ITERATIVE IMAGE INTERPOLATION FOR IRREGULARLY SAMPLED IMAGE

Jonghwa Lee, Chulhee Lee

Abstract

For irregularlyFor irregularly sampled color images, an iterative interpolation algorithm utilizing a wavelet shrinkage denoising technique is proposed. Exploiting the non-local information from neighboring blocks, the reconstruction performance converges as the iteration of the proposed algorithm is repeated. Experimental results show that the proposed algorithm outperforms the conventional algorithms in terms of subjective quality and objective measures. The proposed algorithm correctly reconstructs the edge and provides perceptually good performance with randomly chosen 25% pixels.

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Paper Citation


in Harvard Style

Lee J. and Lee C. (2012). ITERATIVE IMAGE INTERPOLATION FOR IRREGULARLY SAMPLED IMAGE . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 176-181. DOI: 10.5220/0003821701760181


in Bibtex Style

@conference{visapp12,
author={Jonghwa Lee and Chulhee Lee},
title={ITERATIVE IMAGE INTERPOLATION FOR IRREGULARLY SAMPLED IMAGE},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={176-181},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003821701760181},
isbn={978-989-8565-03-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - ITERATIVE IMAGE INTERPOLATION FOR IRREGULARLY SAMPLED IMAGE
SN - 978-989-8565-03-7
AU - Lee J.
AU - Lee C.
PY - 2012
SP - 176
EP - 181
DO - 10.5220/0003821701760181