A Toolbox for Teaching Image Fusion in Matlab

Kösesoy, İrfan; Cetin, Mufit; Tepecik, Abdülkadir

doi:10.1016/j.sbspro.2015.07.181

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…If the PSNR value is high that means fused image closer to the input image and less distortion in the fusion method Erreur Relative Globale Adimensionnelle de Synthese employed to quantify the image quality from the fusion of high spatial resolution images. This method is introduced by Lucien Wald [ 148 , 151 ]. This metric is defined as follow: where and show the size of the PAN and MS images, indicates the total number of pixels in the fused image.…”

Section: Main Applications In Diverse Domainsmentioning

confidence: 99%

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Image Fusion Techniques: A Survey

Kaur

Koundal

Kadyan

2021

Arch Computat Methods Eng

227

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The necessity of image fusion is growing in recently in image processing applications due to the tremendous amount of acquisition systems. Fusion of images is defined as an alignment of noteworthy Information from diverse sensors using various mathematical models to generate a single compound image. The fusion of images is used for integrating the complementary multi-temporal, multi-view and multi-sensor Information into a single image with improved image quality and by keeping the integrity of important features. It is considered as a vital pre-processing phase for several applications such as robot vision, aerial, satellite imaging, medical imaging, and a robot or vehicle guidance. In this paper, various state-of-art image fusion methods of diverse levels with their pros and cons, various spatial and transform based method with quality metrics and their applications in different domains have been discussed. Finally, this review has concluded various future directions for different applications of image fusion.

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Section: Main Applications In Diverse Domainsmentioning

confidence: 99%

“…It is designed by modeling any contrast distortion and radiometric. It is a combination of the luminance image distortion and the combination of contrast distortion, loss correlation and structure distortion between source images and the final image [1,11,[147][148][149][150]. This metric is defined as follow:…”

Section: Performance Evaluation Measurementioning

confidence: 99%

Image Fusion Techniques: A Survey

Kaur

Koundal

Kadyan

2021

Arch Computat Methods Eng

227

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“…where is covariance between the bands of reference and fused images, ( ) and ( ) are the mean and standard deviation of reference (fused) image, respectively. C1 and C2 are two consonant parameters (Wang et al, 2004;Kosesoy et al, 2015).…”

Section: Spatial Metricsmentioning

confidence: 99%

New Hybrid Pan-Sharpening Method Based on Type-1 Fuzzy-DWT Strategy

Javan

Mortazavi

Moradi

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The purpose of image fusion is to combine two images from the same view in order to produce an image with more information and higher quality. In this paper, a panchromatic image with high spatial resolution and a low-resolution multi-spectral image having rich spectral information are fused together to produce a high-resolution multi-spectral image that heritage the characteristics of both initial images. For this purpose, a hybrid pan-sharpening method, called ‘Improved Fuzzy-DWT’ have been proposed based on the modification of the parameters existed in the latest version of Fuzzy-Wavelet algorithm, and then it was compared with some other algorithms such as PCA, Gram-Schmidt, Wavelet, and two of its hybrid derivatives called PCA-Wavelet and IHS-wavelet. The comparison was conducted using DIV, SSIM, SID, CC, DS, and QNR spectral and spatial quality assessment metrics. The obtained results demonstrate that the proposed hybrid algorithm has relatively better performance in comparison with the other mentioned pan-sharpening techniques in terms of both spectral and spatial qualities, regarding it was superior in terms of SID, DIV, SSIM, DS. From the computational cost standpoint, the proposed method has the most running time compared with the other methods.

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