• 정보처리학회논문지B
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• 제12B권3호
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• pp.283-290
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• 2005

워터마킹에서 영상의 평행이동, 회전, 크기변환 왜곡에 기인한 워터마크 삽입 위치와 추출 위치의 불일치는 해결해야 하는 문제이다. 본 논문에서는 복구패턴 정합을 통한 영상동기화를 이용함으로써 기하학적 왜곡에 강인한 워터마킹 방법을 제안한다. 제안하는 방법은 복구패턴을 정의하여 워터마크가 삽입된 영상에 복구패턴을 삽입 배포한다. 그리고 배포된 영상으로부터 복구패턴을 추출하여 삽입한 복구패턴과 비교함으로써 기하학적 왜곡 여부를 확인한다 기하학적 왜곡이 발생하였다면 왜곡된 만큼 역변환을 함으로써 워터마크 삽입 위치와 추출 위치를 동기화 한다. 제안한 방법의 성능을 평가하기 위하여 이동, 회전, 스케일링 공격에 대한 실험결과를 보인다.

• The Journal of Korean Physical Therapy
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• 제24권2호
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• pp.66-72
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• 2012

Purpose: The purpose of this study is to explore the importance of the image distortion correction in the cross sectional area measurement for the iliopsas muscle, tensor fasciae latae muscle, gluteus maximus muscle and the knee extensor muscles, by using (magnetic resonance imaging) MRI. Methods: This study was performed using an open 0.32T MRI system. To estimate the image distortion, T1 images for an AAPM homogeneity/linearity phantom were acquired, and the region in which the maximum geometric distortion was less than or equal to the pixel size (1.6 mm) of the images, it was defined as the distortion correction-free region. The T2 images for a human subject's pelvis and thigh in normal positions were obtained. Then, after the regions of interest in the pelvis and thigh were moved into the distortion correction-free region, T2 images for the pelvis and thigh were scanned with the same imaging parameters used in the previous T2 imaging. The cross-sectional areas were measured in the two T2 images that were obtained in the normal position, and the distortion correction-free region, as well as the area error caused by geometric image distortion was calculated. Results: The geometrical distortion is gradually increased, from the magnet center to the outer region, in axial and coronal plane. The cross-sectional area error of gluteus maximus muscle and the knee extensors was as high as 9.27% and 3.16% in before and after distortion correction, respectively. Conclusion: The cross-sectional area of the muscles that suffered from the geometrical distortion is necessary to correct for the estimation of the intervention.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -2
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• pp.1268-1271
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• 2002

The major threat of geometric manipulations is that they change the positions of watermarks, therefore the detection process fails to extract watermark properly. Since they cause the same effects on the host image as watermarks simultaneously, evaluating the distorted host image can be helpful to measure the nature of distortions. In this paper, we propose a geometrical distortion-resilient watermarking algorithm based on this property. Firstly we evaluate the orientation of a host image by filtering it with directional Gabor kernels, then we insert embedding pattern aligned to the estimated orientation. In its detection step, we evaluate the orientation again by Gabor filtering, then simply project and average the projected value to obtain a 1-D projection average pattern. Finally, auto-correlation function of the 1-D projection average pattern identifies periodic peaks. Analysed are experimental results against geometrical attacks including aspect ratio changes.

• 한국정밀공학회지
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• 제16권3호통권96호
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• pp.198-207
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• 1999

This paper presents an accurate algorithm for geometric calibration of X-ray imaging system. Calibration is a very important process for improving an imaging system performance. There has been a lot of previous works using linear camera modeling technique, where lens distortion is neglected and/or center of distortion is assumed to be known. Geometrical distortion of image intensifier, however, is very large and its center of distortion should be calculated. This paper presents a new calibration method to estimate the intensifier position and orientation, scale factor, distortion coefficient, magnification factor, and center of distortion using the least square method. We investigate the properties of the algorithm by computer simulation. Simulation results show that the parameters can be estimated accurately using the proposed algorithm.

• Journal of the Optical Society of Korea
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• 제16권3호
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• pp.270-276
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• 2012

An off-axis integral floating system using a concave mirror is analyzed to resolve the image distortion incurred by the off-axis optical arrangement. The concave mirror can be adopted as the floating device to improve the optical efficiency. The image distortion due to the tilting axis of the concave mirror needs to be analyzed precisely to generate the pre-distortion image. In this paper, we calculate the image deformation in the off-axis structure of the concave mirror using the geometrical optics. Using the calculation results, the compensated elemental image can be generated for the pre-distortion integrated image, which can be projected to the floating 3D image without image distortion. The basic experiments of the off-axis integral floating are presented to prove and verify the proposal.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.219-222
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• 2007

Today, use of high resolution satellite image with at least 1m resolution is expanding into many more areas including forest, river way, city, seashore and so forth for disaster prevention. Interest in this medium is increasing among the general public due to the roll-out to the private sector as Google earth, Virtual Earth and so forth. However, pre-processing process that revises the geometrical distortion that result at the time of photographing is required in order to use high resolution satellite image. The purpose of this research is to search the most accurate GCP(Ground Control Point) information acquisition method that is used for the revision of high resolution satellite image's geometrical distortion through automated processing. Through this, it is possible to contribute to increasing the level of accuracy at the time of high resolution satellite image revision and to secure promptness.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권11호
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• pp.2893-2912
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• 2013

