Fast and Simple Super Resolution for Range Data

2010 ◽  
Author(s):  
Xueqin Xiang ◽  
Guangxia Li ◽  
Jing Tong ◽  
Zhigeng Pan
Keyword(s):  
Super Resolution ◽  
Range Data

AN APPLICATION OF MATTING LAPLACIAN MATRIX TO RANGE IMAGE SUPER-RESOLUTION

2011 ◽  
Vol 08 (04) ◽  
pp. 273-280
Author(s):  
YUXIANG YANG ◽  
ZENGFU WANG
Keyword(s):  
High Resolution ◽  
Spatial Resolution ◽  
Super Resolution ◽  
Laplacian Matrix ◽  
Range Data ◽  
Range Image ◽  
Range Images ◽  
High Quality ◽  
Camera Image ◽  
Image Super Resolution

This paper describes a successful application of Matting Laplacian Matrix to the problem of generating high-resolution range images. The Matting Laplacian Matrix in this paper exploits the fact that discontinuities in range and coloring tend to co-align, which enables us to generate high-resolution range image by integrating regular camera image into the range data. Using one registered and potentially high-resolution camera image as reference, we iteratively refine the input low-resolution range image, in terms of both spatial resolution and depth precision. We show that by using such a Matting Laplacian Matrix, we can get high-quality high-resolution range images.

scholarly journals Enhancing 3D range image measurement density via dynamic Papoulis–Gerchberg algorithm

2018 ◽  
Vol 40 (16) ◽  
pp. 4407-4420
Author(s):  
Elvan Kuzucu ◽  
Dilan Öztürk ◽  
Mustafa Gül ◽  
Bengisu Özbay ◽  
A Mansur Arisoy ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Super Resolution ◽  
Convergence Time ◽  
Detection Methods ◽  
Range Data ◽  
Range Image ◽  
Range Images ◽  
3D Scan ◽  
Image Super Resolution ◽  
3D Lidar

As one of the most popular range detection methods, lidar is commonly used in various robotic applications. Although most robotic platforms easily adopt 2D lidar for range sensing, 3D lidar is rarely used in mobile robots, owing to its high cost. Some methods reported in the literature obtain 3D range information by rotating a single 2D lidar device. However, for most of these methods, there is a trade-off between 3D scan frequency and measurement density. Existing methods discussed in the literature for increasing the measurement density in high-frequency lidar have high time complexity and require certain conditions on data distribution. In a previous work, we showed the usability of an image super-resolution method, the Papoulis–Gerchberg (P–G) algorithm, on range data represented in the form of a greyscale image. However, the low convergence rate of the original P–G algorithm impedes its use for online applications. In this study, we advanced the P–G algorithm to drastically reduce the convergence time and improve performance by utilizing previous range images. The proposed algorithm now supports application on a mobile robot with online measurement density enhancement for 3D range images collected by rotating a 2D lidar device around its pitch axis with a high 3D scan frequency. We show illustrative examples for different scenarios to present the effectiveness of the proposed method on a 3D range sensor mounted on a mobile robot.

Super-resolution enhancement of flash LADAR range data

2007 ◽  
Author(s):  
Gavin Rosenbush ◽  
Tsai Hong ◽  
Roger D. Eastman
Keyword(s):  
Resolution Enhancement ◽  
Super Resolution ◽  
Range Data

Super-Resolution Microscopy in Studying the Structure and Function of the Cell Nucleus

Acta Naturae ◽  
2017 ◽  
Vol 9 (4) ◽  
pp. 42-51
Author(s):  
S. S. Ryabichko ◽  
◽  
A. N. Ibragimov ◽  
L. A. Lebedeva ◽  
E. N. Kozlov ◽  
...  
Keyword(s):  
Cell Nucleus ◽  
Super Resolution ◽  
Structure And Function ◽  
And Function ◽  
Super Resolution Microscopy
Sign in / Sign up

Export Citation Format

Share Document