• Title/Summary/Keyword: High Dynamic Range (HDR)

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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.

HDR/WCG 비디오 서비스를 위한 표준화 동향

  • Gang, Jeong-Won;Lee, Jin-Ho;Jeon, Dong-San;Kim, Hwi-Yong
    • Broadcasting and Media Magazine
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    • v.20 no.4
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    • pp.28-37
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    • 2015
  • 비디오의 사실감을 극대화하기 위하여 근래에 HDTV에서 지원하는 명암비(dynamic range)와 색역(color gamut)보다 넓은 고명암비(HDR, High Dynamic Range) 및 넓은 광색역(WCG, Wide Color Gamut)을 제공하기 위한 연구가 활발하게 진행되고 있으며, 다양한 표준화가 여러 표준화 단체에서 진행되고 있다. 본 논문에서는 고명암비 및 광색역 비디오 서비스를 위한 다양한 분야의 표준화 동향을 살펴보고자 한다.

A Tone Mapping Method by Local Contrast and Detail Enhancement for High Dynamic Range Images

  • Kim, Beom-Yong;Hwang, Bo-Hyun;Yun, Jong-Ho;Choi, Myung-Ryul
    • 한국정보디스플레이학회:학술대회논문집
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    • 2008.10a
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    • pp.741-744
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    • 2008
  • In this paper, tone mapping method by local contrast and detail enhancement for High Dynamic Range (HDR) is proposed. By applying Piecewise Dynamic Range Histogram Adjustment (PDRHA) and Detail Enhancement Volume (DEV) with decomposed layers, tone mapping is performed effectively. The experimental results show that the proposed method preserves local contrast and overall impression with naturalness of original images.

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Methodological study on the High Dynamic Range Imaging Processing (채광·조명설비시스템의 광학 분석을 위한 이미지 프로세싱 기법에 관한 연구)

  • Lim, Hong Soo;Kim, Gon
    • KIEAE Journal
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    • v.10 no.4
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    • pp.3-8
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    • 2010
  • Recently, various daylight evaluation methods for visual environment have been developed; simulation analysis methods, numerical calculation, and data monitoring methods. However, it is impossible for simulation analysis to make real scenes and visualize real images exactly. Also, a numerical calculation is considered as an out of date and time-consuming mean. Therefore, for acquisition of accurate results, many studies often use the monitoring data methods. Especially, most studies regarding discomfort glare are evaluated by measuring the physical quantity of luminance through traditional measuring Minolta Luminance meters as an instrument. But, this method has a difficulty in measuring several points at the same time because of the limitation of spaces and time when mapping. So, this study focused on the potential usefulness of High Dynamic Range photography technique as a luminance mapping tool. In order to evaluate the accuracy of proposed programs such as webHDR, Photomatix and PHOTOLUX, this paper has conducted an experiment by using Canon EOS 5D and NICON Coolpix8400 digital camera.

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.

Image Filtering Method for an Effective Inverse Tone-mapping (효과적인 역 톤 매핑을 위한 필터링 기법)

  • Kang, Rahoon;Park, Bumjun;Jeong, Jechang
    • Journal of Broadcast Engineering
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    • v.24 no.2
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    • pp.217-226
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    • 2019
  • In this paper, we propose a filtering method that can improve the results of inverse tone-mapping using guided image filter. Inverse tone-mapping techniques have been proposed that convert LDR images to HDR. Recently, many algorithms have been studied to convert single LDR images into HDR images using CNN. Among them, there exists an algorithm for restoring pixel information using CNN which learned to restore saturated region. The algorithm does not suppress the noise in the non-saturation region and cannot restore the detail in the saturated region. The proposed algorithm suppresses the noise in the non-saturated region and restores the detail of the saturated region using a WGIF in the input image, and then applies it to the CNN to improve the quality of the final image. The proposed algorithm shows a higher quantitative image quality index than the existing algorithms when the HDR quantitative image quality index was measured.

