18150889. IMAGE PROCESSING USING NEURAL NETWORKS, WITH IMAGE REGISTRATION simplified abstract (NVIDIA Corporation)

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IMAGE PROCESSING USING NEURAL NETWORKS, WITH IMAGE REGISTRATION

Organization Name

NVIDIA Corporation

Inventor(s)

Kenneth Turkowski of Menlo Park CA (US)

IMAGE PROCESSING USING NEURAL NETWORKS, WITH IMAGE REGISTRATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18150889 titled 'IMAGE PROCESSING USING NEURAL NETWORKS, WITH IMAGE REGISTRATION

Simplified Explanation: The patent application discusses systems and methods for registering modified portions of images with reference images for image generation and content stream applications.

  • **Key Features and Innovation:**
   * Registering modified image portions with reference images.
   * Transforming modified portions to merge back into reference images realistically.
   * Incorporating content or features into images.
  • **Potential Applications:**
   * Image processing for content stream applications.
   * Image generation for various industries such as entertainment, advertising, and gaming.
  • **Problems Solved:**
   * Ensuring precise registration of modified image portions.
   * Enhancing the realism of merged images.
   * Facilitating the incorporation of content into images seamlessly.
  • **Benefits:**
   * Improved visual quality in content stream applications.
   * Enhanced user experience in image generation processes.
   * Streamlined workflow for incorporating content into images.
  • **Commercial Applications:**
   * "Enhanced Image Processing and Registration for Content Stream Applications"
   * This technology can be utilized in industries such as digital marketing, virtual reality, and graphic design to enhance image processing and content integration.
  • **Questions about Image Processing and Registration:**
   * **How does this technology improve the accuracy of registering modified image portions with reference images?**
       - This technology utilizes advanced algorithms to precisely align modified image portions with reference images, ensuring seamless integration.
   * **What are the potential challenges in implementing this system for image generation in real-time applications?**
       - Real-time image generation may require high computational power and efficient processing to ensure smooth integration of modified image portions.


Original Abstract Submitted

In various examples, systems and methods are disclosed relating to registering image processing with image registration for image generation and content stream applications. Systems and methods are disclosed for registering portions of images that are modified to incorporate content or features, with references images from which the portions of the images are identified. The systems and methods can transform the modified portions to more realistically and precisely merge back into the reference images, such as for presentation as a content stream.

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