• Journal of Broadcast Engineering
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• v.22 no.2
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• pp.207-213
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• 2017

In order to accurately perform multispectral imaging using a multiplexed illumination, intensity of illumination in a scene must be uniform. For image acquisition that requires accurate color information, even if not multispectral imaging, the illumination information must be accurate, and a flat light source or illumination calibration is performed for accurate illumination characteristics. In this paper, we propose a method of color correction to uniformly illuminate an image with non-uniform illumination intensity. The proposed method uses multispectral imaging instead of illumination calibration for color correction. First of all, we perform multispectral imaging with two images obtained from non-uniformity illumination to acquire spectral reflectance. The obtained reflection spectrum is relit as the illumination characteristic of the image obtained from general planar light such as fluorescent light or sunlight. By comparing the image obtained by relighting with the uniformly illuminated image, the non-uniformity of the illumination is confirmed, and the color correction is performed as the image obtained from the uniform image. It is expected that the experimental results will confirm whether the non-uniformity of the illumination is uniformly corrected and reduce the restriction of illumination in obtaining the color information of the image.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.33-36
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• 2012

Mobile 기술이 발달되면서 사용자의 요구도 많이 늘어나고 있는 추세이다. 그 중 기존 TFT LCD와는 다른 AMOLED가 각광을 받고 있는 상태이며 AMOLED의 여러 가지 장점으로 인해 Mobile 환경에서 많이 사용하고 있다. 하지만 AMOLED는 색상 에 따라 전류 소모가 차이가 나며 이에 따라 S/W 적으로 밝기에 대해 Battery 보상 알고리즘을 적용할 수 없다. 즉 S/W 적으로 현재 화면의 색상을 판단할 수가 없는 상황이며 이로 인해 AMOLED LCD를 사용하는 모든 Mobile Device는 Battery Gauge을 위해 전용 Gauge IC Chip을 사용할 수 밖에 없는 실정이며 이로 인해 제품 비용 및 실장에 어려움이 생기고 있다. 일반적으로 대부분의 Mobile CPU는 내부에 ADC Controller를 내장하고 있으며 AMOLED를 사용할 경우 내부의 ADC Controller를 사용할 수 가 없게 된다. 본 논문은 AMOLED의 색상에 따른 보상 알고리즘을 S/W 적으로 LCD Framebuffer Law Data를 이용하여 색상 보정을 함으로써 Mobile 환경에 좀 더 알맞은 AMOLED를 적용하기 위해 작성이 되었다.

• The Transactions of the Korea Information Processing Society
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• v.4 no.9
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• pp.2197-2207
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• 1997

In this paper, we propose a video data segmentation method using edge and color distribution of video frames and also develop a video browser by using the proposed algorithm. To segment a video, we use a 644-bin HSV color histogram and the edge information which generated with automatic threshold method. We consider scene's characteristics by using positions and colo distributions of object in each frame. We develop a hierarchical and a shot-based browser for video browsing. We also show that our proposed method is less sensitive to light effects and more robust to motion effects than previous ones like a histogram-based method by testing with various video data.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2015.11a
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• pp.239-239
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• 2015

삼성, LG전자 등 다양한 사업부의 White Anodizing구현기술의 Need는 항상 존재하고 있으며, 특히 White와 Black Color의 콤비네이션으로 친환경 이미지 강조 및 핸드폰의 고급화에 필연적인 메탈화로 작년부터 White Anodizing의 수요요청이 쇄도하고 있다. 그러나 현행 공업용 Anodizing 기술(황산법)은 봉공처리 전 착색공정에서 Red, Blue, Black 등 염료분자와 달리 염료 분자가 비교적 큰 White 염료는 Anodizing으로 성장된 다공성피막 내부로 들어가지 못해 국내 Anodizing전문기업 뿐만아니라 일본 기업 및 연구소 등에서도 무수한 시도를 하고 있지만 현재까지는 완벽한 White Anodizing구현기술이 전무한 상태이다. 이에 당사는 알루미늄합금을 White의 안료나 염료가 아닌 알칼리전해액의 Pulse전류인가 PEO(Plasma electrolytic oxidation)처리 공정에 의거 White Anodizing기술을 개발하고자 하였다. 알칼리 전해질에 의한 Anodizing 처리기술로 White와 유사한 색상을 구현하고 있으나, 수요자가 요구하는 White Anodizing으로 제품을 양산하는데 어려움이 있어 기존 Anodizing 처리 대신 Pulse전류인가 PEO처리기술로 White Color를 구현하여 수요요청이 쇄도한 국내외 기업체에 공급하고자 한다. 본 기술은 알카리 전해액을 사용하므로 친환경적이며, 다공성 피막으로 인한 우수한 도장 밀착성, 실링처리에 의한 내식성 향상, PEO 피막의 우수한 경도 및 내마모성 등을 나타내며, 알루미늄뿐만 아니라 마그네슘합금, 티타늄 등에도 공히 적용이 가능하며, White Anodizing의 특화된 기술로 표면처리기술 우위 선점 및 원가절감 등이 가능하다. 당사는 알루미늄 아노다이징 전문 기업으로서 내식성 목적의 연질 아노다이징 처리 및 고내마모성을 목적으로 하는 자동차 부품 및 기계 부품용 경질 아노다이징 처리를 주로 수행하고 있다. 본 발표에서는 당사의 표면처리 기술 및 알루미늄의 아노다이징에 대한 소개를 하고자 한다.

