Device profiles for use in a digital image processing system

• US 6,128,415 A
• Filed: 09/06/1996
• Issued: 10/03/2000
• Est. Priority Date: 09/06/1996
• Status: Expired due to Term

• Current Assignee: Digitech Image Technologies LLC (Acacia Research Corporation)
• Original Assignee: Polaroid Corporation (PLR IP Holdings LLC)
• Inventors: Cottrell, F. Richard, Thornton, Jay E., Hultgren, III, Bror O.
• Primary Examiner(s): Johns, Andrew J.
• Assistant Examiner(s): Mariam, Daniel G.
• Application Number:
  US08/709,487
• Time in Patent Office: 1,488 Days
• Field of Search: 382/167, 382/276, 382/266, 382/239, 382/162, 358/518, 358/527, 358/520, 345/418, 345/431
• US Class Current: 382/276
• CPC Class Codes: G06T 1/00 General purpose image data processing

Abstract

Device profiles conventionally describe properties of a device or element within a digital image processing system that capture, transform or render color components of an image. An improved device profile includes both chromatic characteristic information and spatial characteristic information. The device profile is generated by use of both chromatic and spatial characteristic functions within a model based image processing system to predict both color and spatial characteristics of a processed image. The device profile generally includes: first data for describing a device dependent transformation of color information content of the image; and second data for describing a device dependent transformation of spatial information content of the image. In a special case, the device profile could contain only spatial characteristic information.

Claims

1. A device profile for describing properties of a device in a digital image reproduction system to capture, transform or render an image, said device profile comprising:

first data for describing a device dependent transformation of color information content of the image to a device independent color space; and

second data for describing a device dependent transformation of spatial information content of the image in said device independent color space.

2. The device profile of claim 1 wherein, for said device, the second data is represented by a first characteristic function describing added noise characteristics and a second characteristic function describing image signal transform characteristics.

3. The device profile of claim 2, wherein said added noise characteristics are represented by a Wiener Noise Spectrum and said image signal transform characteristics are represented by a Modulation Transfer Function.

4. The device profile of claim 1, wherein the second data is represented by characteristic functions describing a gray level dependent additive noise in said device.

5. The device profile of claim 1, wherein said gray level dependent additive noise is represented by Wiener Noise Spectra.

6. The device profile of claim 5, wherein said gray level dependent additive noise is spatially dependent.

7. The device profile of claim 1, wherein the second data is represented by characteristic functions describing spatially dependent additive noise in said device.

8. The device profile of claim 7, wherein said spatially dependent additive noise is represented by Wiener Noise Spectra.

9. The device profile of claim 1 wherein, for said device, the second data is generated through use of spatial stimuli and device response characteristic functions.

10. A method of generating a device profile that describes properties of a device in a digital image reproduction system for capturing, transforming or rendering an image, said method comprising:

generating first data for describing a device dependent transformation of color information content of the image to a device independent color space through use of measured chromatic stimuli and device response characteristic functions;

generating second data for describing a device dependent transformation of spatial information content of the image in said device independent color space through use of spatial stimuli and device response characteristic functions; and

combining said first and second data into the device profile.

11. The method of claim 10 wherein, for said device:

said second data is represented by a first characteristic function describing added noise characteristics and a second characteristic function describing image signal transform characteristics.

12. The method of claim 11 wherein, for said device, said added noise characteristics are represented by a Wiener Noise Spectrum and said image signal transform characteristics are represented by a Modulation Transfer Function.

13. The method of claim 11 wherein the second data is represented by characteristic functions describing a gray level dependent additive noise in said device.

14. The method of claim 11, wherein said gray level dependent additive noise is represented by Wiener Noise Spectra.

15. The method of claim 13, wherein said gray level dependent additive noise is spatially dependent.

16. The method of claim 11, wherein the second data is represented by characteristic functions describing spatially dependent additive noise in said device.

17. The method of claim 16, wherein said spatially dependent additive noise is represented by Wiener Noise Spectra.

18. A digital image processing system using a device profile for describing properties of a device in the system to capture, transform or render an image, said system comprising:

means for utilizing first data of the device profile for describing a device dependent transformation of color information content of the image to a device independent color space through use of chromatic response characteristic functions; and

means for utilizing second data of the device profile for describing a device dependent transformation of spatial information content of the image in said device independent color space through the use of spatial characteristic fimctions describing image spatial transform characteristics in said device independent color space.

19. The system of claim 18, wherein the second data is represented by a first characteristic function describing added noise characteristics and a second characteristic function describing image signal transform characteristics.

20. The system of claim 19, wherein said added noise characteristics are represented by a Wiener Noise Spectrum and said image signal transform characteristics are represented by a Modulation Transfer Function.

21. The system of claim 18, wherein the second data is represented by characteristic functions describing a gray level dependent additive noise in said device.

22. The system of claim 18, wherein said gray level dependent additive noise is represented by Wiener Noise Spectra.

23. The system of claim 22, wherein said gray level dependent additive noise is spatially dependent.

24. The system of claim 18, wherein the second data is represented by characteristic functions describing spatially dependent additive noise in said device.

25. The system of claim 24, wherein said spatially dependent additive noise is represented by Wiener Noise Spectra.

26. A device profile for describing properties of a device in a digital image reproduction system to capture, transform or render an image, said device profile comprising data for describing a device dependent transformation of spatial information content of the image to a device independent color space, wherein through use of spatial stimuli and device response for said device, said data is represented by spatial characteristic functions.

27. The device profile of claim 26 wherein, for said device, the data is represented by a first characteristic function describing added noise characteristics and a second characteristic function describing image signal transform characteristics.

28. The device profile of claim 27, wherein said added noise characteristics are represented by a Wiener Noise Spectrum and said image signal transform characteristics are represented by a Modulation Transfer Function.

29. The device profile of claim 26, wherein the data is represented by characteristic functions describing a gray level dependent additive noise in said device.

30. The device profile of claim 26, wherein said gray level dependent additive noise is represented by Wiener Noise Spectra.

31. The device profile of claim 30, wherein said gray level dependent additive noise is spatially dependent.

32. The device profile of claim 26, wherein the data is represented by characteristic functions describing spatially dependent additive noise in said device.

33. The device profile of claim 32, wherein said spatially dependent additive noise is represented by Wiener Noise Spectra.