Complex Wavelets: What are they and what can they do?
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If you have a question about this talk, please contact Taylan Cemgil.
The Dual-Tree Complex Wavelet Transform (DT CWT ) is now a
reasonably well-known technique for image analysis. It overcomes the
problems of shift dependency and poor directional selectivity of the
conventional Discrete Wavelet Transform (DWT), and produces a multiscale
directionally selective filterbank that quite closely imitates the V1
cortical filters in the vision systems of many mammals, including
humans. In this talk I will describe the basic ideas behind the DT CWT
and discuss some applications, such as basic denoising, image
registration and fusion, and rotation-invariant feature matching for
object detection.
This talk is part of the Signal Processing and Communications Lab Seminars series.
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