Characteristics of infrared imaging systems which benefit from super-resolution reconstruction

2006 ◽  
Author(s):  
Keith Krapels ◽  
Ronald G. Driggers ◽  
Eddie Jacobs ◽  
Stephen Burks ◽  
Susan Young ◽  
...  
Keyword(s):  
Infrared Imaging ◽  
Super Resolution ◽  
Imaging Systems

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

Simultaneous digital super-resolution and nonuniformity correction for infrared imaging systems

2015 ◽  
Vol 54 (21) ◽  
pp. 6508 ◽  
Author(s):  
Pablo Meza ◽  
Guillermo Machuca ◽  
Sergio Torres ◽  
Cesar San Martin ◽  
Esteban Vera
Keyword(s):  
Infrared Imaging ◽  
Super Resolution ◽  
Imaging Systems ◽  
Nonuniformity Correction

Onychomycosis diagnosis using fluorescence and infrared imaging systems

2015 ◽  
Author(s):  
Ana Paula da Silva ◽  
Thereza Cury Fortunato ◽  
Mirian D. Stringasci ◽  
Cristina Kurachi ◽  
Vanderlei S. Bagnato ◽  
...  
Keyword(s):  
Infrared Imaging ◽  
Imaging Systems

Super-Resolution Restoration for Image Based on Entropy Constraint and Projection onto Convex Set

2012 ◽  
Vol 468-471 ◽  
pp. 1041-1048 ◽  
Author(s):  
Xiao Qin Li ◽  
Kang Ling Fang ◽  
Can Jin
Keyword(s):  
Convergence Rate ◽  
Millimeter Wave ◽  
Convex Set ◽  
Super Resolution ◽  
Reconstruction Algorithm ◽  
Spatial Domain ◽  
Imaging Systems ◽  
Resolution Limit ◽  
Classical Algorithm ◽  
Restoration Algorithm

Super-resolution reconstruction for image breaks through the resolution limit of imaging systems without hardware change. The algorithm of projection onto convex set (POCS) is a typical super-resolution reconstruction algorithm in spatial domain. The classical algorithm of POCS lacks the overall constraint for the image, and the convergence rate for iteration is incontrollable. A new super-resolution restoration algorithm for image based on entropy constraint and POCS is proposed in this paper, and experiments with optical and millimeter wave images demonstrate that the new algorithm is effective in improving the precision of super-resolution restoration.

Progress toward high-performance infrared imaging systems-on-a-chip

2000 ◽  
Author(s):  
Lester J. Kozlowski ◽  
Kadri Vural ◽  
William E. Tennant ◽  
William E. Kleinhans ◽  
Isoris S. Gergis
Keyword(s):  
High Performance ◽  
Infrared Imaging ◽  
Imaging Systems

Picosecond Time-resolved Infrared Imaging by a Nonscanning Two-color Infrared Super-resolution Microscope

2007 ◽  
Vol 36 (11) ◽  
pp. 1380-1381 ◽  
Author(s):  
Makoto Sakai ◽  
Tsutomu Ohmori ◽  
Masataka Kinjo ◽  
Nobuhiro Ohta ◽  
Masaaki Fujii
Keyword(s):  
Infrared Imaging ◽  
Super Resolution ◽  
Time Resolved
Sign in / Sign up

Export Citation Format

Share Document