The design of geometrically invariant watermarking is one of the most challenging work in digital image watermarking research area. To achieve the robustness to geometrical attacks, the inherent characteristic of an image is usually used. In this paper, a geometrically invariant image watermarking scheme using connected objects and gravity center is proposed. First, the gray-scale image is converted into the binary one, and the connected objects according to the connectedness of binary image are obtained, then the coordinates of these connected objects are mapped to the gray-scale image, and the gravity centers of those bigger objects are chosen as the feature points for watermark embedding. After that, the line between each gravity center and the center of the whole image is rotated an angle to form a sector, and finally the same version of watermark is embedded into these sectors. Because the image connectedness is topologically invariant to geometrical attacks such as scaling and rotation, and the gravity center of the connected object as feature points is very stable, the watermark synchronization is realized successfully under the geometrical distortion. The proposed scheme can extract the watermark information without using the original image or template. The simulation results show the proposed scheme has a good invisibility for watermarking application, and stronger robustness than previous feature-based watermarking schemes against geometrical attacks such as rotation, scaling and cropping, and can also resist common image processing operations including JPEG compression, adding noise, median filtering, and histogram equalization, etc.

• 한국산학기술학회논문지
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• 제10권1호
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• pp.117-121
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• 2009

어안 렌즈 카메라로 촬영한 어안 영상은 일반 카메라 영상보다 화각이 크다. 반면 영상에서 피사체의 왜곡이 커서 사용자의 인지가 어려우므로 원근 영상으로 변환이 필요하다. 기존의 Ishii 방법[1]은 등거리 투영을 사용하므로 피사체가 변환 영상에서 크기와 기하학적 왜곡이 생기는 문제점을 가지고 있었다. 본 논문에서는 스케일링 함수를 이용한 어안 영상의 원근 영상 변환 방법을 제안하였다. 실험에서, 제안한 방법은 스케일링 함수를 적용함으로써 크기 왜곡과 기하학적 왜곡이 감소되었다.

• 정보처리학회논문지B
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• 제10B권4호
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• pp.373-380
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• 2003

대부분의 저가형 디지털 카메라에 사용되는 광학계의 경우 상대적으로 심한 렌즈 왜곡을 보이고 있다. 본 연구의 목적은 렌즈의 기하학적 왜곡에 의한 영상 품질의 저하를 보정하려는 것으로 Tsai의 카메라 캘리브레이션 방법을 단순화한 렌즈 왜곡 변수 계산 방법 및 계산된 렌즈 왜곡 변수를 이용하여 왜곡된 원영상을 이미지 워핑을 통해 보정하는 방법을 제안한다. 렌즈 왜곡 변수 계산 단계에서는 카메라 캘리브레이션 과정의 단순화를 위해 scale factor ratio 및 이미지 센터를 처리하는 실질적인 방식에 대해 보고하며 정량적인 이미지 품질 척도를 이용하여 왜곡보정 효과를 측정함으로써 제안된 방법의 타당성을 보인다. 한편, 렌즈 왜곡 변수 계산 단계에서의 결과를 바탕으로 이미지 워핑을 적용하기 위해 역공간 매핑 방식을 적용하는 경우 본 연구에서 적용된 방사상 렌즈 왜곡 모델의 정확한 해를 구하기 위해서는 3차 방정식의 해를 구하여야 한다. 본 논문에서는 정보기기로의 내장형 구현에 필수적인 실시간 처리를 목적으로 2차 방정식으로의 근사화 방법을 제안한다. 실험을 통하여 제안된 근사화 방법의 실시간 구현 가능성을 보이며 아울러 3차 방정식의 해를 이용한 이미지 워핑의 경우와 성능이 동등함을 보인다.

• 한국콘텐츠학회논문지
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• 제15권11호
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• pp.18-26
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• 2015

스캐너 대신 카메라를 이용하여 문서의 사본 영상을 촬영하면 촬영 각도에 따라 기하학적 왜곡이 발생하거나 그림자가 생길 수 있다. 본 논문에서는 카메라로 촬영한 문서 영상으로부터 왜곡을 보정하고 그림자 영향을 제거한 흑백 문서 영상 생성 알고리즘을 제안하였다. 카메라 렌즈의 방사 왜곡으로 인해 휘어진 테두리를 펴거나 촬영 각도에 따라 유입된 문서 외부 영역을 제거하기 위한 기하학적 보정을 위해 2차 미분 필터 기반의 문서 테두리 검출 방안을 마련하였다. 그리고 적응적 이진화 방법으로 그림자를 제거한 흑백 문서 영상을 생성하였다. 제안한 왜곡 보정 흑백 문서 영상 생성 알고리즘을 스마트 폰 카메라로 촬영한 문서 영상들을 대상으로 실험한 결과 우수한 처리 결과를 얻을 수 있었다.