• Title/Summary/Keyword: 픽셀

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A Compression Method for the True Color Images Using the Similarities of Data (데이타의 유사성을 이용한 실제 색상 화상의 압축 기법)

  • Kim, Tai-Yun;Song, Gil-Yeong;Jo, Gwang-Mun;Choe, Chang-Won
    • The Transactions of the Korea Information Processing Society
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    • v.1 no.3
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    • pp.398-408
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    • 1994
  • It is true color that is allocated 1 byte to three basic colors, red, green, and blue in order to represent a pixel of an image. It is a merit that almost all colors are representable by using the true color. However, it requires a lot of storages. An efficient image compression method is necessary. Most of the existing compression methods have not considered the characteristics of the true color images. Therefore, the efficient compression has been almost impossible. The differences of each pixel and its adjacent pixels in the true color images are few. Only a few bits in 3 bytes data which represent a pixel have different values. But the different bits are scattered in 3 bytes, so efficient compression results are not achieved. Therefore, in the study it is shown that the similarities of data are increased by relocating the data structures of true color images. And an efficient compression strategy which uses the similarities of data is proposed.

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Evaluating Green Network based on Pixel of Landsat TM Satellite Image (Landsat TM 위성영상 픽셀 기반의 녹지 연계망 평가)

  • Lee, Dong-Youn;Um, Jung-Sup
    • Spatial Information Research
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    • v.18 no.2
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    • pp.1-12
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    • 2010
  • At present, monitoring programmes for green network have been mainly based on field sampling, which relies on attributes of an area at one point in time, reflecting an emphasis on the small number of in-situ data. One of the major disadvantages of traditional field monitoring is that it is costly, laborious and time consuming due to the large number of samples required. The aim of this research was to evaluate green network based on pixel of Landsat TM satellite image. An empirical study for a case study site was conducted to demonstrate how a standard remote sensing technology can be used to assist in monitoring the green network based on pixel. The pixel-based analysis made it possible to identify area-wide patterns of green network subject to many different type of artificial structures, which cannot be acquired by traditional field sampling. It was demonstrated that the degradation trends of green network could be used effectively as an indicator to restrict further development of the sites since the quantitative data generated from remote sensing can present area-wide visual evidences by permanent record. It is anticipated that this research output could be used as a valuable reference to support more scientific and objective decision-making in monitoring green network.

Development of Monte Carlo Simulation Code for the Dose Calculation of the Stereotactic Radiosurgery (뇌 정위 방사선수술의 선량 계산을 위한 몬테카를로 시뮬레이션 코드 개발)

  • Kang, Jeongku;Lee, Dong Joon
    • Progress in Medical Physics
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    • v.23 no.4
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    • pp.303-308
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    • 2012
  • The Geant4 based Monte Carlo code for the application of stereotactic radiosurgery was developed. The probability density function and cumulative density function to determine the incident photon energy were calculated from pre-calculated energy spectrum for the linac by multiplying the weighting factors corresponding to the energy bins. The messenger class to transfer the various MLC fields generated by the planning system was used. The rotation matrix of rotateX and rotateY were used for simulating gantry and table rotation respectively. We construct accelerator world and phantom world in the main world coordinate to rotate accelerator and phantom world independently. We used dicomHandler class object to convert from the dicom binary file to the text file which contains the matrix number, pixel size, pixel's HU, bit size, padding value and high bits order. We reconstruct this class object to work fine. We also reconstruct the PrimaryGeneratorAction class to speed up the calculation time. because of the huge calculation time we discard search process of the ThitsMap and used direct access method from the first to the last element to produce the result files.

A Sparse-ON Pixel Two-Dimensional 6/8 Modulation Code (저밀도 ON 픽셀 2차원 6/8 변조부호)

  • Hwang, Myungha;Lee, Jaejin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.10
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    • pp.833-837
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    • 2013
  • Since holographic data storages read and write information on a volume and the information is processed per page, it has the advantage of high recording density and data transfer rate. However, there are two major drawbacks like 2-dimensional intersymbol interference and interpage interference as the density between pixels increases. Furthermore, a bright page that contains many ON pixels influences the reliable detection of the neighboring pages, which causes the less number of pages stored in the storage volume. We propose a sparse-ON pixel two-dimensional modulation code with the code rate 6/8 for increasing the number of pages stored in the volume. The proposed code is compared to conventional 6/8 balanced code, and it shows similar or a little bit better performance than that of the balanced code. Therefore, the proposed code can increase the recording capacity without loss of the performance.

3-D Object Recognition and Restoration for Packing Administration System Using Ultrasonic Sensors and Neural Networks (주차관리 시스템 응용을 위한 신경회로망과 연계된 초음파 센서의 3차원 물체인식과 복원)

  • 조현철;이기성;사공건
    • The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.10 no.4
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    • pp.78-84
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    • 1996
  • In this study, 3-D object recognition and restoration independent of the object translation for automotive kind recognition in parking administration system using an ultrasonic sensor array, neural networks and invariant moments are presented. Using invariant moment vectors of the acquired data 16$\times$8 pixels, 3-D objects could be classified by SCL (Simple Competitive Learning) neural networks. Modified SCL neural networks using the 16$\times$8 low resolution image was used for object restoration of 32$\times$32 high resolution image. Invariant moment vectors kept constant independent of the object translation. The recognition rates for the training and the testing data were 98[%] and 95[%], respectively. The experimental results have shown that ultrasonic sensor array with the neural networks could be applied for the detection of the automobiles and classification of the automotive kind.

