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Authors: Luca Bianchi 1 ; Riccardo Gatti 1 ; Luca Lombardi 1 and Luigi Cinque 2

Affiliations: 1 University of Pavia, Italy ; 2 University of Roma, Italy

Keyword(s): GPU, Image compression, Parallel algorithms.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Enhancement and Restoration ; Image Filtering ; Image Formation and Preprocessing ; Implementation of Image and Video Processing Systems

Abstract: Today High Definition (HD) for video contents is one of the biggest challenges in computer vision. The 1080i standard defines the minimum image resolution required to be classified as HD mode. At the same time bandwidth constraints and latency don’t allow the transmission of uncompressed, high resolution images. Often lossy compression algorithms are involved in the process of providing HD video streams, because of their high compression rate capabilities. The main issue concerned to these methods, while processing frames, is that high frequencies components in the image are neither conserved nor reconstructed. Our approach uses a simple downsampling algorithm for compression, but a new, very accurate method for decompression which is capable of high frequencies restoration. Our solution Is also highly parallelizable and can be efficiently implemented on a commodity parallel computing architecture, such as GPU, obtaining extremely fast performances.

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Paper citation in several formats:
Bianchi, L.; Gatti, R.; Lombardi, L. and Cinque, L. (2009). PARALLEL LOSSY COMPRESSION FOR HD IMAGES - A New Fast Image Magnification Algorithm for Lossy HD Video Decompression Over Commodity GPU. In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP; ISBN 978-989-8111-69-2; ISSN 2184-4321, SciTePress, pages 16-21. DOI: 10.5220/0001767900160021

@conference{visapp09,
author={Luca Bianchi. and Riccardo Gatti. and Luca Lombardi. and Luigi Cinque.},
title={PARALLEL LOSSY COMPRESSION FOR HD IMAGES - A New Fast Image Magnification Algorithm for Lossy HD Video Decompression Over Commodity GPU},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP},
year={2009},
pages={16-21},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001767900160021},
isbn={978-989-8111-69-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP
TI - PARALLEL LOSSY COMPRESSION FOR HD IMAGES - A New Fast Image Magnification Algorithm for Lossy HD Video Decompression Over Commodity GPU
SN - 978-989-8111-69-2
IS - 2184-4321
AU - Bianchi, L.
AU - Gatti, R.
AU - Lombardi, L.
AU - Cinque, L.
PY - 2009
SP - 16
EP - 21
DO - 10.5220/0001767900160021
PB - SciTePress