Evaluation of Various Tone Mapping Operators for Backward Compatible JPEG Image Coding

  • Choi, Seungcheol;Kwon, Oh-Jin;Jang, Dukhyun;Choi, Seokrim
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.9
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    • pp.3672-3684
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    • 2015
  • Recently, the standardization of backward compatible JPEG image coding for high dynamic range (HDR) image has been undertaken to establish an international standard called "JPEG XT." The JPEG XT consists of two layers: the base layer and the residual layer. The base layer contains tone mapped low dynamic range (LDR) image data and the residual layer contains the error signal used to reconstruct the HDR image. This paper gives the result of a study to evaluate the overall performance of tone mapping operators (TMOs) for this standard. The evaluation is performed using five HDR image datasets and six TMOs for profiles A, B, and C of the proposed JPEG XT standard. The Tone Mapped image Quality Index (TMQI) and no reference image quality assessment (NR IQA) are used for measuring the LDR image quality. The peak signal to noise ratio (PSNR) is used to evaluate the overall compression performance of JPEG XT profiles A, B, and C. In TMQI and NR IQA measurements, TMOs using display adaptive tone mapping and adaptive logarithmic mapping each gave good results. A TMO using adaptive logarithmic mapping gave good PSNRs.

HDR/WCG 영상 압축을 위한 표준 기술 동향

  • Im, Jeong-Yun;Im, Ung;Sim, Dong-Gyu
    • Broadcasting and Media Magazine
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    • v.21 no.1
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    • pp.59-69
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    • 2016
  • 2013년 1월에 완성된 HEVC (High Efficiency Video Coding) 표준은 full HD (High Definition) 해상도를 뛰어넘는 UHD (Ultra High Definition) 초고해상도 영상 서비스 수요를 반영하였으며, 기존의 H.264/AVC 대비 두 배 이상의 압축 성능을 달성하였다. 이러한 초고해상도 영상 서비스와 더불어 현실과 유사한 고명함도 (HDR : High Dynamic Range) 및 광색역 (WCG : Wide Color Gamut) 영상에 대한 수요 또한 증가하고 있다. 이러한 시장의 수요를 반영하여, HDR/WCG와 관련된 국제 표준 단체들에서는 활발한 표준화를 진행하고 있다. 본 고에서는 MPEG에서 진행되는 HDR/WCG 영상의 표준 기술동향에 대해 살펴보고, HDR/WCG 영상의 부호화 효율에 영향을 미치는 기술적 이슈들에 대해 소개한다.

High Dynamic Range Compression using 3D Mesh Processing (삼차원 메쉬 처리를 이용한 고명암 대비 압축)

  • Im, Jong-Guk;Lee, Yun-Jin;Lee, Seung-Yong
    • Journal of the Korea Computer Graphics Society
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    • v.8 no.3
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    • pp.9-16
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    • 2002
  • Recently, high dynamic range (HDR) compression has attracted much attention due to the wide availability of HDR images. In this paper, we present an HDR compression method using a progressive image, which is a multi-level image representation based on a progressive mesh. An HDR image can be decomposed into a base image and a sequence of details by conversion into a progressive image. This decomposition provides a good structure to highly compress the dynamic range while preserving image details. The base image and larger details are considerably scaled down but smaller details are slightly scaled down. Experimental results show that our method successfully generates HDR compressed images without halo artifacts by controlling two intuitive parameters.

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An Image Merging Method for Two High Dynamic Range Images of Different Exposure (노출 시간이 다른 두 HDR 영상의 융합 기법)

  • Kim, Jin-Heon
    • Journal of Korea Multimedia Society
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    • v.13 no.4
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    • pp.526-534
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    • 2010
  • This paper describes an algorithm which merges two HDR pictures taken under different exposure time to display on the LDR devices such as LCD or CRT. The proposed method does not generate the radiance map, but directly merges using the weights computed from the input images. The weights are firstly produced on the pixel basis, and then blended with a Gaussian function. This process prevents some possible sparkle noises caused by radical change of the weights and contributes to smooth connection between 2 image informations. The chrominance informations of the images are merged on the weighted averaging scheme using the deviations of RGB average and their differences. The algorithm is characterized by the feature that it represents well the unsaturated area of 2 original images and the connection of the image information is smooth. The proposed method uses only 2 input images and automatically tunes the whole internal process according to them, thus autonomous operation is possible when it is included in HDR cameras which use double shuttering scheme or double sensor cells.