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Design of a Parallel Rendering Processor Architecture with Effective Memory System (효과적인 메모리 구조를 갖는 병렬 렌더링 프로세서 설계)

  • Park Woo-Chan;Yoon Duk-Ki;Kim Kyoung-Su
    • The KIPS Transactions:PartA
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    • v.13A no.4 s.101
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    • pp.305-316
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    • 2006
  • Current rendering processors are organized mainly to process a triangle as fast as possible and recently parallel 3D rendering processors, which can process multiple triangles in parallel with multiple rasterizers, begin to appear. For high performance in processing triangles, it is desirable for each rasterizer have its own local pixel cache. However, the consistency problem may occur in accessing the data at the same address simultaneously by more than one rasterizer. In this paper, we propose a parallel rendering processor architecture resolving such consistency problem effectively. Moreover, the proposed architecture reduces the latency due to a pixel cache miss significantly. For the above two goals, effective memory organizations including a new pixel cache architecture are presented. The experimental results show that the proposed architecture achieves almost linear speedup at best case even in sixteen rasterizers.

Pixel-level Current Mirroring Injection with 2-step Bias-current Suppression for 2-D Microbolometer FPAs (이차원 마이크로볼로미터 FPA를 위한 이 단계 바이어스 전류 억제 방식을 갖는 픽셀 단위의 전류 미러 신호취득 회로)

  • Hwang, Chi Ho;Woo, Doo Hyung
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.11
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    • pp.36-43
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    • 2015
  • A pixel-level readout circuit is studied for 2-dimensional microbolometer focal plane arrays (FPAs). A current mirroring injection (CMI) input circuit with 2-step current-mode bias suppression is proposed for a pixel-level architecture with high responsivity and long integration time. The proposed circuit has been designed using a $0.35-{\mu}m$ 2-poly 4-metal CMOS process for a $320{\times}240$ microbolometer array with a pixel size of $50{\mu}m{\times}50{\mu}m$. The proposed 2-step bias-current suppression has sufficiently low calibration error with wide calibration range, and the calibration range and error can be easily optimized by controlling some design parameters. Due to high responsivity and a long integration time of more than 1 ms, the noise equivalent temperature difference (NETD) of the proposed circuit can be improved to 26 mK, which is much better than that of the conventional circuits, 67 mK.

Camera Modelling of Linear Pushbroom Images - Quality analysis of various algorithms (대표적 위성영상 카메라 모델링 알고리즘들의 비교연구)

  • 김태정;김승범;신동석
    • Korean Journal of Remote Sensing
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    • v.16 no.1
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    • pp.73-86
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    • 2000
  • Commonly-used methods for camera modelling of pushbroom images were implemented and their performances were assessed. The models include Vector Propagation) model, Gugan and Downman(GD)'s model, Orun and Natarajan(ON)'s model, and Direct Linear Transformation(DLT) model The models were tested on a SPOT full-scene over Seoul. The number of ground control points(GCP) used range from 1 to 23. For less than 6 GCPs all other models fail except VP, with VP's accuracy being 2.7 pixels. With mode than 6 GCPs ON shows the best accuracy with 1pixel accuracy while the accuracy of VP is 1.5 pixels. GD fails in most cases due to the correlation among model parameters. The accuracy of DLT does not converge but fluctuates between 1 and 4 pixels subject to GCPs used. VP has an advantage in that its results can be used for the estimation of satellite orbit. Unresolved topics are: to remove errors in GCPs from the aforementioned accuracy value; to improve the performance of VP.

Efficient Single Image Dehazing by Pixel-based JBDCP and Low Complexity Transmission Estimation (저 복잡도 전달량 추정 및 픽셀 기반 JBDCP에 의한 효율적인 단일 영상 안개 제거 방법)

  • Kim, Jong-Ho
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.5
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    • pp.977-984
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    • 2019
  • This paper proposes a single image dehazing that utilizes the transmission estimation with low complexity and the pixel-based JBDCP (Joint Bright and Dark Channel Prior) for the effective application of hazy outdoor images. The conventional transmission estimation includes the refinement process with high computational complexity and memory requirements. We propose the transmission estimation using combination of pixel- and block-based dark channel information and it significantly reduces the complexity while preserving the edge information accurately. Moreover, it is possible to estimate the transmission reflecting the image characteristics, by obtaining a different air-light for each pixel position of the image using the pixel-based JBDCP. Experimental results on various hazy images illustrate that the proposed method exhibits excellent dehazing performance with low complexity compared to the conventional methods; thus, it can be applied in various fields including real-time devices.

Single Image Haze Removal Technique via Pixel-based Joint BDCP and Hierarchical Bilateral Filter (픽셀 기반 Joint BDCP와 계층적 양방향 필터를 적용한 단일 영상 기반 안개 제거 기법)

  • Oh, Won-Geun;Kim, Jong-Ho
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.1
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    • pp.257-264
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    • 2019
  • This paper presents a single image haze removal method via a pixel-based joint BDCP (bright and dark channel prior) and a hierarchical bilateral filter in order to reduce computational complexity and memory requirement while improving the dehazing performance. Pixel-based joint BDCP reduces the computational complexity compared to the patch-based DCP, while making it possible to estimate the atmospheric light in pixel unit and the transmission more accurately. Moreover the bilateral filter, which can smooth an image effectively while preserving edges, refines the transmission to reduce the halo effects, and its hierarchical structure applied to edges only prevents the increase of complexity from the iterative application. Experimental results on various hazy images show that the proposed method exhibits excellent haze removal performance with low computational complexity compared to the conventional methods, and thus it can be applied in various fields.