• 제목/요약/키워드: Image output system

검색결과 399건 처리시간 0.025초

ICT 기반 스마트 멀티터치 영상 출력 시스템 (Smart Touch Screen Output System Based on ICT)

  • 박유진;최시웅;황승국
    • 한국지능시스템학회논문지
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    • 제27권2호
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    • pp.138-143
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    • 2017
  • 본 연구에서는 ICT기반으로 한 스마트 터치 영상 출력 시스템의 구현을 목적으로 한다. 여기서의 영상 출력 시스템은 영상 감지 반응 센서를 통해 인식감지를 하여 움직임 패턴을 영상 화면과 실제 사용하는 해상도에 차이가 있으므로 이 오차를 최소화하기 위해서 화면 좌표인식 형태의 펜 터치 방식을 이용하는 스마트 영상 출력시스템을 말한다. 이를 위하여 ICT 기반의 기술을 응용하여 영상 데이터 출력을 기존의 유선 방식이 아닌 무선 방식과 스마트 터치 기능으로 PC 및 노트북, 모니터, 키보드, 마우스 없이도 원거리에서 조작이 가능한 스마트 영상 출력 시스템을 구축하였다. 본 연구결과는 스크린 없이도 벽면만 있으면 영상을 출력할 수 있고, 이 출력된 영상에서 펜으로 작동할 수 있다는 것이 특징이다.

다중 SNS 채널 자동 스트리밍 서버의 RELAY 모듈 설계 (The RELAY Module Design of Multi SNS Channel Auto Streaming Server)

  • 안희학;이대식
    • 디지털산업정보학회논문지
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    • 제13권4호
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    • pp.213-219
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    • 2017
  • Streaming server is that an image produced in real time or a file form of image produced ahead consists of SNS service, and the relay module of streaming server includes output management module that set an output channel more than 2 and control transmission of video content. This thesis intends to suggest how to stream through plural output channel that contains output channel of external streaming server using relay module and do streaming provided to terminal receiving image, and streaming server, streaming system for this. Thus, by extending output channel sending out image to output channel of external streaming server, the scale of streaming server is not limited and the process allotting external streaming server into output channel sending the image becomes simple, so management of output channel becomes efficient even when sending several images.

BPEJTC를 이용한 광 영상 스위칭 시스템 (Optical Image Switching System based on BPEJTC)

  • 이상이;이승현;양훈기;김은수
    • 전자공학회논문지A
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    • 제32A권10호
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    • pp.51-63
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    • 1995
  • In this paper, a new real-time optical image switching system based on the phase-typed BPEJTC is suggested. The phase filter mask which has the arbitrary position mapping function between input and output planes is constructed by using the modified JTPS of the BPEJTC. Then, the input image is convolved with this phase filter mask in the spatial frequency domain and through further Fourier transform the input image is switched to the new positions in the output correlation plane where the correlation peaks are occurred. And, based on the computer simulation results, the practical optical switched to the new positions in the output correlation plane where the correlation peaks are occurred. And, based on the computer simulation results, the practical optical switching system is opto-digitally constructed and through some experiments on image switching the possiblity of real-time implementation of the multiple optical image switching system by using the BPEJTC is suggeste.

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퍼지 시스템과 Particle Swarm Optimization(PSO)을 이용한 Prewarping 기술 (Prewarping Techniques Using Fuzzy system and Particle Swarm Optimization)

  • 장우석;강환일
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2006년도 추계학술대회 학술발표 논문집 제16권 제2호
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    • pp.272-274
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    • 2006
  • In this paper, we concentrate on the mask design problem for optical micro-lithography. The pre-distorted mask is obtained by minimizing the error between the designed output image and the projected output image. We use the particle swarm optimization(PSO) and fuzzy system to insure that the resulting images are identical to the desired image. Our method has good performance for the iteration number by an experiment.

