• 제목/요약/키워드: Image output system

검색결과 398건 처리시간 0.023초

FPGA Implementation of LSB-Based Steganography

  • Vinh, Quang Do;Koo, Insoo
    • Journal of information and communication convergence engineering
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    • 제15권3호
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    • pp.151-159
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    • 2017
  • Steganography, which is popular as an image processing technology, is the art of using digital images to hide a secret message in such a way that its existence can only be discovered by the sender and the intended receiver. This technique has the advantage of concealing secret information in a cover medium without drawing attention to it, unlike cryptography, which tries to convert data into something messy or meaningless. In this paper, we propose two efficient least significant bit (LSB)-based steganography techniques for designing an image-based steganography system on chip using hardware description language (HDL). The proposed techniques manipulate the LSB plane of the cover image to embed text inside it. The output of these algorithms is a stego-image which has the same quality as that of the original image. We also implement the proposed techniques using the Altera field programmable gate array (FPGA) and Quartus II design software.

이동 객체 추적을 위한 움직임 영역 검출 (Moving area detection for moving object tracking)

  • 오명관;최동진;전병민
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2003년도 추계종합학술대회 논문집
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    • pp.281-284
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    • 2003
  • 본 연구에서는 이동 객체 추적 시스템의 전처리 과정으로 움직임 영역을 검출하는 방법을 제안한다. 연속되는 영상으로부터 시간적으로 차이가 있는 두 개의 프레임을 얻은 후 이들의 이진 차영상을 구함으로서 움직임 영역을 검출한다. 차영상을 이용하는 경우 이전 프레임에서의 객체 영역과 현재 프레임에서의 객체 영역이 모두 검출된다. 추적 시스템에서는 카메라의 이동에 따라 배경이 변화되기 때문에 어느 영역이 객체의 현재 위치인지를 결정하는 방법이 필요하다. 이를 위해 본 연구에서는 현재 프레임의 이진 에지영상을 구하고 이것을 차영상과 논리적인 AND 연산을 수행한다. 실험 결과 이동 객체의 움직임 영역을 정확히 검출할 수 있음을 확인할 수 있었다.

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국부영역의 동적범위 변화를 이용한 영상 개선 알고리즘 (Regional Dynamic Range Histogram Equalization for Image Enhancement)

  • 이의혁
    • 한국군사과학기술학회지
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    • 제7권3호
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    • pp.101-109
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    • 2004
  • Image enhancement for Infrared imaging system is mainly based on the global histogram equalization. The global histogram equalization(GHE) is a method in which each pixel is equalized by using a whole histogram of an image. GHE is speedy and effective for real-time imaging system but its method fails to enhance the fine details. On the other hand, the basic local histogram equalization(LHE) method uses sliding a window and. the pixels under the window region are equalized over the whole output dynamic range. The LHE is adequate to enhance the fine details. But this method is computationally slow and noises are over-enhanced. So various local histogram equalization methods have been already presented to overcome these problems of LHE. In this paper, a new regional dynamic range histogram equalization (RDRHE) is presented. RDRHE improves the equalization quality while reducing the computational burden.

적응 알고리즘을 이용한 실시간 영상합성 시스템 구현에 관한 연구 (A Study On The Implementation of Real Time Image Composition System Using Adaptive Algorithm)

  • 김중한;최두일;조우연
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 합동 추계학술대회 논문집 정보 및 제어부문
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    • pp.569-572
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    • 2002
  • In this study, a real-time image composition system was implemented using chroma key algorithm. To write a high Quality chroma key function based on processing of foreground and/or background frames before combining them into an output image, Adaptive 3-dimensional surface equation model was proposed. When the bright of room is changed or shadow of object is on the blue screen, proposed algorithm would still produce good result.

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Color Enhancement in Images with Single CCD camera in Night Vision Environment

  • Hwang, Wonjun;Ko, Hanseok
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -1
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    • pp.58-61
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    • 2000
  • In this paper, we describe an effective method to enhance the color night images with spatio-temporal multi-scale retinex focused to the Intelligent Transportation System (ITS) applications such as in the single CCD based Electronic Toll Collection System (ETCS). The basic spatial retinex is known to provide color constancy while effectively removing local shades. However, it is relatively ineffective in night vision enhancement. Our proposed method, STMSR, exploits the iterative time averaging of image sequences to suppress the noise in consideration of the moving vehicles in image frame. In the STMSR method, the spatial term makes the dark images distinguishable and preserves the color information day and night while the temporal term reduces the noise effect for sharper and clearer reconstruction of the contents in each image frame. We show through representative simulations that incorporating both terms in the modeling produces the output sequential images visually more pleasing than the original dim images.

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얼굴 인식과 RFID를 이용한 실시간 인증 시스템 (The Authentication System in Real-Time using Face Recognition and RFID)

  • 지정규
    • 한국컴퓨터정보학회논문지
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    • 제13권5호
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    • pp.263-272
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    • 2008
  • 본 논문은 RFID 보안 시스템에서 2단계 인증 과정을 통하여 RFID시스템의 안정성을 높이는 방법을 제안한다. 제안하는 시스템은 RFID 태그 인증 후 추가적으로 사용자를 인증하기 위하여 카메라를 통하여 입력된 사용자의 이미지 정보에서 특징을 추출 한다. 출입구에서 인증을 위해 먼저 RFID태그를 사용하여 인증하고, 다음으로 카메라를 통하여 획득한 사용자 이미지로부터 특징 정보를 추출하여 시스템에 등록된 사용자 정보와 유사도 비교를 통하여 최종 인증하는 시스템을 제안한다. RFID 시스템에서 사용하는 태그는 2.450Hz 대역의 다양한 주파수를 발진하는 능동형 태그를 사용한다. 또한 사용자 이미지의 특징 정보는 윤곽선 정보와 색상 특징 정보를 이용하여 시스템에 등록된 정보와 일치 하는지 유사도를 비교하여 인증할 수 있도록 하였다.

