Invention Grant
- Patent Title: Noise reduction using sequential use of multiple noise models
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Application No.: US15499659Application Date: 2017-04-27
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Publication No.: US10262401B2Publication Date: 2019-04-16
- Inventor: Maxim W. Smirnov , D. Amnon Silverstein
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: Apple Inc.
- Current Assignee: Apple Inc.
- Current Assignee Address: US CA Cupertino
- Agency: Fenwick & West LLP
- Main IPC: G06T5/00
- IPC: G06T5/00 ; G06T5/10 ; G06T7/00

Abstract:
Embodiments of the present disclosure relate to performing noise reduction on an input image by first filtering the input image based on coarse noise models of pixels and then subsequently filtering the filtered input image based on finer noise models. The finer noise models use the same or more number of neighboring pixels than the coarse noise filters. The first filtering and subsequent filtering of a pixel in the input image use Mahalanobis distances between the pixel and its neighboring pixels. By performing iterations of filtering using more refined noise models, the noise reduction in the input image can be performed more efficiently and effectively.
Public/Granted literature
- US20180315172A1 Noise Reduction Using Sequential Use of Multiple Noise Models Public/Granted day:2018-11-01
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