• Proceedings of the Korea Information Processing Society Conference
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• 2000.10a
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• pp.687-690
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• 2000

특정 칼라 디바이스가 최대한 표현할 수 있는 색공간을 색역 (Color Gamut) 이라 한다. 색역폭 압축 알고리즘이란 색역폭이 큰 (예. CRT 모니터) 디바이스에서 표현되던 이미지 색들을 프린터와 같이 색역폭이 작은 디바이스에서 최대한 일치되는 색이 재현될 수 있도록 하는 알고리즘이다. 본 연구에서는 서로 다른 색역폭을 가진 이미지를 상호 비교함으로 관찰자 색역 압축 성향을 취합, 분석하는 도구를 개발 22 명의 관찰자로 하여금 실험을 수행하였다. 이 실험으로 도출된 관찰자 데이터를 기반 3 개의 새로운 색역폭 알고리즘을 개발하였다. 이 3 개 알고리즘은 기존 6개 알고리즘과 11 명의 관찰자를 이용 Pair comparison방법을 이용 성능평가, 1 개의 가장 우수한 알고리즘을 도출하였다. 또한 이 알고리즘이 어떠한 디바이스에서도 사용될 수 있도록 알고리즘의 일반화 (Algorithm Generalization)을 통하여 일반적으로 사용이 가능한 압축 알고리즘도 개발하였다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.6
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• pp.33-41
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• 2004

This paper proposes a color matching 3D look-up table simplifying the complex color matching procedure between a monitor and a mobile display device. In other to perform color matching, it is necessary to process color of image in the device independent color space like CIEXYZ or CIELAB. To obtain the data of the device independent color space from that of the device dependent RGB color space, we must perform display characterizations. LCD characterization error using S-curve model is larger than tolerance error since LCD is more nonlinear than CRT. This paper improves the S-curve model to have smaller characterization error than tolerance error using the electro-optical transfer functions of X, Y, and Z value. We obtained images having higher color fidelity on mobile display devices through color matching experiments between monitor and mobile display devices. As a result of this experiments, we concluded that the color matching look-up table with 64(4${\times}$4${\times}$4) is the smallest size allowing characterization error to be acceptable.

• Proceedings of the IEEK Conference
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• 2003.11a
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• pp.15-18
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• 2003

This paper proposes a color matching 3D look-up table simplifying the complex color matching procedure between a monitor and a mobile display device. In order to perform color matching, it is necessary to process color of image in the device independent color space like CIEXYZ or CIELAB. We improved the S-curve model to have smaller characterization error than tolerance error. Also, as a result of the experiments, we concluded that the color matching look-up table with 64(4$\times$4$\times$4) is the smallest size allowing characterization error to be acceptable.

• The KIPS Transactions:PartB
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• v.14B no.3 s.113
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• pp.145-152
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• 2007

In this paper, we propose an automatic extraction model for unknown translations and implement an unknown translation extraction system using the proposed model. The proposed model as a phrase-alignment model is incorporated with three models: a phrase-boundary model, a language model, and a translation model. Using the proposed model we implement the system for extracting unknown translations, which consists of three parts: construction of parallel corpora, alignment of Korean and English words, extraction of unknown translations. To evaluate the performance of the proposed system, we have established the reference corpus for extracting unknown translation, which comprises of 2,220 parallel sentences including about 1,500 unknown translations. Through several experiments, we have observed that the proposed model is very useful for extracting unknown translations. In the future, researches on objective evaluation and establishment of parallel corpora with good quality should be performed and studies on improving the performance of unknown translation extraction should be kept up.

• Smart Media Journal
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• v.13 no.3
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• pp.18-26
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• 2024

Road surface monitoring is essential for maintaining road environment safety through managing risk factors like rutting and crack detection. Using autonomous driving-based UGVs with high-performance 2D laser sensors enables more precise measurements. However, the increased energy consumption of these sensors is limited by constrained battery capacity. In this paper, we propose a fusion sensor system for efficient surface monitoring with UGVs. The proposed system combines color information from cameras and depth information from line laser sensors to accurately detect surface displacement. Furthermore, a dynamic sampling algorithm is applied to control the scanning frequency of line laser sensors based on the detection status of monitoring targets using camera sensors, reducing unnecessary energy consumption. A power consumption model of the fusion sensor system analyzes its energy efficiency considering various crack distributions and sensor characteristics in different mission environments. Performance analysis demonstrates that setting the power consumption of the line laser sensor to twice that of the saving state when in the active state increases power consumption efficiency by 13.3% compared to fixed sampling under the condition of λ=10, µ=10.

