Deep learning for hdr imaging: State-of-the-art and future trends
High dynamic range (HDR) imaging is a technique that allows an extensive dynamic range
of exposures, which is important in image processing, computer graphics, and computer …
of exposures, which is important in image processing, computer graphics, and computer …
A review on machine learning algorithms to predict daylighting inside buildings
M Ayoub - Solar energy, 2020 - Elsevier
Steep increases in air temperatures and CO 2 emissions have been associated with the
global demand for energy. This is coupled with population growth and improved living …
global demand for energy. This is coupled with population growth and improved living …
HDR image reconstruction from a single exposure using deep CNNs
Camera sensors can only capture a limited range of luminance simultaneously, and in order
to create high dynamic range (HDR) images a set of different exposures are typically …
to create high dynamic range (HDR) images a set of different exposures are typically …
Single-image HDR reconstruction by learning to reverse the camera pipeline
Recovering a high dynamic range (HDR) image from a single low dynamic range (LDR)
input image is challenging due to missing details in under-/over-exposed regions caused by …
input image is challenging due to missing details in under-/over-exposed regions caused by …
End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging
In typical cameras the optical system is designed first; once it is fixed, the parameters in the
image processing algorithm are tuned to get good image reproduction. In contrast to this …
image processing algorithm are tuned to get good image reproduction. In contrast to this …
Text2light: Zero-shot text-driven hdr panorama generation
High-quality HDRIs (High Dynamic Range Images), typically HDR panoramas, are one of
the most popular ways to create photorealistic lighting and 360-degree reflections of 3D …
the most popular ways to create photorealistic lighting and 360-degree reflections of 3D …
Omnidepth: Dense depth estimation for indoors spherical panoramas
Recent work on depth estimation up to now has only focused on projective images ignoring
360 content which is now increasingly and more easily produced. We show that monocular …
360 content which is now increasingly and more easily produced. We show that monocular …
Expandnet: A deep convolutional neural network for high dynamic range expansion from low dynamic range content
D Marnerides, T Bashford‐Rogers… - Computer Graphics …, 2018 - Wiley Online Library
High dynamic range (HDR) imaging provides the capability of handling real world lighting as
opposed to the traditional low dynamic range (LDR) which struggles to accurately represent …
opposed to the traditional low dynamic range (LDR) which struggles to accurately represent …
Deeplight: Learning illumination for unconstrained mobile mixed reality
We present a learning-based method to infer plausible high dynamic range (HDR),
omnidirectional illumination given an unconstrained, low dynamic range (LDR) image from a …
omnidirectional illumination given an unconstrained, low dynamic range (LDR) image from a …
Learning rank-1 diffractive optics for single-shot high dynamic range imaging
High-dynamic range (HDR) imaging is an essential imaging modality for a wide range of
applications in uncontrolled environments, including autonomous driving, robotics, and …
applications in uncontrolled environments, including autonomous driving, robotics, and …