• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.1
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• pp.17-25
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• 2007

In most electronic imaging applications, image with high resolution(HR) are desired. HR means that pixel density within an image is high, and therefore HR image can offer more details that may be critical in various applications. Digital images that are captured by CCD and CMOS cameras usually have a very low resolution, which significantly limits the performance of image recognition systems. Image super-resolution techniques can be applied to overcome the limits of these imaging systems. Super-resolution techniques have been proposed to increase the resolution by combining information from multiple images. To techniques were consisted of the registration algorithm for estimation and shift, the nearest neighbor interpolation using weight of acquired frames and presented frames. In this paper, it is proposed the image interpolation techniques using the wavelet base function. This is applied to embody a correct edge image and natural image when expend part of the still image by applying the wavelet base function coefficient to the conventional Super-Resolution interpolation method. And the proposal algorithm in this paper is confirmed to improve the image applying the nearest neighbor interpolation algorithm, bilinear interpolation algorithm.,bicubic interpolation algorithm through the computer simulation.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.455-462
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• 2006

본 논문에서는 저가의 보급형 프로젝터를 사용하고 Programmable GPU 기법중 Pixel Shader 기술을 이용하여 에지블렌딩을 수행하였으며, $7{\times}4$ 개의 프로젝터로 구성된 $6592{\times}2784$ 픽셀의 초고해상도를 가지는 $5.6m{\times}2.4m$ 의 대형 타일드 디스플레이를 구축해 보았다. 또한 타일드 디스플레이용 응용프로그램으로서 타일드 디스플레이 시스템을 마치 하나의 컴퓨터처럼 작동시킬 수 있는 타일드 디스플레이 관리 프로그램을 개발했으며, 이 프로그램은 컴퓨터와 프로젝터 제어, 응용프로그램 실행 및 종료를 담당한다. 그 외에도 일반 컴퓨터에서는 실행이 불가능한 초고해상도의 이미지 및 동영상까지도 볼 수 있는 이미지 뷰어와 동영상 플레이어를 개발하였다. 또한 100 만 폴리곤 이상의 3D 모델을 실시간으로 인터렉션 할 수 있는 3D 뷰어 등을 개발 하였다.

• Journal of the Korea Society of Computer and Information
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• v.22 no.4
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• pp.33-39
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• 2017

In this paper, we expand the process of classification to an ensemble of fuzzy decision tree. For indoor space recognition, many research use Boosted Tree, consists of Adaboost and decision tree. The Boosted Tree extracts an optimal decision tree in stages. On each stage, Boosted Tree extracts the good decision tree by minimizing the weighted error of classification. This decision tree performs a hard decision. In most case, hard decision offer some error when they classify nearby a dividing point. Therefore, We suggest an ensemble of fuzzy decision tree, which offer some flexibility to the Boosted Tree algorithm as well as a high performance. In experimental results, we evaluate that the accuracy of suggested methods improved about 13% than the traditional one.

• 한국정보디스플레이학회:학술대회논문집
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• 2004.08a
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• pp.198-201
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• 2004

We have developed a multi-domain vertically aligned liquid crystal display (MVA-LCD) that produces natural gray-scale images even at high viewing angles. We divided each pixel into two areas and set different threshold voltages for each sub-area. A transparent electrode in a sub-area is not connected directly to the source electrodes but via the capacitance of the SiN layer. In particular, light-orange skin color appears very natural, even at a high inclination angle. The contrast ratio is over 500 in the normal direction and over 10 from any viewing angle.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2013.06a
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• pp.319-321
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• 2013

야간 영상에서 쉽게 발생하는 빛 번짐은 영상 내에 존재하는 색상 정보나 경계선과 같은 컴퓨터 비전에서 중요한 정보들에 대해 영향을 끼친다. 때문에 이를 효과적으로 이용하기 위해서는 빛 번짐 영역을 없애주는 보정단계가 필요하다. 보정하기 위해서는 먼저 그 빛 번짐 영역을 정확하게 찾아내는 것이 중요하다. 본 논문에서는 다층구조를 이용하여 얻어진 빛 번짐 영역을 더욱 정확하게 모델링 할 수 있는 방법을 제안한다. 제안하는 방법은 슈퍼픽셀을 이용하여 빛 번짐 영역 모델링의 정확도를 향상시킨다. 제안한 방법에 의하면 층 구조를 이용하면서 발생되는 문제점인 영상 밝기 정보에만 의존하여 잘못된 영역을 포함시키거나 누락시켰던 문제점을 해결하였다.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.486-488
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• 2004

