Samsung electronics co., ltd. (20240265492). ELECTRONIC DEVICE, CONTROL METHOD THEREOF, AND SYSTEM simplified abstract

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ELECTRONIC DEVICE, CONTROL METHOD THEREOF, AND SYSTEM

Organization Name

samsung electronics co., ltd.

Inventor(s)

Sangkwon Na of Suwon-si (KR)

Wooseok Kang of Suwon-si (KR)

Minho Kim of Suwon-si (KR)

ELECTRONIC DEVICE, CONTROL METHOD THEREOF, AND SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240265492 titled 'ELECTRONIC DEVICE, CONTROL METHOD THEREOF, AND SYSTEM

Simplified Explanation: The patent application describes an electronic device that uses artificial intelligence to upscale images based on pre-processed information.

Key Features and Innovation:

  • Memory with instructions and a processor to control the device.
  • Obtains output image by upscaling input image using AI model.
  • Processor obtains parameter information of AI model based on pre-processing information.
  • Upscales input image using corresponding AI model.

Potential Applications: This technology can be used in image processing, video enhancement, and improving the quality of visual content.

Problems Solved: This technology addresses the need for efficient image upscaling and enhancement using artificial intelligence models.

Benefits:

  • Improved image quality and resolution.
  • Enhanced visual content for various applications.
  • Efficient processing of images using AI technology.

Commercial Applications: The technology can be applied in industries such as entertainment, photography, and video production for enhancing visual content and improving overall quality.

Prior Art: Readers can explore prior art related to image upscaling, AI models for image processing, and electronic devices with memory and processors.

Frequently Updated Research: Stay updated on advancements in AI image upscaling models, image processing algorithms, and applications of AI in visual content enhancement.

Questions about Image Upscaling: 1. How does the pre-processing of input images impact the upscaling process? 2. What are the potential limitations of using AI models for image upscaling?


Original Abstract Submitted

an example electronic device may include a memory configured to include at least one instruction; and a processor configured to be connected to the memory to control the electronic device, and obtain an output image by upscaling an input image using an artificial intelligence model trained to upscale an image, wherein the processor is configured to control the electronic device to: obtain parameter information of the artificial intelligence model based on pre-processing related information performed on the input image, and upscale the input image using the artificial intelligence model corresponding to the obtained parameter information.