An Image Filter Based on Improved Shearlet Transformation

DOI

10.2991/icimm-15.2015.22How to use a DOI?

Keywords

Shearlet transform; Image denoise; Fiter

Abstract

Image restoration processing is to rebuild or restore original images with some prior knowledge according to given degraded images or noise-polluted images. This paper proposed an image filter algorithm based on improved Shearlet Transformation. Firstly, it adopted classical Shearlet Transform to decompose noised image into many sub-wavelets under multi-scale and multi-orientation. Secondly, it weighted each sub-wavelets obtained in first step. Then, by classical Shearlet inverse Transform, a new composite image created which composed from those weighted sub-wavelets. Experimental results shown that proposed algorithm eliminates noise effectively and yields good Peak Signal Noise Ratio (PSNR).

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qingfeng Xia
AU  - Yan Zhang
AU  - Shuting Zeng
PY  - 2015/07
DA  - 2015/07
TI  - An Image Filter Based on Improved Shearlet Transformation
BT  - Proceedings of the 5th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 109
EP  - 113
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-15.2015.22
DO  - 10.2991/icimm-15.2015.22
ID  - Xia2015/07
ER  -