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이산 카오스 함수와 Permutation Algorithm을 결합한 고신뢰도 광영상 암호시스템 (A high reliable optical image encryption system which combined discrete chaos function with permutation algorithm)

  • 박종호
    • 정보보호학회논문지
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    • 제9권4호
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    • pp.37-48
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    • 1999
  • 현대암호방식은 종래의 선형 대수와 수리이론을 적용한 암호통신을 벗어난 유사 잡음성을 띠는 카오스 신호를 이용한 암호통신을 적용해 오고 있다,[1-2] 본 논문은 1차 permutation 알고 리즘을 이용 하여 변환된 정보를 2차 이산 카오스 변환 함수를 이용해 암호화하는 광영상 암호시스템을 제안하여UT 다. 제안된 시스템은 키수열 발생기의 출력을 통해 영상정보를 permutation 하는 알고리즘 을 설계하였고 이에 대한 검정을 수행하였다. 또한 본 논문에서는 permutation 알고리즘을 통해 제한적인 카오스 함수 의 적용시 발생하는 문제점을 해결하고 비도를 증가시킴으로써 광영상 암호시스템에 적용 시 그 타당성 을 검정하였다. Current encryption methods have been applied to secure communication using discrete chaotic system whose output is a noise-like signal which differs from the conventional encryption methods that employ algebra and number theory[1-2] We propose an optical encryption method that transforms the primary pattern into the image pattern of discrete chaotic function first a primary pattern is encoded using permutation algorithm, In the proposed system we suggest the permutation algorithm using the output of key steam generator and its security level is analyzed. In this paper we worked out problem of the application about few discrete chaos function through a permutation algorithm and enhanced the security level. Experimental results with image signal demonstrate the proper of the implemented optical encryption system.

3차원 Multiple-Input Multiple-Output 간섭계 ISAR 영상형성기법 (3-D Multiple-Input Multiple-Output Interferometric ISAR Imaging)

  • 강병수;배지훈;양은정;김경태
    • 한국전자파학회논문지
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    • 제26권6호
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    • pp.564-571
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    • 2015
  • 본 논문에서는 다중입력-다중출력(multiple-input, multiple-output: MIMO) 간섭계(interferometric) 레이다 네트워크 시스템을 기반한 MIMO 간섭계 역합성 개구면 레이다(inverse synthetic aparture radar: InISAR) 영상 형성기법에 관해 연구하였다. MIMO 간섭계 레이다 네트워크 시스템 내에서는 여러 바이스태틱 InISAR 영상들이 형성되며, 이들을 인코히리언트(incoherent)하게 합성함으로써 MIMO InISAR 영상을 형성할 수 있다. 여기서, 바이스태틱 InISAR 영상은 바이스태틱 기하구조 내에서의 표적에 대한 산란분포를 3차원의 형태로 도시한다. 상기 MIMO InISAR 영상에서는 다중 각도에서의 바이스태틱 산란 현상을 3차원의 형태로 도시하기 때문에, 표적의 다양한 산란 정보를 제공함과 더불어, 표적 식별 시 유용한 특징 벡터(feature vector)로써 활용될 수 있다. 시뮬레이션을 통해, 제안된 MIMO InISAR 영상 형성 기법을 이용함으로써 표적에 대한 다중각도에서의 바이스태틱 산란분포가 3차원의 형태로 도시되는 것을 확인할 수 있다.

Restoring Turbulent Images Based on an Adaptive Feature-fusion Multi-input-Multi-output Dense U-shaped Network

