Please use this identifier to cite or link to this item:
Title: Super-resolution reconstruction of thermal infrared images
Authors: Panagiotopoulou, Antigoni
Anastassopoulos, Vassilis
Issue Date: 2011-12-08
Keywords: Super-resolution
Robust estimation
Huber norm
Bilateral TV
Thermal infrared imaging
Event: REMOTE '08
Abstract: In this paper a high-resolution (HR) thermal infrared image is reconstructed from a sequence of subpixel shifted, aliased low-resolution (LR) frames, by means of a stochastic regularized super-resolution (SR) method. The Huber (H) cost function is employed to measure the difference between the projected estimate of the HR image and each LR frame. The bilateral Total Variation (TV) regularization is incorporated as a priori knowledge about the solution. The proposed HTV super-resolution approach that employs the Huber norm in combination with the bilateral TV regularization exhibits superior performance to former SR method. Thus the effect of outliers is significantly reduced and the high-frequency edge structures of the reconstructed HR thermal infrared image are preserved. The proposed technique is also tested on frames that are corrupted by Gaussian noise and proves superior when compared to existing regularized SR method.
Appears in Collections:Τμήμα Φυσικής (Δημοσ. Π.Π. σε συνέδρια)

Files in This Item:
File Description SizeFormat 
C3.pdf607.62 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.