Image-processing method, image-processing apparatus and image-recording apparatus

• US 20050141002A1
• Filed: 12/23/2004
• Published: 06/30/2005
• Est. Priority Date: 12/26/2003
• Status: Abandoned Application

• Current Assignee: Konica Minolta Photo Imaging Incorporated (Konica Minolta Inc.)
• Original Assignee: Konica Minolta Photo Imaging Incorporated (Konica Minolta Inc.)
• Inventors: Takano, Hiroaki, Sato, Daisuke, Nakajima, Takeshi, Ito, Tsukasa
• Application Number:
  US11/021,089
• Publication Number:
  US 20050141002A1
• Time in Patent Office: Days
• US Class Current: 358/1.900
• CPC Class Codes: G06T 2207/10008 from scanner, fax or copier
• CPC Class Codes: G06T 2207/10024 Color image
• CPC Class Codes: G06T 5/40 using histogram techniques
• CPC Class Codes: G06T 5/94 based on local image properties, e.g. for local contrast enhancement
• CPC Class Codes: H04N 1/6027 Correction or control of colour gradation or colour contrast H04N1/6058 takes precedence
• CPC Class Codes: H04N 1/6086 by scene illuminant, i.e. conditions at the time of picture capture, e.g. flash, optical filter used, evening, cloud, daylight, artificial lighting, white point measurement, colour temperature

Abstract

An image processing method of obtaining captured image data of pixels corresponding to one image plane and outputting image data optimized for viewing on an outputting medium, comprising: a brightness value distributing process of dividing a brightness region into plural brightness regions and distributing the pixels of the captured image data in accordance with the brightness value of each pixel into one of the plural brightness regions; a color specification value distributing process of dividing a two dimensional color specification region into plural color specification regions and brightness values and distributing the pixels of the captured image data in accordance with the hue and brightness values of each pixel into one of the plural color specification regions; and a photographing scene estimating process of estimating a photographing scene of the captured image data on the basis of the calculated brightness region occupation ratio and the calculated color specification region occupation ratio.

Claims

1. An image processing method of obtaining captured image data of pixels corresponding to one image plane and outputting image data optimized for viewing on an outputting medium, comprising:

(1) a color specifying process of acquiring a hue value and a brightness value for every pixel of the captured image data;

(2) a brightness value distributing process of dividing a brightness region into plural brightness regions by a predetermined brightness value and distributing the pixels of the captured image data in accordance with the brightness value of each pixel into one of the plural brightness regions;

(3) a color specification value distributing process of dividing a two dimensional color specification region into plural color specification regions by predetermined hue and brightness values and distributing the pixels of the captured image data in accordance with the hue and brightness values of each pixel into one of the plural color specification regions;

(4) a brightness region occupation ratio calculating process of calculating a brightness region occupation ratio representing a occupation ratio of the distributed pixels of each brightness region to all pixels of the one image plane;

(5) a color specification region occupation ratio calculating process of calculating a color specification region occupation ratio representing a occupation ratio of the distributed pixels of each color specification region to all pixels of the one image plane; and

(6) a photographing scene estimating process of estimating a photographing scene of the captured image data on the basis of the calculated brightness region occupation ratio and the calculated color specification region occupation ratio.

2. The image processing method of claim 1, wherein the plural brightness regions comprises a shadow region defined by brightness values from 0 to 84 on the basis of the HSV color specification system, an intermediate region defined by brightness values from 85 to 169, and a highlight region defined by brightness values from 170 to 255, and the plural color specification regions comprises a flesh color shadow region defined by hue values from 0 to 69 and brightness values from 0 to 84 on the basis of the HSV color specification system, a flesh color medium region defined by hue values from 0 to 69 and brightness values from 85 to 169, and a flesh color highlight region defined by hue values from 0 to 69 and brightness values from 170 to 255.

3. The image processing method of claim 1, further comprising:

a histogram producing process of producing a two dimensional histogram of the obtained hue and brightness values and the brightness value distributing process and the color specification value distributing process are conducted based on the two dimensional histogram.

4. The image processing method of claim 1, further comprising:

a face region extracting process of extracting image data a face region from the captured image data, a contribution ratio determining process of determining a contribution ratio of the face region to a gradation converting process, and a gradation converting processing process of conducting a gradation converting process to the captured image data.

