MAP algorithm to super-resolution of infrared images

Gang Sun; Qinghui Li; Lin Lu

doi:10.1117/12.748453

15 November 2007 MAP algorithm to super-resolution of infrared images

Gang Sun, Qinghui Li, Lin Lu

Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67870K (2007) https://doi.org/10.1117/12.748453
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Super-resolution reconstruction has been widely used in infrared images. A lot of effective super-resolution methods have been presented in recent years. In this paper, a fast and robust super-resolution algorithm based on Maximum a Posteriori (MAP) estimation is proposed to obtain a high resolution image from a set of infrared images, which are obtained by an uncooled infrared detector. A comparison and an analysis are made of the super-resolution reconstruction results by this method, with the variance of regularizations and the number of low resolution infrared images, by direct observation and the value of Power Signal-to-Noise Ratio (PSNR). Simulation results with several real sets of infrared images show the effectiveness and superiority of this method for enhancing resolution of infrared images.

Citation Download Citation

Gang Sun, Qinghui Li, and Lin Lu "MAP algorithm to super-resolution of infrared images", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67870K (15 November 2007); https://doi.org/10.1117/12.748453

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available