Invention Grant
- Patent Title: Noise models for image processing
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Application No.: US13759749Application Date: 2013-02-05
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Publication No.: US09686537B2Publication Date: 2017-06-20
- Inventor: Ryan Geiss , Changyin Zhou , Samuel William Hasinoff
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: McDonnell Boehnen Hulbert & Berghoff LLP
- Main IPC: H04N9/73
- IPC: H04N9/73 ; H04N5/235 ; H04N17/00 ; G06T5/50 ; H04N5/217 ; H04N5/357

Abstract:
A plurality of images of a scene may be obtained. These images may have been captured by an image sensor, and may include a first image and a second image. A particular gain may have been applied to the first image. An effective color temperature and a brightness of a first pixel in the first image may be determined, and a mapping between pixel characteristics and noise deviation of the image sensor may be selected. The pixel characteristics may include pixel brightness. The selected mapping may be used to map at least the brightness of the first pixel to a particular noise deviation. The brightness of the first pixel and the particular noise deviation may be compared to a brightness of a second pixel of the second image. The comparison may be used to determine whether to merge the first pixel and the second pixel.
Public/Granted literature
- US20140218540A1 Noise Models for Image Processing Public/Granted day:2014-08-07
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