Multi-Focus Image Fusion Based on Multiple Directional LOTs
Summary :
This letter proposes an image fusion method which adopts a union of multiple directional lapped orthogonal transforms (DirLOTs). DirLOTs are used to generate symmetric orthogonal discrete wavelet transforms and then to construct a union of unitary transforms as a redundant dictionary with a multiple directional property. The multiple DirLOTs can overcome a disadvantage of separable wavelets to represent images which contain slant textures and edges. We analyse the characteristic of local luminance contrast, and propose a fusion rule based on interscale relation of wavelet coefficients. Relying on the above, a novel image fusion method is proposed. Some experimental results show that the proposed method is able to significantly improve the fusion performance from those with the conventional discrete wavelet transforms.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E98-A No.11 pp.2360-2365
- Publication Date
- 2015/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E98.A.2360
- Type of Manuscript
- LETTER
- Category
- Image
Authors
Zhiyu CHEN
Niigata University
Shogo MURAMATSU
Niigata University
Keyword
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Zhiyu CHEN, Shogo MURAMATSU, "Multi-Focus Image Fusion Based on Multiple Directional LOTs" in IEICE TRANSACTIONS on Fundamentals,
vol. E98-A, no. 11, pp. 2360-2365, November 2015, doi: 10.1587/transfun.E98.A.2360.
Abstract: This letter proposes an image fusion method which adopts a union of multiple directional lapped orthogonal transforms (DirLOTs). DirLOTs are used to generate symmetric orthogonal discrete wavelet transforms and then to construct a union of unitary transforms as a redundant dictionary with a multiple directional property. The multiple DirLOTs can overcome a disadvantage of separable wavelets to represent images which contain slant textures and edges. We analyse the characteristic of local luminance contrast, and propose a fusion rule based on interscale relation of wavelet coefficients. Relying on the above, a novel image fusion method is proposed. Some experimental results show that the proposed method is able to significantly improve the fusion performance from those with the conventional discrete wavelet transforms.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E98.A.2360/_p
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@ARTICLE{e98-a_11_2360,
author={Zhiyu CHEN, Shogo MURAMATSU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Multi-Focus Image Fusion Based on Multiple Directional LOTs},
year={2015},
volume={E98-A},
number={11},
pages={2360-2365},
abstract={This letter proposes an image fusion method which adopts a union of multiple directional lapped orthogonal transforms (DirLOTs). DirLOTs are used to generate symmetric orthogonal discrete wavelet transforms and then to construct a union of unitary transforms as a redundant dictionary with a multiple directional property. The multiple DirLOTs can overcome a disadvantage of separable wavelets to represent images which contain slant textures and edges. We analyse the characteristic of local luminance contrast, and propose a fusion rule based on interscale relation of wavelet coefficients. Relying on the above, a novel image fusion method is proposed. Some experimental results show that the proposed method is able to significantly improve the fusion performance from those with the conventional discrete wavelet transforms.},
keywords={},
doi={10.1587/transfun.E98.A.2360},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - Multi-Focus Image Fusion Based on Multiple Directional LOTs
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2360
EP - 2365
AU - Zhiyu CHEN
AU - Shogo MURAMATSU
PY - 2015
DO - 10.1587/transfun.E98.A.2360
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E98-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2015
AB - This letter proposes an image fusion method which adopts a union of multiple directional lapped orthogonal transforms (DirLOTs). DirLOTs are used to generate symmetric orthogonal discrete wavelet transforms and then to construct a union of unitary transforms as a redundant dictionary with a multiple directional property. The multiple DirLOTs can overcome a disadvantage of separable wavelets to represent images which contain slant textures and edges. We analyse the characteristic of local luminance contrast, and propose a fusion rule based on interscale relation of wavelet coefficients. Relying on the above, a novel image fusion method is proposed. Some experimental results show that the proposed method is able to significantly improve the fusion performance from those with the conventional discrete wavelet transforms.
ER -
English
