• Title/Summary/Keyword: 복원법

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Regularized Iterative Image Restoration by using Method of Conjugate Gradient (공액경사법을 이용한 정칙화 반복 복원 방법)

  • 홍성용
    • Journal of the Korea Society of Computer and Information
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    • v.3 no.2
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    • pp.139-146
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    • 1998
  • This paper proposes a regularized iterative image restoration using method of conjugate gradient considering a priori information. Compared with conventional regularized method of conjugate gradient, this method has merits to prevent the artifacts by ringing effects and the partial magnification of the noise in the course of restoring the image degraded by blur and additive noise. Proposed method applies the constraints to accelerate the convergence ratio near the edge portions, and the regularized parameter suppresses the magnification of the noise. As experimental results, I show the superior convergence ratio and the suppression by the artifacts of the proposed method compared with conventional methods.

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Regularized iterative image resotoration by using method of conjugate gradient with constrain (구속 조건을 사용한 공액 경사법에 의한 정칙화 반복 복원 처리)

  • 김승묵;홍성용;이태홍
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.9
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    • pp.1985-1997
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    • 1997
  • This paper proposed a regularized iterative image restoration by using method of conjugate gradient. Compared with conventional iterative methods, method of conjugate gradient has a merit to converte toward a solution as a super-linear convergence speed. But because of those properties, there are several artifacts like ringing effects and the partial magnification of the noise in the course of restoring the images that are degraded by a defocusing blur and additive noise. So, we proposed the regularized method of conjugate gradient applying constraints. By applying the projectiong constraint and regularization parameter into that method, it is possible to suppress the magnification of the additive noise. As a experimental results, we showed the superior convergence ratio of the proposed mehtod compared with conventional iterative regularized methods.

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Super Resolution Reconstruction Using Stochastic Approach (확률적 접근법을 이용한 초해상도 영상복원)

  • Park, Jae-Min;Kown, Hyuk-Jong;Kim, Byung-Guk
    • 한국공간정보시스템학회:학술대회논문집
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    • 2005.05a
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    • pp.263-266
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    • 2005
  • 고해상도 영상은 원격탐사, 의료영상 등 다양한 분야에서 사용되며, 향후에 많은 수요가 예상된다. 초해상도 영상복원은 동일한 지역을 촬영한 여러 장의 저해상도 영상을 이용하여 고해상도 영상으로 복원하는 소프트웨어적인 영상 해상도 향상 방법이며, 공간 영역과 주파수 영역의 초해상도 영상복원으로 구분된다. 본 연구에서는 공간 영역에서 확률적 접근법을 이용하여 CCD 영상의 초해상도 영상복원을 수행하였다.

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(t,n)+1 threshold secret sharing scheme ((t,n)+1 임계 비밀 분산법)

  • Kim, Ki-Baek;Kim, Sang-Jin;Oh, Hee-Kuck
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.05a
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    • pp.1052-1055
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    • 2007
  • 비밀 분산법은 암호화된 정보를 해독하는데 필요한 비밀 키를 여러 조각(share or shadow)으로 나누어서 권한이 있는 다수의 참여자에게 분산시키고 키의 복원이 필요할 때 비밀 정책에 따른 참여자들이 모여서 키를 복구하는 암호 프로토콜이다. 비밀 분산법의 특징은 비밀 키의 손실을 방지하는 차원도 있지만 그보다는 비밀 키를 가진 참여자의 권한을 분배함으로써 권한의 오남용을 방지하는 것이다. 기존의 (t,n)임계 기법에서의 비밀 분산법에서는 권한이 있는 참여자 n명 중에서 t명이 모였을 경우 비밀 키를 복원함으로써 권한의 문제를 해결했지만, 이 논문에서 제안된 기법은 비밀 키를 복원하는데 변경된 (t,n)+1 임계 기법(여기서 1은 n에 포함되지 않는 별도의 참여자)에서의 비밀 분산법을 사용함으로써 비밀 키를 복원하고 권한의 문제를 해결한다. 제안된 기법은 다수의 합의가 필요로 하는 분야에 다양하게 적용될 수 있다.

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A Method for Recovering Text Regions in Video using Extended Block Matching and Region Compensation (확장적 블록 정합 방법과 영역 보상법을 이용한 비디오 문자 영역 복원 방법)

  • 전병태;배영래
    • Journal of KIISE:Software and Applications
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    • v.29 no.11
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    • pp.767-774
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    • 2002
  • Conventional research on image restoration has focused on restoring degraded images resulting from image formation, storage and communication, mainly in the signal processing field. Related research on recovering original image information of caption regions includes a method using BMA(block matching algorithm). The method has problem with frequent incorrect matching and propagating the errors by incorrect matching. Moreover, it is impossible to recover the frames between two scene changes when scene changes occur more than twice. In this paper, we propose a method for recovering original images using EBMA(Extended Block Matching Algorithm) and a region compensation method. To use it in original image recovery, the method extracts a priori knowledge such as information about scene changes, camera motion and caption regions. The method decides the direction of recovery using the extracted caption information(the start and end frames of a caption) and scene change information. According to the direction of recovery, the recovery is performed in units of character components using EBMA and the region compensation method. Experimental results show that EBMA results in good recovery regardless of the speed of moving object and complexity of background in video. The region compensation method recovered original images successfully, when there is no information about the original image to refer to.

