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Multiscale geometric analysis

Multiscale geometric analysis or geometric multiscale analysis is an emerging area of high-dimensional signal processing and data analysis.
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Image fusion is aimed at combining source images of the same scene into a single fused image with more reliable and precise… 
2015
2015
The focus of this paper is the improvement of the quality of texture image segmentation. We proposed a new unsupervised… 
2015
2015
: Image fusion is widely used term in different applications namely satellite imaging, remote sensing, multifocus imaging medical… 
2011
2011
In reduced-reference (RR) image quality assessment (IQA), the visual quality of distorted images is evaluated with only partial… 
2010
2010
we present a blind digital watermarking algorithm using the module arithmetic and odd-even quantization based on Contourlet… 
Review
2009
Review
2009
In this paper, after a brief review of curvelets and their relation to classical wavelet transform, multiscale geometric analysis… 
2009
2009
Take advantage of the feature that the energy distribution ratio is approximately 4.5:2.2:2.2:1.1 in the four LL1 sub-images (LL2… 
Review
2006
Review
2006
The distribution of galaxies seen in the available galaxy redshift catalogues shows complex structures such as voids, filaments… 
2006
2006
We describe a multiscale representation for diffeomorphisms. Our representation allows synthesis – e.g. generate random… 
2005
2005
Abstract : Briefing charts only on classical multiscale geometric analysis: theory, applications and opportunities.