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Super-resolution: a comprehensive survey
Super-resolution, the process of obtaining one or more high-resolution images from one or
more low-resolution observations, has been a very attractive research topic over the last two …
more low-resolution observations, has been a very attractive research topic over the last two …
Low illumination underwater light field images reconstruction using deep convolutional neural networks
Underwater optical images are usually influenced by low lighting, high turbidity scattering
and wavelength absorption. To solve these issues, a great deal of work has been performed …
and wavelength absorption. To solve these issues, a great deal of work has been performed …
Deep depth completion of a single rgb-d image
The goal of our work is to complete the depth channel of an RGB-D image. Commodity-
grade depth cameras often fail to sense depth for shiny, bright, transparent, and distant …
grade depth cameras often fail to sense depth for shiny, bright, transparent, and distant …
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 …
Color-guided depth recovery from RGB-D data using an adaptive autoregressive model
This paper proposes an adaptive color-guided autoregressive (AR) model for high quality
depth recovery from low quality measurements captured by depth cameras. We observe and …
depth recovery from low quality measurements captured by depth cameras. We observe and …
Edge-guided single depth image super resolution
Recently, consumer depth cameras have gained significant popularity due to their affordable
cost. However, the limited resolution and the quality of the depth map generated by these …
cost. However, the limited resolution and the quality of the depth map generated by these …
Depth video enhancement based on weighted mode filtering
This paper presents a novel approach for depth video enhancement. Given a high-
resolution color video and its corresponding low-quality depth video, we improve the quality …
resolution color video and its corresponding low-quality depth video, we improve the quality …
Fast guided global interpolation for depth and motion
We study the problems of upsampling a low-resolution depth map and interpolating an initial
set of sparse motion matches, with the guidance from a corresponding high-resolution color …
set of sparse motion matches, with the guidance from a corresponding high-resolution color …
Sparse depth super resolution
We describe a method to produce detailed high resolution depth maps from aggressively
subsampled depth measurements. Our method fully uses the relationship between image …
subsampled depth measurements. Our method fully uses the relationship between image …
Joint super resolution and denoising from a single depth image
This paper describes a new algorithm for depth image super resolution and denoising using
a single depth image as input. A robust coupled dictionary learning method with locality …
a single depth image as input. A robust coupled dictionary learning method with locality …