• Title/Summary/Keyword: 영상 밝기

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Lightness Compensation for Anaglyph Images to Reduce Retinal Rivalry (Anaglyph 영상의 망막경합 최소화를 위한 밝기 보상)

  • Jang, Woo-Heon;Lee, Tae-Hyoung;Kim, Dae-Chul;Lee, Cheol-Hee;Ha, Yeong-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.49 no.1
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    • pp.88-96
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    • 2012
  • According to development of technology for media, observers try to watch the realities from images, as follows, 3D imaging has been extremely developed. 3D image gives depth in the image, observers feel in nature. Different image perception from left and right eyes make the 3D image. Anaglyph which is one of the ways to make an image of three dimensions is for obtaining an image of three dimensions by using color filter glasses. Anaglyph has a little amount of calculation and is easy to make, and it has a good point that anaglyph can be used in more wide field because it can create an image of three dimensions to the output of print like printed matter. However, the phenomenon of retinal rivalry can cause a feeling of fatigue because a difference of brightness of the left image and the right image happen. The way to reduce this problem is made by cutting down a difference of brightness. In the result, retinal rivalry can be reduced. We reduced a difference of the brightness of the left and the right image by utilizing the brightness and average of the original image to reduce retinal rivalry and we made better colors of anaglyph by using the way that we keep the hue caused by a change of brightness and supplement saturation about color distortion which is created at that time.

Registration and Intensity Compensation of Tilted Images of the Mitochondria Section Obtained from the Transmission Electron Microscopy (미토콘드리아 절편의 여러 투사각에서 투과 전자 현미경으로 획득한 영상의 정합과 밝기 보정)

  • Kim, Dong-Sik
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.3
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    • pp.1-9
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    • 2009
  • Using the projected 2-dimensional tilted images obtained from the transmission electron microscopy, we can reconstruct the 3-dimensional structures of objects, such as cells. As a preprocessing procedure, the tilted images should be registered and compensated in terms of the spatial position and the intensity difference, respectively. In this paper, we employ the fiducial marker-based approach to perform a registration, and introduce a simple intensity compensation scheme. Based on the transmissivity image formation model, we propose an algorithm that can compensate the components of the illumination and transmissivity of each image according to the tilted angle. Numerical analysis using real images obtained from the transmission electron microscopy are shown in this paper to show the performance of the proposed algorithm.

Efficient luminance compensation for Virtual Reality Image (VR 영상 스티칭을 위한 효율적인 밝기 보상 방법)

  • Lee, Geon-won;Han, Jong-Ki
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2017.11a
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    • pp.54-55
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    • 2017
  • VR영상은 하나의 카메라가 아닌 여러 대의 카메라로 촬영한 영상을 이어 붙여 만든다. 각각의 카메라로 촬영된 영상은 FOV에서 광원이 서로 다르기 때문에 각 영상의 밝기는 서로 일치하지 않는다. 이러한 밝기 차이는 각 영상을 하나의 VR 영상으로 스티칭 하였을 때 더욱 이질적으로 느껴진다. 본 논문에서는 각각의 카메라 영상이 서로 다른 광원에 의하여 밝기 차이가 발생하였을 때 이를 보상하기 위한 알고리즘을 제안한다.

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Illuminant Brightness Correction using Multispectral relighting (멀티스펙트럴 재조명을 이용한 조명 밝기 보정)

  • Sim, Kyudong;Park, Jong-Il
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2016.11a
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    • pp.179-181
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    • 2016
  • 조명이 객체에 균일하지 않은 세기의 빛을 제공하는 문제는 조명의 하드웨어 설계에서 해결해야 할 문제 중 하나였다. 본 논문에서는 객체가 받는 특정 조명의 세기가 균일하지 않은 영상을 균일한 밝기의 영상으로 보정하는 방법을 제안한다. 제안하는 방법은 밝기가 균일하지 않은 특정 조명에서 획득한 영상과 밝기가 균일한 일반 조명에서 획득한 영상을 이용한다. 우선 균일하지 않은 특정 조명에서 컬러필터나 다른 광원을 이용해서 특정 조명의 밝기를 기준으로 객체의 반사 스펙트럼을 복원한다. 복원한 반사 스펙트럼을 균일한 조명의 스펙트럼 특성으로 스펙트럴 재조명을 하여 두 영상간 밝기의 차이를 비교한다. 이 비교를 통해 특정 조명에서 획득한 영상의 밝기를 보정하고 보정 결과 비교를 통해 보정이 잘 되었음을 확인할 수 있다. 이 결과를 통해 특정 조명의 하드웨어 설계의 어려움을 줄일 수 있을 것으로 기대 된다.

