Patent EP1296510A2 successfully refreshed from Google Patents.
EP1296510A2
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System and method for correcting defects in captured images
Assignee: Intellectual Ventures Fund 83 LLC
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Filing: 2002-09-09
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Granted: —
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Expires: 2022-09-09
Abstract
Abstract A captured image is processed with one or more correction processes selected from a plurality of such processes, each associated with correction of a specific type of image defect, in order to improve the appearance of a viewed image generated from the captured image. Preliminary to the image processing, meta data related to image capture is obtained that is unique to each captured image, where the meta data is capable of indicating whether the specific types of image defects are likely to be present in the viewed image generated from the captured image. The processing then involves predicting the presence of the image defects based at least in part on the meta data, thereby generating process application criteria which indicate a level of image defect that if left untreated would reduce the perceived quality of the viewed image; selecting one or more correction processes to employ on the captured image based on the process application criteria; and applying the one or more selected correction processes to the captured image to generate the viewed image.
Inventors
- 👤 Richard Bruce Eastman Kodak Company Wheeler
- 👤 Brian William Eastman Kodak Company Keelan
Bibliographic Details
Application Number
—
Jurisdiction
EP
Data Source
google_patents
Last Synchronized
2026-11-09 14:21
CPC Classifications
H; H04; H04N; H04N1/00; H04N1/46; H04N1/56; H04N1/60; H04N1/62; H04N1/40; H04N1/6083; H04N1/6086; H04N1/624
Claims Analysis
Total Claims: 10
Claim 1
Independent Claim
174 words
A method for processing a captured image with one or
more correction processes selected from a plurality of such processes, each
associated with correction of a specific type of image defect, in order to improve
the appearance of a viewed image generated from the captured image, said
method comprising the steps of: collecting meta data related to image capture that is unique to each
image that is captured, wherein the meta data is capable of indicating whether the
specific types of image defects are likely to be present in the viewed image
generated from the captured image; predicting the presence of the image defects based at least in part
on the meta data, thereby generating process application criteria which indicate a
level of image defect that if left untreated would reduce the perceived quality of
the viewed image; selecting one or more correction processes to employ on the
captured image based on the process application criteria; and applying the one or more selected correction processes to the
captured image to generate the viewed image.
Claim 2
Dependent Claim
22 words
The method as claimed in claim 1 wherein the meta data
includes scene, camera or demographic data related to the image capture.
Claim 3
Dependent Claim
43 words
The method as claimed in claim 1 wherein the step of
predicting the presence of the image defects also predicts the severity of the
defects and the strength of the corresponding correction process can be altered in
response to the degree of severity.
Claim 4
Dependent Claim
24 words
The method as claimed as in claim 1 wherein the meta data
related to image capture is collected at the time of image capture.
Claim 5
Dependent Claim
28 words
The method as claimed as in claim 1 wherein the meta data
related to image capture is collected at a time other than the time of image
capture.
Claim 6
Dependent Claim
60 words
The method as claimed in claim 1 wherein the image defect
is a noise defect and the meta data is selected from the group consisting of a lens
exposure constant, standard (printing) reproduction magnification, non-standard
(enlargement) magnification, diagonal dimension of a final display, ambient light
level of the primary subject, exposure time, camera lens f-number, and main flash
guide number.
Claim 7
Dependent Claim
69 words
The method as claimed in claim 1 wherein the image defect
is a red-eye defect due to flash illumination of a subject and the meta data is
selected from the group consisting of a use (on-off) of the flash illumination,
illumination level of the primary subject, subject distance, flash-to-camera lens
separation, focal length of camera lens, current reproduction (printing)
magnification, diagonal dimension of final display, and preflash guide number.
Claim 8
Dependent Claim
65 words
The method as claimed in claim 1 wherein the image defect
is a tone scale defect and the meta data is selected from the group consisting of
respective illumination levels of the subject and background, subject distance,
background distance, exposure time, camera lens f-number, use (on/off) of flash
illumination, guide number of a main flash, lens exposure constant and ISO speed
of a capture device.
Claim 9
Dependent Claim
53 words
The method as claimed in claim 1 wherein the image defect
is a sharpness defect and the meta data is selected from the group consisting an
exposure time, standard reproduction (printing) magnification, non-standard
(enlargement) magnification, current reproduction (printing) magnification,
camera lens focus range, camera lens focal length, camera shake factor and linear
smear.
Claim 10
Dependent Claim
54 words
The method as claimed in claim 1 further comprising the
step of collecting meta data related to display parameters of the viewed image
generated from each image that is captured, wherein said meta data is capable of
indicating whether the specific types of image defects are likely to be present in
the viewed image.
References Cited (Backward Citations)
US5311240A
Cited
EP0838939A2
Cited
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