• Journal of information and communication convergence engineering
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• v.8 no.1
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• pp.51-58
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• 2010

This paper proposes an edge adaptive color interpolation for an ultra-small HD-grade complementary metal-oxide semiconductor (CMOS) video sensor in camera phones that can process 720-p/30-fps videos. Recently, proposed methods with great image quality perceptually reconstruct the green component and then estimate the red/blue component using the reconstructed green and neighbor red and blue pixels. However, these methods require the bulky memory line buffers in order to temporally store the reconstructed green components. The edge adaptive color interpolation method uses seven or nine patterns to calculate the six edge directions. At the same time, the threshold values are adaptively adjusted by the sum of the color values of the selected pixels. This method selects the suitable one among the patterns using two flowcharts proposed in this paper, and then interpolates the missing color values. For verification, we calculated the peak-signal-to-noise-ratio (PSNR) in the test images, which were processed by the proposed algorithm, and compared the calculated PSNR of the existing methods. The proposed color interpolation is also fabricated with the 0.18-${\mu}m$ CMOS flash memory process.

• Journal of information and communication convergence engineering
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• v.7 no.4
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• pp.507-515
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• 2009

In this paper, we propose an image signal processor (ISP) for an ultra small HD-grade video sensor with 3A (AWB, AE, and AF) in camera phones that can process 720P/30fps videos. In order to enhance the video quality of the systems, it is necessary to achieve the high performance of the 3A. The proposed AWB algorithm multiplies the adjusted coefficients of color gains to the captured data of white objects. The proposed AE method adopts the index step moving based on the difference between an averaged Y luminance and a target luminance, together with IIR filters with variable time responses. The proposed AF technique controls the focus curve to find the lens position that maximizes the integrated high frequency components in luminance values by using highpass filters. Finally, we compare the image quality captured from our system to the quality of a commercial HD camcorder in order to evaluate the performance of the proposed ISP. The proposed ISP system is also fabricated with 0.18um CMOS flash memory process.

• Korean Journal of Remote Sensing
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• v.37 no.5_1
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• pp.1095-1109
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• 2021

The technology used to recognize the location and surroundings of autonomous vehicles is called SLAM. SLAM standsfor Simultaneously Localization and Mapping and hasrecently been actively utilized in research on autonomous vehicles,starting with robotic research. Expensive GPS, INS, LiDAR, RADAR, and Wheel Odometry allow precise magnetic positioning and mapping in centimeters. However, if it can secure similar accuracy as using cheaper Cameras and GPS data, it will contribute to advancing the era of autonomous driving. In this paper, we present a method for converging monocular camera with RTK-enabled GPS data to perform RMSE 33.7 cm localization and mapping on the urban road.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.07a
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• pp.32-35
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• 2015

국내에서 디지털라디오를 위한 연구와 실험 및 전송방식 선정 시도가 1997년부터 본격적으로 시도되었다. 그동안 국내에서 검토된 디지털라디오 전송방식은 DAB, DAB+, HD-Radio, DRM, DRM+ 방식에 대한 연구가 이루어졌고, 비교실험도 실행되었다. 그러나 각각의 전송방식에 대한 방송사마다 선호도가 다르고, 주파수 할당 문제를 포함하여 정부와 방송사의 이해와 득실에 대한 해석 방향이 많이 다르기 때문에 아직도 국내 전송방식을 결정하기가 매우 어려운 실정이다. 이에 본 논문은 먼저 아날로그 라디오방송과 디지털 라디오방송이 공통적으로 가지고 있어야 하는 중요한 목표와 목적 몇 가지를 선정하여 연구문제로 설정하였다. 연구방법으로는 현재 아날로그 FM방송과 동일한 내용이 동시에 전송되고 있는 DMB의 라디오 채널을 대상으로 FM방송과 수신환경을 비교 조사를 해보고, 주어진 연구문제를 충족할 수 있는 요소를 얼마나 가지고 있는지 분석을 해보았다. 나머지 전송방식에 대해서는 DMB에 포함된 DAB방식의 디지털라디오 규격과 2011년 ETRI 비교실험 결과 자료를 기준으로 상대적 비교를 통하여 긍정적 요소와 부정적 요소를 분석 헤 봄으로써 향후 디지털라디오 수신환경 구축 목표와 전송방식 선정에 실질적인 도움이 될 수 있는 방안을 제시하고자 한다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.2
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• pp.1-9
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• 2009

This paper develops a fast method performing intra prediction which only restores block boundary pixels without decoding all blocks in an I slice of H.264/AVC. To accomplish this, we develop a fast integer inverse DCT scheme that quickly decodes residual block boundary which can be consisted of references pixels. we add the restored block boundary pixels and appropriate calculated prediction pixels for each intra prediction mode and consist of needed reference pixels. The experiments showed that the proposed method produces the reliable performance with reducing the computational complexity, compared to conventional method when applied to H.264/AVC integer DCT.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.10
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• pp.3887-3907
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• 2015

This paper introduces a full duplex single secondary user multiple-input multiple-output (FD-SSU-MIMO) cognitive radio network, where secondary user (SU) opportunistically accesses the authorized spectrum unoccupied by primary user (PU) and transmits data based on FD-MIMO mode. Then we study the network achievable average sum-rate maximization problem under sum transmit power budget constraint at SU communication nodes. In order to solve the trade-off problem between SU's sensing time and data transmission time based on opportunistic spectrum access (OSA) and the power allocation problem based on FD-MIMO transmit mode, we propose a simple trisection algorithm to obtain the optimal sensing time and apply an alternating optimization (AO) algorithm to tackle the FD-MIMO based network achievable sum-rate maximization problem. Simulation results show that our proposed sensing time optimization and AO-based optimal power allocation strategies obtain a higher achievable average sum-rate than sequential convex approximations for matrix-variable programming (SCAMP)-based power allocation for the FD transmission mode, as well as equal power allocation for the half duplex (HD) transmission mode.