Image processing model training method and device and white balance processing method and device

An image processing and training method technology, applied in the field of image processing, can solve the problems of reducing model accuracy, difficulty in obtaining training sets, and different actual colors, and achieve the effects of saving annotation time, reducing training difficulty, and efficient training

Pending Publication Date: 2021-06-01
维沃移动通信(深圳)有限公司
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Problems solved by technology

[0002] In related technologies, for image acquisition devices such as cameras, due to the limitations of hardware sensors, there will be a certain difference between the image output by the sensor and the image viewed by human eyes, resulting in the difference between the color of the object in the captured image and the actual color of the object recognized by human eyes. different colors
[0003] Generally speaking, it is necessary to perform white balance processing on the source photos taken. The current white balance method based on deep neural network is based on supervised and semi-supervised methods, and this method requires a large number of training sets containing real light source annotations during model training. data, and the annotation of real light sources takes a lot of time, which makes it difficult to obtain the training set, and ultimately reduces the accuracy of the trained model

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  • Image processing model training method and device and white balance processing method and device
  • Image processing model training method and device and white balance processing method and device
  • Image processing model training method and device and white balance processing method and device

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Embodiment Construction

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0039] The terms "first", "second" and the like in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the application can be practiced in sequences other than those illustrated or described herein. In addition, "and / or" in the specification an...

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Abstract

The invention discloses an image processing model training method and device and a white balance processing method and device, and the image processing model training method comprises the steps: obtaining a first training set image; performing color cast processing on the first training set image to obtain a second training set image after color cast; and training the to-be-trained neural network through the first training set image and the second training set image to obtain an image processing model for white balance processing.

Description

technical field [0001] The present application belongs to the technical field of image processing, and in particular relates to an image processing model training method and device, and a white balance processing method and device. Background technique [0002] In related technologies, for image acquisition devices such as cameras, due to the limitations of hardware sensors, there will be a certain difference between the image output by the sensor and the image viewed by human eyes, resulting in the difference between the color of the object in the captured image and the actual color of the object recognized by human eyes. The colors are different. [0003] Generally speaking, it is necessary to perform white balance processing on the source photos taken. The current white balance method based on deep neural network is based on supervised and semi-supervised methods, and this method requires a large number of training sets containing real light source annotations during mode...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G06T5/00G06N3/08G06N3/04
CPCG06T5/50G06T5/009G06N3/08G06T2207/20081G06N3/045
Inventor 张英琦
Owner 维沃移动通信(深圳)有限公司
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