18235663. Correcting Images Degraded By Signal Corruption simplified abstract (Samsung Electronics Co., Ltd.)
Contents
Correcting Images Degraded By Signal Corruption
Organization Name
Inventor(s)
Musa Maharramov of The Woodlands TX (US)
Brian Patton of San Francisco CA (US)
Correcting Images Degraded By Signal Corruption - A simplified explanation of the abstract
This abstract first appeared for US patent application 18235663 titled 'Correcting Images Degraded By Signal Corruption
Simplified Explanation
The abstract describes a method for correcting corrupted images captured by a camera by estimating the true image of the scene, the corruption operator, and uncertainty metrics.
- Accessing a corrupted image, estimated true image, estimated corruption operator, and uncertainty metrics
- Generating a predicted corrupted image by applying a corruption operation to the estimated true image
- Determining the difference between the predicted and actual corrupted images
- Determining a likelihood distribution for the corruption operator based on uncertainty metrics
- Updating the estimated corruption operator based on the likelihood distribution and the difference between predicted and actual images
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- Potential Applications
- Image processing and correction in photography
- Surveillance systems for improving image quality
- Medical imaging for enhancing diagnostic accuracy
- Problems Solved
- Correcting corrupted images captured by cameras
- Improving image quality in various applications
- Enhancing the accuracy of image analysis and interpretation
- Benefits
- Improved image quality and accuracy
- Enhanced performance of image processing algorithms
- Increased reliability of image-based systems
Original Abstract Submitted
In one embodiment, a method includes accessing (1) a corrupted image of a scene captured by a camera, (2) an estimated true image of the scene, (3) an estimated corruption operator f for the camera, and (4) one or more uncertainty metrics for f. The method further includes generating, by applying a corruption operation to the estimated true image and the corruption operator f, a predicted corrupted image of the scene captured by the camera and determining a difference between the predicted corrupted image and the corrupted image captured by the camera. The method further includes determining, based on the one or more uncertainty metrics for f, a likelihood distribution for the corruption operator f, and updating, based on the likelihood distribution for the corruption operator f and on the determined difference between the predicted corrupted image and the corrupted image captured by the camera, the estimated corruption operator f.
