METHOD AND SYSTEM FOR DETECTION OF INHERENT NOISE PRESENT WITHIN A VIDEO SOURCE PRIOR TO DIGITAL VIDEO COMPRESSION

Patent №

US 9,838,643

Granted

2017-12-05

Filed 2016

Owner

INTERRA SYSTEMS, INC.

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15229006

A method and system detection of inherent noise present within a video source prior to digital video compression is disclosed. A noise image is extracted by subtracting a current image from its filtered version. Each pixel of the extracted noise image is normalized based on a determined principal edge image and the analog noise pixels are accumulated to generate an intermediate noise confidence value. Analog noise may be detected based on an analog noise confidence value generated based on the intermediate noise confidence value and a ringing metric, a blockiness metric, a motion vector cost of the current image, a blurriness exception weight, a flashiness exception weight, and a pan blur exception weight. The method may further comprise detection of high frequency noise based on determining a high frequency noise confidence value that may be based on a high frequency noise value and a frequency component with highest magnitude.

VisionH04N 5/911G06T 5/75G06T 7/0002G06T 7/13H04N 9/8042G06T 2207/30168

AI classification

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

Ownership

INTERRA SYSTEMS, INC.

assignment · 393480292

Assignors

MOGRE, ADVAIT MADHAV, KUMAR, BHUPENDER, ALAM, PERVEZ, GUPTA, RISHI, MADNANI, SHEKHAR

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

© 2026 NYSGPT2525 LLC