Image Representation by Complex Cell Responses
Copyright policy )Image Representation by Complex Cell Responses
We present an analysis of the representation of images as the magnitudes of their transform with complex-valued Gabor wavelets. Such a representation is a model for complex cells in the early stage of visual processing and of high technical usefulness for image understanding, because it makes the representation insensitive to small local shifts. We show that if the images are band limited and of zero mean, then reconstruction from the magnitudes is unique up to the sign for almost all images.
- University of California System United States
- Ruhr University Bochum Germany
- University of Southern California United States
Neurons, complex-valued Gabor wavelets, Fourier Analysis, Nonlinear Dynamics, Models, Neurological, Image Processing, Computer-Assisted, Computing methodologies for image processing, Algorithms
Neurons, complex-valued Gabor wavelets, Fourier Analysis, Nonlinear Dynamics, Models, Neurological, Image Processing, Computer-Assisted, Computing methodologies for image processing, Algorithms
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