Results 11 to 20 of about 398,318 (257)
Perceptual Tone Mapping Model for High Dynamic Range Imaging
One of the key challenges in tone mapping is to preserve the perceptual quality of high dynamic range (HDR) images when mapping them to standard dynamic range (SDR) displays.
Imran Mehmood +3 more
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Characterization for High Dynamic Range Imaging [PDF]
AbstractIn this paper we present a new practical camera characterization technique to improve color accuracy in high dynamic range (HDR) imaging. Camera characterization refers to the process of mapping device‐dependent signals, such as digital camera RAW images, into a well‐defined color space.
Kim, M.H., Kautz, J.
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High dynamic range processing for magnetic resonance imaging. [PDF]
To minimize feature loss in T1- and T2-weighted MRI by merging multiple MR images acquired at different TR and TE to generate an image with increased dynamic range.High Dynamic Range (HDR) processing techniques from the field of photography were applied ...
Andy H Hung +3 more
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Foreword – High dynamic range imaging [PDF]
High Dynamic Range (HDR) imagery is a step-change in imaging technology that is not limited to the 8-bits per pixel for each color channel that traditional or low-dynamic range digital images have been constrained to. These restrictions have meant that the current and relatively novel imaging technologies including stereoscopic, HD and ultraHD imaging ...
Luís Paulo Santos, Kurt Debattista
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Pyramidal Feature Adjustment Networks for High Dynamic Range Imaging of Dynamic Scenes
Multi-exposure high dynamic range (HDR) imaging aims to generate an HDR image from multiple low dynamic range (LDR) images. There are two main challenges in this task; camera and object motions causing ghost artifacts and over/under-exposure areas having
Haesoo Chung, Nam Ik Cho
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Single-Shot High Dynamic Range Imaging via Multiscale Convolutional Neural Network
We propose a single-shot high dynamic range (HDR) imaging algorithm with row-wise varying exposures in a single raw image based on a deep convolutional neural network (CNN). We first convert a raw Bayer input image into a radiance map by calibrating rows
An Gia Vien, Chul Lee
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Exposure-Structure Blending Network for High Dynamic Range Imaging of Dynamic Scenes
This paper presents a deep end-to-end network for high dynamic range (HDR) imaging of dynamic scenes with background and foreground motions. Generating an HDR image from a sequence of multi-exposure images is a challenging process when the images have ...
Sang-Hoon Lee, Haesoo Chung, Nam Ik Cho
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Visualization of high dynamic range images [PDF]
A novel paradigm for information visualization in high dynamic range images is presented in this paper. These images, real or synthetic, have luminance with typical ranges many orders of magnitude higher than that of standard output/viewing devices, thereby requiring some processing for their visualization.
Pardo, Alvaro, Sapiro, Guillermo
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High-throughput high-dynamic range imaging by spatiotemporally structured illumination
Recent advances in biochemistry and optics have enabled observation of the faintest signals from even single molecules. However, although biological samples can have varying degrees of fluorescence expression ranging from a single to thousands of ...
Taeseong Woo +7 more
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Thermal Imaging Metrology Using High Dynamic Range Near-Infrared Photovoltaic-Mode Camera
The measurement of a wide temperature range in a scene requires hardware capable of high dynamic range imaging. We describe a novel near-infrared thermal imaging system operating at a wavelength of 940 nm based on a commercial photovoltaic mode high ...
Thomas B. O. Rockett +3 more
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