Pyramid Image Fusion Based on Contourlet and Enhanced Structural Decomposition

Name: Pyramid Image Fusion Based on Contourlet and Enhanced Structural Decomposition
Author: Mojtaba Soleimani, Ali Aghagolzadeh, Mehdi Ezoji

İsim	Pyramid Image Fusion Based on Contourlet and Enhanced Structural Decomposition
Yazar	Mojtaba Soleimani, Ali Aghagolzadeh, Mehdi Ezoji
Basım Tarihi:	1378
Basım Yeri	- Semnan University, 1378.
Konu	image fusion, image structural decomposition, contourlet transform, pyramidal structure, proposed weighting factor, Engineering design, TA174
Tür	Süreli Yayın
Dil	Farsça
Dijital	Evet
Yazma	Hayır
Fiziksel Boyutlar	electronic resource
Kütüphane:	Bursa Uludağ Üniversitesi Kütüphanesi
Demirbaş Numarası	edsdoj.926dad837cff4af69e43118d2db6a217
Kayıt Numarası	uujtshb2gf
Lokasyon	LCC:Engineering design
Tarih	1378
Örnek Metin	Recently, a method for multi-exposure images fusion based on structural decomposition of images into three parts including signal strength, signal structure and signal mean has been introduced. In this paper, we seek to use this decomposition, for images fusion in other fields, including multimodal medical, multi-focus, and infrared and visible images. To increase the fusion quality, besides the introduction of the proposed weighting factor in the structural decomposition, contourlet transformation and the pyramidal structure have also been used. First, each of the K input images are represented into low frequency and high frequency subbands, by using contourlet transform. Then, all the corresponding subbands (resulting from the same scales and directions) are fused with each other, separately and in an iterative process. In this iterative process, first, a separate pyramid structure (including approximation and detail layers) is created for each of the corresponding K subbands. These layers are obtained by the down-sampling of subbands and structural separation based on the proposed new weighting factor. Then, the fusion is performed in the reverse direction of the pyramidal structure and the fused image of the K corresponding subband is obtained. By repeating this process, the fused image will be obtained for all the corresponding subbands. At the end, the final fused image is obtained by the inverse contourlet transformation on the fused images of the subbands. Several visual and quantitative comparisons, with 7 common methods in this field, have been made. In the visual aspect, the proposed method shows the highest quality.
DOI	10.22075/jme.2023.28288.2330
ISSN	2008-4854, 2783-2538
İlişki	https://modelling.semnan.ac.ir/article_7796_f39a576730b233a7edad3631a25fb00c.pdf; https://doaj.org/toc/2008-4854; https://doaj.org/toc/2783-2538

Kaynağa git Bursa Uludağ Üniversitesi Kütüphanesi

Diğer Nüshalar

Bursa Uludağ Üniversitesi Kütüphanesi

Kaynağa git

Pyramid Image Fusion Based on Contourlet and Enhanced Structural Decomposition

Yazar Mojtaba Soleimani, Ali Aghagolzadeh, Mehdi Ezoji

Basım Tarihi 1378

Basım Yeri - Semnan University, 1378.

Konu image fusion, image structural decomposition, contourlet transform, pyramidal structure, proposed weighting factor, Engineering design, TA174

Tür Süreli Yayın

Dil Farsça

Dijital Evet

Yazma Hayır

Fiziksel Boyutlar electronic resource

Kütüphane Bursa Uludağ Üniversitesi Kütüphanesi

Demirbaş Numarası edsdoj.926dad837cff4af69e43118d2db6a217

Kayıt Numarası uujtshb2gf

Lokasyon LCC:Engineering design

Tarih 1378

Örnek Metin Recently, a method for multi-exposure images fusion based on structural decomposition of images into three parts including signal strength, signal structure and signal mean has been introduced. In this paper, we seek to use this decomposition, for images fusion in other fields, including multimodal medical, multi-focus, and infrared and visible images. To increase the fusion quality, besides the introduction of the proposed weighting factor in the structural decomposition, contourlet transformation and the pyramidal structure have also been used. First, each of the K input images are represented into low frequency and high frequency subbands, by using contourlet transform. Then, all the corresponding subbands (resulting from the same scales and directions) are fused with each other, separately and in an iterative process. In this iterative process, first, a separate pyramid structure (including approximation and detail layers) is created for each of the corresponding K subbands. These layers are obtained by the down-sampling of subbands and structural separation based on the proposed new weighting factor. Then, the fusion is performed in the reverse direction of the pyramidal structure and the fused image of the K corresponding subband is obtained. By repeating this process, the fused image will be obtained for all the corresponding subbands. At the end, the final fused image is obtained by the inverse contourlet transformation on the fused images of the subbands. Several visual and quantitative comparisons, with 7 common methods in this field, have been made. In the visual aspect, the proposed method shows the highest quality.

DOI 10.22075/jme.2023.28288.2330

ISSN 2008-4854, 2783-2538

İlişki https://modelling.semnan.ac.ir/article_7796_f39a576730b233a7edad3631a25fb00c.pdf; https://doaj.org/toc/2008-4854; https://doaj.org/toc/2783-2538

Pyramid Image Fusion Based on Contourlet and Enhanced Structural Decomposition

Diğer Nüshalar