PARALLEL LOSSY COMPRESSION FOR HD IMAGES - A New Fast Image Magnification Algorithm for Lossy HD Video Decompression Over Commodity GPU

Luca Bianchi, Riccardo Gatti, Luca Lombardi, Luigi Cinque

2009

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.

Paper Citation

in Harvard Style

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 - Volume 2: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 16-21. DOI: 10.5220/0001767900160021

in Bibtex Style

@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 - Volume 2: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={16-21},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001767900160021},
isbn={978-989-8111-69-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)
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
AU - Bianchi L.
AU - Gatti R.
AU - Lombardi L.
AU - Cinque L.
PY - 2009
SP - 16
EP - 21
DO - 10.5220/0001767900160021