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:
Aug. 18, 2020

Filed:

Oct. 19, 2018
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

Hasib Siddiqui, San Diego, CA (US);

Kalin Atanassov, San Diego, CA (US);

Magdi Mohamed, San Diego, CA (US);

Assignee:

Qualcomm Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 9/04 (2006.01); G06T 5/20 (2006.01); H04N 9/64 (2006.01); G06T 5/00 (2006.01);
U.S. Cl.
CPC ...
H04N 9/04515 (2018.08); G06T 5/20 (2013.01); H04N 9/04551 (2018.08); H04N 9/646 (2013.01); G06T 5/002 (2013.01); G06T 5/003 (2013.01); G06T 5/006 (2013.01); G06T 2207/20024 (2013.01); G06T 2207/20084 (2013.01); H04N 2209/046 (2013.01);
Abstract

A device (e.g., an image sensor, camera, etc.) may identify a camera lens and color filter array (CFA) sensor used to capture an image, and may determine filter parameters (e.g., a convolutional operator) based on the identified camera lens and CFA sensor. For example, a set of kernels (e.g., including a set of horizontal filters and a set of vertical filters) may be determined based on properties of a given lens and/or q-channel CFA sensor. Each kernel or filter may correspond to a row of a convolutional operator (e.g., of a restoration bit matrix) used by an image signal processor (ISP) of the device for non-linear filtering of the captured image. The corresponding outputs from the horizontal and vertical filters (e.g., two outputs of the horizontal and vertical filters corresponding to an input channel associated with the CFA sensor) may then be combined using a non-linear classification operation.


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