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Color and Illumination Compensation Algorithm for 360 VR Panorama Image (360 VR 기반 파노라마 영상 구성을 위한 칼라 및 밝기 보상 알고리즘)

  • Nam, Da-yoon;Han, Jong-Ki
    • Journal of Broadcast Engineering
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    • v.24 no.1
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    • pp.3-24
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    • 2019
  • Techniques related to 360 VR service have been developed to improve the quality of the stitched image and video, where illumination compensation scheme is one of the important tools. Among the conventional illumination compensation algorithms, Gain-based compensation and Block Gain-based compensation algorithms have shown the outstanding performances in the process of making panorama picture. However, those are ineffective in the 360 VR service, because the disparity between illuminations of the multiple pictures in 360 VR is much more than that in making the panorama picture. In addition, the number of the pictures to be stitched in 360 VR system is more than that in the conventional panorama image system. Thus, we propose a preprocessing tool to enhance the illumination compensation algorithm so that the method reduces the degradation in the stitched picture of 360 VR systems. The proposed algorithm consists of 'color compensation' and 'illumination compensation'. The simulation results show that the proposed technique improve the conventional techniques without additional complexity.

A Study on Fuzzy Binarization Method (퍼지 이진화 방법에 관한 연구)

  • 윤형근;이지훈;김광백
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2002.11a
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    • pp.510-513
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    • 2002
  • 대부분의 이진화 알고리즘은 임계치를 결정하기 위하여 히스토그램을 사용하여 밝기분포를 분석한다. 배경과 물체의 명도차이가 큰 경우에는 분할을 위해 양봉(bimodal) 히스토그램으로 표현하여 최적의 임계치를 찾기 위해 히스토그램 골짜기(valley)를 선택하는 것만으로도 양호한 임계치 결과를 얻을수 있으나, 배경과 물체의 밝기 차이가 크지 않거나 밝기 분포가 양봉 특성을 보이지 않을 때는 히스토그램 분석만으로 적절한 임계치를 얻기 어렵다. 그리고 한 영상에서는 넓은 영역에 걸쳐 명암도 변화가 일어나고 다양한 유형의 물체가 포함되어 있으므로 스케치 특징점 유무를 판별하는 임계치의 결정에는 애매 모호함이 존재한다. 따라서 본 논문에서는 영상에 대해 삼각형 타입의 소속함수를 적용하여 임계치를 동적으로 설정하고 영상을 이진화하는 방법을 제안한다. 제안된 퍼지 이진화 방법은 평균 밝기 값을 기준으로 가장 어두운 픽셀 값과 가장 밝은 픽셀값의 거리를 계산하여 밝기의 조정률을 구하여 최소 밝기값과 최대 밝기 값을 설정하고 삼각형의 소속 함수에 적용한다. 소속 함수에 적용된 소속도를 a-cut 을 적용하여 영상을 이진화한다. 다양한 영상에 적용한 결과, 기존의 이진화 방법보다 제안된 퍼지 이진화 방법이 효율적인 것을 알 수 있었다.

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Temporal Color Rolling Suppression Algorithm Considering Time-varying Illuminant (조도 변화를 고려한 동영상 색 유동성 저감 알고리즘)

  • Oh, Hyun-Mook;Kang, Moon-Gi
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.5
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    • pp.55-62
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    • 2011
  • In this paper, a temporal color and luminance variation suppression algorithm for a digital video sequence is proposed by considering time-varying light source. When a video sequence is sampled with the periodically emitting illuminant and with a short exposure time, the color rolling phenomenon occurs, where the color and the luminance of the image periodically change from field to field. In conventional signal processing techniques, the luminance variation remaining in the resultant video sequence degrades the constancy of the image sequence. In the proposed method, we obtain video sequences with constant luminance and color by compensating for the inter-field luminance variation. Based on a motion detection technique, the amount of the luminance variation for each channel is estimated on the background of the sequence without the effects of moving objects. The experimental results clearly show that our strategy efficiently estimated the illuminant change without being affected by moving objects, and the variations were efficiently reduced.

Luminance Compensation using Feature Points and Histogram for VR Video Sequence (특징점과 히스토그램을 이용한 360 VR 영상용 밝기 보상 기법)

  • Lee, Geon-Won;Han, Jong-Ki
    • Journal of Broadcast Engineering
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    • v.22 no.6
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    • pp.808-816
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    • 2017
  • 360 VR video systems has become important to provide immersive effect for viewers. The system consists of stitching, projection, compression, inverse projection, viewport extraction. In this paper, an efficient luminance compensation technique for 360 VR video sequences, where feature extraction and histogram equalization algorithms are utilized. The proposed luminance compensation algorithm enhance the performance of stitching in 360 VR system. The simulation results showed that the proposed technique is useful to increase the quality of the displayed image.

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.

Improving Brightness for a Multi-projector Display Using Human Visual Properties (인간의 시각 특성을 사용한 Multi-Projector Display에서의 밝기 향상 방법)

  • Lee Hee-Won;Lee Byung-Uk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.5C
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    • pp.512-518
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    • 2006
  • Very large-area multi-projector display systems have wide applications since they provide immersible environments. The brightness of projectors in the system is different due to the design and aging of the bulbs, and optical properties of the projectors. Therefore it is imperative to match the brightness characteristics of projectors in the system. This issue has been addressed by many researchers. The state of the art solution considers characteristic of projector's brightness only. In this paper, we propose a method that takes into account brightness of projector as well as the dynamic range of the input image. We increase the dynamic range of the input image to utilize the maximum possible brightness of a projector while satisfying the spatial smoothness constraint. This achieves a seamless multi-display with dramatic brightness improvement.