation by operating in high-resolution space. Subsequently, local lightness attention module in LLIEN effectively distinguishes unevenly illuminated areas and puts emphasis on low-light areas, ensuring the spatial consistency of illumination for locally underexposed images. Then, multiple discriminators, i.e., global discriminator, local region discriminator, and color discriminator performs assessment from different perspectives to avoid over-/under-exposure and color distortion, which guides the network to generate images that in line with human aesthetic perception. Finally, the DSM performs noise removal and obtains high-quality enhanced images. Both qualitative and quantitative experiments demonstrate that our approach achieves favorable results, which indicates its superior capacity on illumination and texture details restoration.

• 한국멀티미디어학회논문지
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• 제19권5호
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• pp.837-847
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• 2016

Tone mapping for High Dynamic Range(HDR) image provides matching human visual perception between real world scene and displayable devices. Recently, a tone mapping algorithm based on localized gamma correction is proposed. This algorithm is using human visual properties of contrast and colorfulness with background intensity, generating a weight map for gamma correction. However, this method have limitations of controlling enhancement region as well as generating halo artifacts caused by the weight map construction. To overcome aforementioned limitations, proposed algorithm in this paper modifies previous weight map, considering base layer intensity of input luminance channel. By determining enhancement region locally and globally based on base layer intensity, gamma values are corrected accordingly. Therefore, proposed algorithm selectively enhances local brightness and controls strength of edges. Subjective evaluation using z-score shows that our proposed algorithm outperforms the conventional methods.

• 대한의생명과학회지
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• 제26권4호
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• pp.256-266
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• 2020

Carboxypeptidase D (CPD) is a zinc-dependent protease, which is highly expressed in macrophages, and is thought to participate in inflammatory processes. In the present study, we investigated the possible regulatory effect of all-trans retinoic acid (ATRA), which is an active form of vitamin A and plays a critical regulatory role in both the innate and adaptive immunity, on CPD expression and secretion in human monocytic THP-1 cells. CPD mRNA expression first increased, from a concentration as low as 10 nM ATRA to a maximum level of expression, at 1 μM. ATRA enhanced intracellular CPD expression in a time- and concentration-dependent manner but did not affect cell surface CPD expression. Interestingly, 9-cis-RA did not affect CPD expression. Additionally, an experiment with RAR/RXR selective agonist or antagonists demonstrated that ATRA-induced enhancement of CPD expression was RAR/RXR dependent. ATRA also enhanced CPD secretion from THP-1 cells; however, this enhancement was RAR/RXR-independent. The anti-inflammatory agent dexamethasone reversed ATRA-induced enhancement of CPD expression and secretion. Our results suggest ATRA exerts regulatory effects on expression and secretion of CPD in human monocytes, and ATRA-induced CPD secretion may be associated with inflammatory response.

• 한국지능시스템학회논문지
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• 제15권5호
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• pp.632-638
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• 2005

This paper describes a new data-handing, based on a Spatial Human Interface as human indicator, to the Spatial-Knowledge-Tags (SKT) in the spatial memory the Spatial Human Interface (SHI) is a new system that enables us to facilitate human activity in a working environment. The SHI stores human activity data as knowledge and activity history of human into the Spatial Memory in a working environment as three-dimensional space where one acts, and loads them with the Spatial-Knowledge-Tags(SKT) by supporting the enhancement of human activity. To realize this, the purpose of SHI is to construct new relationship among human and distributed networks computers and sensors that is based on intuitive and simultaneous interactions. In this paper, the specified functions of SKT and the realization method of SKT are explained. The utility of SKT is demonstrated in designing a robot motion control.