Picture image processing apparatus and method, and picture processing system
First Claim
1. A picture image processing apparatus, comprising:
- an image storage portion which stores RGB data pixel by pixel which data is obtained from a photographed film image while being separated into color components of R, G, B;
a hue calculator which calculates a hue pixel by pixel based on the RGB data;
a first sampling device which samples pixels having a hue corresponding to a skin color from the RGB data stored on the image storage portion;
a first characteristic quantity calculator which calculates a first characteristic quantity representing a characteristic of the RGB data of the pixels sampled by the first sampling device;
a second sampling device which samples the pixels located in a central part of an image area;
a second characteristic quantity calculator which calculates a second characteristic quantity representing a characteristic of the RGB data of the pixels sampled by the second sampling device;
a correction amount calculator which calculates a density correction amount using the first and second characteristic quantities; and
a density corrector which applies a density correction to the RGB data using the density correction amount;
wherein the correction amount calculator normalizes a group of the first characteristic quantities and a group of the second characteristic quantities of the RGB data of a plurality of standard photographed images, applies Schmidt orthogonalization to the normalized two groups, and calculates a density correction amount by an equation defined by a factor obtained by normalizing the orthogonalized two groups again and variables including the first and second characteristic quantities.
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Accused Products
Abstract
A picture image processing apparatus is provided with a hue calculating portion for calculating a hue pixel by pixel based on RGB data, a first sampling portion for sampling pixels having a hue corresponding to a skin color from the RGB data, a first characteristic quantity calculating portion for calculating a first characteristic quantity representing a characteristic of the RGB data of the pixels, a second sampling portion for sampling the pixels located in a central part of an image area, a second characteristic quantity calculating portion for calculating a second characteristic quantity representing the RGB data of the pixels sampled by the second sampling portion, a correction amount calculating portion for calculating a density correction amount using the first and second characteristic quantities, and a density correcting portion for correcting the density of the RGB data. The density of a main subject in the image can be properly corrected.
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Citations
8 Claims
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1. A picture image processing apparatus, comprising:
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an image storage portion which stores RGB data pixel by pixel which data is obtained from a photographed film image while being separated into color components of R, G, B; a hue calculator which calculates a hue pixel by pixel based on the RGB data; a first sampling device which samples pixels having a hue corresponding to a skin color from the RGB data stored on the image storage portion; a first characteristic quantity calculator which calculates a first characteristic quantity representing a characteristic of the RGB data of the pixels sampled by the first sampling device; a second sampling device which samples the pixels located in a central part of an image area; a second characteristic quantity calculator which calculates a second characteristic quantity representing a characteristic of the RGB data of the pixels sampled by the second sampling device; a correction amount calculator which calculates a density correction amount using the first and second characteristic quantities; and a density corrector which applies a density correction to the RGB data using the density correction amount; wherein the correction amount calculator normalizes a group of the first characteristic quantities and a group of the second characteristic quantities of the RGB data of a plurality of standard photographed images, applies Schmidt orthogonalization to the normalized two groups, and calculates a density correction amount by an equation defined by a factor obtained by normalizing the orthogonalized two groups again and variables including the first and second characteristic quantities. - View Dependent Claims (2, 3, 4)
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5. A picture processing system comprising:
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a picture image processing apparatus including; an image storage portion which stores RGB data pixel by pixel which data is obtained from a photographed film image while being separated into color components of R, C, B; a hue calculator which calculates a hue pixel by pixel based on the RCB data; a first sampling device which samples pixels having a hue corresponding to a skin color from the RGB data; a first characteristic quantity calculator which calculates a first characteristic quantity representing a characteristic of the RGB data of the pixels sampled by the first sampling device; a second sampling device which samples the pixels located in a central part of an image area; a second characteristic quantity calculator which calculates a second characteristic quantity representing a characteristic of the RGB data of the pixels sampled by the second sampling device; a correction amount calculator which calculates a density correction amount using the first and second characteristic quantities; and a density corrector which applies a density correction to the RGB data using the density correction amount; and an image exposing apparatus including an image exposure head for exposing a printing sheet by converting a RGB data into a light signal; wherein the correction amount calculator normalizes a group of the first characteristic quantities and a group of the second characteristic quantities of the RGB data of a plurality of standard photographed images, applies Schmidt orthogonalization to the normalized two groups, and calculates a density correction amount by an equation defined by a factor obtained by normalizing the orthogonalized two groups again and variables including the first and second characteristic quantities. - View Dependent Claims (6, 7, 8)
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Specification