An improved bilevel optimization approach for image super-resolution based on a fractional diffusion tensor
M Nachaoui, A Laghrib - Journal of the Franklin Institute, 2022 - Elsevier
Variational regularization techniques are widely used to improve the quality of the super-
resolved image. However, the success of these methods depends on some sensitive …
resolved image. However, the success of these methods depends on some sensitive …
ArUcoE: enhanced ArUco marker
O Kedilioglu, TM Bocco… - … and Systems (ICCAS …, 2021 - ieeexplore.ieee.org
This paper presents a novel fiducial marker type called ArUcoE. It is obtained from a
standard ArUco marker by enhancing it with a chessboard-like pattern. With our approach …
standard ArUco marker by enhancing it with a chessboard-like pattern. With our approach …
Residual deep attention mechanism and adaptive reconstruction network for single image super-resolution
H Wang, M Wei, R Cheng, Y Yu, X Zhang - Applied Intelligence, 2022 - Springer
The low-level image processing task single image super-resolution (SISR) has a long
research history. In recent years, convolutional neural networks (CNNs) have been widely …
research history. In recent years, convolutional neural networks (CNNs) have been widely …
OODNet: A deep blind JPEG image compression deblocking network using out-of-distribution detection
SS Ahsan, A Esmaeilzehi, MO Ahmad - Journal of Visual Communication …, 2024 - Elsevier
JPEG is one of the most popular image compression techniques, with numerous
applications ranging from medical imaging to surveillance systems. Since JPEG introduces …
applications ranging from medical imaging to surveillance systems. Since JPEG introduces …
High accuracy Pose Estimation with Computer Vision
TM Bocco - 2021 - webthesis.biblio.polito.it
This thesis aims to develop a Computer Vision system that measures with high accuracy the
position and orientation of a sample attached to an anthropomorphic robotic manipulator …
position and orientation of a sample attached to an anthropomorphic robotic manipulator …
Using of convolutional neural network for grayscale image colorization
E Issa - 2021 - openaccess.altinbas.edu.tr
The advancement of data technology had motivated more facilitation of human life including
security and pattern recognition. Large information can be obtained from the image after …
security and pattern recognition. Large information can be obtained from the image after …