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Authors: Aura Conci 1 ; Marcello Santos Fonseca 1 ; Carlos S. Kubrusly 2 and Thomas Walter Raubert 3

Affiliations: 1 Institute of Computation, UFF, Brazil ; 2 Electrical Engineering Department, PUC-RJ, Brazil ; 3 Department of Informatic, UFES, Brazil

ISBN: 978-989-8111-69-2

ISSN: 2184-4321

Keyword(s): Compression-denoising, Additive White Gaussian Noise, Image Filtering, Wavelet Family, Haar’s Wavelet, Daubechies’ Wavelet, Biorthogonal Wavelet, Coiflet Wavelet, Symlet Wavelet.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Enhancement and Restoration ; Image and Video Analysis ; Image Filtering ; Image Formation and Preprocessing ; Wavelet Analysis

Abstract: Uncompressed multimedia data such as high resolution images, audio and video require a considerable storage capacity and transmission bandwidth on telecommunications systems. Despite of the development of the storage technology and the high performance of digital communication systems, the demand for huge files is higher than the available capacity. Moreover, the growth of image data in database applications needs more efficient ways to encode images. So image compression is more important than ever. One of the most used techniques is compression by wavelet, specified in the JPEG 2000 standard and recommended also for medical image DICOM database. This work seeks to investigate the wavelet image compression-denoising technique related to the wavelet family bases used (Haar, Daubechies, Biorthogonal, Coiflets and Symlets), database content and noise level. The target of the work is to define which combination present the best and the worst compression quality, through quality evaluatio n by quantitative functions: Root Mean Square Error (RMSE), Sign Noise Ratio (SNR) and Peak Sign Noise Ratio (PSNR). (More)

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Paper citation in several formats:
Conci A.; Santos Fonseca M.; Kubrusly C.; Raubert T. and (2009). CONSIDERING THE WAVELET TYPE AND CONTENTS ON THE COMPRESSION-DECOMPRESSION ASSOCIATED WITH IMPROVEMENT OF BLURRED IMAGES.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 79-84. DOI: 10.5220/0001819700790084

@conference{visapp09,
author={Aura Conci and Marcello {Santos Fonseca} and Carlos S. Kubrusly and Thomas Walter Raubert},
title={CONSIDERING THE WAVELET TYPE AND CONTENTS ON THE COMPRESSION-DECOMPRESSION ASSOCIATED WITH IMPROVEMENT OF BLURRED IMAGES},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={79-84},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001819700790084},
isbn={978-989-8111-69-2},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)
TI - CONSIDERING THE WAVELET TYPE AND CONTENTS ON THE COMPRESSION-DECOMPRESSION ASSOCIATED WITH IMPROVEMENT OF BLURRED IMAGES
SN - 978-989-8111-69-2
AU - Conci, A.
AU - Santos Fonseca, M.
AU - Kubrusly, C.
AU - Raubert, T.
PY - 2009
SP - 79
EP - 84
DO - 10.5220/0001819700790084

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