QuickBird Panchromatic and Multi-Spectral Image Fusion Using Wavelet Packet Transform

Zhang, Wenjuan; Kang, Jiayin

doi:10.1007/978-3-540-37256-1_128

Cited by 7 publications

(2 citation statements)

References 6 publications

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“…Several pan-sharpening approaches have been reported, which include intensity-hue-saturation (IHS) 0196-2892/$26.00 © 2010 IEEE transformation [7], component substitution framework [8], specific image formation model [9], etc. Recently, wavelet packet transform based fusion [10] and contourlet transform based fusion [11] techniques have also been suggested for pan-sharpening, which depend on multiresolution decomposition of spectral bands. The pan-sharpening algorithms involve the extraction of high-resolution spatial data from pan images and merging them with MS images for sharpening.…”

Section: Related Workmentioning

confidence: 99%

Visualization of Hyperspectral Images Using Bilateral Filtering

Kotwal

Chaudhuri

2010

IEEE Trans. Geosci. Remote Sensing

103

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Abstract-This paper presents a new approach for hyperspectral image visualization. A bilateral filtering-based approach is presented for hyperspectral image fusion to generate an appropriate resultant image. The proposed approach retains even the minor details that exist in individual image bands, by exploiting the edge-preserving characteristics of a bilateral filter. It does not introduce visible artifacts in the fused image. A hierarchical fusion scheme has also been proposed for implementation purposes to accommodate a large number of hyperspectral image bands. The proposed scheme provides computational and storage efficiency without affecting the quality and performance of the fusion. It also facilitates the midband visualization of a subset of the hyperspectral image cube. Quantitative performance results are presented to indicate the effectiveness of the proposed method.

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Section: Related Workmentioning

confidence: 99%

Visualization of Hyperspectral Images Using Bilateral Filtering

Kotwal

Chaudhuri

2010

IEEE Trans. Geosci. Remote Sensing

103

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“…In [9] authors have proposed the technique of combining multispectral and satellite aperture radar (SAR) images by intensity modulation. In [10] authors have carried out fusion based on component framework, whereas in [11] a specific image model has been formed for pan-sharpening approach. Fusion algorithm based on pyramid transforms such as Laplacian and Gaussian are constructed by filtering the images successively and then down sampling.…”

Section: Introductionmentioning

confidence: 99%

Image Fusion Scheme based on Wavelet Transformation

Ahmed¹,

Sultana²,

Sattar³

2018

IJCA

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The paper focuses on image fusion between multi-spectral images and panchromatic images using a gradient based wavelet analysis method with image processing traits. For highlighting the core features of source images, preprocessing is accomplished. A new gradient technique is developed based on wavelet transformation. As of gradient process, for a multi-spectral image, every pixel having 4 neighbors of each of them. The summation that we do matches those of the multi-spectral images that we have selected. Two major considerations for gradient are considered. One is for the pixel values in the multi-spectral images region and other is the gradient pixel values that are at the boundary. Once we have calculated these values, we transfer these values from the multi-spectral images onto the panchromatic image and then rest of the values outside the mask are kept as same. Since we are working on the RGB images, we copied the RGB channels directly. By calculating bigger gradient of the two images either in multi-spectral images or panchromatic images and then construct the final image using inverse wavelet transformation. The proposed method is experimented on satellite, medical and natural images. In all the cases, this method shown superiority with existing methods. General TermsGradient pyramid, spatial frequency, Haar fusion, panchromatic image.

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Survey on pixel level image fusion techniques

Anita

Moses

2013

2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)

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QuickBird Panchromatic and Multi-Spectral Image Fusion Using Wavelet Packet Transform

Cited by 7 publications

References 6 publications

Visualization of Hyperspectral Images Using Bilateral Filtering

Visualization of Hyperspectral Images Using Bilateral Filtering

Image Fusion Scheme based on Wavelet Transformation

Survey on pixel level image fusion techniques

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