Image processing
First Claim
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1. An image processing method performed by an image processing apparatus for selecting a subset of n (where n is two or more) images representative of a test set of images, said method comprising:
- detecting, by a processor of said image processing apparatus, a degree of similarity between images of said test set of images, respective ones of said test set of images being divided into one or more test regions, each of which being compared with one or more reference regions in one or more other images of said test set, identifying for each respective test region a reference region that most closely corresponds thereto, measuring the similarity between an image and a reconstruction of the image from the identified reference regions;
selecting, by the processor of said image processing apparatus, a subset of images comprising those n images having substantially the lowest similarity with respect to other images of said set;
populating a test subset with n images from said set;
detecting, by the processor of said image processing apparatus, mutual similarity between said n images in said test subset; and
for each other image in said set in turn;
detecting, by the processor of said image processing apparatus, a degree of similarity between each respective image and said n images in said subset; and
if an image is less similar to said n images in said test subset than one of said images in said subset is to the remainder of said test subset, replacing said least dissimilar image in said subset with the one of said images.
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Abstract
An image processing method for selecting a subset of n (where n is two or more) images representative of a test set of images. The method includes detecting a degree of similarity between images in the test set of images so that the subset of images comprises those n images having substantially the lowest similarity with other images in the set.
24 Citations
13 Claims
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1. An image processing method performed by an image processing apparatus for selecting a subset of n (where n is two or more) images representative of a test set of images, said method comprising:
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detecting, by a processor of said image processing apparatus, a degree of similarity between images of said test set of images, respective ones of said test set of images being divided into one or more test regions, each of which being compared with one or more reference regions in one or more other images of said test set, identifying for each respective test region a reference region that most closely corresponds thereto, measuring the similarity between an image and a reconstruction of the image from the identified reference regions; selecting, by the processor of said image processing apparatus, a subset of images comprising those n images having substantially the lowest similarity with respect to other images of said set; populating a test subset with n images from said set; detecting, by the processor of said image processing apparatus, mutual similarity between said n images in said test subset; and for each other image in said set in turn; detecting, by the processor of said image processing apparatus, a degree of similarity between each respective image and said n images in said subset; and if an image is less similar to said n images in said test subset than one of said images in said subset is to the remainder of said test subset, replacing said least dissimilar image in said subset with the one of said images. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. An image processing apparatus operable to select a subset of n (where n is two or more) images representative of a test set of images, said apparatus comprising:
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a processor configured to detect a degree of similarity between images in said test set of images, wherein respective ones of said test set of images are divided into one or more test regions, each of which being compared with one or more reference regions in one pg 29. or more other images of said test set, for each respective test region, a reference region being identified that most closely corresponds thereto, the similarity between an image and a reconstruction of the image from the identified reference regions being measured; and wherein a subset of images is selected which comprises those n images having substantially the lowest similarity with respect to other images of said set, a test subset with n images from said set are populated to detect mutual similarities between said n images and said test subset, for each other image in said set intern to detect a degree of similarities between each respective image and said n images in said subset so that if an image is less similar to said n images and said test subset then one of set images in said subset is to the remainder of said test subset, replacing said at least this similar image in said subset with the one of said images. - View Dependent Claims (12, 13)
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Specification