Multi-exposure image fusion techniques: A comprehensive review
F Xu, J Liu, Y Song, H Sun, X Wang - Remote Sensing, 2022 - mdpi.com
Multi-exposure image fusion (MEF) is emerging as a research hotspot in the fields of image
processing and computer vision, which can integrate images with multiple exposure levels …
processing and computer vision, which can integrate images with multiple exposure levels …
[PDF][PDF] Deep high dynamic range imaging of dynamic scenes.
Standard digital cameras typically take images with under/overexposed regions because of
their sensors' limited dynamic range. The most common way to capture high dynamic range …
their sensors' limited dynamic range. The most common way to capture high dynamic range …
A trilateral weighted sparse coding scheme for real-world image denoising
Most of existing image denoising methods assume the corrupted noise to be additive white
Gaussian noise (AWGN). However, the realistic noise in real-world noisy images is much …
Gaussian noise (AWGN). However, the realistic noise in real-world noisy images is much …
The state of the art in HDR deghosting: A survey and evaluation
Obtaining a high quality high dynamic range (HDR) image in the presence of camera and
object movement has been a long‐standing challenge. Many methods, known as HDR …
object movement has been a long‐standing challenge. Many methods, known as HDR …
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 …
High dynamic range imaging
E Reinhard - Computer Vision: A Reference Guide, 2020 - Springer
High dynamic range (HDR) imaging comprises a range of techniques for capturing, storing,
editing, transmitting, and displaying images and video with an extended range of values …
editing, transmitting, and displaying images and video with an extended range of values …
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 …
Robust high dynamic range imaging by rank minimization
This paper introduces a new high dynamic range (HDR) imaging algorithm which utilizes
rank minimization. Assuming a camera responses linearly to scene radiance, the input low …
rank minimization. Assuming a camera responses linearly to scene radiance, the input low …
Neural auto-exposure for high-dynamic range object detection
Real-world scenes have a dynamic range of up to 280 dB that today's imaging sensors
cannot directly capture. Existing live vision pipelines tackle this fundamental challenge by …
cannot directly capture. Existing live vision pipelines tackle this fundamental challenge by …
Dense SIFT for ghost-free multi-exposure fusion
Due to the limited capture range of common imaging sensors, a scene with high dynamic
range usually cannot be well described by a single still image because some regions in it …
range usually cannot be well described by a single still image because some regions in it …