• 제목/요약/키워드: image blur

검색결과 222건 처리시간 0.027초

Novel Frame Interpolation Method for High Image Quality LCDs

  • Itoh, Goh;Mishima, Nao
    • Journal of Information Display
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    • 제5권3호
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    • pp.1-7
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    • 2004
  • We developed a novel frame interpolation method to interpolate a frame between two successive original frames. Using this method, we are able to apply a double-rate driving method instead of an impulse driving method where a black frame is inserted between two successive original frames. The double-rate driving method enables amelioration of the motion blur of LCDs caused by the characteristics of human vision without reducing the luminosity of the whole screen. The image quality of the double-rate driving method was also found to be better than that of an impulse driving method using our motion picture simulator and an actual panel. Our initial model of our frame interpolation method consists of motion estimation with a maximum matching pixel count estimation function, an area segmentation technique, and motion compensation with variable segmentation threshold. Although salt and pepper noise remained in a portion of an object mainly due to inaccuracy of motion estimation, we verified the validity of our method and the possibility of improvement in hold-type motion blurring.

Precise Edge Detection Method Using Sigmoid Function in Blurry and Noisy Image for TFT-LCD 2D Critical Dimension Measurement

  • Lee, Seung Woo;Lee, Sin Yong;Pahk, Heui Jae
    • Current Optics and Photonics
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    • 제2권1호
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    • pp.69-78
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    • 2018
  • This paper presents a precise edge detection algorithm for the critical dimension (CD) measurement of a Thin-Film Transistor Liquid-Crystal Display (TFT-LCD) pattern. The sigmoid surface function is proposed to model the blurred step edge. This model can simultaneously find the position and geometry of the edge precisely. The nonlinear least squares fitting method (Levenberg-Marquardt method) is used to model the image intensity distribution into the proposed sigmoid blurred edge model. The suggested algorithm is verified by comparing the CD measurement repeatability from high-magnified blurry and noisy TFT-LCD images with those from the previous Laplacian of Gaussian (LoG) based sub-pixel edge detection algorithm and error function fitting method. The proposed fitting-based edge detection algorithm produces more precise results than the previous method. The suggested algorithm can be applied to in-line precision CD measurement for high-resolution display devices.

VIRTUAL VIEW RENDERING USING MULTIPLE STEREO IMAGES

  • Ham, Bum-Sub;Min, Dong-Bo;Sohn, Kwang-Hoon
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.233-237
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    • 2009
  • This paper represents a new approach which addresses quality degradation of a synthesized view, when a virtual camera moves forward. Generally, interpolation technique using only two neighboring views is used when a virtual view is synthesized. Because a size of the object increases when the virtual camera moves forward, most methods solved this by interpolation in order to synthesize a virtual view. However, as it generates a degraded view such as blurred images, we prevent a synthesized view from being blurred by using more cameras in multiview camera configuration. That is, we solve this by applying super-resolution concept which reconstructs a high resolution image from several low resolution images. Therefore, data fusion is executed by geometric warping using a disparity of the multiple images followed by deblur operation. Experimental results show that the image quality can further be improved by reducing blur in comparison with interpolation method.

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Visual perception of Fourier rainbow holographic display

  • Choo, Hyon-Gon;Chlipala, Maksymilian;Kozacki, Tomasz
    • ETRI Journal
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    • 제41권1호
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    • pp.42-51
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    • 2019
  • The rainbow hologram provides views of reconstruction with rainbow color within a large viewing zone. In our recent paper, a Fourier rainbow holographic display using diffraction grating and a white-light LED source was introduced. In this technique, the rainbow effect is realized by the dispersion of white-light source on diffraction grating, while the slit is implemented numerically by reducing the demands of the space-bandwidth product of the display. This paper presents a novel analysis on the visual perception of the Fourier rainbow holographic display using Wigner distribution. The view-dependent appearance of the image, including multispectral field of view and viewing zone, is investigated considering the observer and the display parameters. The resolution of the holographic view is also investigated. For this, a new quantitative assessment for image blur is introduced using Wigner distribution analysis. The analysis is supported with numerical simulations and experimentally captured optical reconstructions for the holograms of the computer model and real object generated with different slit size, reconstruction distance, and different observation conditions.

Respiratory Motion Correction on PET Images Based on 3D Convolutional Neural Network

  • Hou, Yibo;He, Jianfeng;She, Bo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권7호
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    • pp.2191-2208
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    • 2022
  • Motion blur in PET (Positron emission tomography) images induced by respiratory motion will reduce the quality of imaging. Although exiting methods have positive performance for respiratory motion correction in medical practice, there are still many aspects that can be improved. In this paper, an improved 3D unsupervised framework, Res-Voxel based on U-Net network was proposed for the motion correction. The Res-Voxel with multiple residual structure may improve the ability of predicting deformation field, and use a smaller convolution kernel to reduce the parameters of the model and decrease the amount of computation required. The proposed is tested on the simulated PET imaging data and the clinical data. Experimental results demonstrate that the proposed achieved Dice indices 93.81%, 81.75% and 75.10% on the simulated geometric phantom data, voxel phantom data and the clinical data respectively. It is demonstrated that the proposed method can improve the registration and correction performance of PET image.

다해상도 신호분석에 의한 방향성 추출을 통한 영상처리 (Image Processing Considering Directional Extraction by Multi-Resolution Signal Analysis.)

