The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 17, 2023

Filed:

Sep. 23, 2021
Applicant:

Korea Advanced Institute of Science and Technology, Daejeon, KR;

Inventors:

Mun Churl Kim, Daejeon, KR;

Soo Ye Kim, Daejeon, KR;

Dae Eun Kim, Daejeon, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/00 (2006.01); G06F 17/11 (2006.01); G06N 3/02 (2006.01); G06N 3/08 (2023.01); G06T 5/50 (2006.01);
U.S. Cl.
CPC ...
G06T 5/009 (2013.01); G06F 17/11 (2013.01); G06N 3/02 (2013.01); G06N 3/08 (2013.01); G06T 5/50 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20208 (2013.01);
Abstract

In this invention, we propose a convolutional neural network (CNN) based architecture designed for the ITM to HDR consumer displays, called ITM-CNN, and its training strategy for enhancing the performance based on image decomposition using the guided filter. We demonstrate the benefits of decomposing the image by experimenting with various architectures and also compare the performance for different training strategies. To the best of our knowledge, this invention first presents the ITM problem using CNNs for HDR consumer displays, where the network is trained to restore lost details and local contrast. Our ITM-CNN can readily up-convert LDR images for direct viewing on an HDR consumer medium, and is a very powerful means to solve the lack of HDR video contents with legacy LDR videos.


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