PROGRESSIVE DCT BASED IMAGE CODEC USING STATISTICAL PARAMETERS

Pooneh Bagheri Zadeh, Tom Buggy, Akbar Sheikh Akbari

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, JPEG 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.

References

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Paper Citation


in Harvard Style

Bagheri Zadeh P., Buggy T. and Sheikh Akbari A. (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


in Bibtex Style

@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},
}


in EndNote Style

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