Thermal response correction system

• US 20050007438A1
• Filed: 08/04/2004
• Published: 01/13/2005
• Est. Priority Date: 08/22/2001
• Status: Active Grant

• Current Assignee: TPP Tech LLC
• Original Assignee: Polaroid Corporation (PLR IP Holdings LLC)
• Inventors: Vetterling, William T., Busch, Brian D., Saquib, Suhail S.
• Granted Patent: US 7,298,387 B2
• Time in Patent Office: Days
• US Class Current: 347/175
• CPC Class Codes: B41J 2/3555 Historical control
• CPC Class Codes: B41J 2/36 Print density control
• CPC Class Codes: B41J 2/365 by compensation for variation in temperature

Abstract

Techniques are disclosed for performing thermal history control in a thermal printer in which a single thermal print head prints sequentially on multiple color-forming layers in a single pass. Each pixel-printing interval may be divided into subintervals, which may be of unequal duration. Each sub-interval may be used to print a different color. The manner in which the input energy to be provided to each print head element is selected may be varied for each of the subintervals. For example, although a single thermal model may be used to predict the temperature of the print head elements in each of the subintervals, different parameters may be used in the different subintervals. Similarly, different energy computation functions may be used to compute the energy to be provided to the print head in each of the subintervals based on the predicted print head temperature.

Claims

1. A method comprising steps of:

(A) identifying a density of a pixel in a digital image, the density including;

(1) a first color component associated with a first printing subinterval of a printing line time and having a first value, and (2) a second color component associated with a second printing subinterval of the printing line time and having a second value;

(B) identifying a first print head element temperature;

(C) identifying a first energy computation function associated with the first color component;

(D) identifying a first input energy using the first energy computation function based on the first value and the first print head element temperature;

(E) identifying a second print head element temperature;

(F) identifying a second energy computation function associated with the second color component; and

(G) identifying a second input energy using the second energy computation function based on the second value and the second print head element temperature.

2. The method of claim 1, wherein the pixel comprises one of a plurality of pixels in the digital image, and wherein the method further comprises a step of performing steps (A)-(G) for each of the plurality of pixels.

3. The method of claim 1, further comprising steps of:

(H) providing the first input energy to a print head element; and

(I) providing the second input energy to the print head element.

4. The method of claim 1, wherein the step (B) comprises a step of predicting the first print head element temperature;

and wherein the step (E) comprises a step of predicting the second print head element temperature.

5. The method of claim 4, wherein the step (B) comprises a step of predicting the print head element temperature based on a temperature of a print head of which the print head element is a component.

6. The method of claim 4, wherein the step (B) comprises a step of:

(B)(1) predicting the first print head element temperature based on the first printing subinterval; and

wherein the step (E) comprises a step of;

(E)(1) predicting the second print head element temperature based on the second printing subinterval;

wherein the step (D) comprises a step of identifying the first input energy using the first energy computation function based on the first value and the first print head element temperature; and

wherein the step (G) comprises a step of identifying the second input energy using the second energy computation function based on the second value and the second print head element temperature.

7. The method of claim 1, wherein the first printing subinterval and the second printing subinterval differ in duration.

8. The method of claim 1, wherein the first energy computation function comprises a first plurality of one-dimensional functions of desired output density.

9. The method of claim 8, wherein the second energy computation function comprises a second plurality of one-dimensional functions of desired output density, the second plurality of one-dimensional functions being different than the first plurality of one-dimensional functions.

10. The method of claim 1, further comprising a step of:

(H) identifying at least one property selected from the group consisting of an ambient printer temperature and a current humidity; and

wherein the step (D) comprises a step of identifying the first input energy using the first energy computation function based on the first value, the print head element temperature, and the at least one identified property.

11. A device comprising:

first identification means for identifying a density of a pixel in a digital image, the density including;

(1) a first color component associated with a first printing subinterval of-a printing line time and having a first value, and (2) a second color component associated with a second printing subinterval of the printing line time and having a second value;

second identification means for identifying a first print head element temperature;

third identification means for identifying a first energy computation function associated with the first color component;

fourth identification means for identifying a first input energy using the first energy computation function based on the first value and the first print head element temperature;

fifth identification means for identifying a second print head element temperature;

sixth identification means for identifying a second energy computation function associated with the second color component; and

seventh identification means for identifying a second input energy using the second energy computation function based on the second value and the second print head element temperature.

