Paper Info
Title
High Frequency Assessment from Multiresolution Analysis
Abstract
We propose a method for the assessment and visualization of high frequency regions of a multiresolution image. We combine both orientation tensor and multiresolution analysis to give a scalar descriptor of high frequency regions. High values of this scalar space indicate regions having coincident detail vectors in multiple scales of a wavelet decomposition. This is useful for finding edges, textures, collinear structures and salient regions for computer vision methods. The image is decomposed into several scales using the Discrete Wavelet Transform (DWT). The resulting detail spaces form vectors indicating intensity variations which are combined using orientation tensors. A high frequency scalar descriptor is then obtained from the resulting tensor for each original image pixel. Our results show that this descriptor indicates areas having relevant intensity variation in multiple scales.
Year
DOI
Venue
2009
10.1007/978-3-642-01970-8_42
International Conference on Computational Science
Keywords
Field
DocType
high frequency scalar descriptor,high frequency assessment,high frequency region,original image pixel,scalar descriptor,multiresolution analysis,multiresolution image,coincident detail vector,high frequency detection,multiple scale,orienta- tion tensor.,scalar space,high value,intensity variation,high frequency,discrete wavelet transform,computer vision
Mathematical optimization,Tensor,Computer science,Scalar (physics),Multiresolution analysis,Second-generation wavelet transform,Pixel,Discrete wavelet transform,Orientation tensor,Coincident
Conference
Volume
ISSN
Citations 
5544
0302-9743
1
PageRank 
References 
Authors
0.41
6
6
Name
Order
Citations
PageRank
Tássio Knop de Castro171.78
Eder de Almeida Perez241.14
Virgínia Fernandes Mota352.17
Alexandre Chapiro482.50
Marcelo Bernardes Vieira55015.30
Wilhelm Passarella Freire610.41