  • 전우상;김영길;한군희
    • 한국산학기술학회논문지
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    • 제11권10호
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    • pp.3928-3934
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    • 2010
  • 본 논문에서는 움직임에 의해 흐려지고 잡음으로 훼손된 영상에 대하여 영상전체에 일률적으로 복원처리를 행하는 기존의 적용방법들에서 나타나는 문제점을 해결하고자 영상의 국부적인 특성과 방향성을 고려한 복원방법을 제시한다. 이는 평면영역과 윤곽영역을 적응적으로 처리하기 위하여 윤곽의 방향성을 찾기 위하여 다해상도 신호분석인 Wavelet 계수를 적용하여 처리하는 방법을 제안한다.

Photographic Color Reproduction Based on Color Variation Characteristics of Digital Camera

  • Kim, Ui-Seong;Lee, Jong-Min;Kim, Yong-Min;Park, Ki-Tae;Moon, Young-Shik
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권11호
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    • pp.2160-2174
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    • 2011
  • In this paper, a new technique for color reproduction based on color variation characteristics of digital camera under a dim light condition is proposed. Generally, photographers should adjust a camera exposure properly for obtaining an image with real color tone of subjects. Thus, in case of taking a picture under a dim light condition, the exposure time of a camera has to be relatively longer than the one under a bright light condition. Although images with real color tone of the subject are obtained, the images may get blurred due to the shaky hands of photographer holding the camera. In order to avoid the blur effect, an input image is captured from a camera set as a short exposure time under a dim light condition. Then we propose a method to reproduce color tone of the dim input image. To this end, color variation characteristics which represent color variations of a digital camera are first extracted by analyzing the Macbeth color checker images taken under various exposure values. Then, a color reproduction is performed by an estimation based on the color variation characteristics. Experimental results have shown that the proposed method has achieved better performance of color reproduction, compared with existing methods.

관성센서를 이용한 스트랩다운 탐색기 훼손영상 복원기법 (Inertial Sensor Aided Motion Deblurring for Strapdown Image Seekers)

  • 김기승;나성웅
    • 한국항공우주학회지
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    • 제40권1호
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    • pp.43-48
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    • 2012
  • 본 논문에서는 스트랩다운 영상탐색기 개발을 위해 각속도계 정보를 이용한 실용적인 움직임 훼손영상 복원 필터링 기법을 제안한다. 각속도계 편향오차가 움직임 훼손을 기술하기 위한 점확산 함수 파라미터의 불확실성으로 작용한다는 점에 착안하여, 이를 놈 제한조건을 만족하는 파라미터 불확실성으로 가정한 후 움직임 훼손 영상을 불확정 선형 상태 공간 방정식으로 모델링한다. 각속도계 편향오차에 의한 파라미터 불확실성 행렬이 놈 제한 조건을 만족한다는 가정 하에, 순환 선형 강인 칼만필터에 기반한 움직임 훼손영상 복원필터가 설계된다. 실제 IR 영상을 이용하여 제안된 영상훼손 복원 필터가 각속도계 편향 오차가 존재하는 상황에서도 신뢰할만한 영상복원 성능을 제공함을 확인한다.

해상도 향상을 위한 고해상도 복원 알고리즘 연구 (A Study on High Resolution Reconstruction Algorithms for improving Resolution)

  • 백영현;문성룡
    • 한국지능시스템학회논문지
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    • 제17권1호
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    • pp.72-79
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    • 2007
  • 저해상도 영상 정보들 이용하여 고해상도 영상으로 재구성하는 새로운 고해상도 복원 알고리즘을 제안한다. 제안된 고해상도 복원 알고리즘은 super 해상도 이론을 바탕으로 구성되며, super 해상도는 정합과 복원의 순차적인 단계로 구성되어있다. 본 논문에서는 다해상도 분해를 통한 웨이브렛 기저와 하위픽셀이동을 통한 정합으로 많은 데이터 처리량과 잡음을 줄여 주요정보 유지와 에러율 개선하였다. 또한 복원단계에서는 퍼지 웨이브렛 B-스플라인 보간법을 이용하여 블러링과 블록화 현상이 없는 부드러운 영상과 해상도를 얻음을 확인하였다.

국부 훼손특성을 이용한 적응적 영상복원 (Adaptive Image Restoration Using Local Characteristics of Degradation)

  • 김태선;이태홍
    • 한국멀티미디어학회논문지
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    • 제3권4호
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    • pp.365-371
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    • 2000
  • 카메라의 렌즈 등 광학장비의 성능 제한으로 인하여 초점이 맞지 않아 흐려지고 잡음으로 훼손된 영상을 복원하는데 일반적으로 반복복원방법이 사용된다. 이 경우에 가속변수는 훼손영상에 관계없이 영상전체에 일률적으로 적용되기 때문에 흐려짐 훼손이 심한 윤곽부분도 훼손이 작은 평면영역과 같이 일정하게 처리되어 수렴속도가 느려지고 시각적으로 중요한 윤곽부분의 복원에는 효율적이지 못하다. 이러한 문제점을 해결하기 위하여 본 논문에서는 흐려짐 훼손이 작은 평면영역은 가속변수를 작게 하고 훼손이 큰 윤곽영역은 가속변수를 크게 하여 영상의 국부적인 훼손특성에 따라 적응적으로 반복 복원하는 방법을 제안하였다. 제안한 복원방법 은 기존의 방법과 비교하여 수렴속도가 빨라지고 시각적으로 중요한 윤곽부분의 복원에도 효율적임을 실험결과를 통해 알 수 있었으며, MSE면에서도 우수하였다.

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