• 한국멀티미디어학회논문지
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• 제18권6호
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• pp.701-709
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• 2015

Image stitching method is a technique for obtaining an high-resolution image by combining two or more images. In X-ray image for clinical diagnosis, the size of the imaging region taken by one shot is limited due to the field-of-view of the equipment. Therefore, in order to obtain a high-resolution image including large regions such as a whole body, the synthesis of multiple X-ray images is required. In this paper, we propose a rapid stitching method of digital X-ray images using template-based registration. The proposed algorithm use principal component analysis(PCA) and k-nearest neighborhood(k-NN) to determine the location of input images before performing a template-based matching. After detecting the overlapping position using template-based matching, we synthesize input images by alpha blending. To improve the computational efficiency, reduced images are used for PCA and k-NN analysis. Experimental results showed that our method was more accurate comparing with the previous method with the improvement of the registration speed. Our stitching method could be usefully applied into the stitching of 2D or 3D multiple images.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권7호
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• pp.3268-3283
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• 2018

With the advent of the Information Age, the source identification of digital images, as a part of digital image forensics, has attracted increasing attention. Therefore, an effective technique to identify the source of digital images is urgently needed at this stage. In this paper, first, we study and implement some previous work on image source identification based on sensor pattern noise, such as the Lukas method, principal component analysis method and the random subspace method. Second, to extract a purer sensor pattern noise, we propose a sample selection method to improve the random subspace method. By analyzing the image texture feature, we select a patch with less complexity to extract more reliable sensor pattern noise, which improves the accuracy of identification. Finally, experiment results reveal that the proposed sample selection method can extract a purer sensor pattern noise, which further improves the accuracy of image source identification. At the same time, this approach is less complicated than the deep learning models and is close to the most advanced performance.

• 한국항행학회논문지
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• 제8권2호
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• pp.169-175
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• 2004

본 논문에서는 무선 멀티미디어 통신 환경에서 정지영상 전송에 삽입되는 디지털 워터마킹에 관하여 분석하였다. 또한, 기존의 이미지를 사용한 방법보다 원 영상에 미치는 영향이 적고 외부공격으로부터 강인한 워터마크 복원 능력을 보이는 개선된 워터마크 기법을 제안 하였다. 성능분석으로써 무선 멀티미디어 서비스를 위해 OFDM/QPSK 영상전송 시스템을 이용하여 무선채널 환경에서의 정지영상 이미지와 워터마크로 사용된 정보에 미치는 영향을 분석하였다. 분석 결과, 본 논문에서 제안한 VI 워터마크를 삽입함으로써 원영상에 미치는 영향이 매우작고, 높은 복원 성능을 보여줌을 알 수 있었다. 또한, 동일한 전송에러 조건의 무선 채널환경에서 이미지 워터마크에 비해 우수한 저작권 정보 추출 성능을 보였다.

• 디지털산업정보학회논문지
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• 제5권4호
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• pp.189-197
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• 2009

This paper suggests the system for searching and application is to be in combination between existing hair art area and Image/Video processing area. This proposed system usually saves various hair types into a database, then, users send images of their face over the internet by using WebCam. Finally, they can find the hair types for users. Hair cutting is technology that form draft to make hair style. Man cut must decide how in image of sinciput, image of side bean curd, after lower image must operate. Silhouette is produced as is different by change of this three places. Customer increases in the beauty salon and beauty salon chain being changed, research about beauty art is necessary point of time. In this treatise, our country of when swim and operate haircut about problem that happen sample survey and analysis.

• 반도체디스플레이기술학회지
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• 제21권4호
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• pp.156-162
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• 2022

Image compression plays an important role in encoding and improving various forms of images in the digital era. Recent researches have focused on the principle of deep learning as one of the most exciting machine learning methods to show that it is good scheme to analyze, classify and compress images. Various neural networks are able to adapt for image compressions, such as deep neural networks, artificial neural networks, recurrent neural networks and convolution neural networks. In this review paper, we discussed how to apply the rule of deep learning to obtain better image compression with high accuracy, low loss-ness and high visibility of the image. For those results in performance, deep learning methods are required on justified manner with distinct analysis.

• 대한디지털의료영상학회논문지
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• 제9권2호
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• pp.17-21
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• 2007

The purpose to recognize change of average pixel value of acquisition image by control panel's density and right set up method of speed (sensitivity) and exposure dose(mAs) change that dose in purpose digital flatpanel-detector. X -ray generator DHF-158H2(Hitachi, Japan). Detector CXDI 4OG(Canon, Japan), 12 : 1 grid and exposure ray 135 kVp, 250 mA, 10 ms. focus-detector distance 180 cm and used AEC mode. DICOM reflex analysis program used image J that is digital reflex analysis program that offer in United States America National Health Center(National Institutes of Health : NlH) phantom used chest phantom(Anthromorphic : Flukebrome.medicaI USA). An experiment chest phantom that consist by formation equivalence material use because density value( -3${\sim}$+3) in X-ray control panel and seep that is speed step(slow, medium, fast) each control experimentalize. image analysis reflex neted through an experiment using image j each image compare. These was change in dose according to slow, medium, fast and density's change in an experiment result. According to detector sensitivity and density condition set, dose was relationship dissimilarity 500% from 200%. The dose came highest when is density +3 to slow. and dose more increases gray scale's extent could know that rise. Could know whether how equipment set is important through this experiment. cause of disease which change by digital radiography system forward is thought to increase more, it is considered that suitable education by this and continuous interest about equipment need absolutely.

