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20 September 2007 Illumination invariant adaptive joint transform correlator
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Illumination functions can be modeled as multiplicative noise. Therefore, an input scene for pattern recognition is commonly corrupted by a mixture of additive and multiplicative noises. Existing correlation filters assume that multiplicative noise is either a constant factor or wide scense stationary noise. We propose a point-wise preprocessing of an input scene and consequent optimum correlation filter design. This procedure takes into account knowledge of illumination funtion. Adaptive joint transform correlator architecture is used. Computer simulation results are provided and discussed.
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Victor Diaz and Vitaly Kober "Illumination invariant adaptive joint transform correlator", Proc. SPIE 6695, Optics and Photonics for Information Processing, 66951B (20 September 2007);

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