• 제목/요약/키워드: Depth enhancement

검색결과 277건 처리시간 0.019초

스마트미디어를 위한 입체 영상의 깊이맵 화질 향상 및 업샘플링 기술 (Depth Map Enhancement and Up-sampling Techniques of 3D Images for the Smart Media)

  • 정재일;호요성
    • 스마트미디어저널
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    • 제1권3호
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    • pp.22-28
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    • 2012
  • 스마트미디어가 보편화되면서 고화질의 3차원 영상과 깊이맵에 대한 필요성이 대두되고 있지만, 현재 기술로는 완벽한 깊이맵을 직접 획득하는 것이 불가능하다. 스테레오 정합으로 획득된 깊이맵은 모호한 텍스처를 갖는 영역에서 낮은 정확도를 가지며, 깊이 카메라를 통해 직접 깊이맵을 획득한 경우에는 센서 잡음이나 낮은 해상도 등의 문제가 발생하게 된다. 본 논문에서는 이미 획득된 깊이맵의 화질을 향상시키거나 고해상도로 변환하는 기술 동향을 살펴본다. 초기에 개발된 깊이맵만을 이용한 기술부터 대응되는 색상 영상 정보를 함께 이용한 기술을 소개하고, 최근 활발히 연구되고 있는 복합형 카메라를 이용하여 깊이맵 화질을 향상시키는 기술을 자세히 살펴본다.

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Growth Rate and Biomass Productivity of Chlorella as Affected by Culture Depth and Cell Density in an Open Circular Photobioreactor

  • Liang, Fang;Wen, Xiaobin;Geng, Yahong;Ouyang, Zhengrong;Luo, Liming;Li, Yeguang
    • Journal of Microbiology and Biotechnology
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    • 제23권4호
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    • pp.539-544
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    • 2013
  • The effects of culture depth (2-10 cm) and cell density on the growth rate and biomass productivity of Chlorella sp. XQ-200419 were investigated through the use of a self-designed open circular pond photobioreactor-imitation system. With increases in culture depths from 2 to 10 cm, the growth rate decreased significantly from 1.08 /d to 0.39 /d. However, the biomass productivity only increased slightly from 8.41 to 11.22 $g/m^2/d$. The biomass productivity (11.08 $g/m^2/d$) achieved in 4 cm culture with an initial $OD_{540}$ of 0.95 was similar to that achieved in 10 cm culture with an initial $OD_{540}$ of 0.5. In addition, the duration of maximal areal productivity at a 4 cm depth was prolonged from 1 to 4 days, a finding that was also similar to that of the culture at a 10 cm depth. In both cases, the initial areal biomass densities were identical. Based on these results and previous studies, it can be concluded that the influence of culture depth and cell density on areal biomass productivity is actually due to different areal biomass densities. Under suitable conditions, there are a range of optimal biomass densities, and areal biomass productivity reaches its maximum when the biomass density is within these optimal ranges. Otherwise, biomass productivity will decrease. Therefore, a key factor for high biomass productivity is to maintain an optimal biomass density.

Color-Image Guided Depth Map Super-Resolution Based on Iterative Depth Feature Enhancement

  • Lijun Zhao;Ke Wang;Jinjing, Zhang;Jialong Zhang;Anhong Wang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권8호
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    • pp.2068-2082
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    • 2023
  • With the rapid development of deep learning, Depth Map Super-Resolution (DMSR) method has achieved more advanced performances. However, when the upsampling rate is very large, it is difficult to capture the structural consistency between color features and depth features by these DMSR methods. Therefore, we propose a color-image guided DMSR method based on iterative depth feature enhancement. Considering the feature difference between high-quality color features and low-quality depth features, we propose to decompose the depth features into High-Frequency (HF) and Low-Frequency (LF) components. Due to structural homogeneity of depth HF components and HF color features, only HF color features are used to enhance the depth HF features without using the LF color features. Before the HF and LF depth feature decomposition, the LF component of the previous depth decomposition and the updated HF component are combined together. After decomposing and reorganizing recursively-updated features, we combine all the depth LF features with the final updated depth HF features to obtain the enhanced-depth features. Next, the enhanced-depth features are input into the multistage depth map fusion reconstruction block, in which the cross enhancement module is introduced into the reconstruction block to fully mine the spatial correlation of depth map by interleaving various features between different convolution groups. Experimental results can show that the two objective assessments of root mean square error and mean absolute deviation of the proposed method are superior to those of many latest DMSR methods.

