Claims Analysis
Total Claims: 28
Claim 1
Independent Claim
46 words
An imaging apparatus comprising: a plurality of measurement-diverse detectors, each detector including means for acquiring a plurality of specklegram images of an object; storage memory for storing the acquired images in digital form; a processor; and logic for accessing the stored images and estimating the object.
Claim 2
Dependent Claim
46 words
An imaging apparatus comprising: a plurality of measurement-diverse detectors, each detector including means for acquiring a plurality of specklegram images of an object; storage memory for storing the acquired images in digital form; a processor; and logic for accessing the stored images and estimating the object.
Claim 3
Dependent Claim
29 words
The apparatus of claim 1 wherein the plurality of measurement-diverse detectors includes: a first detector; and a second detector including means for perturbing the image in a predefined manner.
Claim 4
Dependent Claim
16 words
The apparatus of claim 1 wherein the images collected by each of the detectors are phase-diverse.
Claim 5
Dependent Claim
36 words
The apparatus of claim 2 wherein the first detector is positioned to collect the image at the focal plane, and the second detector is positioned for collecting a second image having a known amount of defocus.
Claim 6
Dependent Claim
27 words
The apparatus of claim 1 wherein the logic for estimating the object includes logic for jointly estimating the object and any aberrations utilizing a constrained, likelihood-based estimator.
Claim 7
Dependent Claim
29 words
The apparatus of claim 1 wherein the logic for estimating the object includes logic for jointly estimating the object and any associated aberrations utilizing a constrained, maximum likelihood estimator.
Claim 8
Dependent Claim
32 words
The apparatus of claim 1 wherein the logic for estimating the object includes logic for jointly estimating the object and any associated aberrations utilizing a constrained, likelihood-based estimator and a noise model.
Claim 9
Dependent Claim
13 words
The apparatus of claim 7 wherein the noise model utilizes a Poisson distribution.
Claim 10
Dependent Claim
13 words
The apparatus of claim 7 wherein the noise model utilizes a Gaussian distribution.
Claim 11
Independent Claim
83 words
An apparatus for imaging extended objects in the presence of unknown, time-varying aberrations, the apparatus comprising: a first detector array for acquiring a plurality of first specklegram images of an object; a second detector array for acquiring a plurality of second specklegram images of an object, the second detector array including means for perturbing the image in a pre-defined manner; storage memory for storing the acquired specklegrams in digital form; a processor; and logic for accessing the stored specklegrams and estimating the object.
Claim 12
Independent Claim
83 words
An apparatus for imaging extended objects in the presence of unknown, time-varying aberrations, the apparatus comprising: a first detector array for acquiring a plurality of first specklegram images of an object; a second detector array for acquiring a plurality of second specklegram images of an object, the second detector array including means for perturbing the image in a pre-defined manner; storage memory for storing the acquired specklegrams in digital form; a processor; and logic for accessing the stored specklegrams and estimating the object.
Claim 13
Dependent Claim
36 words
The apparatus of claim 10 wherein the first detector array is positioned to collect the specklegrams at the focal plane, and the second detector array is positioned for collecting specklegrams having a known amount of de-focus.
Claim 14
Dependent Claim
27 words
The apparatus of claim 10 wherein the logic for estimating the object includes logic for jointly estimating the object and the aberrations utilizing a constrained, likelihood-based estimator.
Claim 15
Dependent Claim
27 words
The apparatus of claim 10 wherein the logic for estimating the object includes logic for jointly estimating the object and the aberrations utilizing a constrained, maximum-likelihood estimator.
Claim 16
Dependent Claim
31 words
The apparatus of claim 10 wherein the logic for estimating the object includes logic for jointly estimating the object and the aberrations utilizing a constrained, likelihood-based estimator and a noise model.
Claim 17
Dependent Claim
13 words
The apparatus of claim 10 wherein the noise model utilizes a Poisson distribution.
Claim 18
Dependent Claim
13 words
The apparatus of claim 10 wherein the noise model utilizes a Gaussian distribution.
Claim 19
Independent Claim
44 words
A method of imaging extended objects in the presence of unknown, time-varying aberrations, the method comprising: acquiring a plurality of specklegrams images from at least two measurement-diverse detectors; storing the acquired images in digital form; and accessing the stored images and estimating the object.
Claim 20
Independent Claim
44 words
A method of imaging extended objects in the presence of unknown, time-varying aberrations, the method comprising: acquiring a plurality of specklegrams images from at least two measurement-diverse detectors; storing the acquired images in digital form; and accessing the stored images and estimating the object.
Claim 21
Dependent Claim
25 words
The method of claim 17 wherein measurement diversity is achieved by perturbing the image acquired at least one of the detectors in a predefined manner.
Claim 22
Dependent Claim
16 words
The method of claim 17 wherein the images collected by each of the detectors are phase-diverse.
Claim 23
Dependent Claim
36 words
The method of claim 17 wherein a first detector is positioned to collect the image at the focal plane, and a second detector is positioned for collecting a second image having a known amount of defocus.
Claim 24
Dependent Claim
25 words
The method of claim 17 wherein the step of estimating the object includes jointly estimating the object and any aberrations utilizing a constrained, likelihood-based estimator.
Claim 25
Dependent Claim
26 words
The method of claim 17 wherein the step of estimating the object includes jointly estimating the object and any aberrations utilizing a constrained, maximum likelihood estimator.
Claim 26
Dependent Claim
29 words
The method of claim 17 wherein the step of estimating the object includes jointly estimating the object and any aberrations utilizing a constrained, likelihood estimator and a noise model.
Claim 27
Dependent Claim
15 words
The method of claim 17 wherein a Poisson distribution is utilized as the noise model.
Claim 28
Dependent Claim
15 words
The method of claim 17 wherein a Gaussian distribution is utilized as the noise model.