公开(公告)号：US20210274151A1

公开(公告)日：2021-09-02

申请号：US17322216

申请日：2021-05-17

Applicant: Google LLC

Inventor： Tianfan Xue ,  Jian Wang ,  Jiawen Chen ,  Jonathan Barron

IPC: H04N13/25 ,  H04N13/254 ,  H04N5/235

Abstract: Scenes can be imaged under low-light conditions using flash photography. However, the flash can be irritating to individuals being photographed, especially when those individuals' eyes have adapted to the dark. Additionally, portions of images generated using a flash can appear washed-out or otherwise negatively affected by the flash. These issues can be addressed by using a flash at an invisible wavelength, e.g., an infrared and/or ultraviolet flash. At the same time a scene is being imaged, at the invisible wavelength of the invisible flash, the scene can also be imaged at visible wavelengths. This can include simultaneously using both a standard RGB camera and a modified visible-plus-invisible-wavelengths camera (e.g., an “IR-G-UV” camera). The visible and invisible image data can then be combined to generate an improved visible-light image of the scene, e.g., that approximates a visible light image of the scene, had the scene been illuminated during daytime light conditions.

公开(公告)号：US20200077076A1

公开(公告)日：2020-03-05

申请号：US16120666

申请日：2018-09-04

Applicant: Google LLC

Inventor： Tianfan Xue ,  Jian Wang ,  Jiawen Chen ,  Jonathan Barron

IPC: H04N13/25 ,  H04N13/254 ,  H04N5/235

Abstract: Scenes can be imaged under low-light conditions using flash photography. However, the flash can be irritating to individuals being photographed, especially when those individuals' eyes have adapted to the dark. Additionally, portions of images generated using a flash can appear washed-out or otherwise negatively affected by the flash. These issues can be addressed by using a flash at an invisible wavelength, e.g., an infrared and/or ultraviolet flash. At the same time a scene is being imaged, at the invisible wavelength of the invisible flash, the scene can also be imaged at visible wavelengths. This can include simultaneously using both a standard RGB camera and a modified visible-plus-invisible-wavelengths camera (e.g., an “IR-G-UV” camera). The visible and invisible image data can then be combined to generate an improved visible-light image of the scene, e.g., that approximates a visible light image of the scene, had the scene been illuminated during daytime light conditions.

公开(公告)号：US10579908B2

公开(公告)日：2020-03-03

申请号：US15843345

申请日：2017-12-15

Applicant: Google LLC

Inventor： Jiawen Chen ,  Samuel Hasinoff ,  Michael Gharbi ,  Jonathan Barron

IPC: G06K9/62 ,  G06K9/66 ,  G06T3/00 ,  G06T3/40 ,  G06T5/00 ,  H04N5/232

Abstract: Systems and methods described herein may relate to image transformation utilizing a plurality of deep neural networks. An example method includes receiving, at a mobile device, a plurality of image processing parameters. The method also includes causing an image sensor of the mobile device to capture an initial image and receiving, at a coefficient prediction neural network at the mobile device, an input image based on the initial image. The method further includes determining, using the coefficient prediction neural network, an image transformation model based on the input image and at least a portion of the plurality of image processing parameters. The method additionally includes receiving, at a rendering neural network at the mobile device, the initial image and the image transformation model. Yet further, the method includes generating, by the rendering neural network, a rendered image based on the initial image, according to the image transformation model.