Pyramid Image Fusion Based on Contourlet and Enhanced Structural Decomposition
(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
İsim Orijinal	Pyramid Image Fusion Based on Contourlet and Enhanced Structural Decomposition
Yazar	Mojtaba Soleimani, Ali Aghagolzadeh, Mehdi Ezoji
Basım Tarihi:	1378
Basım Yeri	Semnan University - Semnan University
Konu	contourlet transform, image fusion, image structural decomposition, proposed weighting factor, pyramidal structure
Tür	Süreli Yayın
Dil	Arapça
Dijital	Evet
Yazma	Hayır
Kütüphane:	Girona Üniversitesi
Demirbaş Numarası	ISSN: 2008-4854, EISSN: 2783-2538, DOI: 10.22075/jme.2023.28288.2330
Kayıt Numarası	cdi_doaj_primary_oai_doaj_org_article_926dad837cff4af69e43118d2db6a217
Lokasyon	Available Online
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.

Kaynağa git Girona Üniversitesi Universitat de Girona

Diğer Nüshalar

Girona Üniversitesi

Kaynağa git

Pyramid Image Fusion Based on Contourlet and Enhanced Structural Decomposition

(Pyramid Image Fusion Based on Contourlet and Enhanced Structural Decomposition)

Yazar Mojtaba Soleimani, Ali Aghagolzadeh, Mehdi Ezoji

Basım Tarihi 1378

Basım Yeri Semnan University - Semnan University

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

Tür Süreli Yayın

Dil Arapça

Dijital Evet

Yazma Hayır

Kütüphane Girona Üniversitesi

Demirbaş Numarası ISSN: 2008-4854, EISSN: 2783-2538, DOI: 10.22075/jme.2023.28288.2330

Kayıt Numarası cdi_doaj_primary_oai_doaj_org_article_926dad837cff4af69e43118d2db6a217

Lokasyon Available Online

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.

Pyramid Image Fusion Based on Contourlet and Enhanced Structural Decomposition
(Pyramid Image Fusion Based on Contourlet and Enhanced Structural Decomposition)

Diğer Nüshalar