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드릴가공시 신경망에 의한 공구 이상상태 검출에 관한 연구 (A Study on the Detection of the Abnormal Tool State for Neural Network in Drilling)

  • 신형곤;김민호;김태영;김대성
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2001년도 춘계학술대회 논문집
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    • pp.1021-1024
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    • 2001
  • Out of all metal-cutting processes, the hole-making process is the most widely used. It is estimated to be more than 30% of the total metal-cutting process. It is therefore desirable to monitor and detect drill wear during the hole-drilling process. In this paper, the vision system of the sensing methods of drill flank wear on the basis of image processing is used to detect the wear pattern by non-contact and direct method and get the reliable wear information about drill. In image processing of acquired image, median filter is applied for noise removal. The vision flank wear area of the drill was measured. Backpropagation neural networks (BPns) were used for no-line detection of drill wear. The neural network consisted of three layers: input, hidden and output. The input vectors comprised of spindle rotational speed, feed rates, vision flank wear, thrust and torque signals. The output was the drill wear state which was either usable or failure. Drilling experiments with various spindle rotational speed and feed rates were carried out. The learning process was peformed effectively by utilizing backpropagation. The detection of the abnormal states using BPNs achieved 96.4% reliability even when the spindle rotational speed and feedrate were changed.

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MIMO 레이다 환경에서 Polar Format Processing 기반 이동표적 이미징 (Polar-Format-Processing-Based Moving Target Imaging in MIMO Radar Environment)

  • 최상현;양훈기
    • 한국전자파학회논문지
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    • 제30권2호
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    • pp.124-131
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    • 2019
  • 본 논문은 여러 송수신 레이다들이 지상에 고정된 MIMO(multiple input multiple output) 레이다 환경에서 이동표적을 이미징할 수 있는 알고리즘을 제시한다. 제시된 알고리즘은 평면파 근사를 사용한 polar format processing에 기반한 것으로 수신 레이다 간 이격이 큰 경우에도 복수의 송신 레이다를 사용해서 앨리어싱(aliasing) 현상이 배제된 이동표적 이미지를 얻을 수 있음을 보인다. 앨리어싱 현상을 줄이면서 해상도를 높일 수 있는 송신 레이다 배치에 대한 조건을 제시하며, 또한 각 송신 레이다에 의한 표적 산란 신호를 수신 레이다에서 분리시킬 수 있는 방법을 제시한다. 마지막으로 시뮬레이션을 통해서 제시된 MIMO 레이다 시스템의 성능을 검증한다.

EAR: Enhanced Augmented Reality System for Sports Entertainment Applications

  • Mahmood, Zahid;Ali, Tauseef;Muhammad, Nazeer;Bibi, Nargis;Shahzad, Imran;Azmat, Shoaib
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권12호
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    • pp.6069-6091
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    • 2017
  • Augmented Reality (AR) overlays virtual information on real world data, such as displaying useful information on videos/images of a scene. This paper presents an Enhanced AR (EAR) system that displays useful statistical players' information on captured images of a sports game. We focus on the situation where the input image is degraded by strong sunlight. Proposed EAR system consists of an image enhancement technique to improve the accuracy of subsequent player and face detection. The image enhancement is followed by player and face detection, face recognition, and players' statistics display. First, an algorithm based on multi-scale retinex is proposed for image enhancement. Then, to detect players' and faces', we use adaptive boosting and Haar features for feature extraction and classification. The player face recognition algorithm uses boosted linear discriminant analysis to select features and nearest neighbor classifier for classification. The system can be adjusted to work in different types of sports where the input is an image and the desired output is display of information nearby the recognized players. Simulations are carried out on 2096 different images that contain players in diverse conditions. Proposed EAR system demonstrates the great potential of computer vision based approaches to develop AR applications.

SETTING OF HPA OUTPUT POWER IN COMS DATS CONSIDERING IMD CHARACTERISTICS

  • Park, Durk-Jong;Yang, Hyung-Mo;Ahn, Sang-Il
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.204-207
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    • 2006
  • COMS will receive two different meteorological signals in S-Band from IDACS (Image Data Acquisition and Control System) in ground station before transmitting them in L-Band to user station. MODCS (Meteorological Ocean Data Communication Subsystem) in satellite released the value of required PFD (Power Flux Density) to receive two signals. Thus, DATS (Data Acquisition and Transmission Subsystem) needs to send two signals to satellite with a satisfied EIRP. The value of minimum HPA (High Power Amplifier) output power was estimated by subtracting antenna directional gain and path loss between antenna and HPA from the needed EIRP in this paper. Besides the minimum output power of HPA, the maximum output power was also calculated with considering IMD (Inter-Modulation Distortion) characteristics. IMD is always occurred in the output of HPA when LRIT and HRIT are amplified by using single HPA as COMS application. In this paper, the setting of maximum output power was determined when the IMD of modelled HPA was corresponded to the requirement of MODCS.

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