US6577764B2
Expired / Lapsed
US
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Method for measuring and analyzing digital video quality
Assignee: University of Central Florida
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Filing: 2001-08-01
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Granted: 2003-06-10
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Expires: 2021-08-01
Abstract
Abstract A method and system for analyzing and measuring image quality between two images. A series of conversions and transformations of image information are preformed to produce a single measure of quality. A YCrCb frame sequence is first converted using RGB conversion to an RGB frame sequence. The resulting RGB frame sequence is converted using spherical coordinate transform (SCT) conversion to SCT images. A Gabor filter is applied to the SCT images to produce a Gabor Feature Set, and a statistics calculation is applied to the Gabor Feature Set. The resulting Gabor Feature Set statistics are produced for both the reference frame and the frame to be compared. Quality is computed for these Gabor Feature Set statistics to produce a video quality measure. Spectral decomposition of the frames is also performable for the Gabor Feature Set, rather than the statistics calculation, allowing graphical comparison of results for the compared frames.
Inventors
- 👤 Harley R. Myler
- 👤 Michele Van Dyke-Lewis
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-09 12:11
CPC Classifications
H; H04; H04N; H04N17/00; H04N17/004; G; G06; G06T; G06T7/00; G06T7/0002; G06T7/0004; H04N17/02
Claims Analysis
Total Claims: 20
Claim 1
Independent Claim
192 words
A method for comparing image quality for a first image and a second image, the method comprising: identifying a first set of Red-Green-Blue (RGB) image data for the first image and a second set of RGB image data for the second image; transforming the first RGB image data to spherical coordinates, wherein the spherical coordinates for the first RGB image data comprise a first set of Spherical Coordinate Transform (SCT) image data; transforming the second RGB image data to spherical coordinates, wherein the spherical coordinates for the first RGB image data comprises a second set of SCT image data; applying a Gabor filter to the first set of SCT image data to produce a first Gabor feature set; applying the Gabor filter to the second set of SCT image data to produce a second Gabor feature set; applying a statistics calculation to the first Gabor feature set to produce a first set of Gabor feature statistics; applying the statistics calculation to the second Gabor feature set to produce a second set of Gabor feature statistics; and comparing the first set of Gabor feature statistics to the second set of Gabor feature statistics.
Claim 2
Independent Claim
192 words
A method for comparing image quality for a first image and a second image, the method comprising: identifying a first set of Red-Green-Blue (RGB) image data for the first image and a second set of RGB image data for the second image; transforming the first RGB image data to spherical coordinates, wherein the spherical coordinates for the first RGB image data comprise a first set of Spherical Coordinate Transform (SCT) image data; transforming the second RGB image data to spherical coordinates, wherein the spherical coordinates for the first RGB image data comprises a second set of SCT image data; applying a Gabor filter to the first set of SCT image data to produce a first Gabor feature set; applying the Gabor filter to the second set of SCT image data to produce a second Gabor feature set; applying a statistics calculation to the first Gabor feature set to produce a first set of Gabor feature statistics; applying the statistics calculation to the second Gabor feature set to produce a second set of Gabor feature statistics; and comparing the first set of Gabor feature statistics to the second set of Gabor feature statistics.
Claim 3
Dependent Claim
59 words
The method of claim 1 , wherein identifying a first RGB image for the first image and a second RGB image for the second image further comprises: converting a first luma-red chroma-blue chroma (YCrCb) image for the first image to the first RGB image; and converting a second YCrCb image for the second image to the second RGB image.
Claim 4
Dependent Claim
45 words
The method of claim 1 , wherein comparing the first set of Gabor feature statistics to the second set of Gabor feature statistics comprises: computing a quality measure for the first set of Gabor feature statistics compared to the second set of Gabor feature statistics.
