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High-dynamic-range imaging

About: High-dynamic-range imaging is a research topic. Over the lifetime, 766 publications have been published within this topic receiving 22577 citations.


Papers
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Proceedings ArticleDOI
28 Jul 2010
TL;DR: This paper proposes a tone mapping algorithm which takes display ambient light into account, and simulation results shows that the proposed algorithm has perfect effect.
Abstract: Emergence of High dynamic range imaging (HDRI) raises the issue of how to display HDR data on low dynamic range (LDR) display devices. In recent years many Tone Mapping Operators (TMOs) have been presented in order to display HDRI on typical display devices. In this paper, we propose a tone mapping algorithm which takes display ambient light into account, simulation results shows that the proposed algorithm has perfect effect.
01 Jan 2010
TL;DR: In this article, a coarse-to-fine image registration method is proposed for image alignment in mobile imaging applications, which is robust to blur and noise image degradations, as well as to illumination changes.
Abstract: We present an approach to global image registration that allows a robust and efficient image alignment, required in various mobile imaging applications (e.g. multi-frame image enhancement, high dynamic range imaging, panoramic image stitching). The proposed method follows a coarse to fine strategy, adopting different registration techniques at coarse and fine resolution levels. Coarse levels are registered using an image- based approach, whereas fine levels are registered based on salient features detected in the two images. The method is robust to blur and noise image degradations, as well as to illumination changes. In addition, due to low computational complexity, the proposed method is included in several mobile imaging applications that are briefly summarized in the paper. I. INTRODUCTION
Book ChapterDOI
01 Jan 2015
Patent
18 Dec 2018
TL;DR: In this paper, a single-frame high dynamic range imaging method and system is proposed, which includes setting one or more different dynamic voltage curves inthe EEPROM of the image sensor, each dynamic voltage curve including n dynamic voltage values; reading n dynamic voltages in the RAM into the RAM to provide the voltage values to the transfer transistors connected to the photodiodes before the exposure starts; in the exposure process of acquiring a single frame image, reading the ith dynamic voltage value from the RAM at intervals and applied to the gate of the transfer transistor to adjust
Abstract: The invention provides a single frame high dynamic range imaging method and system. The single frame high dynamic range imaging method includes setting one or more different dynamic voltage curves inthe EEPROM of the image sensor, each dynamic voltage curve including n dynamic voltage values; reading n dynamic voltage values in the EEPROM into the RAM to provide the dynamic voltage values to thetransfer transistors connected to the photodiodes before the exposure starts; in the exposure process of acquiring a single frame image, reading the ith dynamic voltage value from the RAM at intervalsTi and applied to the gate of the transfer transistor to adjust the charge storage capacity of the pixel circuit; at that end of the exposure, converting the accumulate electric signal collected by the pixel circuit into a digital signal to be output in an image format. By dynamically adjusting the exposure saturation value in the exposure process, the accumulated charge amount in the exposure process is limited, and the charge storage amount is effectively collected within the maximum saturation value after the exposure, and the high dynamic imaging of a single frame is realized.
Journal ArticleDOI
01 Jan 2022
TL;DR: In this article , the authors show that the performance of HDR metrics is worse than that of a classic, simple standard dynamic range (SDR) metric applied directly to the HDR content, and that the chrominance metrics specifically developed for HDR/WCG imaging have poor correlation with observer scores.
Abstract: In the quality evaluation of high dynamic range and wide color gamut (HDR/WCG) images, a number of works have concluded that native HDR metrics, such as HDR visual difference predictor (HDR-VDP), HDR video quality metric (HDR-VQM), or convolutional neural network (CNN)-based visibility metrics for HDR content, provide the best results. These metrics consider only the luminance component, but several color difference metrics have been specifically developed for, and validated with, HDR/WCG images. In this paper, we perform subjective evaluation experiments in a professional HDR/WCG production setting, under a real use case scenario. The results are quite relevant in that they show, firstly, that the performance of HDR metrics is worse than that of a classic, simple standard dynamic range (SDR) metric applied directly to the HDR content; and secondly, that the chrominance metrics specifically developed for HDR/WCG imaging have poor correlation with observer scores and are also outperformed by an SDR metric. Based on these findings, we show how a very simple framework for creating color HDR metrics, that uses only luminance SDR metrics, transfer functions, and classic color spaces, is able to consistently outperform, by a considerable margin, state-of-the-art HDR metrics on a varied set of HDR content, for both perceptual quantization (PQ) and Hybrid Log-Gamma (HLG) encoding, luminance and chroma distortions, and on different color spaces of common use.

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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202333
202260
202129
202034
201937
201837