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Electronic apparatus and control method thereof

一种电子装置、存储装置的技术，应用在神经学习方法、电气元件、仪器等方向，能够解决不是非常有效等问题

Active Publication Date: 2020-10-30
SAMSUNG ELECTRONICS CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This process is effective at removing blockiness and ringing that occurs individually for each frame, but has the problem that it is not very effective at removing flickering that occurs due to correlation between frames

Method used

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  • Electronic apparatus and control method thereof
  • Electronic apparatus and control method thereof
  • Electronic apparatus and control method thereof

Examples

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Embodiment Construction

[0045] Various modifications may be made to the various example embodiments of the present disclosure. Specific example embodiments are illustrated in the drawings and described in detail in the detailed description. It should be understood, however, that the present disclosure is not limited to any particular example embodiment, but includes all modifications, equivalents, and substitutions without departing from the scope and spirit of the present disclosure. Also, well-known functions or constructions may not be described in detail where they would obscure the disclosure with unnecessary detail.

[0046] Hereinafter, various example embodiments of the present disclosure will be described in more detail with reference to the accompanying drawings.

[0047] FIG. 1A is a block diagram showing an example configuration of an electronic device (100) according to an embodiment of the present disclosure. As shown in FIG. 1A, the electronic device (100) includes a memory device (1...

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PUM

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Abstract

An electronic apparatus is provided. The electronic apparatus includes a storage configured to store a compression rate network model configured to determine a compression rate applied to an image block from among a plurality of compression rates, and a plurality of compression noise removing network models configured to remove compression noise for each of the plurality of compression rates. Thecompression rate network model can be obtained by learning image characteristics of a plurality of restored image blocks corresponding to each of the plurality of compression rates through a first artificial intelligence algorithm.

Description

technical field [0001] The present disclosure relates to an electronic device and a control method thereof, and, for example, an electronic device that performs image processing and a control method thereof. [0002] The present disclosure also relates to artificial intelligence (AI) systems and applications thereof that use machine learning algorithms to simulate functions of the human brain, such as cognition and determination. Background technique [0003] Recently, artificial intelligence systems that realize human-level intelligence are used in various fields. Unlike traditional rule-based intelligent systems, AI systems are systems in which machines automatically learn, determine, and become smarter. As the artificial intelligence system is used more, it shows a more improved recognition rate and becomes able to understand user preferences more correctly. For this reason, traditional rule-based intelligent systems are gradually being replaced by deep learning-based a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/85H04N19/164H04N19/176H04N19/119G06N20/00G06N3/08G06V10/30G06V10/764
CPCH04N19/176H04N19/86H04N19/146H04N19/117H04N19/14H04N19/182H04N19/186G06V10/30G06V10/454G06V10/82G06V10/764G06N3/044G06N3/045G06F18/2413H04N19/85H04N19/164H04N19/119G06N20/00G06N3/08G06N3/02H04N19/137
Inventor 李炫承金东炫文永秀安泰庆金胤植朴宰佑苏载雄赵南翊安秉龙
Owner SAMSUNG ELECTRONICS CO LTD