loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Pooneh Bagheri Zadeh 1 ; Tom Buggy 1 and Akbar Sheikh Akbari 2

Affiliations: 1 Glasgow Caledonian University, United Kingdom ; 2 University of Bristol, United Kingdom

ISBN: 978-989-8111-21-0

Keyword(s): Discrete cosine transform, image compression, perceptual weights, statistical parameters.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Filtering ; Image Formation and Preprocessing ; Image Quality ; Implementation of Image and Video Processing Systems ; Statistical Approach

Abstract: This paper presents a novel progressive statistical and discrete cosine transform based image-coding scheme. The proposed coding scheme divides the input image into a number of non-overlapping pixel blocks. The coefficients in each block are then decorrelated into their spatial frequencies using a discrete cosine transform. Coefficients with the same spatial frequency at different blocks are put together to generate a number of matrices, where each matrix contains coefficients of a particular spatial frequency. The matrix containing DC coefficients is losslessly coded to preserve visually important information. Matrices, which consist of high frequency coefficients, are coded using a novel statistical encoder developed in this paper. Perceptual weights are used to regulate the threshold value required in the coding process of the high frequency matrices. The coded matrices generate a number of bitstreams, which are used for progressive image transmission. The proposed coding scheme, J PEG and JPEG2000 were applied to a number of test images. Results show that the proposed coding scheme outperforms JPEG and JPEG2000 subjectively and objectively at low compression ratios. Results also indicate that the decoded images using the proposed codec have superior subjective quality at high compression ratios compared to that of JPEG, while offering comparable results to that of JPEG2000. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.80.4.76

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Bagheri Zadeh P.; Buggy T.; Sheikh Akbari A. and (2008). PROGRESSIVE DCT BASED IMAGE CODEC USING STATISTICAL PARAMETERS.In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 85-92. DOI: 10.5220/0001084800850092

@conference{visapp08,
author={Pooneh {Bagheri Zadeh} and Tom Buggy and Akbar {Sheikh Akbari}},
title={PROGRESSIVE DCT BASED IMAGE CODEC USING STATISTICAL PARAMETERS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={85-92},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001084800850092},
isbn={978-989-8111-21-0},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - PROGRESSIVE DCT BASED IMAGE CODEC USING STATISTICAL PARAMETERS
SN - 978-989-8111-21-0
AU - Bagheri Zadeh, P.
AU - Buggy, T.
AU - Sheikh Akbari, A.
PY - 2008
SP - 85
EP - 92
DO - 10.5220/0001084800850092

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.