公开(公告)号：US11483590B2

公开(公告)日：2022-10-25

申请号：US17307339

申请日：2021-05-04

Applicant: ATEME

Inventor： Thomas Guionnet ,  Sébastien Herbreteau

IPC: H04N19/86 ,  H04N19/182 ,  G06T5/00 ,  G06T5/50

Abstract: A method of method of processing an image includes: determining estimates of parameters of an auto-regressive, AR, parametric model of noise contained in the image, according to which a current noise pixel is computed as a combination of a linear combination of P previous noise pixels in a causal neighborhood of the current noise pixel weighted by respective AR model linear combination parameters (φ1, . . . , φP) with a generated noise sample corresponding to an additive Gaussian noise of AR model variance parameter (σ), generating a noise template of noise pixels based on the estimated AR model parameters, wherein the noise template is of a predetermined pixel size smaller than the pixel size of the image, determining an estimate (σP) of a variance of the noise template, and based on a comparison of the estimated variance (σP) with a predetermined threshold (Tσ), correcting the AR model variance parameter (σ).

公开(公告)号：US20220038748A1

公开(公告)日：2022-02-03

申请号：US17390509

申请日：2021-07-30

Applicant: ATEME

Inventor： Thomas Guionnet ,  Sébastien Herbreteau

IPC: H04N19/85 ,  G06T5/00

Abstract: A method of processing an image is proposed, which includes: determining, based on the image, one or more noise templates, wherein each of the one or more noise templates includes noise pixels representing noise contained in the image; calculating one or more first autocovariance values, based on the noise pixels of at least one of the one or more noise templates; based on the one or more first autocovariance values, selecting an entry of a noise model database among database entries which respectively include values of noise model parameters corresponding to a noise model.

公开(公告)号：US11948335B2

公开(公告)日：2024-04-02

申请号：US17307419

申请日：2021-05-04

Applicant: ATEME

Inventor： Thomas Guionnet ,  Sébastien Herbreteau

IPC: H04N19/119 ,  G06T5/00 ,  G06T9/00 ,  H04N19/142 ,  H04N19/172 ,  H04N19/98

CPC classification number: G06T9/00 ,  G06T5/009 ,  H04N19/119 ,  H04N19/142 ,  H04N19/172 ,  H04N19/98 ,  G06T2207/20204 ,  G06T2207/20208

Abstract: A method of method of processing an image of a video sequence including a plurality of images, wherein the video sequence is divided into a sequence of consecutive subsets each including one or more consecutive images of the video sequence is provides, which includes: determining, among the consecutive subsets, a current subset that includes the image, upon determining that the image is a first image of the current subset to be processed, determining an analysis window corresponding to the current subset, wherein the analysis window includes a plurality of consecutive images of the video sequence, and includes at least one image of the current subset, and generating processing results for the image by performing a processing on the images of the analysis window.

公开(公告)号：US11240521B2

公开(公告)日：2022-02-01

申请号：US17307364

申请日：2021-05-04

Applicant: ATEME

Inventor： Thomas Guionnet ,  Sébastien Herbreteau

IPC: G06T5/00 ,  H04N19/46 ,  H04N5/262 ,  H04N19/36

Abstract: A method of method of processing an image includes: determining estimates of parameters of an auto-regressive, parametric model of noise, according to which a current noise pixel is computed combining linear combination of previous noise pixels in a causal neighborhood of the current noise pixel weighted by respective model linear combination parameters with a generated noise sample corresponding to an additive Gaussian noise of model variance parameter; performing a convergence check loop, each iteration including: generating a noise template of noise pixels based on the estimated model parameters, the noise template having predetermined pixel size smaller than the image pixel size; estimating a noise template variance; if the estimated variance is below a first predetermined threshold or above a second predetermined threshold, proportionally decreasing the model linear combination parameters with a predetermined correcting factor, and performing another convergence check loop; otherwise exiting the convergence check loop.

公开(公告)号：US11700397B2

公开(公告)日：2023-07-11

申请号：US17390509

申请日：2021-07-30

Applicant: ATEME

Inventor： Thomas Guionnet ,  Sébastien Herbreteau

IPC: H04N19/85 ,  G06T5/00

CPC classification number: H04N19/85 ,  G06T5/002 ,  G06T2207/10016

Abstract: A method of processing an image is proposed, which includes: determining, based on the image, one or more noise templates, wherein each of the one or more noise templates includes noise pixels representing noise contained in the image; calculating one or more first autocovariance values, based on the noise pixels of at least one of the one or more noise templates; based on the one or more first autocovariance values, selecting an entry of a noise model database among database entries which respectively include values of noise model parameters corresponding to a noise model.