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In-Orbit MapAnything: An Enhanced Feed-Forward Metric Framework for 3D Reconstruction of Non-Cooperative Space Targets Under Complex Lighting. [PDF]
Lu Y +6 more
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Dosimetric comparison between manual and inverse optimization methods in high-dose-rate intracavitary/ interstitial cervical cancer brachytherapy for two treatment planning systems. [PDF]
Mahe L +7 more
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Image Brightness Quantification for HDR
2020 28th European Signal Processing Conference (EUSIPCO), 2021Images’ brightness quantification is challenging due to the perceptual nature of brightness. In Standard Dynamic Range (SDR), the most common brightness quantification metrics are the Average Picture Level (APL) and the Frame Average Luminance Level (FALL).
Stelios E. Ploumis +2 more
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Color and Imaging Conference, 2003
Color imaging systems are continuously improving, and have now improved to the point of capturing high dynamic range scenes. Unfortunately most commercially available color display devices, such as CRTs and LCDs, are limited in their dynamic range. It is necessary to tone-map, or render, the high dynamic range images in order to display them onto a ...
Johnson, Garrett, Fairchild, Mark
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Color imaging systems are continuously improving, and have now improved to the point of capturing high dynamic range scenes. Unfortunately most commercially available color display devices, such as CRTs and LCDs, are limited in their dynamic range. It is necessary to tone-map, or render, the high dynamic range images in order to display them onto a ...
Johnson, Garrett, Fairchild, Mark
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Generating stereoscopic HDR images using HDR-LDR image pairs
ACM Transactions on Applied Perception, 2013A number of novel imaging technologies have been gaining popularity over the past few years. Foremost among these are stereoscopy and high dynamic range (HDR) Imaging. While a large body of research has looked into each of these imaging technologies independently, very little work has attempted to combine them.
Elmedin Selmanovic +3 more
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Radiometric calibration for HDR imaging
2015 IEEE International Conference on Image Processing (ICIP), 2015In this paper we present a method to estimate the radiance map and camera response function for high dynamic range (HDR) imaging which is devoid of free parameters and can reliably recover HDR images with as few as two low-dynamic range (LDR) views acquired at different exposures.
Ahmed Sohaib, Antonio Robles-Kelly
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