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:
Dec. 15, 2020

Filed:

Mar. 25, 2018
Applicant:

Cree, Inc., Durham, NC (US);

Inventors:

John Roberts, Durham, NC (US);

Robert Bowser, Cary, NC (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 5/374 (2011.01); H04N 5/372 (2011.01); H04N 5/369 (2011.01); H04N 5/3745 (2011.01); G05B 15/02 (2006.01); H04N 5/378 (2011.01); G01J 1/44 (2006.01);
U.S. Cl.
CPC ...
H04N 5/37455 (2013.01); G01J 1/44 (2013.01); G05B 15/02 (2013.01); H04N 5/378 (2013.01); H04N 5/3742 (2013.01); H04N 5/37213 (2013.01);
Abstract

A distributed, parallel, image capture and processing architecture provides significant advantages over prior art systems. A very large array of computational 0 in some embodiments, matching the size of the pixel array—is distributed around, within, or beneath the pixel array of an image sensor. Each computational circuit is dedicated to, and in some embodiments is physically proximal to, one, two, or more associated pixels. Each computational circuit is operative to perform computations on one, two, or more pixel values generated by its associated pixels. The computational circuits all perform the same operation(s), in parallel. In this manner, a very large number of pixel-level operations are performed in parallel, physically and electrically near the pixels. This obviates the need to transfer very large amounts of pixel data from a pixel array to a CPU/memory, for at least many pixel-level image processing operations, thus alleviating the significant high-speed performance constraints placed on modern image sensors.


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