• Journal of Digital Contents Society
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• v.18 no.2
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• pp.403-410
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• 2017

In this paper, the fire extinguisher maintenance system using smart NFC communication and the real-time pressure measurement is proposed. The proposed system consists of three steps in the flow of information. The first step is to identify the fire extinguisher through NFC tagging in the fire extinguisher module using the smart device. The fire extinguisher appearance check and the real-time pressure measurement is performed in the second step, and the last step sends the check status information to the management server. In particular, the actual pressure value is calculated based on the angle of the green area and the indicating needle. Some experiments are conducted so as to verify the proposed system, and as a result, the proposed system shows that the administrator can effectively control the status information of fire safety check.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.10
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• pp.58-71
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• 1999

When the same image is displayed in many different devices, the reproduced colors are not same due to the differences in the gamut between devices. Therefore, many gamut mapping method were proposed to solve this problem. In this paper, color discrimination enhancement gamut mapping method using color distribution rearrangement is proposed to reduce the unnecessary distortions by compression mapping and to minimize the decrease of color discrimination by clipping method. The proposed method constructs color distribution, the 3-dimension array of input image's colors. if the maximum of color distribution is within the boundary of printer gamut. the colors are mapped to the same colors. Otherwise, out-of-gamut colors are compressed into the printer gamut with minimum distortion. Consequently, the printer output image was highly consistent with the corresponding monitor image and had an enhanced color discrimination in region where high chroma varied linearly.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.27 no.4
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• pp.225-231
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• 1991

In order to suggest the useful information on the fishing ground of the bigeye tuna Thunnus obesus(LOWE), a data base system was formed with catch data of the Korean tuna long liners during from 1975 to 1987 by using a set of 16 bits personal computer. This data base was constructed of the handling program and 4 types of data file processed from the monthly and yearly catch data of the whole tunas and the bigeye tuna. And when the system was started, the map of one among various Oceans such as the Pacific, the Atlantic and the Indian Ocean. is drawn on the monitor. And then the catch rates of the whole tunas or the catch ratios of bigeye tunas are indicated by the figured symbols and the colors on the sea divisions of 5$^{\circ}$ space of longitude and latitude respectively at the same time. Also this system has the preestimating program on the catch rates of the whole tunas and the bigeye tuna in the desired month and sea divisions. In the results than this data base system was handled and tested, very useful informations were obtained for the detection of tunas, especially bigeye tuna, and the preestimation was possible in a desired level.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.1
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• pp.38-50
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• 1999

Currently many devices reproduce electronic images in the various ways. However the color that is reproduced in any device is different from the original color due to the difference in the gamut between devices. In this paper, an image dependent gamut mapping method is proposed. This method clips the chroma with compensating for the change of lightness caused by the lightness scaling. The anchor point, which is the center point in the mapping, is set as a lower point by the proposed method than a point by the conventional mapping method. This reduces the color difference between point. In addition, to heighten the color contrast on the constant hue, the different two mapping methods are applied to the printer gamut which is divided in two region, bright region and dark region. Consequently, the printer output image was highly consistent with the corresponding monitor image.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.4
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• pp.58-66
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• 2012

Currently many devices reproduce electronic images in the various ways. However, the color that is reproduced in any device is different from the original color due to the differences in the gamut between devices. A recent trend in gamut mapping algorithms is the use of spatial information to compute the color transformation of pixels from the input to the output gamut. However, these techniques share the problem of preserving details, and avoiding halos, and hue shift. In this paper, spatial gamut mapping for preserving the details of the input image is proposed. Our approach improves visibility of detail that is not effectively represented with conventional spatial gamut mapping. In proposed method, initially, we gamut map the input image using gamut clipping and obtain a detail layer for both the input and the gamut mapped images. Next, we calculate the difference between the two detail layers, obtaining the details of the out of gamut region. Finally, we add the details of out of gamut region to the gamut mapped image. Since the resulting image has out of gamut colors, we obtain resulting image of proposed method by using a gamut clipping method. Consequently, the printed output image was more consistent with the corresponding monitor image.