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• W2147056688 startingPage "1069" @default.
• W2147056688 abstract "The dual-tree quaternion wavelet transform (QWT) is a new multiscale analysis tool for geometric image features. The QWT is a near shift-invariant tight frame representation whose coefficients sport a magnitude and three phases: two phases encode local image shifts while the third contains image texture information. The QWT is based on an alternative theory for the 2-D Hilbert transform and can be computed using a dual-tree filter bank with linear computational complexity. To demonstrate the properties of the QWT's coherent magnitude/phase representation, we develop an efficient and accurate procedure for estimating the local geometrical structure of an image. We also develop a new multiscale algorithm for estimating the disparity between a pair of images that is promising for image registration and flow estimation applications. The algorithm features multiscale phase unwrapping, linear complexity, and sub-pixel estimation accuracy." @default.
• W2147056688 created "2016-06-24" @default.
• W2147056688 creator A5044975389 @default.
• W2147056688 creator A5047766943 @default.
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• W2147056688 date "2008-07-01" @default.
• W2147056688 modified "2023-10-10" @default.
• W2147056688 title "Coherent Multiscale Image Processing Using Dual-Tree Quaternion Wavelets" @default.
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• W2147056688 doi "https://doi.org/10.1109/tip.2008.924282" @default.
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