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

Pablo Meza, Guillermo MacHuca, Sergio Torres, Cesar San Martin, ESTEBAN MAURICIO VERA ROJAS

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

In this article, we present a novel algorithm to achieve simultaneous digital super-resolution and nonuniformity correction from a sequence of infrared images. We propose to use spatial regularization terms that exploit nonlocal means and the absence of spatial correlation between the scene and the nonuniformity noise sources. We derive an iterative optimization algorithm based on a gradient descent minimization strategy. Results from infrared image sequences corrupted with simulated and real fixed-pattern noise show a competitive performance compared with state-of-the-art methods. A qualitative analysis on the experimental results obtained with images from a variety of infrared cameras indicates that the proposed method provides super-resolution images with significantly less fixed-pattern noise.

Original languageEnglish
Pages (from-to)6508-6515
Number of pages8
JournalApplied Optics
Volume54
Issue number21
DOIs
StatePublished - 20 Jul 2015

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