• Title/Summary/Keyword: High Dynamic Range Image

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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.

Multi-scale Decomposition tone mapping using Guided Image Filter (가이디드 이미지 필터를 이용한 다중 스케일 분할 톤 매핑 기법)

  • Gao, Ming;Jeong, Jechang
    • Journal of Broadcast Engineering
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    • v.23 no.4
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    • pp.474-483
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    • 2018
  • In this paper, we propose a multi-scale high dynamic range (HDR) tone mapping algorithm using guided image filter (GIF). The GIF is used to divide an image into a base layer and a detail layer, then the range of the detail layer is reduced with a compression function to enhance the detail information of the image. However, in most cases, an image includes the detail and edge information in different scales. That is to say, it is difficult to represent all detail features under a certain scale, and a single-scale image decomposition method is not free from artifacts around edges. To solve the problems, the multi-scale image decomposition method is proposed. It utilizes the detail layers of several scale to determine how much edge is preserved. Experiment results show that the proposed algorithm has better image performance in preserving edge compared to conventional algorithm.

Operation of a wide dynamic range CMOS image sensor based on dual sampling mechanism and its SPICE simulation (이중 샘플링 기반의 넓은 동작 범위 CMOS 이미지 센서의 동작 및 시뮬레이션을 통한 특성 분석)

  • Kong, Jae-Sung;Jo, Sung-Hyun;Lee, Soo-Yeun;Choi, Kyung-Hwa;Seo, Sang-Ho;Shin, Jang-Kyoo
    • Journal of Sensor Science and Technology
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    • v.19 no.4
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    • pp.285-290
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    • 2010
  • In this paper, a dynamic range(DR) extension technique based on a 3-transistor active pixel sensor(APS) and dual image sampling is proposed. The feature of the proposed APS is that the APS uses two or more photodiodes with different sensitivities, such as a high-sensitivity photodiode and a low-sensitivity photodiode. Compared with previously proposed wide DR(WDR) APS, the proposed approach has several advantages, such as no-external equipments or signal processing, no-additional time-requirement for additional charge accumulation, simple operation and adjustable DR extension by controlling parasitic capacitance and sensitivity of two photodiodes. Approximately 16 dB of DR extension was evaluated from the simulation for the situation of 10 times of sensitivity difference and the same size of parasitic capacitance between those two photodiodes.

A Tone Mapping Algorithm Based on Multi-scale Decomposition

  • Li, Weizhong;Yi, Benshun;Huang, Taiqi;Yao, Weiqing;Peng, Hong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.4
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    • pp.1846-1863
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    • 2016
  • High dynamic range (HDR) images can present the perfect real scene and rich color information. A commonly encountered problem in practical applications is how to well visualize HDR images on standard display devices. In this paper, we propose a multi-scale decomposition method using guided filtering for HDR image tone mapping. In our algorithm, HDR images are directly decomposed into three layers:base layer, coarse scale detail layer and fine detail layer. We propose an effective function to compress the base layer and the coarse scale detail layer. An adaptive function is also proposed for detail adjustment. Experimental results show that the proposed algorithm effectively accomplishes dynamic range compression and maintains good global contrast as well as local contrast. It also presents more image details and keeps high color saturation.

Measurement of Visibility about Image (영상에 대한 이미지 선명도 측정)

  • Yu, Ji-Chul;Kim, Yung-Kil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.2
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    • pp.327-331
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    • 2005
  • In this paper, Another way to measure the visibility of image is presented, and this way is different with existing way which is measured by filtering such as High pass, Low pass. Dynamic range, Gray level and Condition Curve Graph is used among much information of histogram, and the output is limited by log scale. As a result, I can confirm that the output is reasonable. With this output, I present that the possibility of another way to measure the visibility of image is existing.

