• Title/Summary/Keyword: Seamless Blending

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Image Enhancement Based on Local Histogram Specification (로컬 히스토그램 명세화에 기반한 화질 개선)

  • Khusanov, Ulugbek;Lee, Chang-Hoon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.23 no.1
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    • pp.18-23
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    • 2013
  • In this paper we propose an image enhancement technique based on histogram specification method over local overlapping regions referred as Local Histogram Specification. First, both reference and original images are splitted into local regions that each overlaps half of its adjacent regions and general histogram specification method is used between corresponding local regions of reference and original image. However it produces noticeable boundary effects. Linear weighted image blending method is used to reduce this effect in order to make seamless image and we also proposed new technique dealing with over-enhanced contrast areas. We satisfied with our experimental results that showed better enhancement accuracy and less noise amplifications compared to other well-known image enhancement methods. We conclude that the proposed method is well suited for motion detection systems as a responsible part to overcome sudden illumination changes.

Seamless Image Blending based on Multiple TIP models (다수 시점의 TIP 영상기반렌더링)

  • Roh, Chang-Hyun
    • Journal of Korea Game Society
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    • v.3 no.2
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    • pp.30-34
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    • 2003
  • Image-based rendering is an approach to generate realistic images in real-time without modeling explicit 3D geometry, Especially, TIP(Tour Into the Picture) is preferred for its simplicity in constructing 3D background scene. However, TP has a limitation that a viewpoint cannot go far from the origin of the TIP for the lack of geometrical information. in this paper, we propose a method to interpolating the TIP images to generate smooth and realistic navigation. We construct multiple TIP models in a wide area of the virtual environment. Then we interpolate foreground objects and background object respectively to generate smooth navigation results.

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Poisson Video Composition Using Shape Matching (형태 정합을 이용한 포아송 동영상 합성)

  • Heo, Gyeongyong;Choi, Hun;Kim, Jihong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.4
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    • pp.617-623
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    • 2018
  • In this paper, we propose a novel seamless video composition method based on shape matching and Poisson equation. Video composition method consists of video segmentation process and video blending process. In the video segmentation process, the user first sets a trimap for the first frame, and then performs a grab-cut algorithm. Next, considering that the performance of video segmentation may be reduced if the color, brightness and texture of the object and the background are similar, the object region segmented in the current frame is corrected through shape matching between the objects of the current frame and the previous frame. In the video blending process, the object of source video and the background of target video are blended seamlessly using Poisson equation, and the object is located according to the movement path set by the user. Simulation results show that the proposed method has better performance not only in the naturalness of the composite video but also in computational time.

Development of Brightness Correction Method for Mosaicking UAV Images (무인기 영상 병합을 위한 밝기값 보정 방법 개발)

  • Ban, Seunghwan;Kim, Taejung
    • Korean Journal of Remote Sensing
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    • v.37 no.5_1
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    • pp.1071-1081
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    • 2021
  • Remote Sensing using unmanned aerial vehicles(UAV) can acquire images with higher time resolution and spatial resolution than aerial and satellite remote sensing. However, UAV images are photographed at low altitude and the area covered by one image isrelatively narrow. Therefore multiple images must be processed to monitor large area. Since UAV images are photographed under different exposure conditions, there is difference in brightness values between adjacent images. When images are mosaicked, unnatural seamlines are generated because of the brightness difference. Therefore, in order to generate seamless mosaic image, a radiometric processing for correcting difference in brightness value between images is essential. This paper proposes a relative radiometric calibration and image blending technique. In order to analyze performance of the proposed method, mosaic images of UAV images in agricultural and mountainous areas were generated. As a result, mosaic images with mean brightness difference of 5 and root mean square difference of 7 were avchieved.

Development of an Immersive VR Display System Supporting Continuous Arrangement of Multiple Screens (다중스크린의 연속적인 배치를 지원하는 몰입형 가상환경 디스플레이 시스템의 개발)

  • 남상훈;채영호;강재훈
    • Korean Journal of Computational Design and Engineering
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    • v.7 no.1
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    • pp.18-26
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    • 2002
  • The suggested modular projection system can have flexible arrangements of screens. Modular and continuous arrangements of the display system enable us to modify the screen configuration easily, so that the system can be used in various applications. The image of each screen is calculated automatically by using window projection and the tracked position of the viewer. This system also uses the off-axis stereoscopic projection for the seamless stereoscopic edge blending of multiple connections of screens. The system has been successfully tested for the general navigation model and the CAU driving simulator with motion platform.

Video Augmentation of Virtual Object by Uncalibrated 3D Reconstruction from Video Frames (비디오 영상에서의 비보정 3차원 좌표 복원을 통한 가상 객체의 비디오 합성)

  • Park Jong-Seung;Sung Mee-Young
    • Journal of Korea Multimedia Society
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    • v.9 no.4
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    • pp.421-433
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    • 2006
  • This paper proposes a method to insert virtual objects into a real video stream based on feature tracking and camera pose estimation from a set of single-camera video frames. To insert or modify 3D shapes to target video frames, the transformation from the 3D objects to the projection of the objects onto the video frames should be revealed. It is shown that, without a camera calibration process, the 3D reconstruction is possible using multiple images from a single camera under the fixed internal camera parameters. The proposed approach is based on the simplification of the camera matrix of intrinsic parameters and the use of projective geometry. The method is particularly useful for augmented reality applications to insert or modify models to a real video stream. The proposed method is based on a linear parameter estimation approach for the auto-calibration step and it enhances the stability and reduces the execution time. Several experimental results are presented on real-world video streams, demonstrating the usefulness of our method for the augmented reality applications.

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Thermal Image Real-time estimation and Fire Alarm by using a CCD Camera (CCD 카메라를 이용한 열화상 실시간 추정과 화재경보)

  • Baek, Dong-Hyun
    • Fire Science and Engineering
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    • v.30 no.6
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    • pp.92-98
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    • 2016
  • This study evaluated thermal image real-time estimation and fire alarm using by a CCD camera, which has been a seamless feature-point analysis method, according to the angle and position and image fusion by a vector coordinate point set-up of equal shape. The system has higher accuracy, fixing data value of temperature sensing and fire image of 0~255, and sensor output-value of 0~5,000. The operation time of a flame specimen within 500 m, 1000 m, and 1500 m from the test report specimen took 7 s, 26 s, and 62 s, respectively, and image creation was proven. A diagnosis of fire accident was designated to 3 steps: Caution/Alarm/Fire. Therefore, a series of process and the transmission of SNS were identified. A light bulb and fluorescent bulb were also tested for a false alarm test, but no false alarm occurred. The possibility that an unwanted alarm will be reduced was verified through a forecast of the fire progress or real-time estimation of a thermal image by the change in the image of a time-based flame and an analysis of the diffusion velocity.