• Title/Summary/Keyword: Edge restoration

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Comparison of Common Methods from Intertwined Application in Image Processing

  • Shin, Seong-Yoon;Lee, Hyun-Chang;Rhee, Yang-Won
    • Journal of information and communication convergence engineering
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    • v.8 no.4
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    • pp.405-410
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    • 2010
  • Image processing operations like smoothing and edge detection, and many more are very widely used in areas like Computer Vision. We classify the image processing domain as seven branches-image acquirement and output, image coding and compression, image enhancement and restoration, image transformation, image segmentation, image description, and image recognition and description. We implemented algorithms of gaussian smoothing, laplace sharpening, image contrast effect, image black and white effect, image fog effect, image bright and dark effect, image median filter, and canny edge detection. Such experimental results show the figures respectively.

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

  • Min, Kyeongyuk;Chong, Jongwha
    • Journal of IKEEE
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    • v.21 no.1
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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.

A Framework for OAM in OBS Networks (OBS 네트워크의 OAM 기본 체제)

  • Shin Jong-Dug
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.1B
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    • pp.41-51
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    • 2004
  • Operation and maintenance (OAM) in optical burst switching (OBS) networks has not yet been addressed even though OBS has been gaining research interest in recent years. In this paper, we defined five OBS functions such as Burst Termination (BT), Burst Transmission (BTX), Burst Switching (BSW), Routing and Switching Control (RSC), and Protection and Restoration (PAR). A functional model for OBS networks and an OAM architecture are designed to meet the operational requirements. We present the first framework to realize OAM in OBS networks, including OAM activities, OAM-capable OBS nodes such as ingress edge, core, and egress edge nodes, OAM information and communication models and protocols. A number of examples of possible network failures are pointed out and the corresponding reactions to these using the proposed OAM architecture are presented.

Field Mismatch Compensation and Motion Blur Reduction System for Moving Images (동영상의 필드불일치 보정 및 움직임열화 제거 시스템 개발)

  • Choung, Yoo-Chan;Paik, Joon-Ki
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.2
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    • pp.81-87
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    • 1999
  • In this research, we propose a field mismatch compensation method for interlaced scan image and a image restoration technique for removing motion blur. In order to compensate field mismatch, the edge classification-based linear interpolation technique and the method using the object-based motion compensation are described. We also propose an edge estimation method and an motion-based image segmentation algorithm. For removing motion blur, we adopt an adaptive iterative image restoration method using the motion-based segmentation result to improve the quality of restored image.

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Forest Fragmentation and its impacts : A review (산림파편화에 대한 국내·외 연구동향)

  • Kim, Eunyoung;Song, Wonkyong;Lee, Dong-Kun
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.15 no.2
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    • pp.149-162
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    • 2012
  • Habitat loss and fragmentation are ongoing major anthropogenic impacts on landscapes, which can strongly affect ecosystems, populations and species. The studies on forest fragmentation have been progressed, but the studies on definition of forest fragmentation and their synthetic trend in South Korea still leaves much to be desired. Therefore we set the definition of forest fragmentation and reviewed the related papers. We can give a definition that forest fragmentation is not only a process of spatial landscape transformation, but also a process of ecosystem change by it. The trend of studies on forest fragmentation divided into two fields, landscape and ecosystem changes. Forest fragmentation caused by land change altered the composition and configuration of forest patches. Most studies related on that analyzed the change using landscape index. The effects of forest fragmentation on ecosystem subdivided into three fields : biodiversity, edge effects, and invasive species, but the studies in South Korea is short. The study on relations between forest fragmentation and ecosystem change is necessary to face the Convention on Biological Diversity in South Korea. In addition, the fundamental studies on biodiversity is important to mitigate against forest fragmentation.

A Study on Image Restoration using Mean and Wiener Filter (평균 및 위너 필터를 사용한 영상 복원에 관한 연구)

  • Moon Hong-Deuk;Kang Kyeong-Deog;Bae Sang-Bum;Kim Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.7
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    • pp.1393-1398
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    • 2004
  • Image is degraded by several causes such as the process of acquisition, storage and transmission. To restore those images, many researches have been continued. Centrally methods to restore degraded image by AWGN(additive white gaussian noise) a.e mean filter and wiener filter. Especially, mean filter is superior in noise reduction of area that is a small change of luminosity. But mean filter brings about the effect smoothing edge components of the image, because it does'nt consider characteristics of the image. So in this paper we propose an image restoration method compounding respective images adding established weights, after filtering with mean filter and powerful wiener filter in both improvement of contrast and preservation of edge components.

