Apparatus and method with artificial intelligence for scaling image data
AssigneeSamsung Electronics Co., Ltd.
InventorsTaejun Park, Sangjo Lee, Sangkwon Na
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Abstract
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.
Claims16
A server comprising:
- a memory;
- and
- a processor configured to:
- obtain downscaled image data by downscaling original image data;
- based on a multi-artificial intelligence (AI) filter option being turned on, obtain a plurality of upscaled image data by respectively inputting the downscaled image data into a plurality of artificial intelligence (AI) upscaling models stored in the memory, identify a filter index among a plurality of filter indexes of the plurality of AI upscaling models by comparing the original image data and each of the plurality of upscaled image data, and encode the downscaled image data based on the identified filter index, the identified filter index being a filter index of an AI upscaling model among the plurality of AI upscaling models;
- and
- based on the multi-AI filter option not being turned on, encode the downscaled image data based on a value indicating that no filter index is used.
A method for controlling a server, the method comprising:
- obtaining downscaled image data by downscaling original image data;
- based on a multi-artificial intelligence (AI) filter option being turned on, obtaining a plurality of upscaled image data by respectively inputting the downscaled image data into a plurality of artificial intelligence (AI) upscaling models;, identifying a filter index among a plurality of filter indexes of the plurality of AI upscaling models by comparing the original image data and each of the plurality of upscaled image data, and encoding the downscaled image data based on the identified filter index, the identified filter index being a filter index of an AI upscaling model among the plurality of AI upscaling models;
- and
- based on the multi-AI filter option not being turned on, encoding the downscaled image data based on a value indicating that no filter index is used.
Dependencies are inferred from the claim text.