View source for 18485572. APPARATUS AND METHOD WITH ARTIFICIAL INTELLIGENCE FOR SCALING IMAGE DATA simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)

=APPARATUS AND METHOD WITH ARTIFICIAL INTELLIGENCE FOR SCALING IMAGE DATA=


==Organization Name==

[[:Category:SAMSUNG ELECTRONICS CO., LTD.|SAMSUNG ELECTRONICS CO., LTD.]]


[[Category:SAMSUNG ELECTRONICS CO., LTD.]]

==Inventor(s)==

[[:Category:Taejun Park of Suwon-si (KR)|Taejun Park of Suwon-si (KR)]][[Category:Taejun Park of Suwon-si (KR)]]

[[:Category:Sangjo Lee of Suwon-si (KR)|Sangjo Lee of Suwon-si (KR)]][[Category:Sangjo Lee of Suwon-si (KR)]]

[[:Category:Sangkwon Na of Suwon-si (KR)|Sangkwon Na of Suwon-si (KR)]][[Category:Sangkwon Na of Suwon-si (KR)]]

==APPARATUS AND METHOD WITH ARTIFICIAL INTELLIGENCE FOR SCALING IMAGE DATA - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18485572 titled 'APPARATUS AND METHOD WITH ARTIFICIAL INTELLIGENCE FOR SCALING IMAGE DATA

==Simplified Explanation==

The disclosed patent application is about an artificial intelligence (AI) system that utilizes a machine learning algorithm to upscale image data. The system receives image data and associated information about a filter set from an external server. It decodes the image data and applies a first AI model based on the filter set information to upscale the decoded image data. The upscaled image data is then provided for output.

* The patent application describes a method for controlling an electronic apparatus to upscale image data using an AI model.
* The image data and information about a filter set are received from an external server.
* The image data is decoded and then upscaled using a first AI model obtained based on the filter set information.
* The upscaled image data is then outputted.

Potential applications of this technology:

* Enhancing image quality: The AI system can be used to upscale low-resolution images, improving their quality and making them suitable for various applications such as printing, video streaming, or digital displays.
* Video upscaling: The technology can be applied to upscale video frames, improving the visual experience of viewers by enhancing the resolution and details of the video content.
* Medical imaging: The AI system can be utilized to enhance the resolution and clarity of medical images, aiding in accurate diagnosis and treatment planning.

Problems solved by this technology:

* Low-resolution image limitations: The technology addresses the issue of low-resolution images by using AI models to upscale the image data, improving the visual quality and usability of the images.
* Resource-intensive upscaling: Traditional upscaling methods can be computationally expensive and time-consuming. This technology provides a more efficient and automated approach to upscaling images using AI models.

Benefits of this technology:

* Improved image quality: The AI system enhances the resolution and details of images, resulting in improved visual quality and clarity.
* Time and cost savings: The automated upscaling process reduces the need for manual intervention, saving time and resources.
* Versatile application: The technology can be applied to various types of image data, making it suitable for a wide range of industries such as entertainment, healthcare, and photography.


==Original Abstract Submitted==

The disclosure relates to an artificial intelligence (AI) system that uses a machine learning algorithm and an application thereof. A method for controlling an electronic apparatus according to the disclosure includes receiving image data and information associated with a filter set that is applied to an artificial intelligence model for upscaling the image data from an external server; decoding the image data; upscaling the decoded image data using a first artificial intelligence model that is obtained based on the information associated with the filter set; and providing the upscaled image data for output.



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