Invention Application
- Patent Title: TRANSFORMING GRAYSCALE IMAGES INTO COLOR IMAGES USING DEEP NEURAL NETWORKS
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Application No.: US16494386Application Date: 2018-05-21
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Publication No.: US20200098144A1Publication Date: 2020-03-26
- Inventor: Mohammad Norouzi , Jonathon Shiens , David Bieber , Sergio Guadarrama Cotado , Kevin Patrick Murphy , Ryan Lienhart Dahl
- Applicant: Google LLC
- International Application: PCT/US2018/033676 WO 20180521
- Main IPC: G06T11/00
- IPC: G06T11/00 ; G06T7/90 ; G06T3/40

Abstract:
Systems and methods for transforming grayscale images into color images using deep neural networks are described. One of the systems include one or more computers and one or more storage devices storing instructions that, when executed by one or more computers, cause the one or more computers to implement a coloring neural network, a refinement neural network, and a subsystem. The coloring neural network is configured to receive a first grayscale image having a first resolution and to process the first grayscale image to generate a first color image having a second resolution lower than the first resolution. The subsystem processes the first color image to generate a set of intermediate image outputs. The refinement neural network is configured to receive the set intermediate image outputs, and to process the set of intermediate image outputs to generate a second color image having a third resolution higher than the second resolution.
Public/Granted literature
- US11087504B2 Transforming grayscale images into color images using deep neural networks Public/Granted day:2021-08-10
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06T | 一般的图像数据处理或产生 |
G06T11/00 | 2D〔二维〕图像的生成 |