5. The image processing method of claim 4, wherein the color specifying process acquires a hue value, a brightness value and a saturation value for every pixel of the captured image data and the face region extracting process extracts a region defined by predetermined hue and saturation values as the face region.

6. The image processing method of claim 5, wherein the face region extracting process includes a histogram producing process of producing a two dimensional histogram of the obtained hue and saturation values and extracts the face region on the basis of the produced two dimensional histogram.

7. The image processing method of claim 5, wherein the region defined by the predetermined hue and saturation values is a region defined by hue values from 0 to 50 and saturation values from 10 to 120 on the basis of the HSV color specification system.

8. The image processing method of claim 1, wherein the color specifying process acquires a hue value, a brightness value and a saturation value for every pixel of the captured image data;

the color specification value distributing process divides a three dimensional color specification space region into plural color specification space regions by predetermined hue, brightness and saturation values and distributing the pixels of the captured image data in accordance with the hue, brightness and saturation values of each pixel into one of the plural color specification space regions;

the color specification region occupation ratio calculating process calculates a color specification space region occupation ratio representing a occupation ratio of the distributed pixels of each color specification space region to all pixels of the one image plane; and

the photographing scene estimating process estimates a photographing scene of the captured image data on the basis of the calculated brightness region and color specification region occupation ratios.

9. The image processing method of claim 8, wherein the plural brightness regions comprises a shadow region defined by brightness values from 0 to 84 on the basis of the HSV color specification system, an intermediate region defined by brightness values from 85 to 169, and a highlight region defined by brightness values from 170 to 255, and the plural color specification space regions comprises a flesh color shadow space region defined by hue values from 0 to 69, saturation values from 0 to 128 and brightness values from 0 to 84 on the basis of the HSV color specification system, a flesh color medium space region defined by hue values from 0 to 69, saturation values from 0 to 128 and brightness values from 85 to 169, and a flesh color highlight space region defined by hue values from 0 to 69, saturation values from 0 to 128 and brightness values from 170 to 255.

10. The image processing method of claim 8, further comprising:

a histogram producing process of producing a three dimensional histogram of the obtained hue, saturation and brightness values and the brightness value distributing process and the color specification value distributing process are conducted based on the three dimensional histogram.

11. The image processing method of claim 8, further comprising:

a face region extracting process of extracting image data a face region from the captured image data, a contribution ratio determining process of determining a contribution ratio of the face region to a gradation converting process, and a gradation converting processing process of conducting a gradation converting process to the captured image data.

12. The image processing method of claim 8, wherein the color specifying process acquires a hue value, a brightness value and a saturation value for every pixel of the captured image data and the face region extracting process extracts a region defined by predetermined hue and saturation values as the face region.

13. The image processing method of claim 12, wherein the face region extracting process includes a histogram producing process of producing a two dimensional histogram of the obtained hue and saturation values and extracts the face region on the basis of the produced two dimensional histogram.

14. The image processing method of claim 12, wherein the region defined by the predetermined hue and saturation values is a region defined by hue values from 0 to 50 and saturation values from 10 to 120 on the basis of the HSV color specification system.

15. An image processing apparatus of obtaining captured image data of pixels corresponding to one image plane and outputting image data optimized for viewing on an outputting medium, comprising:

(1) a color specifying section for acquiring a hue value and a brightness value for every pixel of the captured image data;

(2) a brightness value distributing section for dividing a brightness region into plural brightness regions by a predetermined brightness value and distributing the pixels of the captured image data in accordance with the brightness value of each pixel into one of the plural brightness regions;

(3) a color specification value distributing section for dividing a two dimensional color specification region into plural color specification regions by predetermined hue and brightness values and distributing the pixels of the captured image data in accordance with the hue and brightness values of each pixel into one of the plural color specification regions;

(4) a brightness region occupation ratio calculating section for calculating a brightness region occupation ratio representing a occupation ratio of the distributed pixels of each brightness region to all pixels of the one image plane;

(5) a color specification region occupation ratio calculating section for calculating a color specification region occupation ratio representing a occupation ratio of the distributed pixels of each color specification region to all pixels of the one image plane; and

(6) a photographing scene estimating section for estimating a photographing scene of the captured image data on the basis of the calculated brightness region occupation ratio and the calculated color specification region occupation ratio.

