Guided depth map super-resolution: A survey
Guided depth map super-resolution (GDSR), which aims to reconstruct a high-resolution
depth map from a low-resolution observation with the help of a paired high-resolution color …
depth map from a low-resolution observation with the help of a paired high-resolution color …
Recent advances in adaptive sampling and reconstruction for Monte Carlo rendering
Monte Carlo integration is firmly established as the basis for most practical realistic image
synthesis algorithms because of its flexibility and generality. However, the visual quality of …
synthesis algorithms because of its flexibility and generality. However, the visual quality of …
LLNet: A deep autoencoder approach to natural low-light image enhancement
In surveillance, monitoring and tactical reconnaissance, gathering visual information from a
dynamic environment and accurately processing such data are essential to making informed …
dynamic environment and accurately processing such data are essential to making informed …
A fusion-based enhancing method for weakly illuminated images
We propose a straightforward and efficient fusion-based method for enhancing weakly
illumination images that uses several mature image processing techniques. First, we employ …
illumination images that uses several mature image processing techniques. First, we employ …
Weighted guided image filtering
It is known that local filtering-based edge preserving smoothing techniques suffer from halo
artifacts. In this paper, a weighted guided image filter (WGIF) is introduced by incorporating …
artifacts. In this paper, a weighted guided image filter (WGIF) is introduced by incorporating …
Perceptual fusion of infrared and visible images through a hybrid multi-scale decomposition with Gaussian and bilateral filters
In order to achieve perceptually better fusion of infrared (IR) and visible images than
conventional pixel-level fusion algorithms based on multi-scale decomposition (MSD), we …
conventional pixel-level fusion algorithms based on multi-scale decomposition (MSD), we …
Model adaptation with synthetic and real data for semantic dense foggy scene understanding
This work addresses the problem of semantic scene understanding under dense fog.
Although considerable progress has been made in semantic scene understanding, it is …
Although considerable progress has been made in semantic scene understanding, it is …
[HTML][HTML] edxia: Microstructure characterisation from quantified SEM-EDS hypermaps
The characterisation of cement paste microstructure is an important step towards
understanding durability mechanisms in cementitious materials. Scanning electron …
understanding durability mechanisms in cementitious materials. Scanning electron …
Openillumination: A multi-illumination dataset for inverse rendering evaluation on real objects
We introduce OpenIllumination, a real-world dataset containing over 108K images of 64
objects with diverse materials, captured under 72 camera views and a large number of …
objects with diverse materials, captured under 72 camera views and a large number of …
Image fusion based on pixel significance using cross bilateral filter
BK Shreyamsha Kumar - Signal, image and video processing, 2015 - Springer
Like bilateral filter (BF), cross bilateral filter (CBF) considers both gray-level similarities and
geometric closeness of the neighboring pixels without smoothing edges, but it uses one …
geometric closeness of the neighboring pixels without smoothing edges, but it uses one …