公开(公告)号：US20230120553A1

公开(公告)日：2023-04-20

申请号：US17504886

申请日：2021-10-19

Applicant: GOOGLE LLC

Inventor： Mohammad Izadi ,  Yeping Su ,  Jeremy Dorfman

IPC: H04N19/85 ,  G06T5/00

Abstract: Image denoising includes obtaining a saliency map for an image. The saliency map includes respective saliency scores for pixels of the image. Respective noise levels are assigned to the pixels using the respective saliency scores to obtain a noise level map. The image is denoised using the noise level map to obtain a denoised image. The denoised image is output, such as to a display or a storage device.

公开(公告)号：US20230119747A1

公开(公告)日：2023-04-20

申请号：US17908068

申请日：2020-05-19

Applicant: GOOGLE LLC

Inventor： Mohammad Izadi ,  Pavan Madhusudanarao ,  Balineedu Adsumilli

IPC: G06T5/00 ,  G06T5/20

Abstract: Image data is processed for noise reduction before encoding and subsequent decoding. For an input image in a spatial domain, two-dimensional (2-D) wavelet coefficients at multiple levels are generated. Each level includes multiple subbands, each associated with a respective subband type in a wavelet domain. For respective levels, a flat region of a subband is identified, which flat region includes blocks of the subband having a variance no higher than a first threshold variance. A flat block set for the subband type associated with the subband is identified, which includes blocks common to respective flat regions of the subband. A second threshold variance is determined using variances of the flat block set, and is then used for thresholding at least some of the 2-D wavelet coefficients to remove noise. After thresholding, a denoised image is generated in the spatial domain using the levels.

公开(公告)号：US20220222784A1

公开(公告)日：2022-07-14

申请号：US17708983

申请日：2022-03-30

Applicant: Google LLC

Inventor： Damien Kelly ,  Neil Birkbeck ,  Balineedu Adsumilli ,  Mohammad Izadi

IPC: G06T5/00

Abstract: Processing a spherical video using denoising is described. Video content comprising the spherical video is received. Whether a camera geometry or a map projection, or both, used to generate the spherical video is available is then determined. The spherical video is denoised using a first technique responsive to a determination that the camera geometry, the map projection, or both is available. Otherwise, the spherical video is denoised using a second technique. At least some steps of the second technique can be different from steps of the first technique. The denoised spherical video can be encoded for transmission or storage using less data than encoding the spherical video without denoising.

公开(公告)号：US11308584B2

公开(公告)日：2022-04-19

申请号：US16613932

申请日：2017-12-04

Applicant: Google LLC

Inventor： Damien Kelly ,  Neil Birkbeck ,  Balineedu Adsumilli ,  Mohammad Izadi

IPC: G06T5/00

Abstract: A method for denoising video content includes identifying a first frame block associated with a first frame of the video content. The method also includes estimating a first noise model that represents characteristics of the first frame block. The method also includes identifying at least one frame block adjacent to the first frame block. The method also includes generating a second noise model that represents characteristics of the at least one frame block adjacent to the first frame block by adjusting the first noise model based on at least one characteristic of the at least one frame block adjacent to the first frame block. The method also includes denoising the at least one frame block adjacent to the first frame block using the second noise model.

公开(公告)号：US20210287341A1

公开(公告)日：2021-09-16

申请号：US16613945

申请日：2017-12-05

Applicant: Google LLC

Inventor： Neil Birkbeck ,  Balineedu Adsumilli ,  Mohammad Izadi

IPC: G06T5/00

Abstract: A method for denoising video content includes identifying a first frame block of a plurality of frame blocks associated with a first frame of the video content. The method also includes determining an average intensity value for the first frame block. The method also includes determining a first noise model that represents characteristics of the first frame block. The method also includes generating a denoising function using the average intensity value and the first noise model for the first frame block. The method further includes denoising the plurality of frame blocks using the denoising function.