18484979. IMAGE ACQUISITION DEVICE AND METHOD OF CONTROLLING THE SAME simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)

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IMAGE ACQUISITION DEVICE AND METHOD OF CONTROLLING THE SAME

Organization Name

SAMSUNG ELECTRONICS CO., LTD.

Inventor(s)

Jaeho Jung of Suwon-si (KR)

Yeultak Sung of Suwon-si (KR)

IMAGE ACQUISITION DEVICE AND METHOD OF CONTROLLING THE SAME - A simplified explanation of the abstract

This abstract first appeared for US patent application 18484979 titled 'IMAGE ACQUISITION DEVICE AND METHOD OF CONTROLLING THE SAME

Simplified Explanation

The abstract describes an artificial intelligence (AI) system that uses a machine learning algorithm, such as deep learning, to mimic human brain functions like recognition and determination. The system includes an image acquisition device with a camera that captures a first image, where a part of the main object is hidden by a sub-object. The system also has processors that input the first image to a first AI neural network, which detects data corresponding to the main object and the sub-object. The sub-object is then removed from the first image, and a second AI neural network generates a second image by restoring the hidden part of the main object using the AI neural network.

  • The AI system mimics human brain functions using a machine learning algorithm.
  • An image acquisition device captures an image where a part of the main object is hidden.
  • The first AI neural network detects data corresponding to the main object and the sub-object in the image.
  • The sub-object is removed from the image.
  • The second AI neural network generates a new image by restoring the hidden part of the main object.

Potential applications of this technology:

  • Object recognition and determination in images.
  • Image restoration and enhancement.
  • Removing unwanted objects or obstructions from images.

Problems solved by this technology:

  • The system can detect and separate the main object from a hidden sub-object in an image.
  • It can restore the hidden part of the main object, providing a clearer image.

Benefits of this technology:

  • Improved image quality and clarity.
  • Enhanced object recognition and determination.
  • Removal of unwanted objects or obstructions from images.


Original Abstract Submitted

Provided is an artificial intelligence (AI) system that mimics functions, such as recognition and determination by human brains, by utilizing a machine learning algorithm, such as deep learning, and applications of the AI system. An image acquisition device is disclosed including a camera configured to acquire a first image, wherein a portion of a main object is hidden from the camera by a sub-object; at least one processor configured to input the first image to a first AI neural network; detect, by the first AI neural network from data corresponding to a plurality of objects included in the first image, first data corresponding to the main object and second data corresponding to the sub-object from the first image by inputting the first image to an AI neural network, remove the sub-object from the first image, and generate, using a second AI neural network, a second image by restoring third data corresponding to at least a portion of the main object hidden by the removed sub-object by using the AI neural network, wherein the third data replaces the second data; and a display configured to display at least one of the first image and the second image.