• 제목/요약/키워드: Computational imaging

검색결과 249건 처리시간 0.028초

Neighboring Elemental Image Exemplar Based Inpainting for Computational Integral Imaging Reconstruction with Partial Occlusion

  • Ko, Bumseok;Lee, Byung-Gook;Lee, Sukho
    • Journal of the Optical Society of Korea
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    • 제19권4호
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    • pp.390-396
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    • 2015
  • We propose a partial occlusion removal method for computational integral imaging reconstruction (CIIR) based on the usage of the exemplar based inpainting technique. The proposed method is an improved version of the original linear inpainting based CIIR (LI-CIIR), which uses the inpainting technique to fill in the data missing region. The LI-CIIR shows good results for images which contain objects with smooth surfaces. However, if the object has a textured surface, the result of the LI-CIIR deteriorates, since the linear inpainting cannot recover the textured data in the data missing region well. In this work, we utilize the exemplar based inpainting to fill in the textured data in the data missing region. We call the proposed method the neighboring elemental image exemplar based inpainting (NEI-exemplar inpainting) method, since it uses sources from neighboring elemental images to fill in the data missing region. Furthermore, we also propose an automatic occluding region extraction method based on the use of the mutual constraint using depth estimation (MC-DE) and the level set based bimodal segmentation. Experimental results show the validity of the proposed system.

합성 촬영 집적 영상의 신호 모델 해석 방법 (Analysis method of signal model for synthetic aperture integral imaging)

  • 유훈
    • 한국정보통신학회논문지
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    • 제14권11호
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    • pp.2563-2568
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    • 2010
  • 합성 촬영 집적 영상 (synthetic aperture integral imaging; SAII) 기술은 하나의 카메라를 이동하여 3D 물체에 대한 다시점 영상을 획득하여 깊이 정보의 3D 영상을 복원이 가능한 기술이다. 이 방법은 크게 3D 물체의 요소 영상을 픽업하는 과정과 픽업된 요소 영상을 이용하여 컴퓨터 기반으로 3D 깊이 영상들을 복원하는 두 과정으로 나눈다. 본 논문에서는 이 SAII에 대한 신호 모델을 설명하고, 이를 통하여 발생하는 잡음을 정의하고 해석하였다. SAII에 대한 신호해석을 통하여 다시점 영상을 얻기 위한 카메라 이동 거리를 줄임으로써 영상 잡음감소와 계산 속도 개선을 동시에 얻을 수 있음을 보고한다.

POLAR EXPONENTIAL GRID와 장방형격자 영상시스템의 영상분해도 및 영상처리능력 비교 (A Comparison of System Performances Between Rectangular and Polar Exponential Grid Imaging System)

  • Jae Kwon Eem
    • 전자공학회논문지B
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    • 제31B권2호
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    • pp.69-79
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    • 1994
  • The conventional machine vision system which has uniform rectangular grid requires tremendous amount of computation for processing and analysing an image especially in 2-D image transfermations such as scaling, rotation and 3-D reconvery problem typical in robot application environment. In this study, the imaging system with nonuiformly distributed image sensors simulating human visual system, referred to as Ploar Exponential Grid(PEG), is compared with the existing conventional uniform rectangular grid system in terms of image resolution and computational complexity. By mimicking the geometric structure of the PEG sensor cell, we obtained PEG-like images using computer simulation. With the images obtained from the simulation, image resolution of the two systems are compared and some basic image processing tasks such as image scaling and rotation are implemented based on the PEG sensor system to examine its performance. Furthermore Fourier transform of PEG image is described and implemented in image analysis point of view. Also, the range and heading-angle measurement errors usually encountered in 3-D coordinates recovery with stereo camera system are claculated based on the PEG sensor system and compared with those obtained from the uniform rectangular grid system. In fact, the PEC imaging system not only reduces the computational requirements but also has scale and rotational invariance property in Fourier spectrum. Hence the PEG system has more suitable image coordinate system for image scaling, rotation, and image recognition problem. The range and heading-angle measurement errors with PEG system are less than those of uniform rectangular rectangular grid system in practical measurement range.

