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Authors: James McAvoy ; Ehsan Rahimi and Chris Joslin

Affiliation: Carleton University, Canada

ISBN: 978-989-758-290-5

Keyword(s): Resizing Algorithm, Image Halving and Doubling, DCT Transformation, Fixed-point integer transformation, Subband Approximation, Low-complexity.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Document Imaging in Business ; Image and Video Analysis ; Image and Video Coding and Compression ; Image Enhancement and Restoration ; Image Formation and Preprocessing

Abstract: This paper proposes an efficient image resizing algorithm, including both halving and doubling, in the DCT domain. The proposed image resizing algorithm works on a 4 by 4 DCT block framework with a lower complexity compared to the similar previous methods. Compared to the images that were halved or doubled through the bilinear interpolation, the proposed algorithm produces images with similar or higher PSNR or SSIM values at the significantly lower computational cost. The test results also confirm that our approach improves the current frequency domain resizing algorithms through the fixed-point integer transformation which reduces the computational cost by more than 60\% with negligible dB loss.

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Paper citation in several formats:
McAvoy, J.; Rahimi, E. and Joslin, C. (2018). Low Complex Image Resizing Algorithm using Fixed-point Integer Transformation.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-290-5, pages 143-149. DOI: 10.5220/0006616901430149

@conference{visapp18,
author={James McAvoy. and Ehsan Rahimi. and Chris Joslin.},
title={Low Complex Image Resizing Algorithm using Fixed-point Integer Transformation},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2018},
pages={143-149},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006616901430149},
isbn={978-989-758-290-5},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - Low Complex Image Resizing Algorithm using Fixed-point Integer Transformation
SN - 978-989-758-290-5
AU - McAvoy, J.
AU - Rahimi, E.
AU - Joslin, C.
PY - 2018
SP - 143
EP - 149
DO - 10.5220/0006616901430149

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