Current Status of Invasive Disturbance Species and Its Habitat Characteristics in Urban Forest (도시산림 내 침입교란종 출현현황 및 서식특성 연구)

  • Kim, Eunyoung;Kim, Jiyeon;Song, Wonkyong
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.19 no.3
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    • pp.93-102
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    • 2016
  • An invasive disturbance species has caused harm to biodiversity and ecosystem. To address the issue, identifying the characteristics of a habitat for invasive disturbance species is considered for forest management. This study analyzed a status of plant species by field survey based on belt transect method in the capital areas and established a predictive model for invasive disturbance species by logistic regression. As results of the study, the number of herb, vine, and invasive disturbance species and a canopy cover of tree would decrease from the forest edge to core areas (p<0.001). The predictive model was derived with variables of altitude, Topographic Wetness Index, distance to forest edge, and canopy cover of tree. It can be useful in estimating the presence or absence of species and predicting its spatial distribution. Further studies are needed to identify the pathway of introduction, spread, and possibility of germination for understanding the status of invasive disturbance species in more depth.

A Study on an Image Restoration Algorithm in Complex Noises Environment (복합 잡음환경하에서 영상복원 알고리즘에 관한 연구)

  • Jin, Bo;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.06a
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    • pp.209-212
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    • 2007
  • Digital images are corrupted by noises, during signal acquisition and transmission. Amount those noises, additive white Gaussian noise (AWGN) and impulse noise are most representative. The conventional image restoration algorithms are mostly taken in simple noise environment, but they didn't perform very well in tempter noises environment. So a modified image restoration algorithm, which can remove complex noises by using the intensity differences and spatial distances between center pixel and its neighbor pixels as parameters, is proposed in this paper. Simulation results demonstrate that the proposed algorithm can't only remove AWGN and impulse noise separately, but also performs well in preserving details of images as edge.

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STRESS ANALYSIS OF VARIOUS ESTHETIC RESTORATIONS BY FINITE ELEMENT METHOD (유한 요소법을 이용한 수종 심미 수복물의 응력 분석)

  • Jo, Jin-Hee;Vang, Mong-Sook
    • The Journal of Korean Academy of Prosthodontics
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    • v.29 no.2
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    • pp.129-145
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    • 1991
  • The purpose of this study was to analyze the stresses and displacements of various esthetic restorations and abutment teeth. The finite element models of central incisor were divided into four groups according to the types of restoration. Three load cases were applied; 1) 45 degrees on the incisal edge, 2) horizontal force on the labial surface, and 3) 26 degrees diagonally on the lingual surface. Material property, geometry, and load conditions of each model were inputed to the two dimensional finite element program and stresses and displacements were analyzed. Results were as follows; 1. In the cases of porcelain fused gold ann and porcelain laminate venner, stresses were equally distributed in supporting abutment tooth. 2. The metal coping of porcelain fused gold u and collarless porcelain fused gold crown functioned as a good stress distributor. 3. When the horizontal load applied, the highest tensile and compressive stresses were seen in the cervical margin of restoration and the dentin of the abutment tooth. 4. The highest displacement of restoration was seen when load was applied at an mee of 26 degrees diagonally in lingual surface of tooth in centric occlusion. 5. The influence of loading direction on the stresses and displacements in the restoration was greater than that of various design. 6. The possibility of fracture was highest in porcelain jacket crown.

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Label Restoration Using Biquadratic Transformation

  • Le, Huy Phat;Nguyen, Toan Dinh;Lee, Guee-Sang
    • International Journal of Contents
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    • v.6 no.1
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    • pp.6-11
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    • 2010
  • Recently, there has been research to use portable digital camera to recognize objects in natural scene images, including labels or marks on a cylindrical surface. In many cases, text or logo in a label can be distorted by a structural movement of the object on which the label resides. Since the distortion in the label can degrade the performance of object recognition, the label should be rectified or restored from deformations. In this paper, a new method for label detection and restoration in digital images is presented. In the detection phase, the Hough transform is employed to detect two vertical boundaries of the label, and a horizontal edge profile is analyzed to detect upper-side and lower-side boundaries of the label. Then, the biquadratic transformation is used to restore the rectangular shape of the label. The proposed algorithm performs restoration of 3D objects in a 2D space, and it requires neither an auxiliary hardware such as 3D camera to construct 3D models nor a multi-camera to capture objects in different views. Experimental results demonstrate the effectiveness of the proposed method.