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

  • Park, Tae Jang;Park, In Kyu
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2010.11a
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    • pp.89-90
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    • 2010
  • 기존의 HDR (high dynamic range) 영상취득 기법은 한 장의 HDR 영상을 얻기 위해 여러 장의 LDR (low dynamic range) 영상을 취득하기 때문에 영상 취득에 많은 시간이 소요된다. 본 논문에서는 이런 단점을 보안하기 위해 두 장의 LDR 영상을 이용하여 평균 밝기 값에 대한 노출 곡선을 추정한다. 그리고 추정된 노출곡선을 이용하여 밝은 영상과 어두운 영상 각각의 최적의 노출 시간을 취득하는 기법을 제안한다.

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HDR Image Synthesis Using Truncated Nuclear Norm Minimization (Truncated Nuclear Norm 최소화를 이용한 HDR 영상 합성)

  • Lee, Chul
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2015.11a
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    • pp.108-109
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    • 2015
  • 본 논문은 low-rank 행렬의 truncated nuclear norm 최소화를 이용한 HDR (high dynamic range) 영상 합성 기법을 제안한다. 제안하는 기법에서는 기존의 LDR (low dynamic range) 영상에서 얻은 밝기의 선형 관계에 기반하여 HDR 합성을 low-rank 행렬 완성 문제로 변환한 후, ALM (augmented Lagrange multiplier) 기법을 이용하여 효율적으로 최적의 해를 구한다. 컴퓨터 모의실험을 통해 제안하는 기법이 기존 기법에 비해서 낮은 계산 복잡도를 보이면서도 더 높은 품질의 HDR 영상을 합성하는 것을 확인한다.

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A Color Correction Method for High-Dynamic-Range Images Based on Human Visual Perception (인간 시각 인지에 기반을 둔 높은 동적폭을 갖는 영상 보정 방법)

  • Choi, Ho-Hyoung;Song, Jae-Wook;Jung, Na-Ra;Kang, Hyun-Soo
    • Journal of Korea Multimedia Society
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    • v.18 no.9
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    • pp.1027-1038
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    • 2015
  • For last several decades, the color correction methods have been proposed for HDR(high dynamic range) images. However, color distortion problems take place after correcting the colors such as halos, dominant color as well known. Accordingly, this article presents a novel approach in which the method consists of tone-mapping method and cone response function. In the proposed method, the tone mapping method is used to improve the contrast in the given HDR image based on chromatic and achromatic based on the CIEXYZ tristimulus value, expressed in c/m2. The cone response function is used to deal with mismatch between corrected image and displayed image as well as to estimate various human visual effects based on the CMCAT2000 color appearance model. The experimental results show that the proposed method yields better performance of color correction over the conventional method in subjective and quantitative quality, and color reproduction.

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.

Calibration of ShadowCam

  • David Carl Humm;Mallory Janet Kinczyk;Scott Michael Brylow;Robert Vernon Wagner;Emerson Jacob Speyerer;Nicholas Michael Estes;Prasun Mahanti;Aaron Kyle Boyd;Mark Southwick Robinson
    • Journal of Astronomy and Space Sciences
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    • v.40 no.4
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    • pp.173-197
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    • 2023
  • ShadowCam is a high-sensitivity, high-resolution imager provided by NASA for the Danuri (KPLO) lunar mission. ShadowCam calibration shows that it is well suited for its purpose, to image permanently shadowed regions (PSRs) that occur near the lunar poles. It is 205 times as sensitive as the Lunar Reconnaissance Orbiter Camera (LROC) Narrow Angle Camera (NAC). The signal to noise ratio (SNR) is greater than 100 over a large part of the dynamic range, and the top of the dynamic range is high enough to accommodate most brighter PSR pixels. The optical performance is good enough to take full advantage of the 1.7 meter/pixel image scale, and calibrated images have uniform response. We describe some instrument artifacts that are amenable to future corrections, making it possible to improve performance further. Stray light control is very challenging for this mission. In many cases, ShadowCam can image shadowed areas with directly illuminated terrain in or near the field of view (FOV). We include thorough qualitative descriptions of circumstances under which lunar brightness levels far higher than the top of the dynamic range cause detector or stray light artifacts and the size and extent of the artifact signal under those circumstances.