Two object-dependent filters (an amplitude and a phase filter) are used in the object plane on the iterative calculation of a kinoform instead of a single (phase) filter as usual. The amplitude filter is a system of weight coefficients that vary in the process of iterations and control the amplitude of an input object. The advantages of the proposed method over other ones are confirmed by computer-based experiments. It is found that the method is most efficient for binary objects.
Two iterative methods for the calculation of double-phase holograms (DPHs) are described. The calculation of DPHs by any of these methods allows one to qualitatively reconstruct the amplitude and phase of a wavefront on a format up to 50% of the spatial size of a reconstruction order (in the previous methods, this format was
To solve the pattern recognition problem, a method of synthesized phase objects is suggested. The essence of the suggested method is that synthesized phase objects are used instead of real amplitude objects. The former is object-dependent phase distributions calculated using the iterative Fourier-transform (IFT) algorithm. The method is experimentally studied with a Vander Lugt optical-digital 4F-correlator. We present the comparative analysis of recognition results using conventional and proposed methods, estimate the sensitivity of the latter to distortions of the structure of objects, and determine the applicability limits. It is demonstrated that the proposed method allows one: (а) to simplify the procedure of choice of recognition signs (criteria); (b) to obtain one-type δ-like recognition signals irrespective of the type of objects; (с) to improve signal-to-noise ratio (SNR) for correlation signals by 20 - 30 dB on average. The spatial separation of the Fourier-spectra of objects and optical noises of the correlator by means of the superposition of the phase grating on recognition objects at the recording of holographic filters and at the matched filtering has additionally improved SNR (>10 dB) for correlation signals. To introduce recognition objects in the correlator, we use a SLM LC-R 2500 device. Matched filters are recorded on a self-developing photopolymer.
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