Hybrid denoising of images and videos based on interest metrics

    公开(公告)号:US10706507B2

    公开(公告)日:2020-07-07

    申请号:US15850547

    申请日:2017-12-21

    Applicant: ATEME

    Abstract: Disclosed is a method for processing noise in a digital image having multiple image portions, including: (a) Predefining: criteria of interest for denoising selected details of any image portion of the digital image; a plurality of possible processing procedures to be applied to an image portion in order to denoise the selected details, each processing procedure having an efficiency related to an associated complexity level, the possible processing procedures being ordered by increasing complexity level; (b) For each portion of the image: analyzing the image portion to quantify the presence of one or more of the selected details in the image portion, and calculating an overall interest of the image portion as a function of respective quantifications of the presences of the selected details; comparing the overall interest at the complexity levels, in order to launch the processing procedure having the complexity level corresponding to the calculated overall interest.

    INTELLIGENT COMPRESSION OF GRAINY VIDEO CONTENT

    公开(公告)号:US20190158885A1

    公开(公告)日:2019-05-23

    申请号:US16196218

    申请日:2018-11-20

    Applicant: ATEME

    Abstract: A method for processing a video stream prior to encoding, the video stream potentially comprising a film grain, the method comprising: measuring a film grain intensity in the video stream; obtaining at least one encoding rate information item associated with the video stream, in order to determine a pair of respective values for the grain intensity and encoding rate; comparing the pair values with predetermined respective threshold values in order to categorize the video stream with respect to pairs of predetermined values of grain intensity and rate; and selecting a film grain management strategy among at least four combinations based on the categorization of the video stream.

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