• 제목/요약/키워드: Restoration Image

검색결과 733건 처리시간 0.029초

Color Image Enhancement Using a Retinex Algorithm with Bilateral Filtering for Images with Poor Illumination

  • Mulyantini, Agustien;Choi, Heung-Kook
    • 한국멀티미디어학회논문지
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    • 제19권2호
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    • pp.233-239
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    • 2016
  • Color enhancement basically deals with color manipulation in digital images. Recently, the technique has become widely used as a result of the increasing use of digital cameras. Retinex-based colorenhancement algorithms are a popular technique. In this paper, retinex with bilateral filtering is proposed to improve the quality of poorly illuminated images. Generally, it consists of three main steps: first, a retinex-based algorithm with color restoration; second, transformation mapping using histogram matching; and finally, smoothing the image using a bilateral filter. The experimental results demonstrate that the proposed method can successfully enhance image contrast while avoiding the halo effect and maintaining the color distribution in the image.

디지털 VCR의 영상압축 기술 및 그의 화질 개선에 관한 연구 (Study on the Digital VCR System and Its Image Enhancement Techniques)

  • 이형호;백준기
    • 방송공학회논문지
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    • 제1권2호
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    • pp.142-151
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    • 1996
  • 디지털 비디오 카세트 레코더(DVCR)는 디지털 기록과 다양한 디지털 영상처리 기술과 같은 여러가지 측면에서 놀랄만한 성능에 힘입어 차세대 VCR로 대두되고 있다. 본 논문에서는 DVCR 시스템의 표준규격을 이해하고, 성능을 평가하고, 재생된 DVCR의 영상을 개선시키는 알고리듬을 제안하고자 한다. 보다 자세히 설명하자면, DVCR 영상을 개선하기 위하여 이산 코사인 변환, 양자화, 역 이산코사인 변환과 역양자화를 영상 시스템의 열화요인으로 모델링하고, 이러한 열화모델 때문에 발생하는 블럭 현상을 적응적으로 복원하는 고속 알고리듬을 제안한다.

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색상 양자화된 영상의 복원 (Restoration of Color-Quantized Images)

  • 김태훈;최민규;안종우
    • 한국컴퓨터그래픽스학회논문지
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    • 제12권2호
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    • pp.13-18
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    • 2006
  • Color quantization replaces the color of each pixel with the closest representative color, and thus it makes the resulting image partitioned into uniformly-colored regions. As a consequence, continuous, detailed variations of color over the corresponding regions in the original image are lost through color quantization. In this paper, we present a novel scheme for restoring such variations from a color-quantized input image. Our scheme identifies which pairs of uniformly-colored regions in the input image should have continuous variations of color in the resulting image. Then, such regions are seamlessly stitched using the Laplace equation. The user can optionally indicate which regions should be separated or stitched by scribbling constraint brushes across the regions. We demonstrate the effectiveness of our approach through diverse examples, such as photographs, cartoons, and artistic illustrations.

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An algorithm to find all solutions of blind deconvolution

  • Ozeki, Takashi;Watanabe, Eiji;Ishikawa, Hiroshi;Kobayashi, Fujio
    • 방송공학회논문지
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    • 제9권2호
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    • pp.110-118
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    • 2004
  • This paper shows that blind deconvolution has only finite solutions when an original image and a point spread function are nonzero over a restricted domain, in other words, an observed image has a compact support. The key of the proof is to use z-transformations and factorizations of polynomials. Then, we propose an algorithm to find all finite solutions under the boundary condition. Finally, we confirm that we can extract all sets of an original image and a point spread function from a degraded image by using our algorithm in numerical examples.

TELEMETRY TIMING ANALYSIS FOR IMAGE RECONSTRUCTION OF KOMPSAT SPACECRAFT

  • Lee, Jin-Ho;Chang, Young-Keun
    • Journal of Astronomy and Space Sciences
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    • 제17권1호
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    • pp.117-122
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    • 2000
  • The KOMPSAT(Korea Multi-Purpose SATellite) has two optical imaging instruments called EOC(Electro-Optical Camera) and OSMI (Ocean Scanning Multispectral Imager). The image data of these instruments are transmitted to ground station and restored correctly after post-processing with the telemetry data transfeered from KOMPSAT spacecraft. The major timing information of the KOMPSAT is OBT (On-Board Time) which is formatted by the on-board computer of the spacecraft, based on 1Hz sync. pulse coming from the GPS receiver involved. The OBT is transmitted to ground station with the house-keeping telemetry data of the spacecraft while it is distributed to the instruments via 1553B data bus for synchronization during imaging and formatting. The timing information contained in the spacecraft telemetry data would have direct relation to the image data of the instruments, which should be well explained to get a more accurate image. This paper addresses the timing analysis of the KOMPSAT spacecraft and instruments, including the gyro data timing analysis for the correct restoration of the EOC and OSMI image data at ground station.

