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US Patent 11412175 Super-resolution method and device using linewise operation

Patent 11412175 was granted and assigned to Korea Advanced Institute of Science and Technology on August, 2022 by the United States Patent and Trademark Office.

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TimelineTable: Further ResourcesReferences
Is a
Patent
Patent
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Patent attributes

Patent Applicant
Korea Advanced Institute of Science and Technology
Korea Advanced Institute of Science and Technology
1
Current Assignee
Korea Advanced Institute of Science and Technology
Korea Advanced Institute of Science and Technology
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
114121751
Patent Inventor Names
Jae Seok Choi1
Mun Churl Kim1
Yong Woo Kim1
Date of Patent
August 9, 2022
1
Patent Application Number
169616881
Date Filed
December 12, 2018
1
Patent Citations
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US Patent 10521696 Convolutional neural network system and operation method thereof
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US Patent 10614354 Method and apparatus for implementing layers on a convolutional neural network accelerator
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US Patent 10664310 Memory access optimisation using per-layer computational mapping and memory allocation for CNN application
1
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US Patent 10824939 Device for implementing artificial neural network with flexible buffer pool structure
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US Patent 10726583 System and method of encoding and decoding feature maps and weights for a convolutional neural network
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US Patent 10909418 Neural network method and apparatus
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US Patent 10936907 Training a deep learning system for maritime applications
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US Patent 11057585 Image processing method and device using line input and output
1
...
Patent Primary Examiner
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Amir Alavi
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CPC Code
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G06T 3/4007
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G06T 1/20
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G06T 5/20
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G06T 5/001
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G06T 5/004
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H04N 7/0117
1
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H04N 19/124
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G06N 3/04
1
...

An image processing method and apparatus using a line unit operation is disclosed. The image processing apparatus includes a receiver configured to receive an image, at least one first line buffer configured to output the received image to be an image line of a line unit, a first convolution operator configured to generate a feature map by performing a convolution operation based on the output image line, and a feature map processor configured to store the generated feature map as at least one line unit and process the feature map stored as the line unit to be output in a two-dimensional (2D) or higher dimensional form.

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