• Title/Summary/Keyword: color images

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The Implementing a Color, Edge, Optical Flow based on Mixed Algorithm for Shot Boundary Improvement (샷 경계검출 개선을 위한 칼라, 엣지, 옵티컬플로우 기반의 혼합형 알고리즘 구현)

  • Park, Seo Rin;Lim, Yang Mi
    • Journal of Korea Multimedia Society
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    • v.21 no.8
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    • pp.829-836
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    • 2018
  • This study attempts to detect a shot boundary in films(or dramas) based on the length of a sequence. As films or dramas use scene change effects a lot, the issues regarding the effects are more diverse than those used in surveillance cameras, sports videos, medical care and security. Visual techniques used in films are focused on the human sense of aesthetic therefore, it is difficult to solve the errors in shot boundary detection with the method employed in surveillance cameras. In order to define the errors arisen from the scene change effects between the images and resolve those issues, the mixed algorithm based upon color histogram, edge histogram, and optical flow was implemented. The shot boundary data from this study will be used when analysing the configuration of meaningful shots in sequences in the future.

View Synthesis and Coding of Multi-view Data in Arbitrary Camera Arrangements Using Multiple Layered Depth Images

  • Yoon, Seung-Uk;Ho, Yo-Sung
    • Journal of Multimedia Information System
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    • v.1 no.1
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    • pp.1-10
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    • 2014
  • In this paper, we propose a new view synthesis technique for coding of multi-view color and depth data in arbitrary camera arrangements. We treat each camera position as a 3-D point in world coordinates and build clusters of those vertices. Color and depth data within a cluster are gathered into one camera position using a hierarchical representation based on the concept of layered depth image (LDI). Since one camera can cover only a limited viewing range, we set multiple reference cameras so that multiple LDIs are generated to cover the whole viewing range. Therefore, we can enhance the visual quality of the reconstructed views from multiple LDIs comparing with that from a single LDI. From experimental results, the proposed scheme shows better coding performance under arbitrary camera configurations in terms of PSNR and subjective visual quality.

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DEVELOPMENT OF ON-BOARD SOFTWARE FOR COMS GEOSTATIONARY OCEAN COLOR IMAGER

  • Park, Su-Hyun;Koo, Cheol-Hae;Kang, Soo-Yeon;Yang, Koon-Ho;Choi, Seong-Bong
    • Proceedings of the KSRS Conference
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    • v.1
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    • pp.257-259
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    • 2006
  • The Communication Ocean Meteorological Satellite (COMS) is a geostationary satellite being developed by Korea Aerospace Research Institute. Geostationary Ocean Color Imager (GOCI) is one of the payloads embarked on the COMS satellite. It acquires ocean images around Korea in 8 visible spectral bands with a spatial resolution of about 500 m. The acquired data are used to provide forecasting and now casting of the ocean state. The GOCI operations are controlled by the satellite embedded software, i.e. on-board software. This paper introduces the GOCI payload of the COMS satellite and describes the control software for the GOCI.

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Image Reconstruction Using Line-scan Image for LCD Surface Inspection (LCD표면 검사를 위한 라인스캔 영상의 재구성)

  • 고민석;김우섭;송영철;최두현;박길흠
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.4
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    • pp.69-74
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    • 2004
  • In this paper, we propose a novel method for improving defect-detection performance based on reconstruction of line-scan camera images using both the projection profiles and color space transform. The proposed method consists of RGB region segmentation, representative value reconstruction using the tracing system, and Y image reconstruction using color-space transformation. Through experiments it is demonstrated that the performance using the reconstructed image is better than that using aerial image for LCD surface inspection.

Wide-QQVGA Flexible Full-Color Active-Matrix OLED Display with an Organic TFT Backplane

  • Nakajima, Yoshiki;Takei, Tatsuya;Tsuzuki, Toshimitsu;Suzuki, Mitsunori;Fukagawa, Hirohiko;Fujisaki, Yoshihide;Yamamoto, Toshihiro;Kikuchi, Hiroshi;Tokito, Shizuo
    • 한국정보디스플레이학회:학술대회논문집
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    • 2008.10a
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    • pp.189-192
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    • 2008
  • A 5.8-inch wide-QQVGA flexible full-color active-matrix OLED display was fabricated on a plastic substrate. Low-voltage-operation organic TFTs and high-efficiency phosphorescent OLEDs were used as the backplane and emissive pixels, respectively. The fabricated display clearly showed color moving images when the driving voltage was below 15 V.

