Raw Camera Noise Reduction Using Alignment Mapping

Patent №

US 9,619,862

Granted

2017-04-11

Filed 2015

Owner

APPLE INC.

Lab

AI components

2

vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14726386

This disclosure pertains to novel devices, methods, and computer readable media for performing raw camera noise reduction using a novel, so-called “alignment mapping” technique to more effectively separate structure from noise in an image, in order to aid in the denoising process. Alignment mapping allows for the extraction of more structure from the image and also the ability to understand the image structure, yielding information for edge direction, edge length, and corner locations within the image. This information can be used to smooth long edges properly and to prevent tight image details, e.g., text, from being overly smoothed. In alignment maps, the amount of noise may be used to compute thresholds and scaling parameters used in the preparation of the alignment map. According to some embodiments, a feature map may also be created for the image. Finally, the image may be smoothed using the created feature map as a mask.

VisionAI hardwareG06T 3/4015G06T 5/70H04N 5/21G06T 2207/10024G06T 2207/20016G06T 2207/20021

AI classification

Vision1.00
AI hardware0.96
Machine learning0.05
Natural language0.01
Knowledge representation0.00
Speech0.00
Evolutionary computation0.00
Planning0.00

Ownership

APPLE INC.

assignment · 357480711

Assignors

ZIMMER, MARK

On an employer assignment, the assignors are typically the inventors.

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