• Conservation Science in Museum
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• v.29
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• pp.111-132
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• 2023

Terahertz radiation cannot pass through metal and therefore reflect and return most signals. Utilizing this property, this study analyzed information on paintings to verify the usage of metal materials on paintings and the scope of their application. First, the study tested specimens of metal-based pigments and synthetic pearl pigments with metallic colors and textures in order to compare basic characteristics of terahertz images, such as signal severance caused by metallic substances, traits reflected in cross-section images, and high degree of reflection. Subsequently, based on the collected information, the study diagnosed various types of paintings including Korean traditional paintings and oil paintings using the terahertz imaging technique to confirm the usage of metal-based pigments in the inner layers of paintings and their scope of application. The terahertz imaging technique could has the potential to provide scientific evidence for previously-undiscovered information and art-historical records about various types of paintings that used metalbased pigments, thereby rendering significant utility for the conservation and authentication of paintings.

• Journal of Korea Game Society
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• v.20 no.6
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• pp.53-62
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• 2020

This paper proposes on the implementation method of depth of field effect based on backward mapping method available in real-time rendering enviroment using calculation of sampling range based on standard normal distribution and alpha blending of color of layers. To implement the effect, this paper describe how to calculate radius of circle of confusion, establish sampling radius using circle of confusion, and determine color through alpha blending of the multiple layer and denoising.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.1
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• pp.71-79
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• 2011

The objective of the imaging pipeline is to transform the original scene into a display image that appear similar, Generally, gamma adjustment or histogram-based method is modified to improve the contrast and detail. However, this is insufficient as the intensity and the chromaticity of illumination vary with geometric position. Thus, MSR (Multi-Scale Retinex) has been proposed. the MSR is based on a channel-independent logarithm, and it is dependent on the scale of the Gaussian filter, which varies according to input image. Therefore, after correcting the color, image quality degradations, such as halo, graying-out, and dominated color, may occur. Accordingly, this paper presents a novel color correction method using a modified image formation model in which the image is divided into three components such as global illumination, local illumination, and reflectance. The global illumination is obtained through Gaussian filtering of the original image, and the local illumination is estimated by using JND-based adaptive filter. Thereafter, the reflectance is estimated by dividing the original image by the estimated global and the local illumination to remove the influence of the illumination effects. The output image is obtained based on sRGB color representation. The experiment results show that the proposed method yields better performance of color correction over the conventional methods.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.9
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• pp.129-138
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• 2014

Various interpolations for digital imaging devices with a single image sensor have proposed. However, conventional methods did not consider the resolution modus of image sensor using periodic sampling. Therefore, the resulting images have problems such as quality degradation and color artifacts(color moire, zipper). In this paper, we propose a color interpolation algorithm for pixel resolution modus of image sensor. The proposed algorithm consisted of an initial step to compensate edge prediction effectively and refinement step using minimum directions for pixel resolution modus. To analyze a result of the proposed algorithm with conventional methods, we evaluated subjectively using images quality comparison and objectively using PSNR(Peak Signal to Noise Ratio). Experimental results showed that the proposed algorithm was more successful in eliminating the color artifacts than conventional methods judged by both objective and subjective criteria.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.11
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• pp.2555-2562
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• 2010

In this paper, we propose the method that extracts sea level measurements graph from the sea level measurements recording paper image with a little interaction. At first, a pixel that is included in the graph area is selected. Then, background pixels are automatically determined using the distance between a selected pixel and other pixels on LAB color space. In each vertical line, a pixel that is the nearest to the selected pixel on LAB color space is extracted and the graph area is determined using that pixels. Experimental results show that the sea level measurements graph can be extracted with a few interaction from the various sea level measurements recording paper images.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.1
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• pp.175-182
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• 2013

The digitalization of sea level measurement recording which is recorded as analog type is useful for many related oceanology. In this paper, we propose a method which separates the graph area from a sea level measurement recording image. At first, a pixel that is regarded as the pixel which is included in the graph area is selected. Then, many background pixels are separated using the color of the selected pixel. In each vertical line, a pixel is determined as the pixel within the graph area and the graph area is separated from the image using that pixels. Experimental results show that the proposed method in this paper overcome drawbacks of the previous research and can separate the graph area which similar to the graph area of the original image.