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. 28, 2014

Filed:

May. 31, 2012
Applicants:

Guy Cote, San Jose, CA (US);

Sheng Lin, Sunnyvale, CA (US);

Suk Hwan Lim, Mountain View, CA (US);

D. Amnon Silverstein, Palo Alto, CA (US);

David Hayward, Los Altos, CA (US);

Simon Wolfenden Butler, San Rafael, CA (US);

Joseph Anthony Petolino, Jr., Palo Alto, CA (US);

Joseph P. Bratt, San Jose, CA (US);

Inventors:

Guy Cote, San Jose, CA (US);

Sheng Lin, Sunnyvale, CA (US);

Suk Hwan Lim, Mountain View, CA (US);

D. Amnon Silverstein, Palo Alto, CA (US);

David Hayward, Los Altos, CA (US);

Simon Wolfenden Butler, San Rafael, CA (US);

Joseph Anthony Petolino, Jr., Palo Alto, CA (US);

Joseph P. Bratt, San Jose, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 5/217 (2011.01);
U.S. Cl.
CPC ...
Abstract

Systems and methods for processing raw image data are provided. One example of such a system may include memory to store image data in raw format from a digital imaging device and an image signal processor to process the image data. The image signal processor may include data conversion logic and a raw image processing pipeline. The data conversion logic may convert the image data into a signed format to preserve negative noise from the digital imaging device. The raw image processing pipeline may at least partly process the image data in the signed format. The raw image processing pipeline may also include, among other things, black level compensation logic, fixed pattern noise reduction logic, temporal filtering logic, defective pixel correction logic, spatial noise filtering logic, lens shading correction logic, and highlight recovery logic.


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