Structure Aware Image Denoising and Noise Variance Estimation

Patent №

US 9,852,353

Granted

2017-12-26

Filed 2014

Owner

ADOBE SYSTEMS INCORPORATED

Lab

AI components

3

ml · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14539767

Structure aware image denoising and noise variance estimation techniques are described. In one or more implementations, structure-aware denoising is described which may take into account a structure of patches as part of the denoising operations. This may be used to select one or more reference patches for a pixel based on a structure of the patch, may be used to compute weights for patches that are to be used to denoised a pixel based on similarity of the patches, and so on. Additionally, implementations are described to estimate noise variance in an image using a map of patches of an image to identify regions having pixels having a variance that is below a threshold. The patches from the one or more regions may then be used to estimate noise variance for the image.

AI classification

Vision1.00
Machine learning0.95
AI hardware0.68
Evolutionary computation0.01
Planning0.00
Speech0.00
Knowledge representation0.00
Natural language0.00

Ownership

ADOBE SYSTEMS INCORPORATED

assignment · 341590216

Assignors

LIN, ZHE, KIM, BYUNGMOON, GAO, YUAN

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

From the same owner

© 2026 NYSGPT2525 LLC