Image processor for converting image by using image retrieved based on keyword
First Claim
1. An image processor comprising:
- a keyword inputting unit that inputs a keyword;
a first image acquiring unit that acquires a plurality of first images related to the keyword inputted by the keyword inputting unit;
a calculating unit that calculates a mean value of pixel values of pixels in each of the plurality of first images acquired by the first image acquiring unit, thereby determining a plurality of mean values for the plurality of first images;
a selection unit that selects one first image from the plurality of first images based upon a color attribute of pixels in each of the plurality of first images, the selecting unit selects one of the first images whose mean value is closest to a mean value of the plurality of mean values;
a first characteristic quantity determining unit that determines first characteristic quantity data expressing a characteristic of the selected one first image;
a second image inputting unit that inputs a second image;
a second characteristic quantity determining unit that determines second characteristic quantity data expressing a characteristic of the second image inputted by the second image inputting unit; and
an image correcting unit that performs an image correction process on the second image to adjust characteristic of the second image represented by the second characteristic quantity data close to the first characteristic quantity data.
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Abstract
An image processor includes a keyword inputting unit, a first image acquiring unit, a first characteristic quantity determining unit, a second image inputting unit, a second characteristic quantity determining unit and an image correcting unit. The keyword inputting unit inputs a keyword. The first image acquiring unit acquires at least one first image related to the keyword inputted by the keyword inputting unit. The first characteristic quantity determining unit determines first characteristic quantity data expressing a characteristic of at least one of the at least one first image acquired by the first image acquiring unit. The second image inputting unit inputs a second image. The second characteristic quantity determining unit determines second characteristic quantity data expressing a characteristic of the second image inputted by the second image inputting unit. The image correcting unit performs an image correction process on the second image to adjust characteristic of the second image represented by the second characteristic quantity data close to the first characteristic quantity data.
53 Citations
8 Claims
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1. An image processor comprising:
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a keyword inputting unit that inputs a keyword; a first image acquiring unit that acquires a plurality of first images related to the keyword inputted by the keyword inputting unit; a calculating unit that calculates a mean value of pixel values of pixels in each of the plurality of first images acquired by the first image acquiring unit, thereby determining a plurality of mean values for the plurality of first images; a selection unit that selects one first image from the plurality of first images based upon a color attribute of pixels in each of the plurality of first images, the selecting unit selects one of the first images whose mean value is closest to a mean value of the plurality of mean values; a first characteristic quantity determining unit that determines first characteristic quantity data expressing a characteristic of the selected one first image; a second image inputting unit that inputs a second image; a second characteristic quantity determining unit that determines second characteristic quantity data expressing a characteristic of the second image inputted by the second image inputting unit; and an image correcting unit that performs an image correction process on the second image to adjust characteristic of the second image represented by the second characteristic quantity data close to the first characteristic quantity data. - View Dependent Claims (2, 3, 4, 5, 6)
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7. An image processing method, comprising:
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inputting a keyword; acquiring a plurality of first images related to the inputted keyword; calculating a mean value of pixel values of pixels in each of the acquired plurality of first images, thereby determining a plurality of mean values for the plurality of first images, selecting one first image from the plurality of first images based upon a color attribute of pixels in each of the plurality of first images, the selecting including selecting the one first image whose mean value is closet to a mean value of the plurality of mean values; determining first characteristic quantity data expressing a characteristic of the selected one first image; inputting a second image; determining second characteristic quantity data expressing a characteristic of the inputted second image; and performing an image correction process on the second image to adjust characteristic of the second image represented by the second characteristic quantity data close to the first characteristic quantity data.
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8. A computer readable storage medium storing a set of image processing program instructions, the instructions comprising:
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inputting a keyword; acquiring a plurality of first images related to the inputted keyword; calculating a mean value of pixel values of pixels in each of the acquired plurality of first images, thereby determining a plurality of mean values for the plurality of first images, selecting one first image from the plurality of first images based upon a color attribute of pixels in each of the plurality of first images, the selecting including selecting the one first image whose mean value is closest to a mean value of the plurality of the mean value; determining first characteristic quantity data expressing a characteristic of the selected one first; inputting a second image; determining second characteristic quantity data expressing a characteristic of the inputted second image; and performing an image correction process on the second image to adjust characteristic of the second image represented by the second characteristic quantity data close to the first characteristic quantity data.
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Specification