Method and system for learning-based quality assessment of images
First Claim
1. A method in a computer system for assessing quality of an image, the method comprising:
- providing a first set of images, each image having a quality rating;
training a classifier to indicate quality of images using the first set of images and their quality ratings; and
applying the trained classifier to assess the quality of the image.
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Accused Products
Abstract
A method and system for learning-based assessment of the quality of an image is provided. An image quality assessment system trains an image classifier based on a training set of sample images that have quality ratings. To train the classifier, the assessment system generates a feature vector for each sample image representing various attributes of the image. The assessment system may train the classifier using an adaptive boosting technique to calculate a quality score for an image. Once the classifier is trained, the assessment system may calculate the quality of an image by generating a feature vector for that image and applying the trained classifier to the feature vector to calculate the quality score for the image.
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Citations
36 Claims
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1. A method in a computer system for assessing quality of an image, the method comprising:
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providing a first set of images, each image having a quality rating;
training a classifier to indicate quality of images using the first set of images and their quality ratings; and
applying the trained classifier to assess the quality of the image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A computer-readable medium containing instructions for controlling a computer system to assess quality of an image, by a method comprising:
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providing a first set and a second set of images;
providing a quality rating for each image of the first set;
providing a first quality score for each image of the second set;
training a classifier to indicate quality of images using the first set of images and their quality ratings;
calculating a second quality score for each image of the second set using the trained classifier; and
generating a mapping function based on the trained classifiers and the first and second quality scores;
wherein a quality score for the image is calculated using the trained classifier and generated mapping function. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24, 25, 26)
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27. A computer system for assessing quality of an image, comprising:
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a component that trains a classifier to indicate quality of images, the training based on a first set of images and their quality ratings; and
a component that calculates a quality score for the image by applying the trained classifier. - View Dependent Claims (28, 29, 30, 31, 32, 33, 34, 35, 36)
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Specification