Claim 5
Dependent Claim
179 words
The method of claim 3 , wherein the first set of Gabor feature statistics includes a first plurality of Gabor feature numbers and a first plurality of values, each of the first plurality of values corresponding to one from the first plurality of Gabor feature numbers; wherein the second set of Gabor feature statistics includes a second plurality of Gabor feature numbers and a second plurality of values, each of the second plurality of values corresponding to one from the second plurality of Gabor feature numbers; wherein each of the first plurality of Gabor feature numbers has a corresponding one of the second plurality of Gabor feature numbers; and wherein computing a quality measure for the first set of Gabor feature statistics compared to the second set of Gabor feature statistics includes: for each of the values for each of the first plurality of Gabor feature numbers determining a difference with the corresponding value for each of the second plurality of Gabor feature numbers, such that a plurality of differences are produced; and summing the plurality of produced differences.
Claim 6
Dependent Claim
164 words
The method of claim 3 , wherein the first set of Gabor feature statistics includes a first plurality of Gabor feature numbers and a corresponding first plurality of values for the first plurality of Gabor feature numbers; wherein the second set of Gabor feature statistics includes a second plurality of Gabor feature numbers and a corresponding second plurality of values for the second plurality of Gabor feature numbers; wherein each of the first plurality of Gabor feature numbers has a corresponding one of the second plurality of Gabor feature numbers; and wherein computing a quality measure for the first set of Gabor feature statistics compared to the second set of Gabor feature statistics includes: summing the corresponding values for each of the first plurality of Gabor feature numbers to produce a first sum; summing the corresponding values for each of the second plurality of Gabor feature numbers to produce a second sum; and determining the difference between the first sum and the second sum.
Claim 7
Dependent Claim
15 words
The method of claim 4 , further comprising: normalizing the summed plurality of produced differences.
Claim 8
Dependent Claim
51 words
The method of claim 6 , wherein the first plurality of Gabor feature numbers comprise a first discrete number of first Gabor feature numbers; and wherein normalizing the summed plurality of produced differences comprises: dividing the summed plurality of produced differences by the first discrete number of first Gabor feature numbers.
Claim 9
Dependent Claim
47 words
The method of claim 7 , wherein the second plurality of Gabor feature numbers comprise a second discrete number of second Gabor feature numbers; and wherein the first discrete number of first Gabor feature numbers is equal to the second discrete number of second Gabor feature numbers.
Claim 10
Dependent Claim
26 words
The method of claim 1 , wherein identifying a first RGB image for the first image comprises: determining if the first image comprises an RGB image.
Claim 11
Dependent Claim
51 words
The method of claim 9 , wherein identifying a first set of RGB image data for the first image and a second set of RGB image data for the second image comprises: determining if the first image comprises RGB image data; and determining if the second image comprises RGB image data.
Claim 12
Independent Claim
75 words
A method for analyzing quality of an image, comprising: identifying Red-Green-Blue (RGB) image data for the image; transforming the RGB image data to spherical coordinates, such that the image includes Spherical Coordinate Transform (SCT) image data; applying a Gabor filter to the SCT image data to produce a Gabor feature set for the image; and applying a statistics calculation to the Gabor feature set for the image to produce Gabor feature statistics for the image.
Claim 13
Independent Claim
75 words
A method for analyzing quality of an image, comprising: identifying Red-Green-Blue (RGB) image data for the image; transforming the RGB image data to spherical coordinates, such that the image includes Spherical Coordinate Transform (SCT) image data; applying a Gabor filter to the SCT image data to produce a Gabor feature set for the image; and applying a statistics calculation to the Gabor feature set for the image to produce Gabor feature statistics for the image.
Claim 14
Independent Claim
245 words
A system for comparing image quality for a first image and a second image, the system comprising: a processor for receiving and processing the first image and the second image; and a repository for storing information from the received first image and the received second image; wherein the processor identifies a first set of Red-Green-Blue (RGB) image data for the first image and a second set of RGB image data for the second image; wherein the processor transforms the first RGB image data to spherical coordinates, wherein the spherical coordinates for the first RGB image data comprise a first set of Spherical Coordinate Transform (SCT) image data; wherein the processor transforms the second RGB image data to spherical coordinates, wherein the spherical coordinates for the second RGB image data comprise a second set of SCT image data; wherein the processor applies a Gabor filter to the first set of SCT image data to produce a first Gabor feature set; wherein the processor applies a Gabor filter to the second set of SCT image data to produce a second Gabor feature set; wherein the processor applies a statistics calculation to the first Gabor feature set to produce a first set of Gabor feature statistics; wherein the processor applies the statistics calculation to the second Gabor feature set to produce a second set of Gabor feature statistics; and wherein the processor compares the first set of Gabor feature statistics to the second set of Gabor feature statistics.