Image Reconstruction of Sinogram Restoration using Inpainting method in Sparse View CT (Sparse view CT에서 inpainting 방법을 이용한 사이노그램 복원의 영상 재구성)

  • Kim, Daehong;Baek, Cheol-Ha
    • Journal of the Korean Society of Radiology
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    • v.11 no.7
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    • pp.655-661
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    • 2017
  • Sparse view CT has been widely used to reduce radiation dose to patient in radiation therapy. In this work, we performed sinogram restoration from sparse sampling data by using inpainting method for simulation and experiment. Sinogram restoration was performed in accordance with sampling angle and restoration method, and their results were validated with root mean square error (RMSE) and image profiles. Simulation and experiment are designed to fan beam scan for various projection angles. Sparse data in sinogram were restored by using linear interpolation and inpainting method. Then, the restored sinogram was reconstructed with filtered backprojection (FBP) algorithm. The results showed that RMSE and image profiles were depended on the projection angles and restoration method. Based on the simulation and experiment, we found that inpainting method could be improved for sinogram restoration in comparison to linear interpolation method for estimating RMSE and image profiles.

토양경작법(Landfarming)을 이용한 유류오염토양의 복원효율 평가

  • Jeon Gwon-Ho;Han Wan-Su;Jeong Hyeon-Seok;Seo Chang-Il;Park Jeong-Gu
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2005.04a
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    • pp.219-222
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    • 2005
  • 유류로 오염된 토양에 대해 토양경작법(Landfarming)을 적용하여 복원효율을 평가하였다. 복원 초기에는 주로 휘발에 의한 오염물질의 저감이 이루어졌으며, 이 후 미생물성장에 필요한 토양뒤집기와 질소원 영양물질의 공급으로 인해 미생물수가 복원초기에 비해 약 200배 증가하면서 약 30여일 경과 후 초기 20,000ppm에서 복원목표인 TPH의 토양오염우려기준 2,000ppm의 이하인 1,910ppm으로 감소하였다. 시간이 경과할수록 탄소원 섭취기질 부족으로 완만한 오염물질 감소속도를 나타내면서 최종적으로 TPH를 측정한 결과 1,288ppm으로서 제거효율 94%이상을 나타내었다.

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어선 복원성 기준 미적용 대상의 3톤급 연안어선에 대한 복원성 연구

  • 김성욱;김인태;이진미
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.11a
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    • pp.239-240
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    • 2023
  • 국내 등록된 어선은 「어선법」 및 「어선복원성 및 만재흘수선 기준」 에 따라 복원성 기준을 만족해야 한다. 그럼에도 불구하고 복원성 기준을 적용받지 않는 어선은 국내 등록된 어선 중 약 80 %를 차지하고 있다. 이에 본 연구에서는 3톤급 연안어선 7척을 선정하여 복원성 계산을 수행하였으며, 이들이 국내외 복원성 기준을 만족하는지에 대하여 검토하였다.

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Design of a Reusable Secret Sharing Scheme in a Hierarchical Group (비밀조각의 재사용이 가능한 권한 위임 비밀분산법의 설계)

  • 양성미;박소영;이상호
    • Journal of KIISE:Computer Systems and Theory
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    • v.30 no.9
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    • pp.487-493
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    • 2003
  • A secret sharing scheme is a cryptographic Protocol that a dealer distributes shares about a secret to many participants and authorized subsets of the participants can reconstruct the secret. Secret sharing schemes that reflect various access structure were proposed. We propose a new reusable secret sharing scheme in a hierarchical group. Participants have priority about restoration of secret from high position level of tree. And when participants who belong in high position level are absent, they can delegate restoration competence of the secret transmitting delegation ticket to child nodes that it belongs in low rank level. By participants reuse own share and take part in different secret restoration, they who belong on hierarchical group can be possible different secret restoration by each participant's single share.

Three-dimensional Distortion-tolerant Object Recognition using Computational Integral Imaging and Statistical Pattern Analysis (집적 영상의 복원과 통계적 패턴분석을 이용한 왜곡에 강인한 3차원 물체 인식)

  • Yeom, Seok-Won;Lee, Dong-Su;Son, Jung-Young;Kim, Shin-Hwan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.10B
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    • pp.1111-1116
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    • 2009
  • In this paper, we discuss distortion-tolerant pattern recognition using computational integral imaging reconstruction. Three-dimensional object information is captured by the integral imaging pick-up process. The captured information is numerically reconstructed at arbitrary depth-levels by averaging the corresponding pixels. We apply Fisher linear discriminant analysis combined with principal component analysis to computationally reconstructed images for the distortion-tolerant recognition. Fisher linear discriminant analysis maximizes the discrimination capability between classes and principal component analysis reduces the dimensionality with the minimum mean squared errors between the original and the restored images. The presented methods provide the promising results for the classification of out-of-plane rotated objects.