• 제목/요약/키워드: Continuity of the Image

검색결과 145건 처리시간 0.024초

영상보간을 위한 공간변화(Space-Variant) B-Splin 함수 (Space-Variant B-Spline Functions for Image Interpolation)

  • 이병길;김순자;하영호
    • 대한전기학회논문지
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    • 제40권4호
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    • pp.394-401
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    • 1991
  • B-spline function is generally used for an image interpolation because of its smoothness and continuity, but it accompanies a large amount of blurring effect. In this paper, a space-variant B-spline interpolation function is proposed through deblurring process followed by de-aliasing process. The proposed function has parametric expression and performs smoothing and edge-enhancement adaptively in the interpolation process according to local property of the image. Application of this function to image enlargement, rotation, and curve representation producted good results. Even in the presence of noise, noise smoothing effect as well as edge-enhancement were observed in the image interpolation process.

다이나믹 프로그래밍 기반 경동맥 내막-중막 두께 자동측정 시스템 (Automated Measurement System of Carotid Artery Intima-Media Thickness based on Dynamic Programming)

  • 이유부;김명희
    • 한국시뮬레이션학회논문지
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    • 제16권1호
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    • pp.21-29
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    • 2007
  • 본 연구에서는 경동맥 B-모드 초음파영상에서 내막-중막 두께(IMT : Intima-Media Thickness)의 자동측정을 위해 다이나믹 프로그래밍(dynamic programming)을 이용하여 내막과 중막의 경계선을 자동 추출하는 알고리즘을 제안하고 실험결과를 보여준다. 혈관 인터페이스의 픽셀 값과 기울기 등의 영상특징과 연속성의 기하학적 특징을 고려한 평가항(cost term)들을 포함하는 평가함수(cost function)를 계산하여 그 값이 최소가 되는 최적의 위치를 결정하기 위해 다이나믹 프로그래밍 방법을 적용하였다. 또한 스페클(speckle), 드랍아웃(dropout)과 같은 잡음과 약한 에지로 인한 거친 추출 결과에 대해 B-spline을 적용하여 더욱 부드러운 경계선을 유지하도록 함으로써 경계선의 연속성을 향상시켰다. 제안한 방법은 다중영상특징(multiple image features)을 고려함으로써 일반적인 에지 알고리즘보다 더욱 정확하고 재생산 가능한 경계선을 추출하였고 수동측정 시 발생하는 측정자 내, 측정자 간의 추출결과 변이성과 비효율성의 문제점을 해결하여 편리한 자동측정이 가능하게 한다.

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Finite impulse response design based on two-level transpose Vedic multiplier for medical image noise reduction

  • Joghee Prasad;Arun Sekar Rajasekaran;J. Ajayan;Kambatty Bojan Gurumoorthy
    • ETRI Journal
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    • 제46권4호
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    • pp.619-632
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    • 2024
  • Medical signal processing requires noise and interference-free inputs for precise segregation and classification operations. However, sensing and transmitting wireless media/devices generate noise that results in signal tampering in feature extractions. To address these issues, this article introduces a finite impulse response design based on a two-level transpose Vedic multiplier. The proposed architecture identifies the zero-noise impulse across the varying sensing intervals. In this process, the first level is the process of transpose array operations with equalization implemented to achieve zero noise at any sensed interval. This transpose occurs between successive array representations of the input with continuity. If the continuity is unavailable, then the noise interruption is considerable and results in signal tampering. The second level of the Vedic multiplier is to optimize the transpose speed for zero-noise segregation. This is performed independently for the zero- and nonzero-noise intervals. Finally, the finite impulse response is estimated as the sum of zero- and nonzero-noise inputs at any finite classification.

비디오에서 객체의 시공간적 연속성과 움직임을 이용한 동적 객체추출에 관한 연구 (A Study on the Extraction of the dynamic objects using temporal continuity and motion in the Video)

  • 박창민
    • 디지털산업정보학회논문지
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    • 제12권4호
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    • pp.115-121
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    • 2016
  • Recently, it has become an important problem to extract semantic objects from videos, which are useful for improving the performance of video compression and video retrieval. In this thesis, an automatic extraction method of moving objects of interest in video is suggested. We define that an moving object of interest should be relatively large in a frame image and should occur frequently in a scene. The moving object of interest should have different motion from camera motion. Moving object of interest are determined through spatial continuity by the AMOS method and moving histogram. Through experiments with diverse scenes, we found that the proposed method extracted almost all of the objects of interest selected by the user but its precision was 69% because of over-extraction.

