Abstract:In correlation filtering a spatial light modulator is traditionally modeled as affecting only the phase or only the amplitude of light. Usually, however, a single operating parameter affects both phase and amplitude. An integral constraint is developed that is a necessary condition for optimizing a correlation filter having single parameter coupling between phase and amplitude. The phase-only filter is shown to be a special case.
“…Blending by either approach leads to significant improvements in performance over that originally reported in Ref. 24 for PRE and MDE used individually. Especially significant is the 2ϫ-3ϫ increase in diffraction efficiency over that with PRE alone as a result of blending.…”
Section: A Summary Of Resultsmentioning
confidence: 61%
“…The earliest applications of design optimization using a few parameters appear in the work of Farn and Goodman 23 and in Juday 17,24 on the design of singleobject correlation filters for limited-modulation-range SLM's. 17,23,24 Reference 17 presents this problem in its most general form. A fully complex filter is specified that optimizes a given performance metric.…”
Section: B Review Of Reduced-parameter Suboptimal Design Methodsmentioning
Two pixel-oriented methods for designing Fourier transform holograms--pseudorandom encoding and minimum-distance encoding-usually produce higher-fidelity reconstructions when combined than those produced by each method individually. In previous studies minimum-distance encoding was defined as the mapping from the desired complex value to the closest value produced by the modulator. This method is compared with a new minimum-distance criterion in which the desired complex value is mapped to the closest value that can be realized by pseudorandom encoding. Simulations and experimental measurements using quantized phase and amplitude modulators show that the modified approach to blended encoding produces more faithful reconstructions than those of the previous method.
“…Blending by either approach leads to significant improvements in performance over that originally reported in Ref. 24 for PRE and MDE used individually. Especially significant is the 2ϫ-3ϫ increase in diffraction efficiency over that with PRE alone as a result of blending.…”
Section: A Summary Of Resultsmentioning
confidence: 61%
“…The earliest applications of design optimization using a few parameters appear in the work of Farn and Goodman 23 and in Juday 17,24 on the design of singleobject correlation filters for limited-modulation-range SLM's. 17,23,24 Reference 17 presents this problem in its most general form. A fully complex filter is specified that optimizes a given performance metric.…”
Section: B Review Of Reduced-parameter Suboptimal Design Methodsmentioning
Two pixel-oriented methods for designing Fourier transform holograms--pseudorandom encoding and minimum-distance encoding-usually produce higher-fidelity reconstructions when combined than those produced by each method individually. In previous studies minimum-distance encoding was defined as the mapping from the desired complex value to the closest value produced by the modulator. This method is compared with a new minimum-distance criterion in which the desired complex value is mapped to the closest value that can be realized by pseudorandom encoding. Simulations and experimental measurements using quantized phase and amplitude modulators show that the modified approach to blended encoding produces more faithful reconstructions than those of the previous method.
“…These general equations are rewritten here to specifically represent diffraction from the filter plane to the correlation plane. Equation (5) The general expression for the expected correlation plane intensity is (I(x)) = (A (x)A (x)) (10) This expression separates into 2 plus additional terms that result from the term A1(x) not being statistically independent from itself (i.e., terms in the double summation for which i =j). The general expression for the standard deviation of the correlation plane intensity distribution under the assumption that the A,(x) are statistically independent is Zj, a…”
Section: Phase Errors On the Correlation Peakmentioning
“…IH(su,sv)I2 (7) where 40(u,v) is the phase function of the Fourier transform of ç(x,y). The resolution for the coefficients oc., of the CWMF is similar to that for the composite filter.…”
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