The SRI (Super Resolution Imager) uses the CCD (Charge coupled device) detector that is used to convert the light into electronic data. The purpose of the SRI is to obtain data for high resolution images by converting incoming light into digital stream of pixel data. The SRI has a high resolution, so this electronic system needs more fast imaging data processing, detector control and data transmission systems. This report describes the required system specification and manufactured electronic system for satellite.

• Journal of Information Display
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• v.8 no.4
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• pp.23-26
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• 2007

A natural 3D image is considered by many people to be next-step in evolution of displays. This paper introduces autostereoscopic 3D of 60-view number, which is made using slanted lenticular lens array and LCD of 15.1 inch diagonal size and 3200 by 2400 pixel numbers and presents the results of our prototype. Due to its large view number, smooth motion parallax is observed and the visual fatigue is reduced.

• Journal of Semiconductor Engineering
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• v.2 no.1
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• pp.125-129
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• 2021

As the interest of deep learning, techniques to control the color of images in image processing field are evolving together. However, there is no clear standard for color, and it is not easy to find a way to represent only the color itself like the color-palette. In this paper, we propose a novel color palette extraction system by chroma fine-tuning with reinforcement learning. It helps to recognize the color combination to represent an input image. First, we use RGBY images to create feature maps by transferring the backbone network with well-trained model-weight which is verified at super resolution convolutional neural networks. Second, feature maps are trained to 3 fully connected layers for the color-palette generation with a generative adversarial network (GAN). Third, we use the reinforcement learning method which only changes chroma information of the GAN-output by slightly moving each Y component of YCbCr color gamut of pixel values up and down. The proposed method outperforms existing color palette extraction methods as given the accuracy of 0.9140.

• Journal of Broadcast Engineering
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• v.24 no.2
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• pp.306-314
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• 2019

Since the resolutions of videos increase rapidly, there are continuing needs for effective video compression methods despite an increase in the transmission bandwidth. In order to satisfy such a demand, a reconstructive video coding (RVC) method by using a super resolution has been proposed. Since RVC reduces the resolution of the input video, when frames are compressed to the same size, the number of bits per pixel increases, thereby reducing coding artifacts caused by video coding. However, RVC method using super resolution is not effective in all target bitrates. Comparing the size of the loss generated while downsizing the resolution and the size of the loss caused by the video compression, only when the size of loss generated in the video compression is larger, RVC method can perform the improved compression performance compared to direct video coding. In particular, since HEVC has considerably higher compression performance than the previous standard video codec, it can be experimentally confirmed that the compression distortions become larger than the distortions of downsizing the resolution only in the very low-bitrate conditions. In this paper, we applied RVC based HEVC in various video types and measured the target bitrates that RVC method can be effectively applied.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.6
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• pp.634-638
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• 2018

Haze is a factor that degrades the performance of various image processing algorithms, such as those for detection, tracking, and recognition using an electro-optical sensor. For robust operation of an electro-optical sensor-based unmanned system used outdoors, an algorithm capable of effectively removing haze is needed. As a haze removal method using a single electro-optical sensor, the dark channel prior using statistical properties of the electro-optical sensor is most widely known. Previous methods used a square filter in the process of obtaining a transmission using the dark channel prior. When a square filter is used, the effect of removing haze becomes smaller as the size of the filter becomes larger. When the size of the filter becomes excessively small, over-saturation occurs, and color information in the image is lost. Since the size of the filter greatly affects the performance of the algorithm, a relatively large filter is generally used, or a small filter is used so that no over-saturation occurs, depending on the image. In this paper, we propose an improved haze removal method using color image segmentation. The parameters of the color image segmentation are automatically set according to the information complexity of the image, and the over-saturation phenomenon does not occur by estimating the amount of transmission based on the parameters.