Image processing system which adds information to formed images

• US 5,832,186 A
• Filed: 04/07/1997
• Issued: 11/03/1998
• Est. Priority Date: 09/30/1994
• Status: Expired due to Term

• Current Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Original Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Inventors: Kawana, Takashi
• Primary Examiner(s): ROGERS, SCOTT A
• Application Number:
  US08/826,675
• Time in Patent Office: 575 Days
• Field of Search: 395/109, 358/501, 358/401, 358/530, 358/443, 358/468, 358/448, 358/296, 358/300, 358/450, 399/366, 283/902
• US Class Current: 358/1.9
• CPC Class Codes: H04N 1/00838 Preventing unauthorised reproduction
• CPC Class Codes: H04N 1/0402 Scanning different formats; Scanning with different densities of dots per unit length, e.g. different numbers of dots per inch (dpi); Conversion of scanning standards H04N1/00283 takes precedence; picture signal circuits for modification of image resolution H04N1/3935, H04N1/40068
• CPC Class Codes: H04N 1/1135 for the main-scan only
• CPC Class Codes: H04N 1/12 using the sheet-feed movement or the medium-advance or the drum-rotation movement as the slow scanning component, e.g. arrangements for the main-scanningsheet-feed movement by translatory movement of a flat picture-bearing surface H04N1/1008; main-scanning using oscillating or rotating mirrors H04N1/113; using multi-element arrays H04N1/19
• CPC Class Codes: H04N 1/32203 Spatial or amplitude domain methods H04N1/32309 takes precedence
• CPC Class Codes: H04N 1/32208 involving changing the magnitude of selected pixels, e.g. overlay of information or super-imposition H04N1/32219, H04N1/32224 take precedence
• CPC Class Codes: H04N 1/32251 in multilevel data, e.g. greyscale or continuous tone data
• CPC Class Codes: H04N 1/32293 Repeating the additional information in a regular pattern
• CPC Class Codes: H04N 1/32309 in colour image data
• CPC Class Codes: H04N 2201/0082 Image hardcopy reproducer H04N2201/0091 - H04N2201/0094 take precedence
• CPC Class Codes: H04N 2201/3205 of identification information, e.g. name or ID code H04N2201/3209 takes precedence
• CPC Class Codes: H04N 2201/327 which are undetectable to the naked eye, e.g. embedded codes
• CPC Class Codes: H04N 2201/3271 Printing or stamping

Abstract

An image processing apparatus supplies image data, forms an image on a medium based on the image data, and adds predetermined information to the image formed on the medium. The predetermined information is added in the apparatus by using a combination of substantially representable maximum and minimum densities.

Claims

1. An image processing apparatus comprising:

supplying means for supplying image data;

forming means for forming an image on a medium based on the image data; and

adding means for adding predetermined information to the image formed on the medium,

wherein the predetermined information is represented by using a plurality of identically-sized units, each unit composed of plural dots, and each of the units includes a first predetermined number of dots having a maximum density and a second predetermined number of dots having a minimum density.

2. The apparatus according to claim 1, wherein the image data is composed of a plurality of color components.

3. The apparatus according to claim 2, wherein said adding means adds the predetermined information to a yellow component of the image.

4. The apparatus according to claim 3, wherein said adding means adds the predetermined information so as to be difficult to discriminate with human eyes.

5. The apparatus according to claim 1, wherein the predetermined information is identification information given by a supplier who supplies the apparatus.

6. The apparatus according to claim 1, wherein each of the units is composed of a single dot having a substantially maximum density and another single dot having a substantially minimum density.

7. An image processing apparatus comprising:

input means for inputting M-valued image data;

adding means for adding predetermined information to the M-valued image data; and

output means for outputting the M-valued image data to which the predetermined information had been added by said adding means;

wherein the predetermined information comprises a combination of N fixed density values (M>

N), and said adding means converts a part of an image represented by the M-valued image data into a fixed density value.

8. The apparatus according to claim 7, wherein M=256 and N=2.

9. The apparatus according to claim 7, wherein said input means inputs M-valued image data for each of plural color components, and said adding means adds the predetermined information to a yellow component of the plural color components.

10. The apparatus according to claim 7, further comprising image forming means for forming an image represented by the M-valued image data output by said output means.

11. The apparatus according to claim 7, further comprising a host computer for supplying image information representing the M-valued image data.

12. The apparatus according to claim 7, further comprising an image processing unit for generating the M-valued image data by interpreting image information described by a predetermined description language, and for supplying the M-valued image data to said input means.

13. The apparatus according to claim 12, further comprising a host computer for supplying the image information described by the predetermined description language.

14. An image processing method comprising the steps of:

supplying image data;

forming an image on a medium based on the image data; and

adding predetermined information to the image formed on the medium,

wherein the predetermined information is represented by using a plurality of identically-sized units, each unit composed of plural dots, and each of the units includes a first predetermined number of dots having a maximum density and a second predetermined number of dots having a minimum density.

15. An image processing method comprising:

an input step of inputting M-valued image data;

an adding step of adding predetermined information to the M-valued image data; and

an output step of outputting the M-valued image data to which the predetermined information has been added in said adding step;

wherein the predetermined information comprises a combination of N fixed density values (M>

N), and a part of an image represented by the M-valued image data is converted into a fixed density value in said adding step.