• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.12C
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• pp.1004-1009
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• 2010

ost digital cameras use single sensor array with color filter array to reduce size and cost. However images taken by single sensor array have only one color component per pixel, to obtain a color image missing two color components need to be reconstructed. This reconstructing process is called as demosaicking. This paper propose a new directional demosaicking method and proposed method achieves better image quality with enhanced weighting function. With comparing objective and subjective performance, we show proposed method achieves better performance than the conventional methods.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.3
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• pp.398-403
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• 2006

In this paper, we describe a fuzzy threshold selection technique for feature extraction in digital color images. this is achieved by the formulation a fuzzy inference system that evaluates threshold for feature configurations. The system uses two fuzzy measures. They capture desirable characteristics of features such as dependency of local intensity and continuity in an image. We give a graphical description of a nonlinear sketch feature extraction filter and design the fuzzy inference system in terms of the characteristics of the feature. Through the design, we provide selection method on the choice of a threshold to achieve certain characteristics of the extracted features. Experimental results show the usefulness of our fuzzy threshold inference approach which is able to extract features without human intervention.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2012.11a
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• pp.25-28
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• 2012

본 논문에서는 키넥트(Kinect)에서 획득한 깊이 영상의 품질을 향상시키는 기법을 제안한다. 키넥트는 마이크로소프트사에서 출시한 카메라로 깊이 영상과 컬러 영상을 획득 할 수 있다. 하지만 적외선 패턴을 이용한 깊이 영상의 획득 방법의 한계로 인해 객체의 경계 주변으로 홀 및 잡음이 생긴다. 따라서 정확한 깊이 영상을 얻기 위해서는 깊이 영상의 품질 향상이 필수적이다. 일반적으로 깊이 영상의 홀을 채울 때, 인페인팅(inpainting) 또는 결합형 양방향 필터(joint bilateral filter) 등의 기법을 사용한다. 그러나 이러한 기법들의 경우 한 장의 영상만을 이용하기 때문에 객체 경계 주변의 흔들림 현상을 보정할 수 없다. 제안하는 기법에서는 먼저 수행속도가 빠른 가우시안 필터를 이용하여 경계 주변의 홀을 채운다. 이전 프레임의 컬러 영상을 그레이 영상으로 변환한 다음에 그레이 영상과 깊이 영상의 값의 변화를 분석하여 흔들림 화소를 찾아 이전 깊이 영상들 중 최대 화소 값으로 변환함으로써 깊이 영상의 경계 흔들림 현상을 줄일 수 있다. 실험을 통해 제안하는 기법이 기존의 방법들 보다 우수하다는 것을 확인하였다.

• Polymer(Korea)
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• v.31 no.5
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• pp.442-446
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• 2007

Alkali soluble and photo-curable polyesters were prepared from fluorene epoxy acrylate and various aromatic dianhydrides. To make a black matrix for LCD color-filter application, photo-resist solution was made by mixing synthesized polyester as binder, carbon black as pigment, initiator and multifunctional monomer in solvent. Black matrix pattern was formed on the glass substrate by lithography process. In this study, we synthesized various polyester-based binder polymers for LCD color-filter applications, and compared the analytical properties of those polymers and lithography patterns.

• Korean Journal of Optics and Photonics
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• v.30 no.3
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• pp.101-105
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• 2019

An LCD backlight unit (BLU) using RGB light sources is designed and simulated, in order to improve its optical energy efficiency. A color-matching BLU is designed with a lenticular lens array (LLA) with elements that image the linear RGB light sources onto the RGB subpixels of the color filter. Type-A and Type-B simulations are performed, according to the location of the light sources. As a result, the luminance increases to 210% in Type-A and 270% in Type-B respectively. The optimum values for the height and the gap of the LLA for maximum efficiency are found to be $25{\mu}m$ and $3{\mu}m$ respectively.

• Journal of the Korea Society of Computer and Information
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• v.6 no.2
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• pp.65-69
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• 2001

Edge detection is the most important process that belongs to the first step in image recognition or vision system and can determine the efficiency valuation. The edge detection with color images is very difficult. because color images have lots of information that contain not only general information representing shape, brightness and so on but also that representing colors. In this paper, we propose architecture of universalized Color Morphological Pyramids(CMP) which is able to give effective edge detection. Image pyramid architecture is a successive image sequence whose area ratio 2$\^$-1/(ι= 1, 2, . . . ,N) after filtering and subsampling of input image. In this technique, noise removed by sequential filtering and resolution is degraded by downsampling using CMP in various color spaces. After that, new level images are constructed that apply formula using distance of neighbor vectors in close level images and detection its image.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.9
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• pp.106-113
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• 2015

This paper integrates human visual system (HVS) characteristics into compressed sensing recovery of color images. The proposed visual weighting of each color channel in group-sparsity minimization not only pursues sparsity level of image but also reflects HVS characteristics well. Additionally, an edge-preserving filter is embedded in the scheme to remove noise while preserving edges of image so that quality of reconstructed image is further enhanced. Experimental results show that the average PSNR of the proposed method is 0.56 ~ 4dB higher than that of the state-of-the art group-sparsity minimization method. These results prove the excellence of the proposed method in both terms of objective and subjective qualities.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.9C
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• pp.555-563
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• 2011

In this paper, we propose an object based 2D image to 3D conversion algorithm by using motion estimation, color labeling and non-local mean filtering methods. In the proposed algorithm, we first extract the motion vector of each object by estimating the motion between frames and then segment a given image frame with color labeling method. Then, combining the results of motion estimation and color labeling, we extract object regions and assign an exact depth value to each object to generate the right image. While generating the right image, occlusion regions occur but they are effectively recovered by using non-local mean filter. Through the experimental results, it is shown that the proposed algorithm performs much better than conventional conversion scheme by removing the eye fatigue effectively.

• Polymer(Korea)
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• v.35 no.1
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• pp.87-93
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• 2011

We developed a fluorene-containing multifunctional binder polymer for LCD color filter resist, and employing the binder polymer, carbon black based black photoresist (CBR) was prepared in order to apply it to the black matrix (BM). To obtain the multifunction of the binder polymer, we synthesized bisphenol fluorene epoxy acrylate-containing unsaturated polyester and identified the binder polymer structure with $^1H$ NMR, GPC and FTIR. The corresponding BFEA-polyester binder polymer was compared with the commercially available acryl binder toward the application to the CBR. From the BM lithography test, we found that the synthesized BFEA-polyester binder had better photocrosslinking capability and alkali solubility. In addition, the newly developed binder gave a good process margin, good resolution and adhesion property on a glass substrate.

• Clean Technology
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• v.14 no.1
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• pp.21-28
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• 2008

The properties of the dispersion of the red, green, and blue pigments were investigated for the manufacture of the millbase of LCD color filters. Their physical properties and viscosity were controlled to apply to the screen printing in order to substitute the existing photolithography method. The best dispersion properties were obtained with dispersant BYK-2000 and monomer EB-140. The millbase was pre-mixed at 500 rpm for 30 min, and dispersed at 4000 rpm for 5 - 6 hour by Torus Mill. The resulting particle sizes were $100{\sim}110\;nm$ for red, $50{\sim}70\;nm$ for green, and $60{\sim}80\;nm$ for blue. When the millbase viscosity was 200-300 cps in the low viscosity formulation, an efficient impact of the beads on pigments was achieved. The dispersion properties were confirmed from the rheological behavior and color characteristics.