The depth maps obtained by the consumer-level sensors are always noisy in the low-
resolution (LR) domain. Existing methods for the guided depth super-resolution, which are …

Recently, deep convolutional neural network sho-ws significant improvement for intensity-
guided depth map enhancement. The most networks focus on either increasing depth or …

Being different from the most methods of guided depth map enhancement based on deep
convolutional neural network which focus on increasing the depth of networks, this paper is …

This paper presents a method for increasing spatial resolution of a depth map using its
corresponding high-resolution (HR) color image as a guide. Most of the previous methods …

Guided depth map enhancement based on Markov random field (MRF) normally assumes
edge consistency between the color image and the corresponding depth map. Under this …

This study presents a real‐time refinement procedure for depth data acquired by RGB‐D
cameras. Data from RGB‐D cameras suffer from undesired artefacts such as edge …

This paper proposes a unified multi-lateral filter to efficiently increase the spatial resolution
of low-resolution and noisy depth maps in real-time. Time-of-Flight (ToF) cameras have …

Display technologies have evolved over the years. It is critical to develop practical HDR
capturing, processing, and display solutions to bring 3D technologies to the next level …

Multi-frame super-resolution is the process of recovering a high resolution image or video
from a set of captured low resolution images. Super-resolution approaches have been …

In this paper, we propose an innovative approach for the production of the microimages
ready to display onto an integral-imaging monitor. Our main contribution is using a stereo …