Samsung electronics co., ltd. (20240161230). METHOD AND APPARATUS FOR PROCESSING IMAGE BASED ON NEURAL NETWORK simplified abstract

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METHOD AND APPARATUS FOR PROCESSING IMAGE BASED ON NEURAL NETWORK

Organization Name

samsung electronics co., ltd.

Inventor(s)

Kinam Kwon of Suwon-si (KR)

Heewon Kim of Seoul (KR)

Kyoung Mu Lee of Seoul (KR)

Hyong Euk Lee of Suwon-si (KR)

METHOD AND APPARATUS FOR PROCESSING IMAGE BASED ON NEURAL NETWORK - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240161230 titled 'METHOD AND APPARATUS FOR PROCESSING IMAGE BASED ON NEURAL NETWORK

Simplified Explanation

The abstract describes a neural network-based image processing method and apparatus that involves receiving an input image with a certain resolution and estimating a preview image of the input image with a lower resolution using a neural network model.

  • Neural network-based image processing method and apparatus:
   * Receives an input image with a first resolution
   * Estimates a preview image of the input image with a second resolution lower than the first resolution using a neural network model

Potential Applications

This technology could be applied in various fields such as:

  • Image compression
  • Image enhancement
  • Image recognition

Problems Solved

This technology helps in addressing the following issues:

  • Efficient image processing with reduced resolution
  • Faster image preview generation

Benefits

The benefits of this technology include:

  • Improved image processing speed
  • Enhanced image quality
  • Reduced computational resources required

Potential Commercial Applications

The potential commercial applications of this technology could be seen in:

  • Photography software
  • Medical imaging devices
  • Security systems

Possible Prior Art

One possible prior art could be the use of traditional image processing techniques for generating preview images with lower resolutions.

What are the limitations of this technology in real-world applications?

The limitations of this technology in real-world applications could include:

  • Limited accuracy in estimating preview images
  • Dependency on the quality of the neural network model

How does this technology compare to existing image processing methods?

This technology offers advantages such as:

  • Faster processing speed
  • Enhanced image quality
  • Reduced computational resources required


Original Abstract Submitted

a neural network-based image processing method and apparatus are provided. the method includes receiving an input image having a first resolution, and estimating a preview image of the input image having a second resolution that is lower than the first resolution by using a neural network model.