A super-resolution technique with motion estimation considering atmospheric turbulence

2005 ◽  
Author(s):  
Hu He ◽  
Lisimachos P. Kondi
Keyword(s):  
Motion Estimation ◽  
Atmospheric Turbulence ◽  
Super Resolution

A real-time atmospheric turbulence mitigation and super-resolution solution for infrared imaging systems

2012 ◽  
Author(s):  
Douglas R. Droege ◽  
Russell C. Hardie ◽  
Brian S. Allen ◽  
Alexander J. Dapore ◽  
Jon C. Blevins
Keyword(s):  
Real Time ◽  
Atmospheric Turbulence ◽  
Infrared Imaging ◽  
Super Resolution ◽  
Imaging Systems

Block unshifting high-accuracy motion estimation: A new method adapted to super-resolution enhancement

2018 ◽  
Vol 65 ◽  
pp. 81-93
Author(s):  
Konstantinos Konstantoudakis ◽  
Lazaros Vrysis ◽  
Nikolaos Tsipas ◽  
Charalampos Dimoulas
Keyword(s):  
Motion Estimation ◽  
Resolution Enhancement ◽  
Super Resolution ◽  
High Accuracy ◽  
New Method

A MAP Approach for Joint Motion Estimation, Segmentation, and Super Resolution

2007 ◽  
Vol 16 (2) ◽  
pp. 479-490 ◽  
Author(s):  
Huanfeng Shen ◽  
Liangpei Zhang ◽  
Bo Huang ◽  
Pingxiang Li
Keyword(s):  
Motion Estimation ◽  
Super Resolution ◽  
Joint Motion ◽  
Map Approach

Segmentation-Based Video Upscaling without Motion Estimation

2015 ◽  
Vol 1 ◽  
pp. 20
Author(s):  
Tien Ho-Phuoc ◽  
Dung-Nghi Truong Cong
Keyword(s):  
Motion Estimation ◽  
Super Resolution ◽  
Detailed Consideration ◽  
Distance Computation ◽  
Good Compromise ◽  
Local Means ◽  
Noise Cancelling ◽  
Segmentation Algorithms ◽  
Non Local

This paper shows an effective method for video upscaling or super resolution (SR) without using an explicit motion estimation step. Exploiting the Non-Local Means (NLM) algorithm in order to bypass motion estimation, which is often complicated, our method proposes some modifications to ensure a good compromise between noise cancelling and detail preservation. A detailed consideration of the NLM algorithm is carried out to propose an efficient distance computation and the best eighbors for the reconstruction of each SR pixel. Moreover, efficient segmentation algorithms are also considered to build a novel upscaling framework that is adapted to spatial contrast. The satisfying results with real videos illustrated the advantages of upscaling without motion estimation compared to motion estimation-based upscaling, as well as the role of segmentation in video super resolution.

Sign in / Sign up

Export Citation Format

Share Document