Image processing apparatus, image processing method, and image processing program
First Claim
1. An image processing apparatus comprising:
- reconstruction means for obtaining a reconstructed image of a predetermined structure by reconstructing an image representing the structure after fitting a model representing the structure to the structure in an input image having a periodic noise component, the model obtained by carrying out predetermined statistical processing on a plurality of images representing the predetermined structure without a periodic noise component, and the model representing the structure by one or more statistical characteristic quantities and weighting parameter or parameters for weighting the statistical characteristic quantity or quantities according to an individual characteristic of the structure;
noise component extraction means for extracting the periodic noise component in the structure in the input image by calculating a difference value between values of pixels corresponding to each other in the structure in the reconstructed image and in the input image;
noise frequency determination means for determining a frequency of the periodic noise component having been extracted; and
noise removal means for generating a noise-free image by removing the periodic noise component of the determined frequency from the input image.
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Abstract
In order to accurately remove an unnecessary periodic noise component from an image, a reconstruction unit generates a reconstructed image without a periodic noise component by fitting to a face region detected in an image by a face detection unit a mathematical model generated according a method of AAM using a plurality of sample images representing human faces without a periodic noise component. The periodic noise component is extracted by a difference between the face region and the reconstructed image, and a frequency of the noise component is determined. The noise component of the determined frequency is then removed from the image.
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Citations
6 Claims
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1. An image processing apparatus comprising:
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reconstruction means for obtaining a reconstructed image of a predetermined structure by reconstructing an image representing the structure after fitting a model representing the structure to the structure in an input image having a periodic noise component, the model obtained by carrying out predetermined statistical processing on a plurality of images representing the predetermined structure without a periodic noise component, and the model representing the structure by one or more statistical characteristic quantities and weighting parameter or parameters for weighting the statistical characteristic quantity or quantities according to an individual characteristic of the structure;
noise component extraction means for extracting the periodic noise component in the structure in the input image by calculating a difference value between values of pixels corresponding to each other in the structure in the reconstructed image and in the input image;
noise frequency determination means for determining a frequency of the periodic noise component having been extracted; and
noise removal means for generating a noise-free image by removing the periodic noise component of the determined frequency from the input image. - View Dependent Claims (2, 3, 4)
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5. An image processing method comprising the steps of:
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obtaining a reconstructed image of a predetermined structure by reconstructing an image representing the structure after fitting models representing the structure to the structure in an input image having a periodic noise component, the models obtained by carrying out predetermined statistical processing on a plurality of images representing the predetermined structure without a periodic noise component, and the model representing the structure by one or more statistical characteristic quantities and weighting parameter or parameters for weighting the statistical characteristic quantity or quantities according to an individual characteristic of the structure;
extracting the periodic noise component in the structure in the input image by calculating a difference value between values of pixels corresponding to each other in the structure in the reconstructed image and in the input image;
determining a frequency of the periodic noise component having been extracted; and
generating a noise-free image by removing the periodic noise component of the determined frequency from the input image.
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6. An image processing program for causing a computer to function as:
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reconstruction means for obtaining a reconstructed image of a predetermined structure by reconstructing an image representing the structure after fitting a model representing the structure to the structure in an input image having a periodic noise component, the model obtained by carrying out predetermined statistical processing on a plurality of images representing the predetermined structure without a periodic noise component, and the model representing the structure by one or more statistical characteristic quantities and weighting parameter or parameters for weighting the statistical characteristic quantity or quantities according to an individual characteristic of the structure;
noise component extraction means for extracting the periodic noise component in the structure in the input image by calculating a difference value between values of pixels corresponding to each other in the structure in the reconstructed image and in the input image;
noise frequency determination means for determining a frequency of the periodic noise component having been extracted; and
noise removal means for generating a noise-free image by removing the periodic noise component of the determined frequency from the input image.
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Specification