z-logo
Premium
High‐resolution images from compressed low‐resolution video: Motion estimation and observable pixels
Author(s) -
Alvarez L. D.,
Mateos J.,
Molina R.,
Katsaggelos A. K.
Publication year - 2004
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.20008
Subject(s) - computer vision , pixel , artificial intelligence , computer science , sub pixel resolution , motion estimation , resolution (logic) , image resolution , data compression , block matching algorithm , motion (physics) , sequence (biology) , image quality , image (mathematics) , image processing , video processing , video tracking , digital image processing , biology , genetics
In this article, we address the problem of obtaining a high‐resolution (HR) image from a compressed low‐resolution (LR) video sequence. Motion information plays a critical role in solving this problem, and we determine which pixels in the sequence provide useful information for calculating the high‐resolution image. The bit stream of hybrid motion compensated video compression methods includes low‐resolution motion‐compensated images; we therefore also study which pixels in these images should be used to increase the quality of the reconstructed image. Once the useful (observable) pixels in the low‐resolution and motion‐compensated sequences have been detected, we modify the acquisition model to only account for these observations. The proposed approach is tested on real compressed video sequences and the improved performance is reported. © 2004 Wiley Periodicals, Inc. Int J Imaging Syst Technol 14, 58–66, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.20008

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here