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A CIECAM02-based color edge detection method (CIECAM02 기반 컬러 에지 검출 방법)

  • Kang, Min-Sung;Kim, Bong-Joe;Sohn, Kwang-Hoon
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.843-844
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    • 2008
  • In this paper, we propose a CIECAM02-based color edge detection method. The proposed method detects color edges with distance metric based on the characteristics of Human Visual System (HVS). The CIECAM02 is inherently strong in considering HVS. We use a vector gradient edge detector in a JCh components with newly proposed distance metric. The proposed method detect edges clearly. We subjectively confirm the performance with clearly enhanced images.

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Real time tracking of multiple humans for mobile robot application

  • Park, Joon-Hyuk;Park, Byung-Soo;Lee, Seok;Park, Sung-Kee;Kim, Munsang
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.100.3-100
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    • 2002
  • This paper presents the method for detection and tracking of multiple humans robustly in mobile platform. The perception of human is performed in real time through the processing of images acquired from a moving stereo vision system. We performed multi-cue integration such as human shape, skin color and depth information to detect and track each human in moving background scene. Human shape is measured by edge-based template matching on distance transformed image. Improving robustness for human detection, we apply the human face skin color in HSV color space. And we could increase the accuracy and the robustness in both detection and tracking by applying random sampling stochastic estimati...

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Face Region Extraction Algorithm Using Projection (투영 기법을 이용한 얼굴 영역 추출 알고리즘)

  • 임주혁;이준우;류권열;송근원
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.521-524
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    • 2003
  • In this paper, we propose a face region extraction algorithm using color information and projection. After the extraction of face candidate image using adaptive color information, we project it into vertical direction to estimate the width of the face. Then the redundant parts of the face are efficiently removed by using the estimated face width. And the width information of the face is used at the horizontal projection step to extract the height of the face, and non-face region such as the neck and some background regions, which are represented as the similar skin color, effectively eliminated. From the experiment results for the various images, the proposed algorithm shows more accurate results than the conventional algorithm.

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A Novel Image Dehazing Algorithm Based on Dual-tree Complex Wavelet Transform

  • Huang, Changxin;Li, Wei;Han, Songchen;Liang, Binbin;Cheng, Peng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.10
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    • pp.5039-5055
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    • 2018
  • The quality of natural outdoor images captured by visible camera sensors is usually degraded by the haze present in the atmosphere. In this paper, a fast image dehazing method based on visible image and near-infrared fusion is proposed. In the proposed method, a visible and a near-infrared (NIR) image of the same scene is fused based on the dual-tree complex wavelet transform (DT-CWT) to generate a dehazed color image. The color of the fusion image is regulated through haze concentration estimated by dark channel prior (DCP). The experiment results demonstrate that the proposed method outperforms the conventional dehazing methods and effectively solves the color distortion problem in the dehazing process.

Investigation on Grain Image Visulalization and Color Sorting Technique (색채선별기 곡물 이미지 가시화 및 선별기법에 관한 연구)

  • Lee, Choon-Young;Yan, Lei;Lee, Sang-Ryong;Par, Cheol-Woo
    • Journal of the Korean Society of Visualization
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    • v.6 no.2
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    • pp.20-27
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    • 2008
  • The color sorting technique utilizing the image processing method is very applicable tool to analyze motion of a free-falling object in many agricultural and industrial research fields. In the present study, we have developed an image processing system and algorithm to sort good quality rice grains effectively from the bad ones. The system employs a high speed rate line-scan CCD camera with 2K-pixels and worked with a high speed DSP and FPGA in-line. It can accumulate acquired line-scan image data and visualize each grain image clearly. As a result, we can easily calculate the number of pixels occupied by grain(=grain size), gray level and its correct position by visualizing grain images rapidly.