• Title/Summary/Keyword: residual 영상

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Development of a Proton Computed Tomography System with Monte Carlo Simulation (양성자 전산화 단층 촬영 장치 개발에 관한 전산모사 연구)

  • Seo, Jeong-Min;Kim, Chan-Hyeong
    • Journal of radiological science and technology
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    • v.34 no.3
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    • pp.215-219
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    • 2011
  • Monte Carlo simulation was performed to investigate optimal system of proton computed tomography and to avoid the errors by using data from X ray computed tomography in proton therapy. The informations from two DSSDs to measure position and LYSO scintillation detector to measure the residual energy of proton particle in GEANT4 were used for reconstruction computed tomography.

Image Super-Resolution Using Deep Convolutional Neural Networks Based on Residual Blocks (잔차 블록 기반의 깊은 합성곱 신경망을 통한 단일 영상 초해상도 복원)

  • Kim, Ingu;Yu, Songhyun;Jeong, Jaechang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2018.11a
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    • pp.62-65
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    • 2018
  • 신경망은 깊어질수록 gradient vanishing/exploding과 같은 네트워크가 불안정해지는 문제가 발생 한다. 잔차 블록을 이용하여 이러한 문제를 해결 할 수 있다. 본 논문에서는 영상 인식 분야에서 훌륭한 성능을 보여준 잔차 블록 기반의 깊은 합성곱 신경망을 통한 단일 영상 초해상도 복원 기법을 제안 한다. 제안한 알고리듬은 EDSR에 사용된 잔차 블록을 다양한 크기의 합성곱 연산을 통해 영상의 특징들을 다르게 분석하도록 수정하고 VDSR과 비슷한 수준의 복잡도로 구성하여 향상된 성능을 얻었다. 실험 결과, VDSR에 비해 PSNR이 최대 0.1dB까지 증가했다.

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Sparse Depth Image Completion Network with nearest neighbor kernel estimation (최근접 이웃 커널 추정을 통한 희소 깊이 영상 완성 네트워크)

  • Jeong, TaeHyun;Oh, Byung Tae
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2022.06a
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    • pp.1350-1352
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    • 2022
  • 본 논문에서는 희소깊이영상과 컬러영상을 이용해 조밀한 깊이영상을 추정하는 깊이 완성(depth completion)을 수행하기위해 최근접 이웃 커널을 추정하는 방식의 네트워크를 제안한다. 회귀방식의 딥러닝 네트워크는 일반적으로 값을 직접 예측하는 것보다 기본 값에 더해질 잔차를 추정하는 방식이 더욱 효율적이다. 본 논문에서는 최근접 이웃 커널을 입력영상에 적용하여 추정하고자 하는 픽셀의 인근 픽셀에서 값을 가져와 기본 값으로 사용하고, 해당 값의 잔차를 회귀방식으로 추정하는 네트워크를 설계했다. 이러한 방식으로 여러 SOTA 알고리즘 대비 좋은 성능을 나타냈고, 특히 이와 유사한 방식인 Plane-residual net 보다 높은 성능을 보여준다.

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Thumbnail Generation at Progressive Mode of H.264/AVC (H.264/AVC의 Progressive Mode에서 Thumbnail 영상 생성)

  • Oh, Hyung-Suk;Kim, Won-Ha
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.1
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    • pp.23-32
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    • 2011
  • In this paper, we develop a method for generating thumbnail images at hybrid domain combined the spatial domain and transform domain. The proposed method generates a pixel of a thumbnail image by adding a DC value of residual transform coefficients and an average value of an estimate block. For effectively calculating average values of estimate blocks, we propose a method for reconstructing the boundary pixels of a block. In comparison to the conventional method of decoding the bit stream then scaling down the decoded images, the developed method reduces the complexity by more than 60% while producing identical thumbnail images.

Adaptive Inter-layer Filter Selection Mechanism for Improved Scalable Extensions of High Efficiency Video Coding (SHVC) (스케일러블 HEVC 부호화 효율 개선을 위한 계층 간 적응적 필터 선택 알고리즘)

  • Lee, Jong-Hyeok;Kim, Byung-Gyu
    • Journal of Digital Contents Society
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    • v.18 no.1
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    • pp.141-147
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    • 2017
  • Scalable extension of High Efficiency Video Coding (SHVC) standard uses the up-sampled residual data from the base layer to make a residual data in the enhancement layer. This paper describes an efficient algorithm for improving coding gain by using the filtered residual signal of base layer in the Scalable extension of High Efficiency Video Coding (SHVC). The proposed adaptive filter selection mechanism uses the smoothing and sharpening filters to enhance the quality of inter-layer prediction. Based on two filters and the existing up-sampling filter, a rate-distortion (RD)-cost fuction-based competitive scheme is proposed to get better quality of video. Experimental results showed that average BD-rate gains of 1.5%, 2.1%, and 1.7% for Y, U and V components, respectively, were achieved, compared with SHVC reference software 5.0, which is based on HEVC reference model (HM) 13.

