18463179. SYSTEMS AND METHODS FOR FUSING IMAGES simplified abstract (QUALCOMM Incorporated)

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SYSTEMS AND METHODS FOR FUSING IMAGES

Organization Name

QUALCOMM Incorporated

Inventor(s)

James Wilson Nash of San Diego CA (US)

Kalin Mitkov Atanassov of San Diego CA (US)

Sergiu Radu Goma of Sedona AZ (US)

SYSTEMS AND METHODS FOR FUSING IMAGES - A simplified explanation of the abstract

This abstract first appeared for US patent application 18463179 titled 'SYSTEMS AND METHODS FOR FUSING IMAGES

Simplified Explanation

The patent application describes a method performed by an electronic device to obtain and fuse images from multiple cameras.

  • The method involves obtaining a first image from a first camera with a specific focal length and field of view.
  • It also involves obtaining a second image from a second camera with a different focal length and field of view, which is within the first camera's field of view.
  • The method aligns portions of the first and second images to produce aligned images.
  • These aligned images are then fused together using a diffusion kernel, which indicates a threshold level over a gray level range.
  • The fused image is then outputted.
  • This method can be performed for each frame of a video feed.

Potential applications of this technology:

  • Surveillance systems: The method can be used to combine images from different cameras to provide a wider and more comprehensive view of a scene.
  • Virtual reality: By fusing images from multiple cameras, a more immersive and realistic virtual reality experience can be created.
  • Autonomous vehicles: The method can be used to combine images from different cameras on a vehicle to enhance object detection and improve situational awareness.

Problems solved by this technology:

  • Limited field of view: By combining images from multiple cameras, the method overcomes the limitation of a single camera's field of view, providing a wider perspective.
  • Image misalignment: The method aligns images from different cameras, ensuring that corresponding objects in the scene are properly fused together.
  • Image quality: The fusion process using the diffusion kernel helps to improve the overall image quality by reducing noise and enhancing details.

Benefits of this technology:

  • Enhanced visual information: By fusing images from multiple cameras, a more comprehensive and detailed view of a scene can be obtained.
  • Improved accuracy: The alignment and fusion process ensures that objects in the scene are accurately represented in the fused image.
  • Better image quality: The diffusion kernel helps to enhance the overall image quality by reducing noise and improving contrast.


Original Abstract Submitted

A method performed by an electronic device is described. The method includes obtaining a first image from a first camera, the first camera having a first focal length and a first field of view. The method also includes obtaining a second image from a second camera, the second camera having a second focal length and a second field of view disposed within the first field of view. The method further includes aligning at least a portion of the first image and at least a portion of the second image to produce aligned images. The method additionally includes fusing the aligned images based on a diffusion kernel to produce a fused image. The diffusion kernel indicates a threshold level over a gray level range. The method also includes outputting the fused image. The method may be performed for each of a plurality of frames of a video feed.

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