Low Complex Image Resizing Algorithm using Fixed-point Integer Transformation

James McAvoy, Ehsan Rahimi, Chris Joslin

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 Harvard Style

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


in Bibtex Style

@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},
}


in EndNote Style

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