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3D 아바타 동작의 선택 제어를 통한 감정 표현 (Emotional Expression through the Selection Control of Gestures of a 3D Avatar)

  • 이지혜;진영훈;채영호
    • 한국CDE학회논문집
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    • 제19권4호
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    • pp.443-454
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    • 2014
  • In this paper, an intuitive emotional expression of the 3D avatar is presented. Using the motion selection control of 3D avatar, an easy-to-use communication which is more intuitive than emoticon is possible. 12 pieces different emotions of avatar are classified as positive emotions such as cheers, impressive, joy, welcoming, fun, pleasure and negative emotions of anger, jealousy, wrath, frustration, sadness, loneliness. The combination of lower body motion is used to represent additional emotions of amusing, joyous, surprise, enthusiasm, glad, excite, sulk, discomfort, irritation, embarrassment, anxiety, sorrow. In order to get the realistic human posture, BVH format of motion capture data are used and the synthesis of BVH file data are implemented by applying the proposed emotional expression rules of the 3D avatar.

Volumetric 집적영상에서 분산 추정을 이용한 심하게 은폐된 물체의 향상된 복원 (Enhanced Reconstruction of Heavy Occluded Objects Using Estimation of Variance in Volumetric Integral Imaging (VII))

  • 황용석;김은수
    • 한국광학회지
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    • 제19권6호
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    • pp.389-393
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    • 2008
  • 본 논문에서는 컴퓨터 집적영상(integral imaging(II))에서 분산 추정을 이용하여 심하게 은폐된 물체의 복원 시 은폐물(occluding object)의 블러링 효과를 제거하는 방법을 제안하였다. 하나의 요소영상(elemental image) 군으로부터 은폐 효과를 제거하여 복원된 영상의 선명도를 향상시키는 정보를 추출하는 방법을 분석하였다. 이를 실행하기 위해 픽업되는 요소영상들이 높은 해상도, 낮은 초점오차(focus error), 큰 깊이감을 가질 필요가 있다. 요소 영상을 픽업할 때 디지털 컴퓨터를 이용한 synthetic aperture integral imaging(SAII)이 채택되었다. 컴퓨터(Computational) II에서는 복원 면의 위치에 따라 복원되는 영상의 촛첨이 맺히는 영역이 달라진다. 심하게 은폐된 물체 영상의 복원은 은폐 물체의 블러링(bluring) 효과가 복원 면에 전체적으로 크게 나타나기 때문에 선명한 복원을 할 수가 없다. 이러한 은폐물의 블러링 효과가 제거된 복원 영상을 얻기 위해 분산 추정이라는 통계적인 방법이 채택되었다.

렌즈배열 모델을 적용한 3차원 집적영상 기술에서의 컴퓨터적 시점 재생 방법 (Computational view-point reconstruction method in three-dimensional integral imaging using lenslet array model)

  • 신동학;권영만;김은수
    • 한국정보통신학회논문지
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    • 제10권10호
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    • pp.1848-1853
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    • 2006
  • 본 논문에서는 3차원 집적 영상 기술에서 렌즈배열 모델을 적용하여 컴퓨터적으로 해상도가 개선된 3차원 영상을 재생하는 방법을 제안하고, 그 성능을 분석한다. 기존의 보고된 컴퓨터 적 시점 재생 방법은 핀홀 배열 모델에 기초하지만, 제안하는 방법은 렌즈 배열 모델을 적용하기 때문에 동일한 요소영상에서 다수의 픽셀을 추출하여 높은 해상도를 얻을 수 있다. 제안한 방법의 유용함을 보이기 위해 기초적인 실험을 수행하고 그 결과를 보고한다.

