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Automatic red-eye detection and correction - IEEE Xplore
- https://ieeexplore.ieee.org/document/1038147/#:~:text=A%20method%20is%20presented%20to%20automatically%20detect%20and,several%20refining%20masks%20computed%20over%20the%20facial%20region.
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Automated red-eye detection and correction in digital …
- https://ieeexplore.ieee.org/abstract/document/1421575/
- Caused by light reflected off the subject's retina, red-eye is a troublesome problem in consumer photography. Although most of the cameras have the red-eye reduction mode, the result reality is that no on-camera system is completely effective. In this paper, we propose a fully automatic approach to detecting and correcting red-eyes in digital images. In order to detect red-eyes in …
Automated red-eye detection and correction in digital …
- https://ieeexplore.ieee.org/document/1421575/
- Automated red-eye detection and correction in digital photographs Abstract: Caused by light reflected off the subject's retina, red-eye is a troublesome problem in consumer photography. Although most of the cameras have the red-eye reduction mode, the result reality is that no on-camera system is completely effective.
H.: Automated red-eye detection and correction in digital …
- https://www.researchgate.net/publication/4138196_H_Automated_red-eye_detection_and_correction_in_digital_photographs
- In this paper, we propose a fully automatic approach to detecting and correcting red-eyes in digital images. In order to detect red-eyes in a picture, a heuristic yet efficient algorithm is first...
AUTOMATED RED-EYE DETECTION AND CORRECTION IN …
- https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.73.1968
- In this paper, we propose a fully automatic approach to detecting and correcting red-eyes in digital images. In order to detect red-eyes in a picture, a heuristic yet efficient algorithm is first adopted to detect a group of candidate red regions, and then an eye classifier is utilized to confirm whether each candidate region is a human eye.
Automated red-eye detection and correction in digital …
- https://www.sciencegate.app/document/10.1109/icip.2004.1421575
- Automated red-eye detection and correction in digital photographs 2004 International Conference on Image Processing, 2004. ... 10.1109/icip.2004.1421575
Automatic Redeye Correction in Digital Photos
- https://www.researchgate.net/publication/263509966_Automatic_Redeye_Correction_in_Digital_Photos
- A methods to correct the artifact known as "red eye" is proposed by means of digital color image processing and classification procedure. First, skin like regions is detected with a pixel-based...
Automatic Redeye Correction in Digital Photos
- https://www.academia.edu/49975472/Automatic_Redeye_Correction_in_Digital_Photos
- Automatic Redeye Correction in Digital Photos. International Journal of Computer Applications, 2014. Navid Razmjooy. Download Download PDF. Full PDF Package Download Full PDF Package. This Paper. A short summary of this paper. 37 Full PDFs related to this paper.
Automated red-eye detection and correction in digital …
- https://researchr.org/publication/ZhangSLZ04
- Automated red-eye detection and correction in digital photographs. Lei Zhang, Yanfeng Sun, Mingjing Li, HongJiang Zhang. Automated red-eye detection and correction in digital photographs. In ICIP. pages 2363-2366, 2004.
Automatic Redeye Correction in Digital Photos
- https://www.ijcaonline.org/archives/volume95/number9/16621-6473?tmpl=component&layout=default
- Article: Automatic Redeye Correction in Digital Photos. International Journal of Computer Applications 95(9):9-17, June 2014. Full text available. ... P. Benati, R. Gray, and P. Cosgrove, "Automated detection and correction of eye color defects due to flash illumination," US Patent 5432863, July 1995. ... "Digital red eye removal," Journal of ...
2004 International Conference on Image Processing ( U …
- https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.523.4196
- In this paper, we propose a fully automatic approach to detecting and correcting red-eyes in digital images. In order to detect red-eyes in a picture, a heuristic yet efficient algorithm is first adopted to detect a group of candidate red regions, and then an eye classifier is utilized to confirm whether each candidate region is a human eye.
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