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.
Patent No.:
Date of Patent:
Jul. 05, 2022
Filed:
Dec. 12, 2019
Applicant:
Intel Corporation, Santa Clara, CA (US);
Inventors:
Alexey Supikov, Santa Clara, CA (US);
Qiong Huang, San Jose, CA (US);
Ronald T. Azuma, San Jose, CA (US);
Assignee:
Intel Corporation, Santa Clara, CA (US);
Primary Examiner:
Int. Cl.
CPC ...
G03H 1/08 (2006.01); G03H 1/04 (2006.01); G06T 9/00 (2006.01); G06N 3/02 (2006.01); G06T 1/20 (2006.01); G06T 7/00 (2017.01); G06T 19/00 (2011.01); G06N 3/067 (2006.01); G06T 7/66 (2017.01);
U.S. Cl.
CPC ...
G03H 1/0808 (2013.01); G03H 1/0402 (2013.01); G03H 1/0486 (2013.01); G06N 3/02 (2013.01); G06N 3/067 (2013.01); G06T 1/20 (2013.01); G06T 7/0002 (2013.01); G06T 7/66 (2017.01); G06T 9/002 (2013.01); G06T 19/006 (2013.01); G03H 2001/0428 (2013.01); G03H 2001/0816 (2013.01);
Abstract
Techniques related to generating holographic images are discussed. Such techniques include application of a pre-trained deep neural network to a target holographic image to generate a feedback strength value for error feedback in an iterative propagation feedback model and generating a diffraction pattern image corresponding to the target holographic image by applying the iterative propagation feedback model based on the target holographic image and using the feedback strength value.