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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 Probabilistic Systems, Information, and Inference Group Seminars series.

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