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EP1296510A2 Expired / Lapsed EP ⏱️ 0.0 years remaining

System and method for correcting defects in captured images

Assignee: Intellectual Ventures Fund 83 LLC
•
Filing: 2002-09-09
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Granted: —
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Expires: 2022-09-09
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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 14:09
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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