Service Block Based Resource Allocation Scheme for Macrocell-Femtocell Networks

  • Lee, Jong-Chan;Lee, Moon-Ho
    • 한국컴퓨터정보학회논문지
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    • 제20권6호
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    • pp.29-35
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    • 2015
  • The heterogeneous LTE (Long Term Evolution)-Advanced networks comprising a macrocell and femtocells can provide an efficient solution not only to extend macrocell coverage but also to deal with packet traffics increasing explosively within macrocells. An efficient resource management scheme is necessary to maintain the QoS (Quality of Service) of mobile multimedia services because the LTE-Advanced system should support not only voice but also mobile applications such as data, image and video. This paper proposes a resource management scheme to guarantee QoS continuity of multimedia services and to maximize the resource utilization in OFDMA (Orthogonal Frequency Division Multiple Access) based LTE-Advanced systems. This scheme divides the resources into several service blocks and allocates those resources based on the competition between macrocell and femtocell. Simulation results show that it provides better performances than the conventional one in respect of handover failure rate and blocking rate.

An Experiment on Image Restoration Applying the Cycle Generative Adversarial Network to Partial Occlusion Kompsat-3A Image

  • Won, Taeyeon;Eo, Yang Dam
    • 대한원격탐사학회지
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    • 제38권1호
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    • pp.33-43
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    • 2022
  • This study presents a method to restore an optical satellite image with distortion and occlusion due to fog, haze, and clouds to one that minimizes degradation factors by referring to the same type of peripheral image. Specifically, the time and cost of re-photographing were reduced by partially occluding a region. To maintain the original image's pixel value as much as possible and to maintain restored and unrestored area continuity, a simulation restoration technique modified with the Cycle Generative Adversarial Network (CycleGAN) method was developed. The accuracy of the simulated image was analyzed by comparing CycleGAN and histogram matching, as well as the pixel value distribution, with the original image. The results show that for Site 1 (out of three sites), the root mean square error and R2 of CycleGAN were 169.36 and 0.9917, respectively, showing lower errors than those for histogram matching (170.43 and 0.9896, respectively). Further, comparison of the mean and standard deviation values of images simulated by CycleGAN and histogram matching with the ground truth pixel values confirmed the CycleGAN methodology as being closer to the ground truth value. Even for the histogram distribution of the simulated images, CycleGAN was closer to the ground truth than histogram matching.

Role of Consumer's Social Risk Perceptions in Retailing Private Label Brands

  • GANGWANI, Sanjeevni;MATHUR, Meenu;ABDULAZIZ ALEESA, Abeer
    • The Journal of Asian Finance, Economics and Business
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    • 제8권2호
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    • pp.1063-1070
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    • 2021
  • The study aims to investigate the role of consumer's social risk perceptions in retailing private label brands. Since private label brands are exclusively available at retail stores, consumers make their purchase decisions regarding them based on the image of that retail outlet. While buying them, risk perceptions are influenced by the retail store's image. The study identifies various retail store dimensions. For this purpose, primary data was collected using a survey questionnaire that was administered to a representative sample of retail store consumers in Riyadh. The data was analyzed and exploratory factor analysis was applied using SPSS 25 version to extract store image dimensions. The results showed six significant dimensions of retail store image namely 'Sales Staff', 'Promotion', 'Store Environment', 'Store Services', 'Product Assortment', and 'Customer Convenience'. Regression Analysis was performed and the effect of these retail store image dimensions was tested on social risk perceptions of consumers. Results indicate that store image dimensions significantly influence consumer's perceived social risk perceptions. However, the relationship is not consistent across all the six identified store image dimensions. The study brings forth several valuable consumer insights and the findings of the study have some very interesting and practical implications for retailers.

