• Title/Summary/Keyword: HDR Imaging

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High Dynamic Range Imaging 기술 및 최근 동향

  • Gang, Seok-Ju
    • Information Display
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    • v.20 no.3
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    • pp.3-9
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    • 2019
  • 본 논문에서는 HDR imaging 기술의 기본 원리와 전반적인 내용에 대해서 살펴보았다. 특히 최근 많은 관심을 받고 있는 딥러닝 기술에 대한 소개와 HDR imaging 기술에 어떤 형태로 적용되고 있는지에 대한 내용 및 최근 동향에 대해서도 함께 살펴보았다. HDR imaging 기술은 기존 디스플레이 대비 높은 인지 화질을 제공해주기 때문에 현재 많은 관심을 받고 있는 기술이며, 디스플레이 패널 기술 발전과 함께 지속적으로 연구되어야 하는 기술이다. 이와 관련해서 현재 많은 연구 기관 등에 대해서 관련 기술에 대해서 연구하고 있지만, 아직 많은 부분에 있어서 해결되어야 하겠다. 특히 궁극적으로 인간의 시각 특성을 고려한 영상 출력을 위해서는 디스플레이 기술 발전과 함께 알고리즘 측면에서 많은 연구가필요하겠다. 따라서 이러한 HDR imaging 기술을 포함한 다양한 알고리즘 개발을 통해서 현재보다 높은 수준의 실감형 디스플레이 기술 개발이 이루어질 것으로 기대된다.

Analysis of False Color Visualization for HDR Image (HDR영상에서 가색상 시각화 알고리즘 분석)

  • Lee, Yong-Hwan;Kim, Youngseop
    • Journal of the Semiconductor & Display Technology
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    • v.16 no.3
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    • pp.82-86
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    • 2017
  • High dynamic range (HDR) imaging offers a radically approach of representing colors in digital images. Instead of using the range of colors produced by given devices, HDR imaging method manipulates and stores all colors and brightness levels visible to the human eye. To faithfully represent, store and then reproduce all these effects, the original scene must be stored and treated using high fidelity HDR techniques. Then, tone mapping is required to accommodate HDR image to low dynamic range (LDR) devices, and tone mapping operation of HDR image for realistic display is commonly researched. However, color visualization for analyzing scene luminance in HDR imaging has less attention from researches. This paper presents and implements a method for reproduction and visualization of the false color in HDR images. We produce a color visualization framework with several mapping functions, and evaluate their effectiveness by using RMAE and SNR with commonly used HDR image data. Experiment reveals that the sigmodal mapping function shows better performance in the false color visualization, compared to other methods.

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HVS-Aware Single-Shot HDR Imaging Using Deep Convolutional Neural Network (시각 인지 특성과 딥 컨볼루션 뉴럴 네트워크를 이용한 단일 영상 기반 HDR 영상 취득)

  • Vien, An Gia;Lee, Chul
    • Journal of Broadcast Engineering
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    • v.23 no.3
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    • pp.369-382
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    • 2018
  • We propose a single-shot high dynamic range (HDR) imaging algorithm using a deep convolutional neural network (CNN) for row-wise varying exposures in a single image. The proposed algorithm restores missing information resulting from under- and/or over-exposed pixels in an input image and reconstructs the raw radiance map. The main contribution of this work is the development of a loss function for the CNN employing the human visual system (HVS) properties. Then, the HDR image is obtained by applying a demosaicing algorithm. Experimental results demonstrate that the proposed algorithm provides higher-quality HDR images than conventional algorithms.

HDR Image Acquisition from Two LDR Images (두 장의 LDR 영상을 이용한 HDR 영상 취득 기법)

  • Park, Tae-Jang;Park, In-Kyu
    • Journal of Broadcast Engineering
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    • v.16 no.2
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    • pp.247-257
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    • 2011
  • In this paper, we propose a scene adaptive method to obtain two LDR images with proper shutter speeds which capture the irradiance of scene effectively. The proposed method adaptively selects two shutter speeds across the video frame even when the illumination varies continuously. For the performance evaluation, we compute the PNSR to the ground truth which is obtained by the state-of-the-art HDR imaging method. It shows that the proposed method is able to select approximately optimal shutter speeds while avoiding the exhaustive search of every possible pair of shutter speeds.