Biomedical Engineering Research on Circulatory Disorders

  • Yoo Jung-Yul;Park, Jae-Hyung;Suh Sang-Ho;Shim Eun-Bo;Rhee Kye-Han;Shin, Se-Hyun;Cho, Young-I.;Kim, C. Sean;Roh, Hyung-Woon
    • International Journal of Vascular Biomedical Engineering
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    • 제2권1호
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    • pp.1-10
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    • 2004
  • Circulatory disease is the number two cause of death next to cancer in Korea, while the cardiovascular disease alone is the number one cause of death in the US. In the present article, some background, current status and future prospects of biomedical engineering esearch on circulatory disorders are discussed in terms of the origin of atherosclerosis, computational fluid dynamics and medical imaging techniques, clinical treatments and fluid dynamics, advances in stents, hemodynamic analysis of artificial heart, and artificial blood. In particular, the importance of close collaboration of medicine and fluids engineering is emphasized.

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Computational Integral Imaging with Enhanced Depth Sensitivity

  • Baasantseren, Ganbat;Park, Jae-Hyeung;Kim, Nam;Kwon, Ki-Chul
    • Journal of Information Display
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    • 제10권1호
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    • pp.1-5
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    • 2009
  • A novel computational integral imaging technique with enhanced depth sensitivity is proposed. For each lateral position at a given depth plane, the dissimilarity between corresponding pixels of the elemental images is measured and used as a suppressing factor for that position. The intensity values are aggregated to determine the correct depth plane of each plane object. The experimental and simulation results show that the reconstructed depth image on the incorrect depth plane is effectively suppressed, and that the depth image on the correct depth plane is reconstructed clearly without any noise. The correct depth plane is also exactly determined.

계산 그리드 기반 의료영상 저장시스템 (Medical Image Storage System based on Computational Grid)

  • 안병규;박재현
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제15권10호
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    • pp.715-723
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    • 2009
  • 대형병원에서 환자의 치료와 진단을 목적으로 하루에 생산되는 의료영상의 발생량은 보다 정확하고 정밀한 진단이 요구되는 촬영장비와 네트워크 인프라의 발달로 나날이 증가하고 있으며, 앞으로 그런 추세는 계속 될 것이다. 따라서 기존방식의 PACS보다 성능이 개선된 시스템이 요구된다. 본 연구에서는 영상압축속도를 개선하기 위해, 계산그리드 기술을 이용하여, PACS의 부분시스템으로써, 의료영상압축 저장시스템을 설계 구현하였다. 제안된 시스템의 시작품을 사용한 실험을 통해, 처리기들이 추가됨에 따라 성능이 향상됨을 확인하였다.

Recent advances in spatially resolved transcriptomics: challenges and opportunities

  • Lee, Jongwon;Yoo, Minsu;Choi, Jungmin
    • BMB Reports
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    • 제55권3호
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    • pp.113-124
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    • 2022
  • Single-cell RNA sequencing (scRNA-seq) has greatly advanced our understanding of cellular heterogeneity by profiling individual cell transcriptomes. However, cell dissociation from the tissue structure causes a loss of spatial information, which hinders the identification of intercellular communication networks and global transcriptional patterns present in the tissue architecture. To overcome this limitation, novel transcriptomic platforms that preserve spatial information have been actively developed. Significant achievements in imaging technologies have enabled in situ targeted transcriptomic profiling in single cells at single-molecule resolution. In addition, technologies based on mRNA capture followed by sequencing have made possible profiling of the genome-wide transcriptome at the 55-100 ㎛ resolution. Unfortunately, neither imaging-based technology nor capture-based method elucidates a complete picture of the spatial transcriptome in a tissue. Therefore, addressing specific biological questions requires balancing experimental throughput and spatial resolution, mandating the efforts to develop computational algorithms that are pivotal to circumvent technology-specific limitations. In this review, we focus on the current state-of-the-art spatially resolved transcriptomic technologies, describe their applications in a variety of biological domains, and explore recent discoveries demonstrating their enormous potential in biomedical research. We further highlight novel integrative computational methodologies with other data modalities that provide a framework to derive biological insight into heterogeneous and complex tissue organization.