• 제목/요약/키워드: Phase-only image

검색결과 174건 처리시간 0.028초

Stearic acid 유기박막의 표면주고 Image (Surface Structure Image of Stearic acid Organic Thin Films)

  • 장헌;송진원;최영일;이경섭
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2001년도 추계학술대회 논문집 Vol.14 No.1
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    • pp.562-564
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    • 2001
  • Transformation of molecular film occurs only usually in air-water interface, 2 dimensions domain's growth and crash are achieved. Organic matter thin film that accumulate molecular film in archaism board only that consist of growth of domain can understand correct special quality of accumulation film supplying information about fine structure and properties of matter of device observing information and so on that is surface forward player and optic enemy using AFM one of SPM application by nano electronics. The stable images are probably due to a strong interaction between the monolayer film and glass substrate. We are unable to obtain molecule resolution in images of the films but did see a marked contrast between images of the bare substrate and those with the network structure film deposited onto it. Formation that prevent when gas phase state and liquid phase state measure but Could know organic matter that molecules form equal and stable film when molecules were not distributed evenly. and accumulated in solid state only.

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Stearic acid 유기박막의 표면구조 Image (Surface Structure Image of Stearic acid Organic Thin Films)

  • 장헌;송진원;최영일;이경섭
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2001년도 추계학술대회 논문집
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    • pp.562-564
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    • 2001
  • Transformation of molecular film occurs only usually in air-water interface, 2 dimensions domain's growth and crash are achieved. Organic matter thin film that accumulate molecular film in archaism board only that consist of growth of domain can understand correct special quality of accumulation film supplying information about fine structure and properties of matter of device observing information and so on that is surface forward player and optic enemy using AFM one of SPM application by nano electronics. The stable images are probably due to a strong interaction between the monolayer film and glass substrate. We are unable to obtain molecule resolution in images of the films but did see a marked contrast between images of the bare substrate and those with the network structure film deposited onto it. Formation that prevent when gas phase state and liquid phase state measure but Could know organic matter that molecules form equal and stable film when molecules were not distributed evenly, and accumulated in solid state only.

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결합변환 상관기의 위상특성을 이용한 광 암호화 시스템 (Optical Security System Based on the Phase Characteristic of Joint Transform Correlator)

  • 박세준;서동환;김수종
    • 대한전자공학회논문지SD
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    • 제40권6호
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    • pp.400-407
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    • 2003
  • 본 논문에서는 전통적인 JTC와는 달리 입력평면을 주파수 영역으로 사용해서 JTC의 자기상관성분을 이용하여 원 영상을 재생할 수 있는 광 암호화 시스템을 제안하였다. 제안한 시스템은 푸리에변환과 역변환의 두 가지 처리과정을 거치지 않고 한 번의 푸리에 변환 과정을 거치는 구조로 JTC를 사용하기 때문에 출력 평면에 나타나는 위상성분의 영향을 고려해야 한다. 따라서 본 논문에서는 결합입력평면의 구조에 따른 위상성분의 영향을 분석하고 해결책을 제시하였다. 원 영상은 무작위 위상영상과 곱해져 수치적인 방법으로 암호화되며 복소함수 값을 가지므로 기존의 광 보안 시스템이 가지는 장점을 그대로 가진다. 또한 한 번의 푸리에 변환만을 이용하고 JTC의 가장 큰 문제점인 자기상관성분을 이용하여 원 영상을 재생하므로 JTC를 이용한 실시간 처리에 보다 적합하다. 컴퓨터 모의실험과 광 실험을 통하여 분석의 타당성을 확인하고 제안한 암호화 시스템의 성능을 확인하였다.

Fast-Converging Algorithm for Wavefront Reconstruction based on a Sequence of Diffracted Intensity Images

  • Chen, Ni;Yeom, Jiwoon;Hong, Keehoon;Li, Gang;Lee, Byoungho
    • Journal of the Optical Society of Korea
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    • 제18권3호
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    • pp.217-224
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    • 2014
  • A major advantage of wavefront reconstruction based on a series of diffracted intensity images using only single-beam illumination is the simplicity of setup. Here we propose a fast-converging algorithm for wavefront calculation using single-beam illumination. The captured intensity images are resampled to a series of intensity images, ranging from highest to lowest resampling; each resampled image has half the number of pixels as the previous one. Phase calculation at a lower resolution is used as the initial solution phase at a higher resolution. This corresponds to separately calculating the phase for the lower- and higher-frequency components. Iterations on the low-frequency components do not need to be performed on the higher-frequency components, thus making the convergence of the phase retrieval faster than with the conventional method. The principle is verified by both simulation and optical experiments.