Claim 15
Independent Claim
245 words
A system for comparing image quality for a first image and a second image, the system comprising: a processor for receiving and processing the first image and the second image; and a repository for storing information from the received first image and the received second image; wherein the processor identifies a first set of Red-Green-Blue (RGB) image data for the first image and a second set of RGB image data for the second image; wherein the processor transforms the first RGB image data to spherical coordinates, wherein the spherical coordinates for the first RGB image data comprise a first set of Spherical Coordinate Transform (SCT) image data; wherein the processor transforms the second RGB image data to spherical coordinates, wherein the spherical coordinates for the second RGB image data comprise a second set of SCT image data; wherein the processor applies a Gabor filter to the first set of SCT image data to produce a first Gabor feature set; wherein the processor applies a Gabor filter to the second set of SCT image data to produce a second Gabor feature set; wherein the processor applies a statistics calculation to the first Gabor feature set to produce a first set of Gabor feature statistics; wherein the processor applies the statistics calculation to the second Gabor feature set to produce a second set of Gabor feature statistics; and wherein the processor compares the first set of Gabor feature statistics to the second set of Gabor feature statistics.
Claim 16
Dependent Claim
12 words
The system of claim 12 , wherein the repository comprises a database.
Claim 17
Dependent Claim
12 words
The system of claim 12 , wherein the processor comprises a terminal.
Claim 18
Dependent Claim
29 words
The system of claim 14 , wherein the terminal comprises one selected from a group consisting of a personal computer, a minicomputer, a microcomputer, and a main frame computer.
Claim 19
Independent Claim
208 words
A system for comparing image quality for a first image and a second image, the system comprising: means for identifying a first set of Red-Green-Blue (RGB) image data for the first image and a second set of RGB image data for the second image; means for transforming the first RGB image data to spherical coordinates, wherein the spherical coordinates for the first RGB image data comprise a first set of Spherical Coordinate Transform (SCT) image data; means for transforming the second RGB image data to spherical coordinates, wherein the spherical coordinates for the first RGB image data comprises a second set of SCT image data; means for applying a Gabor filter to the first set of SCT image data to produce a first Gabor feature set; means for applying the Gabor filter to the second set of SCT image data to produce a second Gabor feature set; means for applying a statistics calculation to the first Gabor feature set to produce a first set of Gabor feature statistics; means for applying the statistics calculation to the second Gabor feature set to produce a second set of Gabor feature statistics; and means for comparing the first set of Gabor feature statistics to the second set of Gabor feature statistics.
Claim 20
Independent Claim
208 words
A system for comparing image quality for a first image and a second image, the system comprising: means for identifying a first set of Red-Green-Blue (RGB) image data for the first image and a second set of RGB image data for the second image; means for transforming the first RGB image data to spherical coordinates, wherein the spherical coordinates for the first RGB image data comprise a first set of Spherical Coordinate Transform (SCT) image data; means for transforming the second RGB image data to spherical coordinates, wherein the spherical coordinates for the first RGB image data comprises a second set of SCT image data; means for applying a Gabor filter to the first set of SCT image data to produce a first Gabor feature set; means for applying the Gabor filter to the second set of SCT image data to produce a second Gabor feature set; means for applying a statistics calculation to the first Gabor feature set to produce a first set of Gabor feature statistics; means for applying the statistics calculation to the second Gabor feature set to produce a second set of Gabor feature statistics; and means for comparing the first set of Gabor feature statistics to the second set of Gabor feature statistics.
References Cited (Backward Citations)
US4623837A
Cited
US5109425A
Cited
US5206918A
Cited
US5291560A
Cited
US5446492A
Cited
US5596364A
Cited
US5790717A
Cited
US5926555A
Cited
US5574500A
Cited
US5835627A
Cited
US5699121A
Cited
US5818520A
Cited
US5929918A
Cited
US6075884A
Cited
US6070098A
Cited
US5940124A
Cited
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