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Wavelets and Image Processing, why bother? Cn780 5/4/04 Tim McKenna Outline • • • • • Multiresolution Analysis using Wavelets Compression Wavelets for a Vision The FBI Fingerprint Database Space-variant object recognition using wavelets Multiresolution Analysis Using Wavelets The claim by R.G.Daugman concerning the receptive field profile of neurons in visual cortex - “These turn out, for about 97% of the neurons, to be very closely described as 2D Gabor wavelets” Gabor Wavelets Functional Form: Mother: The Children of the Mother: where: Compression Lai et al 1999, Yale database Compression in a Nutshell: •DWT the image ->wavelet coefficients •throw out the small coefficients Foveated Vision Space-variant wavelet representation with a log-polar flavor. Orthonormal Wavelet Bases (right) (scaling functions on left) 1. Meyer 2. Battle-Lemarie 3. Battle-Lamarie 4. Haar 5. Daubechies 6. other Daubechies 1992 Wavelets for a Vision Chang,Mallat&Yap 1999 Three Mother Wavelets: from 1 dimension to 2 One-dimension foveation operator: Generalization to two dimensions: Chang,Mallat&Yap 1999 The FBI Fingerprint Database • Single print ~ 1/2megabyte, (768x768) • Target rate desired .75bits/pixel • JPEG at that compression rate was “blocky” • Used wavelet transform/scalar quantization (WSQ) WSQ http://www.c3.lanl.gov/~brislawn/FBI/OverCompress/HowItWorks/howitworks.html Discrete Wavelet Transform (DWT) Decomposition •64 subbands •Variance varies Space-variant object recognition using wavelets