Wavefront Coding
Wavefront Coding Wavefront Coding
Through-focus imaging fidelityLow defocus toleranceNoise gain / regularizationVettenburg et al Opt. Exp. 18, pp 9221 (2010) 14
Expected imaging error• errorε 2 = E( 2I r− I ) DL= E( 2H wH ab− H DLP ) Sfx, f y+ H W2P Nfx , f yP s• Obtained from images or using a noise modelP Nα 1 fW 20( max) = 5λ15
- Page 1 and 2: Computational Imaging:More pixels,
- Page 3 and 4: Why computational imaging?• Imagi
- Page 5 and 6: Hybrid imaging5
- Page 7 and 8: The additional parameter space with
- Page 9 and 10: Effect of defocus when usingsymmetr
- Page 11 and 12: Optimisation of artefact-free imagi
- Page 13: Through-focus imaging fidelity13
- Page 17 and 18: Relative performance of cubic, pure
- Page 19 and 20: Optimum phase amplitudeα optimum
- Page 21 and 22: Artefacts⎡OH o'(x, y) = I −1 W2
- Page 23 and 24: Decomposition of OTF• Defocus:•
- Page 25 and 26: The origin of image replicationsOTF
- Page 27 and 28: Parametric blind-deconvolution:Calc
- Page 29 and 30: Accuracy of optical W 20DError in W
- Page 31 and 32: Simplification of LWIR F/1 f=75mm G
- Page 33 and 34: Pure and Generalised Cubic Solution
- Page 35 and 36: IR singlet and phase maskDesignManu
- Page 37 and 38: And as a movie37
- Page 39 and 40: Single-moving-element zoom lenses:t
- Page 41 and 42: No Phase maskGeneralised CubicPure
Expected imaging error• errorε 2 = E( 2I r− I ) DL= E( 2H wH ab− H DLP ) Sfx, f y+ H W2P Nfx , f yP s• Obtained from images or using a noise modelP Nα 1 fW 20( max) = 5λ15