Image processing apparatus, image processing method and image processing program

• US 20070236707A1
• Filed: 04/06/2006
• Published: 10/11/2007
• Est. Priority Date: 04/06/2006
• Status: Abandoned Application

• Current Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation), Toshiba Tec Corporation (Toshiba Corporation)
• Original Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation), Toshiba Tec Corporation (Toshiba Corporation)
• Inventors: Shoda, Hirokazu
• Application Number:
  US11/399,006
• Publication Number:
  US 20070236707A1
• Time in Patent Office: Days
• US Class Current: 358/1.200
• CPC Class Codes: G06T 3/40 Scaling of whole images or parts thereof, e.g. expanding or contracting
• CPC Class Codes: G06T 5/40 using histogram techniques
• CPC Class Codes: G06T 5/90 Dynamic range modification of images or parts thereof
• CPC Class Codes: G06T 7/11 Region-based segmentation
• CPC Class Codes: H04N 1/403 Discrimination between the two tones in the picture signal of a two-tone original
• CPC Class Codes: H04N 1/409 Edge or detail enhancement; Noise or error suppression

Abstract

To provide a technology that can contribute to realization of both of reproduction of a fine line in low density and reduction of noise at an outline portion of a patch area of a uniform density, which could not be consistent in the related art. A reducing unit for executing a reducing process for reducing the resolution of an image in image data to be processed; a histogram generating unit for generating a histogram of a color space signal in a pixel area of M rows×N columns (here M, N are one or larger integers) in the image on which the reducing process is applied by the reducing unit; and a binarizing unit for executing a binarizing process on a pixel in the image on which the reducing process is applied by the reducing unit on the basis of the histogram generated in the histogram generating unit are provided.

Claims

1. An image processing apparatus comprising:

a reducing unit that executes a reducing process for reducing the resolution of an image in image data to be processed;

a histogram generating unit that generates a histogram of a color space signal in a pixel area of M rows×

N columns (here M, N are one or larger integers) in the image on which the reducing process is applied by the reducing unit; and

a binarizing unit that executes a binarizing process on a pixel in the image on which the reducing process is applied by the reducing unit on the basis of the histogram generated by the histogram generating unit.

2. The image processing apparatus according to claim 1, comprising an area discrimination unit for discriminating a pixel area of a uniform density having a thickness equal to or larger than a predetermined value in the image in the image data on the basis of the image binarized by the binarizing unit.

3. The image processing apparatus according to claim 1, wherein the binarizing unit divides the histogram generated by the histogram generating unit into at least two density segments, selects at least one of predetermined threshold values on the basis of a frequency of usage of color contents in the respective segments, and executes the binarizing process for the pixel in the image on which the reducing process is applied by the reducing unit.

4. The image processing apparatus according to claim 2 comprising:

an edge detection unit that executes an edge detecting process for detecting edge strength on the image in the image data as the target of processing; and

an image type discrimination unit that discriminates an image type of the pixel area of the uniform density having a thickness equal to or larger than the predetermined value in the image in the image data on the basis of a result of discrimination by the area discrimination unit and a result detected by the edge detection unit.

5. The image processing apparatus according to claim 4, wherein the image type discrimination unit discriminates which one of the character, the patch image of a uniform density and the non-edge image the pixel area of a uniform density having a thickness equal to or larger than the predetermined value in the image in the image data constitutes on the basis of the result of the discrimination by the area discrimination unit and the result detected by the edge detection unit.

6. The image processing apparatus according to claim 4, comprising a filter selecting unit for selecting a type of filtering process to be applied to the pixel area for the respective image types on the basis of the image type discriminated by the image type discrimination unit.

7. The image processing apparatus according to claim 6, comprising a parameter setting unit for setting parameters of the filtering process to be applied to the pixel areas for the respective image types on the basis of the image type discriminated by the image type discrimination unit.

8. The image processing apparatus according to claim 2 comprising:

an edge detection unit that applies an edge detecting process for detecting edge strength on the image in the image data as the target of processing; and

a line-thinning unit that executes a line-thinning process on the pixels detected as those that form an outline of the pixel area of a uniform density by the edge detection unit out of the pixels discriminated by the area discriminating unit to constitute the pixel area of a uniform density having a thickness equal to or larger than the predetermined value in the image in the image data.