12. The device of claim 11, further comprising:

means for providing the first input energy to a print head element; and

means for providing the second input energy to the print head element.

13. The device of claim 11, wherein the second identification means comprises means for predicting the first print head element temperature;

and wherein the fifth identification means comprises means for predicting the second print head element temperature.

14. The device of claim 13, wherein the second identification means comprises means for predicting the print head element temperature based on a temperature of a print head of which the print head element is a component.

15. The method of claim 13, wherein the second identification means comprises:

means for predicting the first print head element temperature based on the first printing subinterval; and

wherein the fifth identification means comprises;

means for predicting the second print head element temperature based on the second printing subinterval;

wherein the fourth identification means comprises means for identifying the first input energy using the first energy computation function based on the first value and the first print head element temperature; and

wherein the seventh identification means comprises means for identifying the second input energy using the second energy computation function based on the second value and the second print head element temperature.

16. The device of claim 11, wherein the first printing subinterval and the second printing subinterval differ in duration.

17. The device of claim 11, further comprising:

eighth identification means for identifying at least one property selected from the group consisting of an ambient printer temperature and a current humidity; and

wherein the fourth identification means comprises means for identifying the first input energy using the first energy computation function based on the first value, the print head element temperature, and the at least one identified property.

18. A method comprising steps of:

(A) identifying a density of a pixel in a digital image, the density including a first color component having a first value and a second color component having a second value;

(B) predicting a first temperature of a print head element at the beginning of a first subinterval associated with the first color component; and

(C) predicting a second temperature of a print head element at the beginning of a second subinterval associated with the second color component;

wherein the first subinterval differs in duration from the second subinterval.

19. The method of claim 18, further comprising steps of:

(D) identifying a first energy based on the first temperature and the first value;

(E) providing the first energy to the print head element during the first subinterval;

(F) identifying a second energy based on the second temperature and the second value; and

(G) providing the second energy to the print head element during the second subinterval.

20. The method of claim 18, wherein the pixel comprises one of a plurality of pixels in a digital image, and wherein the method further comprises a step of performing steps (A)-(C) for each of the plurality of pixels.

21. The method of claim 18, wherein the step (B) comprises a step of predicting the first temperature based on the first value and a temperature of a print head of which the print head element is a component.

22. The method of claim 21, wherein the step (B) comprises a step of predicting the first temperature based on the first value, the temperature of the print head, and at least one property selected from the group consisting of an ambient printer temperature and a current humidity.

23. The method of claim 18, wherein the step (B) comprises a step of predicting the first temperature using a temperature model with a first set of parameters associated with the first color component, and wherein the step (C) comprises a step of predicting the second temperature using the temperature model with a second set of parameters associated with the second color component, the first set differing from the second set.

24. A device comprising:

first identification means for identifying a density of a pixel in a digital image, the density including a first color component having a first value and a second color component having a second value;

first prediction means for predicting a first temperature of a print head element at the beginning of a first subinterval associated with the first color component; and

second prediction means for predicting a second temperature of a print head element at the beginning of a second subinterval associated with the second color component;

wherein the first subinterval differs in duration from the second subinterval.

25. The device of claim 24, further comprising:

second identification means for identifying a first energy based on the first temperature and the first value;

first energy provision means for providing the first energy to the print head element during the first subinterval;

third identification means for identifying a second energy based on the second temperature and the second value; and

second energy provision means for providing the second energy to the print head element during the second subinterval.

26. The device of claim 24, wherein the first prediction means comprises means for predicting the first temperature based on the first value and a temperature of a print head of which the print head element is a component.

27. The device of claim 26, wherein the first prediction means comprises means for predicting the first temperature based on the first value, the temperature of the print head, and at least one property selected from the group consisting of an ambient printer temperature and a current humidity.

28. The device of claim 24, wherein the first prediction means comprises means for predicting the first temperature using a temperature model with a first set of parameters associated with the first color component, and wherein the second prediction means comprises means for predicting the second temperature using the temperature model with a second set of parameters associated with the second color component, the first set differing from the second set.