Robust super-resolution based on pixel-level selectivity

Zoran A. Ivanovski; Ljupcho Panovski; Lina J. Karam

doi:10.1117/12.642722

19 January 2006 Robust super-resolution based on pixel-level selectivity

Zoran A. Ivanovski, Ljupcho Panovski, Lina J. Karam

Proceedings Volume 6077, Visual Communications and Image Processing 2006; 607707 (2006) https://doi.org/10.1117/12.642722
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

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.

Citation Download 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 (19 January 2006); https://doi.org/10.1117/12.642722

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