Failure mechanism and bearing capacity of inclined skirted footings

  • Rajesh P. Shukla;Ravi S. Jakka
    • Geomechanics and Engineering
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    • 제35권1호
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    • pp.41-54
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    • 2023
  • The use of a skirt, a vertical projection attached to the footing, is a recently developed method to increase the bearing capacity of soils and reduce foundation settlements. Most of the studies were focused on vertical skirted circular footings resting on clay while neglecting the rigidity and inclination of skirts. This study employs finite element limit analysis to investigate the bearing capacity enhancement of flexible and rigid inclined skirts in cohesionless soils. The results indicate that the bearing capacity initially improves with an increase in the skirt inclination but subsequently decreases for both flexible and rigid skirts. However, the rigid skirt exhibits more apparent optimum skirt inclination and bearing capacity enhancement than the flexible one, owing to differences in their failure mechanisms. Furthermore, the bearing capacity of the inclined skirted foundation increases with the skirt length, footing depth, and internal friction angle of the soil. In the case of rigid skirts, the bearing capacity increases linearly with skirt length, while for flexible skirts, it reaches a stable value at a certain skirt length. The efficiency of the flexible footing reduces as the footing depth and soil internal friction angle increase. Conversely, the efficiency of the rigid skirt decreases only with an increase in the depth of the footing. The paper also presents a detailed analysis of various failure patterns, highlighting the behaviour of inclined skirted footings. Additionally, nonlinear regression equations are provided to quantify and predict the bearing capacity enhancement with the inclined skirts.

컬러 및 깊이 데이터 변환을 이용하는 입체감 향상 (Stereoscopic Perception Improvement Using Color and Depth Transformation)

  • 길종인;장성은;서주하;김만배
    • 방송공학회논문지
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    • 제16권4호
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    • pp.584-595
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    • 2011
  • 최근 RGB 영상과 깊이맵이 동시에 제작되어 공급되고 있다. 깊이맵은 사용자의 용도에 따라 다양한 형태로 변환되어 입체영상 제작에 사용된다. 깊이맵을 활용하는 기법이 새로이 소개되고 있는데, 한 예로 의료 분야에서 2D 영상의 컬러를 변환하여 지각 깊이감을 개선하는 영상처리 기술에 대한 관심이 높아지고 있다. 본 논문에서는 기존의 컬러 변환을 통한 2D 영상의 지각 깊이감 개선을 입체영상에 적용하여, 3D 지각 깊이감을 동시에 향상시키는 방법을 제안한다. 이를 위해 대조 변환 및 배경 다크닝 방법을 제안하고, 실험을 통해 제안 방법이 상기 목적을 얻을 수 있는 것을 검증하였다. 주관적 실험에서는 입체감 향상 및 피로도 측정을 통해 제안 방법의 성능 및 단점을 제시하였다.

MOLECULAR FORMATION IN SUNSPOTS

  • Lee, H.M.;Kim, D.W.;Yun, H.S.;Beebe, R.;Davis, R.
    • 천문학회지
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    • 제14권1호
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    • pp.19-35
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    • 1981
  • Calculations of molecular number densities as a function of optical depth in selected umbral, penumbral and photospheric models predict penumbral enhancement of diatomic molecules containing carbon atoms, strong umbral enhancement of oxides, and moderate umbral enhancement of hydrides. The role of CO formation in an oxygen rich atmosphere is discussed.

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계층 간 CU 깊이 예측을 이용한 HEVC SVC 고속 부호화 방법 (Complexity Reduction Method Using Inter-layer CU Depth Information for Scalable Video Coding Base on HEVC)

  • 장형문;남정학;심동규
    • 방송공학회논문지
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    • 제17권5호
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    • pp.765-780
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    • 2012
  • 본 논문은 차세대 압축 표준(high efficiency video coding; HEVC)을 기반으로 하는 계층 간 비디오 압축 코덱의 부호화 속도 향상을 위하여 참조 계층 CU(coding unit) 깊이정보를 참조하여 향상 계층의 CU깊이를 고속으로 결정하는 방법을 제안한다. 향상 계층의 CU깊이를 예측하기 위해 먼저, 참조 계층의 대응 CU의 깊이 정보를 참조 한다. 이때, 참조 깊이 기준으로 -1부터 +1까지의 CU깊이에 대한 RDcost만을 계산하여 향상 계층의 최종 CU깊이를 결정한다. 제안하는 방법을 이용하여 향상 계층의 모든 CU깊이에 대한 율-왜곡 최적화(rate-distortion optimization) 과정을 거치지 않고 최종 CU깊이를 결정하기 때문에 계산 복잡도 감소 효과를 얻을 수 있다. 제안하는 방법의 고속화 성능을 평가하기 위해 HM 4.0 기반의 simulcast 계층 간 부호화기를 이용한 결과 제안하는 알고리듬을 적용하지 않은 경우 대비 약 1.4% 정도 이내의 적은 비트율 증가에도 불구하고, 약 26%의 계산 복잡도 감소 효과를 얻을 수 있었다.