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영역기반 계단응답 추출 및 디지털자동초점을 위한 점확산함수 추정 (Region-Based Step-Response Extraction and PSF Estimation for Digital Auto-Focusing)

  • 박영욱;김동균;이진희;백준기
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.827-828
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    • 2008
  • Blur identification is the first and the most important step of restoring images. Edge region of the image usually conveys important information of blur parameters. In this paper we propose a region-based edge extraction method for estimating point-spread-function (PSF). As a result, the proposed method can detect the starting and the ending points of a step response, and provides the PSF parameters to the restoration process.

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웨이블렛 기반 잡음 추정 및 영상복원에 적용 (Wavelet Based Noise Variance Estimation and Its Application to Image Restoration)

  • 전신영;윤진영;유윤종;백준기
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.1041-1042
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    • 2008
  • The wavelet transform has an advantage over the Fourier transform for representing in homogeneous functions that have discontinuities, sharp peaks, ike images. This paper proposes a noise variance estimation method by utilizing the wavelet transform.

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The Analysis on the relation between the Compression Method and the Performance of MSC(Multi-Spectral Camera) Image data

  • Yong, Sang-Soon;Choi, Myung-Jin;Ra, Sung-Woong
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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    • pp.530-532
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    • 2007
  • Multi-Spectral Camera(MSC) is a main payload on the KOMPSAT-2 satellite to perform the earth remote sensing. The MSC instrument has one(1) channel for panchromatic imaging and four(4) channel for multi-spectral imaging covering the spectral range from 450nm to 900nm using TDI CCD Focal Plane Array (FPA). The compression method on KOMPSAT-2 MSC was selected and used to match EOS input rate and PDTS output data rate on MSC image data chain. At once the MSC performance was carefully handled to minimize any degradation so that it was analyzed and restored in KGS(KOMPSAT Ground Station) during LEOP and Cal./Val.(Calibration and Validation) phase. In this paper, on-orbit image data chain in MSC and image data processing on KGS including general MSC description is briefly described. The influences on image performance between on-board compression algorithms and between performance restoration methods in ground station are analyzed and discussed.

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THE FAST TRUNCATED LAGRANGE METHOD FOR IMAGE DEBLURRING WITH ANTIREFLECTIVE BOUNDARY CONDITIONS

  • Oh, SeYoung;Kwon, SunJoo
    • 충청수학회지
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    • 제31권1호
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    • pp.137-149
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    • 2018
  • In this paper, under the assumption of the symmetry point spread function, antireflective boundary conditions(AR-BCs) are considered in connection with the fast truncated Lagrange(FTL) method. The FTL method is proposed as an image restoration method for large-scale ill-conditioned BTTB(block Toeplitz with Toeplitz block) and BTHHTB(block Toeplitz-plus-Hankel matrix with Toeplitz-plus-Hankel blocks) linear systems([13, 17]). The implementation and efficiency of the FTL method in the AR-BCs are further illustrated. Especially, by employing the AR-BCs, both the continuity of the image and the continuity of its normal derivative are preserved at the boundary. A reconstructed image with less artifacts at the boundary is obtained as a result.

Fast Patch-based De-blurring with Directional-oriented Kernel Estimation

  • Min, Kyeongyuk;Chong, Jongwha
    • 전기전자학회논문지
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    • 제21권1호
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    • pp.46-65
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    • 2017
  • This paper proposes a fast patch-based de-blurring algorithm including kernel estimation based on the angle between the edge and the blur direction. For de-blurring, image patches from the most informative edges in the blurry image are used to estimate a kernel with low computational cost. Moreover, the kernels of each patch are estimated based on the correlation between the edge direction and the blur direction. This makes the final kernel more reliable and creates an accurate latent image from the blurry image. The combination of directionally oriented kernel estimation and patch-based de-blurring is faster and more accurate than existing state-of-the art methods. Experimental results using various test images show that the proposed method achieves its objectives: speed and accuracy.