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Methods and systems for suppressing noise in images

Research output: PatentScientific

Standard

Methods and systems for suppressing noise in images. / Foi, Alessandro (Inventor); Maggioni, Matteo (Inventor).

IPC No.: G06T 5/ 00 A I. Patent No.: CN104620282.

Research output: PatentScientific

Harvard

Foi, A & Maggioni, M 2015, Methods and systems for suppressing noise in images, Patent No. CN104620282, IPC No. G06T 5/ 00 A I.

APA

Foi, A., & Maggioni, M. (2015). IPC No. G06T 5/ 00 A I. Methods and systems for suppressing noise in images. (Patent No. CN104620282).

Vancouver

Foi A, Maggioni M, inventors. Methods and systems for suppressing noise in images. G06T 5/ 00 A I. 2015 May 13.

Author

Foi, Alessandro (Inventor) ; Maggioni, Matteo (Inventor). / Methods and systems for suppressing noise in images. IPC No.: G06T 5/ 00 A I. Patent No.: CN104620282.

Bibtex - Download

@misc{d42bbdfe772d4e34a874e3bfbe27f5d8,
title = "Methods and systems for suppressing noise in images",
abstract = "Various techniques are disclosed to effectively suppress noise in images (e.g., video or still images). For example, noise in images may be more accurately modeled as having a structured random noise component and a structured fixed pattern noise (FPN) component. Various parameters of noise may be estimated robustly and efficiently in real time and in offline processing. Noise in images may be filtered adaptively, based on various noise parameters and motion parameters. Such filtering techniques may effectively suppress noise even in images that have a prominent FPN component, and may also improve effectiveness of other operations that may be affected by noise.",
author = "Alessandro Foi and Matteo Maggioni",
year = "2015",
month = "5",
day = "13",
language = "English",
type = "Patent",
note = "CN104620282; G06T 5/ 00 A I",

}

RIS (suitable for import to EndNote) - Download

TY - PAT

T1 - Methods and systems for suppressing noise in images

AU - Foi, Alessandro

AU - Maggioni, Matteo

PY - 2015/5/13

Y1 - 2015/5/13

N2 - Various techniques are disclosed to effectively suppress noise in images (e.g., video or still images). For example, noise in images may be more accurately modeled as having a structured random noise component and a structured fixed pattern noise (FPN) component. Various parameters of noise may be estimated robustly and efficiently in real time and in offline processing. Noise in images may be filtered adaptively, based on various noise parameters and motion parameters. Such filtering techniques may effectively suppress noise even in images that have a prominent FPN component, and may also improve effectiveness of other operations that may be affected by noise.

AB - Various techniques are disclosed to effectively suppress noise in images (e.g., video or still images). For example, noise in images may be more accurately modeled as having a structured random noise component and a structured fixed pattern noise (FPN) component. Various parameters of noise may be estimated robustly and efficiently in real time and in offline processing. Noise in images may be filtered adaptively, based on various noise parameters and motion parameters. Such filtering techniques may effectively suppress noise even in images that have a prominent FPN component, and may also improve effectiveness of other operations that may be affected by noise.

M3 - Patent

M1 - CN104620282

ER -