View source for 18411445. IMAGE RESTORATION FOR THROUGH-DISPLAY IMAGING simplified abstract (Microsoft Technology Licensing, LLC)

=IMAGE RESTORATION FOR THROUGH-DISPLAY IMAGING=


==Organization Name==

[[:Category:Microsoft Technology Licensing, LLC|Microsoft Technology Licensing, LLC]]


[[Category:Microsoft Technology Licensing, LLC]]

==Inventor(s)==

[[:Category:Yuqian Zhou of Urbana IL (US)|Yuqian Zhou of Urbana IL (US)]][[Category:Yuqian Zhou of Urbana IL (US)]]

[[:Category:Timothy Andrew Large of Bellevue WA (US)|Timothy Andrew Large of Bellevue WA (US)]][[Category:Timothy Andrew Large of Bellevue WA (US)]]

[[:Category:Se Hoon Lim of Bellevue WA (US)|Se Hoon Lim of Bellevue WA (US)]][[Category:Se Hoon Lim of Bellevue WA (US)]]

[[:Category:Neil Emerton of Redmond WA (US)|Neil Emerton of Redmond WA (US)]][[Category:Neil Emerton of Redmond WA (US)]]

[[:Category:Yonghuan David Ren of El Cerrito CA (US)|Yonghuan David Ren of El Cerrito CA (US)]][[Category:Yonghuan David Ren of El Cerrito CA (US)]]

==IMAGE RESTORATION FOR THROUGH-DISPLAY IMAGING - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18411445 titled 'IMAGE RESTORATION FOR THROUGH-DISPLAY IMAGING

==Simplified Explanation==

The patent application relates to restoring degraded images acquired via a behind-display camera using machine learning models.

* Training method:
  - Input training image pairs into the machine learning model.
  - Each pair includes an undegraded image and a degraded image.
  - Train the model to generate missing frequency information from the degraded images.

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### Potential Applications of this Technology
- Image restoration in surveillance systems
- Enhancing image quality in medical imaging

### Problems Solved by this Technology
- Restoring degraded images for better analysis
- Improving image quality for accurate identification

### Benefits of this Technology
- Enhanced image quality for various applications
- Efficient restoration process using machine learning

### Potential Commercial Applications of this Technology
#### Enhanced Image Restoration for Surveillance Systems

### Possible Prior Art
No prior art is known at this time.

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## Unanswered Questions

### How does this technology handle different types of image degradation?
The patent application does not specify how the machine learning model adapts to various forms of image degradation.

### What is the computational cost of training the machine learning model?
The patent application does not mention the computational resources required for training the model.


==Original Abstract Submitted==

Examples are disclosed that relate to the restoration of degraded images acquired via a behind-display camera. One example provides a method of training a machine learning model, the method comprising inputting training image pairs into the machine learning model, each training image pair comprising an undegraded image and a degraded image that represents an appearance of the undegraded image to a behind-display camera, and training the machine learning model using the training image pairs to generate frequency information that is missing from the degraded images.



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