公开(公告)号：US20210344968A1

公开(公告)日：2021-11-04

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：US20210343045A1

公开(公告)日：2021-11-04

申请号：US17307419

申请日：2021-05-04

Applicant: ATEME

Inventor： Thomas GUIONNET ,  Sébastien HERBRETEAU

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

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：US20220191501A1

公开(公告)日：2022-06-16

申请号：US17550601

申请日：2021-12-14

Applicant: ATEME

Inventor： Thomas GUIONNET

IPC: H04N19/136 ,  H04N19/103

Abstract: A method of processing an image is proposed, which includes: generating a decoded image by first encoding the image, wherein the first encoding the image includes decoding encoded data generated based on the image, determining estimates of parameters of a parametric model of noise contained in the image based on the decoded image, including the estimates of parameters of the parametric model of noise in an encoded stream generated by second encoding the image.

公开(公告)号：US20210344940A1

公开(公告)日：2021-11-04

申请号：US17307364

申请日：2021-05-04

Applicant: ATEME

Inventor： Thomas GUIONNET ,  Sébastien HERBRETEAU

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

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：US20240202978A1

公开(公告)日：2024-06-20

申请号：US18594932

申请日：2024-03-04

Applicant: ATEME

Inventor： Thomas GUIONNET ,  Sébastien HERBRETEAU

IPC: G06T9/00 ,  G06T5/92 ,  H04N19/119 ,  H04N19/142 ,  H04N19/172 ,  H04N19/98

CPC classification number: G06T9/00 ,  G06T5/92 ,  H04N19/119 ,  H04N19/142 ,  H04N19/172 ,  H04N19/98 ,  G06T2207/20204 ,  G06T2207/20208

Abstract: A method of processing an image of a video sequence including a plurality of images, in which the video sequence is divided into a sequence of consecutive subsets each including one or more consecutive images of the video sequence, 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, the analysis window including a plurality of consecutive images of the video sequence, and including 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：US20200342578A1

公开(公告)日：2020-10-29

申请号：US16958935

申请日：2018-12-21

Applicant: ATEME

Inventor： Thomas GUIONNET

IPC: G06T5/00 ,  G06T5/50

Abstract: Disclosed is a method for processing a video stream including a set of images liable to contain a transition effect, the method including the following steps: detecting a fade-type transition effect within the set of images of the video stream and, where appropriate, calculating minimum and maximum brightnesses LMIN and LMAX for each image of the set of images containing the fade; estimating minimum and maximum brightnesses EMIN and EMAX for all of the images not containing the detected transition effect; determining minimum and maximum brightnesses SMIN and SMAX for a standard dynamic range; calculating minimum and maximum brightnesses TMIN and TMAX depending on the minimum and maximum brightnesses LMIN, LMAX, EMIN, EMAX, SMIN and SMAX calculated and determined beforehand; transmitting the calculated minimum and maximum brightnesses TMIN and TMAX with a view to dynamic range compression.