Deep learning for hdr imaging: State-of-the-art and future trends
L Wang, KJ Yoon - IEEE transactions on pattern analysis and …, 2021 - ieeexplore.ieee.org
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 …
Deep optics for single-shot high-dynamic-range imaging
Abstract High-dynamic-range (HDR) imaging is crucial for many applications. Yet, acquiring
HDR images with a single shot remains a challenging problem. Whereas modern deep …
HDR images with a single shot remains a challenging problem. Whereas modern deep …
Neural sensors: Learning pixel exposures for HDR imaging and video compressive sensing with programmable sensors
Camera sensors rely on global or rolling shutter functions to expose an image. This fixed
function approach severely limits the sensors' ability to capture high-dynamic-range (HDR) …
function approach severely limits the sensors' ability to capture high-dynamic-range (HDR) …
Lan-hdr: Luminance-based alignment network for high dynamic range video reconstruction
As demands for high-quality videos continue to rise, high-resolution and high-dynamic
range (HDR) imaging techniques are drawing attention. To generate an HDR video from low …
range (HDR) imaging techniques are drawing attention. To generate an HDR video from low …
Spatially varying exposure with 2-by-2 multiplexing: Optimality and universality
The advancement of new digital image sensors has enabled the design of exposure
multiplexing schemes where a single image capture can have multiple exposures and …
multiplexing schemes where a single image capture can have multiple exposures and …
Polarization guided HDR reconstruction via pixel-wise depolarization
Taking photos with digital cameras often accompanies saturated pixels due to their limited
dynamic range, and it is far too ill-posed to restore them. Capturing multiple low dynamic …
dynamic range, and it is far too ill-posed to restore them. Capturing multiple low dynamic …
Mantissacam: Learning snapshot high-dynamic-range imaging with perceptually-based in-pixel irradiance encoding
The ability to image high-dynamic-range (HDR) scenes is crucial in many computer vision
applications. The dynamic range of conventional sensors, however, is fundamentally limited …
applications. The dynamic range of conventional sensors, however, is fundamentally limited …
Pix2HDR-A pixel-wise acquisition and deep learning-based synthesis approach for high-speed HDR videos
Accurately capturing dynamic scenes with wideranging motion and light intensity is crucial
for many vision applications. However, acquiring high-speed high dynamic range (HDR) …
for many vision applications. However, acquiring high-speed high dynamic range (HDR) …
[HTML][HTML] Pixel-wise exposure control for single-shot HDR imaging: A joint optimization approach
Dynamic range is one of the primary limitations that restricts digital image sensors from
acquiring more visual information. Current high dynamic range (HDR) imaging techniques …
acquiring more visual information. Current high dynamic range (HDR) imaging techniques …
Deep snapshot HDR imaging using multi-exposure color filter array
In this paper, we propose a deep snapshot high dynamic range (HDR) imaging framework
that can effectively reconstruct an HDR image from the RAW data captured using a multi …
that can effectively reconstruct an HDR image from the RAW data captured using a multi …