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Proceedings Article

Robust super-resolution based on pixel-level selectivity

[+] Author Affiliations
Zoran A. Ivanovski, Ljupcho Panovski

Ss Cyril and Methodius Univ. (Macedonia)

Lina J. Karam

Arizona State Univ.

Proc. SPIE 6077, Visual Communications and Image Processing 2006, 607707 (January 18, 2006); doi:10.1117/12.642722
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From Conference Volume 6077

  • Visual Communications and Image Processing 2006
  • John G. Apostolopoulos; Amir Said
  • San Jose, CA | January 15, 2006

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.

© (2006) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Zoran A. Ivanovski ; Ljupcho Panovski and Lina J. Karam
"Robust super-resolution based on pixel-level selectivity", Proc. SPIE 6077, Visual Communications and Image Processing 2006, 607707 (January 18, 2006); doi:10.1117/12.642722; http://dx.doi.org/10.1117/12.642722


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