파사드의 형태적 연속성에 따른 색채분석 (The Color Analysis Based on Formative Continuity of the Facade)

  • 송인호
    • 디자인학연구
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    • 제13권3호
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    • pp.245-252
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    • 2000
  • 건축물의 파사드는 상업공간인 경우, 매장의 일부이며 가로공간을 구성하고 있는 중요한 요소로서의 역할을 하고 있다. 따라서 그 기능적인 문제와 표현상의 문제를 다루는데 있어서 매장과 가로공간의 양측면을 고려하지 않으면 안된다. 본 연구는 도시의 가로 공간의 구성요소인 파사드와 색채의 상호연관성의 고찰을 통하여 사인물을 비롯한 매장의 디자인 나아가 건축디자인의 색채계획에 있어 형태적 특성에 따른 접근 방법과 방향성을 제시하고자 한다. 이에 개별 건축물의 특성보다는 2차원적인 건축물의 입면이 연속적으로 구성되어 있는 명동을 조사대상지역으로 선정하고 입면 유형에 따른 종횡방향의 연속성과 입면 구성요소의 색채분석을 실시하여 상호 관련성을 규명하였다. 앞으로 도시환경의 색채계획은 결론에서 제시하고 있는 개개의 강조보다는 건축물의 형태적 특성에서 비롯되는 관련성을 고려한 전체 틀 속에서 검토되어야하며, 이는 곧 쾌적한 도시환경을 창조하는 실마리가 될 수 있는 것이다.

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소셜 미디어에서 경험하는 다양한 연령의 이미지가 미래 자기 연결성 및 지연 보상 선택에 미치는 영향: 20대 여성을 중심으로 (How Age Diverse Images on Social Media Influence Self-continuity and Impatience in Intertemporal Preference: Focusing on Women in 20s)

  • 임지은
    • 한국심리학회지 : 문화 및 사회문제
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    • 제27권2호
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    • pp.191-216
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    • 2021
  • 자신의 미래 시간을 느끼는 정도는 그 사람의 다양한 행동에 영향을 미친다. 특히 미래를 대비하는 행동인 저축, 혹은 미래에 상관없이 지금 감정에 맞춰 행동하는 충동구매 등 다양한 소비행동이 미래 시간 인식과 맞닿아 있다. 본 연구는 미래 자기 연결성에 초점을 맞춰 현재와 미래의 자기가 이어져 있다고 느끼는 정도가 소셜 미디어에서 제공되는 이미지를 통해 얼마나 변화하는지 살펴보고자했다. 그리고 이 변화를 통해 실제 지연 보상 선택 경향성, 즉 미래의 큰 보상을 위해 현재의 쾌락적 선택을 포기하는 정도가 얼마나 늘어나는지 알아보고자 했다. 또한 이 관계가 노년에 대한 긍정적 지각과 성향적 낙관성에 따라 변화할 지를 측정하였다. 연구 결과, 다양한 나이의 사람들을 SNS를 통해 보여주는 것은 실제 참여자(20대)의 미래 자기 연결성과 소비 선택에서의 인내심을 증가시켰다. 또한 이 관계는 나이 듦에 대한 인식 수준에 따라 변화하였다.

수평 및 수직 윤곽선을 개선한 적응 주사선 보간 알고리즘에 관한 연구 (A study of the adaptive de-interlacing up-conversions for enhancement horizontal and vertical edges)

  • 배준석;박노경;문대철
    • 전자공학회논문지S
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    • 제35S권2호
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    • pp.114-125
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    • 1998
  • In this study, for the first time, we propose the ADI(Adaptive De-Interlacing) algorithm, which improves visually and subjectively, horizontal and vertical edges on the image processed by the ELA (Edge Based Line Average) method. The proposed ADI algorithm enlargesthe window size to 5*3 in order to utilize the feature of the continuity of edges, and the adaptive interpolator is employed to decide adaptiely horizontal, diagonal, and vertical edges. Based on the results of the compter simulation, it is confimed that the new ADI algorithm improve the PSNR by 0.5dB in the Lena image with 512*512 size and by 0.4dB in the sequence image of a salesman, respectively. For the horizontal and vertial edges on the still and salesman sequence images, the proposed ADI algorithm has better visulal improvement than the conventional ELA algorithm.

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