공간주파수대역에서 기저대역 확장을 통한 원전 대비시험편과 대비 보정 시험편의 초음파 영상 개선 (Ultrasonic Images Enhancement of the SS Reference Specimen and the Reference Calibration Block for NPPs by the Combining Bases of Support for Spatial Frequency)

  • 박치승;김선진
    • 한국재료학회지
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    • 제13권10호
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    • pp.651-657
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    • 2003
  • Ultrasonic microscope has been used to detect the defects on surface or inner solid. Conventionally, it has used at a single operating frequency. The resolution and quality of the measured images are determined by a characteristic of the transducer of the ultrasonic microscope. The conventional ultrasonic microscope has been used envelope detector to detect the amplitude of reflected signal, but the changes in amplitude is not sensitive enough for specimen with microstructure that in phase. In this paper, we have studied multi-frequency depth resolution enhancement with ultrasonic reflection microscope for the reflectors of a stainless steel reference specimen and a reference calibration block to be used as the material in nuclear power plants for ISI, PSI. Increased depth resolution can be obtained by taking two, three-dimensional images at more that one frequency and numerically combining the results. As results of the experiment, we could get enhanced images with the rate of contrast in proportion and high quality signal distribution for the image to the changing rate of depth for the reflectors of the two kinds of specimens.

Depth-adaptive Sharpness Adjustments for Stereoscopic Perception Improvement and Hardware Implementation

  • Kim, Hak Gu;Kang, Jin Ku;Song, Byung Cheol
    • IEIE Transactions on Smart Processing and Computing
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    • 제3권3호
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    • pp.110-117
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    • 2014
  • This paper reports a depth-adaptive sharpness adjustment algorithm for stereoscopic perception improvement, and presents its field-programmable gate array (FPGA) implementation results. The first step of the proposed algorithm was to estimate the depth information of an input stereo video on a block basis. Second, the objects in the input video were segmented according to their depths. Third, the sharpness of the foreground objects was enhanced and that of the background was maintained or weakened. This paper proposes a new sharpness enhancement algorithm to suppress visually annoying artifacts, such as jagging and halos. The simulation results show that the proposed algorithm can improve stereoscopic perception without intentional depth adjustments. In addition, the hardware architecture of the proposed algorithm was designed and implemented on a general-purpose FPGA board. Real-time processing for full high-definition stereo videos was accomplished using 30,278 look-up tables, 24,553 registers, and 1,794,297 bits of memory at an operating frequency of 200MHz.

GPGPU 기반의 깊이 영상 화질 개선 기법 (GPGPU based Depth Image Enhancement Algorithm)

  • 한재영;고진웅;유지상
    • 한국정보통신학회논문지
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    • 제17권12호
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    • pp.2927-2936
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    • 2013
  • 본 논문에서는 3D 콘텐츠 생성 시 필요한 깊이 영상의 화질 개선을 위하여 잡음 제거 기법과 홀 채움 기법을 제안한다. 제안하는 기법에서는 컬러 영상과 깊이 영상을 모두 이용하게 된다. 먼저 입력된 컬러 영상을 RGB 색상계에서 HSI 색상계로 변환하여 밝기 영상을 생성한다. 그리고 깊이 영상에서 기준 화소와 주변 화소간의 거리 값, 깊이 값의 차이를 구하고 컬러 영상의 밝기 값 차이를 계산하여 제안하는 잡음 제거 기법에 이용한다. 이후 홀을 탐색하여 홀과 주변 화소간의 거리, 컬러 영상의 밝기 값 차이를 제안하는 홀 채움 기법을 적용하여 깊이 영상 내에 존재하는 홀을 채우게 된다. 마지막으로 실시간 환경에 적용하기 위하여 제안하는 기법을 GPU로 병렬화하여 속도 향상을 하고자 하였다. 실험을 통하여 제안한 기법이 기존 기법에서 발생하는 경계 부분의 흐려짐 현상을 줄이면서 홀을 채우는 것을 확인하였다.