Image white balance method and device based on convolutional neural network, and computing device

A technology of convolutional neural network and computing equipment, which is applied in the direction of color signal processing circuit, etc., to achieve the effect of improving processing effect, increasing calculation speed and ensuring accuracy

Active Publication Date: 2017-02-15
XIAMEN MEITUZHIJIA TECH
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However, there are certain limitations in this method, and it is generally

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  • Image white balance method and device based on convolutional neural network, and computing device
  • Image white balance method and device based on convolutional neural network, and computing device
  • Image white balance method and device based on convolutional neural network, and computing device

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[0026] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0027] figure 1 A block diagram of a computing device 100 according to one embodiment of the present invention is shown. figure 1 A block diagram of an example computing device 100 arranged to implement a convolutional neural network based image white balance apparatus 300 according to the present invention. In a basic configuration 102 , computing device 100 typically includes system memory 106 and one or more processors 104 . A...

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Abstract

The invention discloses an image white balance method based on a convolutional neural network. The method is applied to a computing device. The method comprises the steps of collecting multiple real scene original images with reference colors in different scenes, and extracting two-dimensional chromatic value histograms of the real scene original images and to-be-processed images, wherein the chromatic values comprise two of R gain, B gain and G gain; obtaining ideal correction parameters set when a user corrects the real scene original images; designing the convolutional neural network for carrying out image white balance correction; training the convolutional neural network according to the two-dimensional chromatic value histograms of the real scene original images and the ideal correction parameters; and inputting the two-dimensional chromatic value histograms of the to-be-processed images into the trained convolutional neural network, thereby obtaining the ideal correction parameters of the images, and correcting the images according to the ideal correction parameters. The invention also discloses an image white balance device based on the convolutional neural network and the computing device.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to an image white balance method, device and computing device based on a convolutional neural network. Background technique [0002] Due to flaws in the camera sensor hardware, the image obtained by the sensor is usually somewhat different from what our human eyes see. For example, due to the influence of light sources with different color temperatures, the color tone of the image obtained by the sensor is not consistent with the color tone of the actual scene. In order to obtain an image whose tone is consistent with the actual scene, automatic white balance (AWB, Auto While Balance) correction is usually required. [0003] In the existing automatic white balance scheme, the neutral point in the image can be referred to for correction, but if there is no neutral point in the image (or the wrong neutral point is found), the correction effect will be directly affected. Even ...

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Application Information

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IPC IPC(8): H04N9/73
CPCH04N9/73
Inventor 周凡张长定张伟陈星
Owner XIAMEN MEITUZHIJIA TECH
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