Application of Remote Sensing Technique to Enhance the Water Quality Model Validation in a Large Water Body (원격탐사를 이용한 대형 수체의 수질 모델 검증 효과 제고 방안에 관한 연구)

  • Lim, Hyun-Ju;Choi, Jung-Hyun;Park, Seok-Soon
    • Journal of Korean Society of Environmental Engineers
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    • v.28 no.4
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    • pp.447-452
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    • 2006
  • The remote sensing technique was applied to enhance the water qualify model validation in a large water body. Since the satellite image usually covers the wide surface area of a large water body, it can compensate for the lark of measured data points required for model calibration and verification. This paper describes the analysis of Landsat FTM+images collected on April 29th and September 4th in year 2000 to evaluate surface water temperature of Lake Paldang. The water temperature data obtained from the satellite image were compared with model results by estimating three different methods of error criteria. The residual ratios on April 29th and September 4th were 0.13 and 0.04 respectively. This showed that the model result accords with the data obtained from the process of satellite image. Without considering atmospheric interference, however, transformation process of satellite image causes relatively large residual ratio in the surface water temperature distribution pattern on April 29th. In the future study, therefore, the atmospheric properties of image acquisition point needs to be considered for the application of radiance transformation model.

Constant Quality Motion Compensated Temporal Filtering Video Compression using Multi-block size Motion Estimation and SPECK (다중 블록 크기의 움직임 예측과 SPECK을 이용한 고정 화질 움직임 보상 시간영역 필터링 동영상 압축)

  • Park Sang-Ju
    • Journal of Broadcast Engineering
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    • v.11 no.2 s.31
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    • pp.153-163
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    • 2006
  • We propose a new video compression method based on MCTF(motion compensated temporal filtering) with constant quality. SPECK is an efficient image compression coding method of encoding DWT coefficients. Especially SPECK method is very efficient for coding the motion compensated residual image which usually has larger amounts of high frequency components than the natural images. And proposed multi block size hierarchical motion estimation technique is more efficient than classical block matching algorithm with fixed block size both in estimation precision and operation costs. Proposed video method based on MCTF video compression can also support multi-frame rate decoding with reasonable complexity. Simulation results showed that proposed method outperforms H.263 video compression standard.

Volumetric Image System for High Efficiency Video Coding (고효율 비디오코딩을 위한 입체영상시스템)

  • Kim, Sang Hyun
    • The Journal of the Korea Contents Association
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    • v.16 no.1
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    • pp.515-520
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    • 2016
  • Volumetric image system has many applications recently in education, 3D movie, medical images but these applications have several problems that need to be overcome. Volumetric display may process a amount of visual data and design the high efficient vision system for realtime display. In case of stereo system for volumetric display motion vectors, disparity vectors from the stereoscopic sequences and residual images with the reference images has been transmitted, and the stereoscopic sequences have been reconstructed at the receiver for volumetric display. So central issue for the design of efficient volumetric image system lies in selecting an appropriate stereo matching and robust vision system. In this paper, we proposed high efficient vision system, which design vision stage with rotating and moving horizontally, and match the successive stereo image efficiently. In experimental results with volumetric image system, the proposed method represents high efficiency with minimizing error and low computational load for volumetric display.

Efficient Entropy Coding Method for Scalable Video Coding (스케일러블 비디오 부호화를 위한 효율적인 엔트로피 부호화 방법)

  • Choi, Hyo-Min;Nam, Jung-Hak;Sim, Dong-Gyu;Choi, Byeong-Doo;Cho, Dae-Sung
    • Journal of Broadcast Engineering
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    • v.15 no.5
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    • pp.653-664
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    • 2010
  • Generally existing video codec employs entropy coding to deal with residual signals with considering temporal and spatial properties. Scalable Video Coding(SVC) which is extension of H.264/AVC has three technical concepts for removing redundancies between inter-layers. In spite of using novel prediction method between inter-layers in SVC, it is still using same entropy coding method to residual signals. According to the studies, the residual obtained by inter-layer prediction technique has different features of residual signal acquired by spatial or temporal prediction technique. In this paper, we propose an efficient entropy coding method which codes the residual signal obtained by inter-layer prediction with regarding its features adequately. We re-designed the Coded Block Pattern(CBP) table suitably for inter-layer texture prediction. The experiments show that the proposed method can further reduce the BD-Bitrate up to average 2.20% in 4CIF and 1.14% in CIF resolution compared to the existing JSVM 9.18.