16. The image processing apparatus of claim 15, wherein the plural brightness regions comprises a shadow region defined by brightness values from 0 to 84 on the basis of the HSV color specification system, an intermediate region defined by brightness values from 85 to 169, and a highlight region defined by brightness values from 170 to 255, and the plural color specification regions comprises a flesh color shadow region defined by hue values from 0 to 69 and brightness values from 0 to 84 on the basis of the HSV color specification system, a flesh color medium region defined by hue values from 0 to 69 and brightness values from 85 to 169, and a flesh color highlight region defined by hue values from 0 to 69 and brightness values from 170 to 255.

17. The image processing apparatus of claim 15, further comprising:

a histogram producing section for producing a two dimensional histogram of the obtained hue and brightness values and the brightness value distributing section and the color specification value distributing section are conducted based on the two dimensional histogram.

18. The image processing apparatus of claim 15, further comprising:

a face region extracting section for extracting image data a face region from the captured image data, a contribution ratio determining section for determining a contribution ratio of the face region to a gradation converting section, and a gradation converting processing section for conducting a gradation converting section to the captured image data.

19. The image processing apparatus of claim 18, wherein the color specifying section acquires a hue value, a brightness value and a saturation value for every pixel of the captured image data and the face region extracting section extracts a region defined by predetermined hue and saturation values as the face region.

20. The image processing apparatus of claim 19, wherein the face region extracting section includes a histogram producing section for producing a two dimensional histogram of the obtained hue and saturation values and extracts the face region on the basis of the produced two dimensional histogram.

21. The image processing apparatus of claim 19, wherein the region defined by the predetermined hue and saturation values is a region defined by hue values from 0 to 50 and saturation values from 10 to 120 on the basis of the HSV color specification system.

22. The image processing apparatus of claim 15, wherein the color specifying section acquires a hue value, a brightness value and a saturation value for every pixel of the captured image data;

the color specification value distributing section divides a three dimensional color specification space region into plural color specification space regions by predetermined hue, brightness and saturation values and distributing the pixels of the captured image data in accordance with the hue, brightness and saturation values of each pixel into one of the plural color specification space regions;

the color specification region occupation ratio calculating section calculates a color specification space region occupation ratio representing a occupation ratio of the distributed pixels of each color specification space region to all pixels of the one image plane; and

the photographing scene estimating section estimates a photographing scene of the captured image data on the basis of the calculated brightness region and color specification region occupation ratios.

23. The image processing apparatus of claim 22, wherein the plural brightness regions comprises a shadow region defined by brightness values from 0 to 84 on the basis of the HSV color specification system, an intermediate region defined by brightness values from 85 to 169, and a highlight region defined by brightness values from 170 to 255, and the plural color specification space regions comprises a flesh color shadow space region defined by hue values from 0 to 69, saturation values from 0 to 128 and brightness values from 0 to 84 on the basis of the HSV color specification system, a flesh color medium space region defined by hue values from 0 to 69, saturation values from 0 to 128 and brightness values from 85 to 169, and a flesh color highlight space region defined by hue values from 0 to 69, saturation values from 0 to 128 and brightness values from 170 to 255.

24. The image processing apparatus of claim 22, further comprising:

a histogram producing section for producing a three dimensional histogram of the obtained hue, saturation and brightness values and the brightness value distributing section and the color specification value distributing section are conducted based on the three dimensional histogram.

25. The image processing apparatus of claim 22, further comprising:

a face region extracting section for extracting image data a face region from the captured image data, a contribution ratio determining section for determining a contribution ratio of the face region to a gradation converting section, and a gradation converting processing section for conducting a gradation converting section to the captured image data.

26. The image processing apparatus of claim 22, wherein the color specifying section acquires a hue value, a brightness value and a saturation value for every pixel of the captured image data and the face region extracting section extracts a region defined by predetermined hue and saturation values as the face region.

27. The image processing apparatus of claim 26, wherein the face region extracting section includes a histogram producing section for producing a two dimensional histogram of the obtained hue and saturation values and extracts the face region on the basis of the produced two dimensional histogram.

28. The image processing apparatus of claim 26, wherein the region defined by the predetermined hue and saturation values is a region defined by hue values from 0 to 50 and saturation values from 10 to 120 on the basis of the HSV color specification system.