9. An image processing method comprising:

a reducing step that executes a reducing process for reducing the resolution of an image in image data to be processed;

a histogram generating step that generates a histogram of a color space signal in a pixel area of M rows×

N columns (here M, N are one or larger integers) in the image on which the reducing process is applied in the reducing step; and

a binarizing step that executes a binarizing process on a pixel in the image on which the reducing process is applied in the reducing step on the basis of the histogram generated in the histogram generating step.

10. The image processing method according to claim 9, comprising an area discriminating step for discriminating a pixel area of a uniform density having a thickness equal to or larger than a predetermined value in the image in the image data on the basis of the image binarized in the binarizing step.

11. The image processing method according to claim 9, wherein the binarizing step divides the histogram generated in the histogram generating step into at least two density segments, selects at least one of the predetermined threshold value on the basis of a frequency of usage of color contents in the respective segments, and executes the binarizing process for the pixel in the image on which the reducing process is applied in the reducing step.

12. The image processing method according to claim 10 comprising:

an edge detecting step that executes an edge detecting process for detecting edge strength on the image in the image data as the target of processing; and

an image type discriminating step that discriminates the image type of the pixel area of a uniform density having a thickness equal to or larger than the predetermined value in the image in the image data on the basis of a result of discrimination in the area discriminating step and a result detected in the edge detecting step.

13. The image processing method according to claim 12, comprising a filter selecting step for selecting a type of filtering process to be applied to the pixel area for the respective image types on the basis of the image type discriminated in the image type discriminating step.

14. The image processing method according to claim 10 comprising:

an edge detecting step that applies an edge detecting process for detecting edge strength on the image in the image data as the target of processing; and

a line-thinning step that executes a line-thinning process for the pixels detected as pixels that form an outline of the pixel area of a uniform density in the edge detecting step out of the pixels discriminated in the area discriminating step to be those that constitute the pixel area of a uniform density having a thickness equal to or larger than the predetermined value in the image in the image data.

15. An image processing program that causes a computer to execute a reducing step that executes a reducing process for reducing the resolution of an image in image data to be processed;

a histogram generating step that generates a histogram of a color space signal in a pixel area of M rows×

N columns (here M, N are one or larger integers) in the image on which the reducing process is applied in the reducing step; and

a binarizing step that executes a binarizing process on a pixel in the image on which the reducing process is applied in the reducing step on the basis of the histogram generated in the histogram generating step.

16. The image processing program according to claim 15, comprising an area discriminating step for discriminating a pixel area of a uniform density having a thickness equal to or larger than a predetermined value in the image in the image data on the basis of the image binarized in the binarizing step.

17. The image processing program according to claim 15, wherein the binarizing step divides the histogram generated in the histogram generating step into at least two density segments, selects at least one of the predetermined threshold value on the basis of a frequency of usage of color contents in the respective segments, and executes the binarizing process for the pixel in the image on which the reducing process is applied in the reducing step.

18. The image processing program according to claim 16 comprising:

an edge detecting step that executes an edge detecting process for detecting edge strength on the image in the image data as the target of processing; and

an image type discriminating step for discriminating an image type of the pixel area of a uniform density having a thickness equal to or larger than the predetermined value in the image in the image data on the basis of a result of discrimination in the area discriminating step and a result detected in the edge detecting step.

19. The image processing program according to claim 18, comprising a filter selecting step for selecting a type of filtering process to be applied to the pixel area for the respective image types on the basis of the image type discriminated in the image type discriminating step.

20. The image processing program according to claim 16 comprising:

an edge detecting step that apples an edge detecting process for detecting edge strength on the image in the image data as the target of processing; and

a line-thinning step that executes a line-thinning process for the pixels detected as pixels that form an outline of the pixel area of a uniform density in the edge detecting step out of the pixels that are discriminated in the area discriminating step to be those that constitute the pixel area of a uniform density having a thickness equal to or larger than the predetermined value in the image in the image data.