17382658. MOTION COMPENSATION FOR NEURAL NETWORK ENHANCED IMAGES simplified abstract (QUALCOMM Incorporated)

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MOTION COMPENSATION FOR NEURAL NETWORK ENHANCED IMAGES

Organization Name

QUALCOMM Incorporated

Inventor(s)

Alireza Shoa Hassani Lashdan of Burlington (CA)

Stone Yun of Markham (CA)

Darren Gnanapragasam of Aurora (CA)

MOTION COMPENSATION FOR NEURAL NETWORK ENHANCED IMAGES - A simplified explanation of the abstract

This abstract first appeared for US patent application 17382658 titled 'MOTION COMPENSATION FOR NEURAL NETWORK ENHANCED IMAGES

Simplified Explanation

The patent application describes a device that applies a neural network to enhance an image and then adjusts the high-frequency components of the enhanced image based on motion compensation. The adjusted high-frequency components are combined with the low-frequency components to generate a final enhanced image.

  • The device includes a memory and one or more processors.
  • The memory stores instructions for the device.
  • The processors execute the instructions to apply a neural network to a first image.
  • The neural network enhances the first image to generate an enhanced image.
  • The processors also adjust at least a portion of the high-frequency component of the enhanced image based on motion compensation.
  • The adjusted high-frequency image component is generated.
  • The processors combine the low-frequency component of the enhanced image and the adjusted high-frequency image component.
  • The combination results in an adjusted enhanced image.

Potential Applications

  • Image enhancement in photography and video editing.
  • Medical imaging to improve the clarity of diagnostic images.
  • Surveillance systems to enhance the quality of captured footage.
  • Enhancing satellite imagery for better analysis and interpretation.

Problems Solved

  • Enhancing images using a neural network to improve their quality.
  • Addressing the issue of motion blur or distortion in the high-frequency components of the enhanced image.
  • Combining the adjusted high-frequency components with the low-frequency components to create a visually pleasing and accurate enhanced image.

Benefits

  • Improved image quality and clarity.
  • Reduction of motion blur or distortion in enhanced images.
  • More accurate representation of details in the final enhanced image.
  • Enhanced images can be used for various applications, such as photography, medical imaging, surveillance, and satellite imagery analysis.


Original Abstract Submitted

A device includes a memory and one or more processors. The memory is configured to store instructions. The one or more processors are configured to execute the instructions to apply a neural network to a first image to generate an enhanced image. The one or more processors are also configured to execute the instructions to adjust at least a portion of a high-frequency component of the enhanced image based on a motion compensation operation to generate an adjusted high-frequency image component. The one or more processors are further configured to execute the instructions to combine a low-frequency component of the enhanced image and the adjusted high-frequency image component to generate an adjusted enhanced image.

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