Robust Similarity Retrieval for Radial Distortion of Object Shape Based on the Normalized Phase Angles and Moment

  • An, Young Eun;Kim, Tae Yeun
    • 통합자연과학논문집
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    • 제12권2호
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    • pp.35-43
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    • 2019
  • In the content-based image search properties, form information is simple because only the contours of objects are available, and although it can effectively extract the characteristics of the objects, it is sensitive to external noise. The radial distortion, one of these noises, is most prominent in the eyewear and, due to the structural characteristics of the imaging equipment, radiative distortion occurs in almost all imaging equipment. It is very important to determine the similarity of the objects in the images in which these distortions occurred to the actual objects. In order to improve this problem, we propose a strong image search technique for formative noise and radiative distortion using regularization phase angles and moments. Through simulation using Wang DB, the proposed algorithm proved excellent performance for radiation distortion that occurs in general. In addition, a system optimized for database can be implemented by making appropriate changes to the threshold values, enabling image retrieval with the desired level of confidence in various systems. The algorithm proposed in this paper is expected to be utilized as an optimal imaging system by extracting morphological form information of multimedia data.

RELATIONSHIP BETWEEN ERROR DIFFUSION COEFFICIENTS, OBJECT SIZE AND OBJECT POSITION FOR CGH

  • Nishi, Susumu;Tanaka, Ken-ichi
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.492-497
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    • 2009
  • Computer-Generated Hologram (CGH) is made for three dimensional image of a virtual object. Error diffusion method is used for the phase quantization of CGH, and it is known to be effective to the image quality improvement of the reconstructed image. However, the image quality of the reconstructed image from the CGH using error diffusion method depends on the selection of error diffusion coefficient. In this paper, we derived the relational expression to obtain the error diffusion coefficient from the position of the input object and size of the input object for CGH. As a result, the method of this thesis was able to obtain an excellent reconstructed image compared with the case to derive the error diffusion coefficient from only the position of the input image.

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SA-MPOF의 유사 및 회전불변 광패턴인식 특성 (Similar and rotation invariant optical pattern recognition characteristics of SA-MPOF)

  • 윤진선;이연선;김남;엄주욱;박한규
    • 한국통신학회논문지
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    • 제21권4호
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    • pp.855-868
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    • 1996
  • In this paper, multiplhase only filter(MPOFs) are designed using simulated annealing algorithm. These filters have excellent recognition characteristics for similar patterns or rotated patterns and enhance optical efficiency as well as spatial-bandwidth product by deleting mirror image. As the result of computer simulation to certify recogntion characteristics of similar patterns, simulated annealing-MPOF(SA-MPOF) has superior discrimination and higher correlation peak values than cosine binary phase only filters(CBPOF) and simpulated annealing-BPOF (SA-BPOF). THe filter having training process for rotated patterns of arbitraty possible angle can overcome that phase only filter(POF) and CBPOF can't recognize rotated input patterns.

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신경회로망의 학습규칙을 이용한 SDF 적응 필터 설계 (Adaptive SDF filter design using the Widrow-Hoff learning rule)

  • 김홍만
    • 한국광학회:학술대회논문집
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    • 한국광학회 1989년도 제4회 파동 및 레이저 학술발표회 4th Conference on Waves and lasers 논문집 - 한국광학회
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    • pp.103-106
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    • 1989
  • A method of adaptive formation of the synthetic discriminant function(SDF) both in image plane and spatial frequency plane by using the Widrow-Hoff learning rule is proposed. The proposed method uses minimum number of interconnections between neurons so it can reduce the time for learning the neural net. Also complex valued interconnection weights are introduced for the purposes of handling the phase objects or Fourier transformed spatial frequency objects which usually have complex values for the representation of not only amplitude but also phase information. Also methods of optical implementation for the complex valued interconnection weights are discussed.

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Hierarchical stereo matching using feature extraction of an image

  • Kim, Tae-June;Yoo, Ji-Sang
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.99-102
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    • 2009
  • In this paper a hierarchical stereo matching algorithm based on feature extraction is proposed. The boundary (edge) as feature point in an image is first obtained by segmenting an image into red, green, blue and white regions. With the obtained boundary information, disparities are extracted by matching window on the image boundary, and the initial disparity map is generated when assigned the same disparity to neighbor pixels. The final disparity map is created with the initial disparity. The regions with the same initial disparity are classified into the regions with the same color and we search the disparity again in each region with the same color by changing block size and search range. The experiment results are evaluated on the Middlebury data set and it show that the proposed algorithm performed better than a phase based algorithm in the sense that only about 14% of the disparities for the entire image are inaccurate in the final disparity map. Furthermore, it was verified that the boundary of each region with the same disparity was clearly distinguished.

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합성곱신경망을 이용한 SAP 잡음 제거 후처리 알고리즘 (Post Processing Noise Reduction Algorithm of SAP Using Convolution Neural Network)

  • 김동형
    • 디지털산업정보학회논문지
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    • 제19권2호
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    • pp.57-68
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    • 2023
  • Because salt and pepper noise is a type of impulse, even a small amount of noise could cause a large image degradation. In this paper, we proposed a salt-and-pepper noise removal method using the convolutional neural network. It consists of four phases. In the first step, the proposed method reconstructs noisy image using a traditional salt-and-pepper noise reduction method, and in the second step, the result image of previous step is filtered with Gaussian low pass filter. After that, we reconstruct the filtered image using convolution neural network. In the last step, the pixels with salt-and-pepper noise are replaced with the result of previous phase. Simulation results show that the proposed method yields not only objective image qualities(PSNR, SSIM) but also subjective image qualities for all SAP noise ratios.