• 한국측량학회지
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• 제9권2호
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• pp.49-56
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• 1991

본 연구에서는 SPOT 위성자료를 이용함에 있어 경제적 시간적 효용성을 증대시키기 위해, CCT 형태의 수치영상자료를 일반 PC 영상처리체계로 처리하여 3차원 위치를 결정하고자 하였으며, 위성영상의 상좌표취득에는 통계적 이론에 근거한 영상정합기법을 도입, 좌표취득의 신뢰도를 분석하여 수치표고모형생성, 정사사진의 작성 등에 요구되는 3차원 위치결정에 관한 새로운 알고리즘을 제시하였다. CCT 형태의 수치위성영상을 이용한 상좌표취득에 있어서 영상정합기법을 적용한 결과, 육안관측에 의하여 상좌표를 취득하는 방법에 비하여 수평위치 및 높이결정의 정확도를 향상시킬 수 있었다. 상좌표취득을 위해 영상상관기법을 적용할 경우, 기준영역의 크기를 변화시켜 상관계수를 구한 결과, 19$\times$19 영상소의 기준영역이 상좌표취득에 있어 가장 적합한 크기임을 알 수 있었으며, 이러한 결과를 바탕으로 SPOT 위성자료를 해석함에 있어 수치영상의 활용에 관한 알고리즘을 제시할 수 있었다.

• 복식문화연구
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• 제23권4호
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• pp.554-568
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• 2015

Technological change leads to a value shift in human society. Various cultural experiences through the digital paradigm influence the expression of fashion. This article considers fashion film as a new form for presenting fashion and explores the distinctiveness of expression in digital fashion film. For the methodology, a literature review was conducted to examine the concepts and features of digital fashion film and metareality. Empirical research was also performed by drawing from Nick Knight's digital films, "Sans Couture", "#asif", and "The Elegant Universe" and by specifically analyzing the classification of the themes, visuals, and auditory expression. The results are as follows. The proliferation of fashion film has accelerated in the internet environment. New media in the digital era allows images to become more realistic and variable through immaterial conversion. Metareality is the notion of a reality beyond existence. A metarealistic image maintains the metaphysical nature of an object and transcends empirical appearance. It possesses immaterial, transboundary, and multidimensional features, and the image is realized by digital technology. The expression analysis identifies the metareality expressed in contemporary fashion film appearing as atypical forms, irrational combinations, and the playfulness of motion. It shows a positive attitude, transcending the immaterial limit of reality toward fashion. This study indicates how fashion as products challenges the metaphysical transformation in the digital era. The exploration of metareality in digital fashion film promotes a wider perspective and understanding of the concept of fashion.

• 대한공간정보학회지
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• 제1권2호
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• pp.153-158
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• 1993

주사기(scanner)에 의해 수치영상자료를 취득하는 과정에 있어서 기존 사진이나 도면의 좌표체계는 수치영상의 좌표체계로서 변환되므로 이들 좌표체계 간의 변환관계를 설정하는 것은 매우 중요한 일이다. 또한 주사기의 주사운동에 따라 왜곡이 발생할 수 있으므로 이를 보정하기 위한 연구도 이루어져야 한다. 본 연구에서는 항공사진을 주사기에 의해 수치화하는 과정에서의 좌표계의 변환관계를 설정하고 주사기의 왜곡을 검정하기 위한 최적검정모형식을 결정하는 과정을 수행하였다. 그 결과 본 연구에 이용된 주사기에 대한 최적검정모형식이 결정되었다. 또한, 본 연구의 수행과정은 기하학적인 해석을 통하여 검정을 수행하였으므로 타 기종의 주사기를 검정하는 데 있어서도 적용이 가능하다.

• 한국지리정보학회지
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• 제10권2호
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• pp.82-90
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• 2007

최근 무분별한 개발로 인한 산림지역의 훼손으로 토양의 침식이 발생하고 이는 강우와 결부되어 하천 오염 및 하천의 바닥고를 상승시켜 통수능을 저하시키는 원인이 되기도 한다. 이를 위해 국내에서는 환경영향평가 및 재해영향평가를 통하여 토사유출의 정량적 분석을 실시하여 적절한 대책을 수립하도록 하고 있다. 토사유출량 산정 시 고려되는 매개변수 중 본 연구에서는 무선조종 헬기 통하여 취득한 영상 정보를 이용하여 절취사면의 사면경사계수(LS) 및 토양피복계수(C)를 영상분석을 이용하여 보다 정확한 값을 산정하였다.