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Proceedings Paper

Robust super-resolution based on pixel-level selectivity
Author(s): Zoran A. Ivanovski; Ljupcho Panovski; Lina J. Karam
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Paper Abstract

In this paper, a new technique for robust super-resolution (SR) from compressed video is presented. The proposed method exploits the differences between low-resolution images at the pixel level, in order to determine the usability of every pixel in the low-resolution images for SR enhancement. Only the pixels, from the lowresolution images, that are determined to be usable, are included in the L2-norm minimization procedure. Three different usability criterions are proposed, maximum distance from the median - MDM, maximum distance from initial image - MDIM, and maximum distance from the SR estimate - MDSRE. The results obtained with real video sequences demonstrate superior quality of the resulting enhanced image in the presence of outliers and same quality without outliers when compared to existing L2-norm minimization techniques. At the same time, the proposed scheme produces sharper images as compared to L1-norm minimization techniques.

Paper Details

Date Published: 19 January 2006
PDF: 8 pages
Proc. SPIE 6077, Visual Communications and Image Processing 2006, 607707 (19 January 2006); doi: 10.1117/12.642722
Show Author Affiliations
Zoran A. Ivanovski, Ss Cyril and Methodius Univ. (Macedonia)
Ljupcho Panovski, Ss Cyril and Methodius Univ. (Macedonia)
Lina J. Karam, Arizona State Univ. (United States)

Published in SPIE Proceedings Vol. 6077:
Visual Communications and Image Processing 2006
John G. Apostolopoulos; Amir Said, Editor(s)

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