  • Haiqiang Qian;Leihong Zhang;Dawei Zhang;Kaimin Wang
    • Current Optics and Photonics
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    • 제8권3호
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    • pp.215-224
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    • 2024
  • In medium- and long-range optical imaging systems, atmospheric turbulence causes blurring and distortion of images, resulting in loss of image information. An image-restoration method based on an adaptive feature-fusion multi-input-multi-output (MIMO) dense U-shaped network (Unet) is proposed, to restore a single image degraded by atmospheric turbulence. The network's model is based on the MIMO-Unet framework and incorporates patch-embedding shallow-convolution modules. These modules help in extracting shallow features of images and facilitate the processing of the multi-input dense encoding modules that follow. The combination of these modules improves the model's ability to analyze and extract features effectively. An asymmetric feature-fusion module is utilized to combine encoded features at varying scales, facilitating the feature reconstruction of the subsequent multi-output decoding modules for restoration of turbulence-degraded images. Based on experimental results, the adaptive feature-fusion MIMO dense U-shaped network outperforms traditional restoration methods, CMFNet network models, and standard MIMO-Unet network models, in terms of image-quality restoration. It effectively minimizes geometric deformation and blurring of images.

전자출판에서 입.출력 장치의 컬러 관리에 관한 연구 (II) (A Study on Color Management of Input and Output Device in Electronic Publishing (II))

  • 조가람;구철회
    • 한국인쇄학회지
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    • 제25권1호
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    • pp.65-80
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    • 2007
  • The input and output device requires precise color representation and CMS (Color Management System) because of the increasing number of ways to apply the digital image into electronic publishing. However, there are slight differences in the device dependent color signal among the input and output devices. Also, because of the non-linear conversion of the input signal value to the output signal value, there are color differences between the original copy and the output copy. It seems necessary for device-dependent color information values to change into device-independent color information values. When creating an original copy through electronic publishing, there should be color management with the input and output devices. From the devices' three phases of calibration, characterization and color conversion, the device-dependent color should undergo a color transformation into a device-independent color. In this paper, an experiment was done where the input device used the linear multiple regression and the sRGB color space to perform a color transformation. The output device used the GOG, GOGO and sRGB for the color transformation. After undergoing a color transformation in the input and output devices, the best results were created when the original target underwent a color transformation by the scanner and digital camera input device by the linear multiple regression, and the LCD output device underwent a color transformation by the GOG model.

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Digital Image Simulation of Electro-Optical Camera(EOC) on KOMPSAT-1

  • Shim, Hyung-Sik;Yong, Sang-Soo;Heo, Haeng-Pal;Lee, Seung-Hoon;Oh, Kyoung-Hwan;Paik, Hong-Yul
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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    • pp.349-354
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    • 1999
  • Electro-Optical Camera (EOC) is the main payload of the KOMPSAT-1 satellite to perform the mission of cartography that builds up a digital map of Korean territory including a digital terrain elevation map. This paper discusses the issues of the digital image simulation of EOC for the generation of EOC simulated scene as taken by EOC at 685km altitude on orbit. For the purpose, simulation work has been performed with the sensor models of EOC and the satellite platform motions models through image chain analysis from the illumination source (Sun) to a simulated image output in digital number. MODTRAN fur radiance calculation, MTF models of optics, detector and motions of EOC for system point spread function (PSF), and signal chain equations for digital number output are described. Several noise models of EOC are also considered. The final output is the EOC simulated image in digital number. The simulation technique can be used in several phase of a spaceborne electro-optical system development project, feasibility study phase, design, manufacturing, test phases, ground image processing phases, and so on.

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Adaptive Transform Image Coding by Fuzzy Subimage Classification

  • Kong, Seong-Gon
    • 한국지능시스템학회논문지
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    • 제2권2호
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    • pp.42-60
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    • 1992
  • An adaptive fuzzy system can efficiently classify subimages into four categories according to image activity level for image data compression. The system estimates fuzzy rules by clustering input-output data generated from a given adaptive transform image coding process. The system encodes different images without modification and reduces side information when encoding multiple images. In the second part, a fuzzy system estimates optimal bit maps for the four subimage classes in noisy channels assuming a Gauss-Markov image model. The fuzzy systems respectively estimate the sampled subimage classification and the bit-allocation processes without a mathematical model of how outputs depend on inputs and without rules articulated by experts.

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