Michael N Rubinstein

US Patent:

20230015117, Jan 19, 2023

Filed:

Jul 1, 2022

Appl. No.:

17/856370

Inventors:

- Mountain View CA, US
David Edward Jacobs - Mountain View CA, US
Kai Jochen Kohlhoff - Mountain View CA, US
Michael Rubinstein - Natick MA, US
Yossi Gandelsman - Berkeley CA, US
Junfeng He - Fremont CA, US
Inbar Mosseri - Raanana, IL
Yael Pritch Knaan - Tel Aviv, IL

International Classification:

G06T 7/194
G06V 40/20
G06T 7/11
G06T 3/00
G06T 11/00

Abstract:

Techniques for tuning an image editing operator for reducing a distractor in raw image data are presented herein. The image editing operator can access the raw image data and a mask. The mask can indicate a region of interest associated with the raw image data. The image editing operator can process the raw image data and the mask to generate processed image data. Additionally, a trained saliency model can process at least the processed image data within the region of interest to generate a saliency map that provides saliency values. Moreover, a saliency loss function can compare the saliency values provided by the saliency map for the processed image data within the region of interest to one or more target saliency values. Subsequently, the one or more parameter values of the image editing operator can be modified based at least in part on the saliency loss function.

US Patent:

20200282811, Sep 10, 2020

Filed:

May 26, 2020

Appl. No.:

16/883587

Inventors:

- Mountain View CA, US
Abraham STEPHENS - San Mateo CA, US
Daniel PETTIGREW - Pacific Palisades CA, US
Aaron MASCHINOT - Somerville MA, US
Ce LIU - Cambridge MA, US
Michael KRAININ - Arlington MA, US
Michael RUBINSTEIN - Natick MA, US
Jingyu CUI - Milpitas CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

B60J 3/04
G02F 1/1333
G02F 1/137
H04N 5/00
H04N 1/60
G06T 5/00
H04N 1/38
H04N 5/232
G06T 5/50
H05B 45/20

Abstract:

Some implementations relate to determining whether glare is present in captured image(s) of an object (e.g., a photo) and/or to determining one or more attributes of any present glare. Some of those implementations further relate to adapting one or more parameters for a glare removal process based on whether the glare is determined to be present and/or based on one or more of the determined attributes of any glare determined to be present. Some additional and/or alternative implementations disclosed herein relate to correcting color of a flash image of an object (e.g., a photo). The flash image is based on one or more images captured by a camera of a client device with a flash component of the client device activated. In various implementations, correcting the color of the flash image is based on a determined color space of an ambient image of the object.