Methods for adapative spectral, spatial and temporal sensing for imaging applications

• US 6,466,961 B1
• Filed: 08/16/2001
• Issued: 10/15/2002
• Est. Priority Date: 08/16/2000
• Status: Expired due to Fees

• Current Assignee: Board of Trustees of the Leland Stanford Junior University (Stanford Management Co.)
• Original Assignee: Board of Trustees of the Leland Stanford Junior University (Stanford Management Co.)
• Inventors: Miller, David A. B.
• Primary Examiner(s): Mai, Tan V.
• Application Number:
  US09/932,438
• Publication Number:
  US 20020150299A1
• Time in Patent Office: 425 Days
• Field of Search: 708/816, 708/819, 708/191, 708/813, 708/821, 250/216, 250/226
• US Class Current: 708/816
• CPC Class Codes: G01J 3/26 using multiple reflection, e.g. Fabry-Perot interferometer, variable interference filters
• CPC Class Codes: G01J 3/28 Investigating the spectrum using colour filters G01J3/51
• CPC Class Codes: G01J 3/2823 Imaging spectrometer
• CPC Class Codes: G01J 3/453 by correlation of the amplitudes
• CPC Class Codes: G01J 3/457 Correlation spectrometry, e.g. of the intensity G01J3/453 takes precedence

Abstract

A method for adaptive spectral sensing developed for a two-dimensional image made up of picture elements. The method calls for illuminating at least one of the picture elements with an input light and deriving a time-varying spectral signal from the input light for that picture element. The time-varying spectral signal is processed with a time-varying reference signal by using a mathematical function such as convolution, multiplication, averaging, integrating, forming an inner product, matched filtering, addition, subtraction or division to obtain a processed output value for the picture element and this output value is then used in determining a spectral characteristic of the input light. The time-varying spectral signal is conveniently derived by optical filtering of the input light yielding an optical time-varying spectral signal. This method can be used by itself or in combination with at least one other adaptive technique such as adaptive spatial sensing and/or adaptive temporal sensing.

Claims

1. A method of adaptive spectral sensing for a two-dimensional image comprising picture elements, said method comprising:

a) illuminating at least one of said picture elements with an input light;

b) deriving a time-varying spectral signal from said input light for said picture element;

c) processing said time-varying spectral signal with a time-varying reference signal to obtain a processed output value for said picture element;

d) employing said processed output value for determining a spectral characteristic of said input light.

2. The method of claim 1, wherein said step of deriving said time-varying spectral signal comprises optical filtering of said input light.

3. The method of claim 2, wherein said optical filtering comprises positioning an optical filter in front of said picture element.

4. The method of claim 3, wherein said optical filter is a scanning optical filter and said optical filtering comprising scanning.

5. The method of claim 3, wherein said optical filter is a Fourier transform scanning optical filter and said optical filtering comprises performing a Fourier transform.

6. The method of claim 2, wherein said time-varying spectral signal is an optical time-varying spectral signal.

7. The method of claim 2, wherein said optical filtering further comprises optically splitting said input light.

8. The method of claim 1, wherein said step of deriving said time-varying spectral signal comprises electrical control of a spectral detector element.

9. The method of claim 8, wherein said spectral detector element is selected from the group of photodetectors consisting of quantum well infrared photodetector, silicon photodetector, analog electronic multiplier.

10. The method of claim 8, wherein said time-varying spectral signal comprises an electrical time-varying spectral signal derived from said spectral detector.

11. The method of claim 10, wherein said time-varying electrical spectral signal is selected from the group consisting of voltage, current, inductance, power, electric field, magnetic field, resistance, capacitance and inductance.

12. The method of claim 10, wherein said time-varying reference signal is an electrical time-varying reference signal.

13. The method of claim 1, wherein said step of processing comprises at least one operation selected from the group of mathematical operations consisting of convolution, multiplication, averaging, integrating, forming an inner product, matched filtering, addition, subtraction and division.

14. The method of claim 1, wherein said picture element is a pixel.

15. The method of claim 1, wherein said at least one picture element comprises a number of picture elements and said step of deriving comprises deriving time-varying spectral signals for each of said number of picture elements, whereby said time-varying spectral signals are different from each other.

16. The method of claim 1, further comprising employing at least one adaptive sensing technique selected from the group consisting of adaptive spatial sensing and adaptive temporal sensing.

17. A method of adaptive spatial sensing for a two-dimensional image comprising picture elements, said method comprising:

a) illuminating at least two of said picture elements with an input light;

b) scanning a projection of said at least two picture element across a spectral detector element to obtain scan response signals from said at least two picture elements;

c) processing said scan response signals with a reference signal to obtain a processed output value for said at least two picture elements;

d) employing said processed output value for determining a spatial characteristic of said input light.

18. The method of claim 17, wherein said processed output value is a second spatial derivative of said two-dimensional image in a scanning direction.

19. The method of claim 17, wherein said reference signal is a kernel and said processing comprises convolution with said kernel.

20. The method of claim 19, wherein said kernel is selected to perform a sharpening of said two-dimensional image.

21. The method of claim 17, further comprising employing at least one adaptive sensing technique selected from the group consisting of adaptive spectral sensing and adaptive temporal sensing.

22. A method of adaptive temporal sensing for a two-dimensional image comprising picture elements, said method comprising:

a) illuminating at least one of said picture elements with an input light;

b) deriving a time-varying spectral signal from said input light for said picture element at two different points in time and averaging;

c) processing said time-varying spectral signal with a time-varying reference signal to obtain a processed output value for said picture elements;

d) employing said output value for determining a temporal characteristic of said input light.

23. The method of claim 22, further comprising employing at least one adaptive sensing technique selected from the group consisting of adaptive spectral sensing and adaptive spatial sensing.