Method of realism assessment of an image composite
First Claim
Patent Images
1. A method of realism assessment of an image composite, comprising an image processor for performing the following steps:
- providing the image composite having a foreground and a background;
transforming the foreground and the background image composite into a color space, wherein the transformed color space has a first axis representing luminance information, and a second axis and a third axis representing chromatic information;
projecting the foreground and the background images to a subspace represented by the second axis and the third axis; and
assessing the image composite, in the projected subspace, according to a linearity of color distribution of the foreground image and a linearity of color distribution of the background image, and further according to a relationship between the color distribution of the foreground image and the color distribution of the background image.
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Abstract
In a method of realism assessment of an image composite, the foreground and the background are transformed into a color space, such as YCbCr, followed by projecting the foreground and the background to a subspace represented by the axes representing chromatic information. The image composite is assessed in the projected subspace, according to linearity of color distributions of the foreground/the background, or according to distance between the color distributions of the foreground/the background and a center of the transformed color space.
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Citations
20 Claims
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1. A method of realism assessment of an image composite, comprising an image processor for performing the following steps:
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providing the image composite having a foreground and a background; transforming the foreground and the background image composite into a color space, wherein the transformed color space has a first axis representing luminance information, and a second axis and a third axis representing chromatic information; projecting the foreground and the background images to a subspace represented by the second axis and the third axis; and assessing the image composite, in the projected subspace, according to a linearity of color distribution of the foreground image and a linearity of color distribution of the background image, and further according to a relationship between the color distribution of the foreground image and the color distribution of the background image. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method of realism assessment of an image composite, comprising an image processor for performing the following steps:
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providing the image composite having a foreground and a background; transforming the foreground and the background image composite into a color space, wherein the transformed color space has a first axis representing luminance information, and a second axis and a third axis representing chromatic information; measuring distances between color distributions of the foreground and the background images respectively and a center of the transformed color space as grayness; and assessing the image composite, in the transformed color space, according to the measured grayness of the foreground image and the grayness of the background image. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15)
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16. A method of realism assessment of an image composite, comprising an image processor for performing the following steps:
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providing the image composite having a foreground and a background; shrinking the foreground and the background image composite to obtain local color distributions of the foreground and the background images; and determining color similarity between the shrunk foreground image and the shrunk background image by histogram distance; wherein the determined color similarity S is expressed as - View Dependent Claims (17, 18, 19, 20)
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Specification