@inproceedings{5aa13891844749e68b05c6bdf44c5310,
title = "Robust super-resolution based on pixel-level selectivity",
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 L 2-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 L 2-norm minimization techniques. At the same time, the proposed scheme produces sharper images as compared to L 1-norm minimization techniques.",
keywords = "Compressed video, Compression artifacts, Motion estimation, Super-resolution, Video enhancement",
author = "Ivanovski, {Zoran A.} and Ljupcho Panovski and Lina Karam",
year = "2006",
doi = "10.1117/12.642722",
language = "English (US)",
isbn = "0819461172",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",
note = "Visual Communications and Image Processing 2006 ; Conference date: 17-01-2006 Through 19-01-2006",
}