Multi-spectral HDR Imaging System and its Characterization (다중 분광 HDR 이미징 시스템 개발 및 특성화 방법)

  • Kim, Deok-Bong;Seo, Myeong-Guk;Kim, Gang-Yeon;Lee, Gwan-Haeng
    • Proceedings of the Optical Society of Korea Conference
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    • pp.286-287
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    • 2009
  • 본 논문은 다중 분광 HDR 이미징 시스템 개발에 관한 연구로써, 기존 점 기반의 분광방사휘도계의 단점을 보완하기 위해 고안된 시스템이다. 기존 분광방사휘도계는 한 점의 분광방사 휘도 값을 측정할 수밖에 없기 때문에, 여러 개의 샘플을 찍을 때 많은 시간이 드는 단점이 존재한다. 본 연구에서는 HDRI (High Dynamic Range Image) 생성 기술과 다중분광 이미징 기술을 이용하여 시스템을 구성하였다. 상용 분광방사휘도계와 다중 분광 HDR 이미징 시스템으로부터 나온 값을 직접 적용(fitting) 하여 효율적이고 정확한 시스템을 개발하였다.

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High Dynamic Range Imaging Using Inverted Local Patterns with Saturation Compensation (포화도 보상의 반전 지역 패턴을 이용한 HDR 영상화)

  • Kwon, Oh Seol
    • Journal of Broadcast Engineering
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    • v.23 no.5
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    • pp.714-717
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    • 2018
  • This paper presents a method of HDR imaging with adaptive saturation compensation for brightness change. The saturation of HDR images were lighten on dark region because conventional HDR methods have focused on brightness change. Therefore, the proposed HDR method compensates saturation adaptively according to brightness change. For experiments of several images, the proposed algorithm is superior to conventional HDR methods qualitatively and quantitatively in terms of color saturation.

Analysis of Color Visualization in High Dynamic Range Image (높은 동적 범위 영상에서 색상 시각화 분석)

  • Lee, Yong-Hwan;Kim, Heung-Jun;Kim, Bong-Gi
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • pp.705-708
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    • 2015
  • High dynamic range (HDR) imaging is a techniques used in imaging to reproduce a greater dynamic range of luminosity than is possible with standard digital imaging. Tone mapping of HDR images for realistic display is commonly studied. However, scientific visualization of HDR image for analysis of scene luminance has much less attention. In this paper, we present and implement a simple approach for the reproduction and visualization of color information in HDR images. We attempt several simple color visualizing functions, and estimate their effectiveness through the evaluation factors with common HDR images.

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Ghost-free High Dynamic Range Imaging Based on Brightness Bitmap and Hue-angle Constancy (밝기 비트맵과 색도 일관성을 이용한 무 잔상 High Dynamic Range 영상 생성)

  • Yuan, Xi;Ha, Ho-Gun;Lee, Cheol-Hee;Ha, Yeong-Ho
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.1
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    • pp.111-120
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    • 2015
  • HDR(High dynamic range) imaging is a technique to represent a dynamic range of real world. Exposure fusion is a method to obtain a pseudo-HDR image and it directly fuses multi-exposure images instead of generating the true-HDR image. However, it results ghost artifacts while fusing the multi-exposure images with moving objects. To solve this drawback, temporal consistency assessment is proposed to remove moving objects. Firstly, multi-level threshold bitmap and brightness bitmap are proposed. In addition, hue-angle constancy map between multi-exposure images is proposed for compensating a bitmap. Then, two bitmaps are combined as a temporal weight map. Spatial domain image quality assessment is used to generate a spatial weight map. Finally, two weight maps are applied at each multi-exposure image and combined to get the pseudo-HDR image. In experiments, the proposed method reduces ghost artifacts more than previous methods. The quantitative ghost-free evaluation of the proposed method is also less than others.

Color Correction Method for High Dynamic Range Image Using Dynamic Cone Response Function (동적 원추 세포 응답을 이용한 높은 동적 폭을 갖는 영상 색상 보정 방법)

  • Choi, Ho-Hyoung;Yun, Byoung-Ju
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.9
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    • pp.104-112
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    • 2012
  • Recently, the HDR imaging technique that mimics human eye is incorporated with LCD/LED display devices to deal with mismatch between the real world scene and the displayed image. However, HDR image has a veiling glare limit as well as a scale of the local contrast problem. In order to overcome these problems, several color correction methods, CSR(center/surround Retinex), MSR (Multi-Scale Retinex), tone-mapping method, iCAM06 and so on, are proposed. However, these methods have a dominated color throughout the entire resulting image after performing color correction. Accordingly, this paper presents a new color correction method using dynamic cone response function. The proposed color correction method consists of tone-mapping and dynamic cone response. The tone-mapping is obtained by using a linear interpolation between chromatic and achromatic. Thereafter, the resulting image is processed through the dynamic cone response function, which estimates the dynamic responses of human visual system as well as deals with mismatch between the real scene image and the rendered image. The experiment results show that the proposed method yields better performance of color correction over the conventional methods.