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Image processing method and device, mobile platform and machine readable storage medium

An image processing and image technology, applied in the field of image processing, can solve problems such as low image quality, achieve high-efficiency imaging performance, improve image quality, and have a good user experience.

Pending Publication Date: 2021-01-01
SZ DJI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the image quality of the sRGB color image obtained by the above method is still relatively low, and the image quality may be improved

Method used

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  • Image processing method and device, mobile platform and machine readable storage medium
  • Image processing method and device, mobile platform and machine readable storage medium
  • Image processing method and device, mobile platform and machine readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] Embodiment 1: see figure 2 Shown is a schematic flow chart of the image processing method, the method comprising:

[0052] Step 201, acquiring an original training image and a target image corresponding to the original training image.

[0053] Specifically, multiple original images may be acquired, and the exposures of different original images may be the same, or the exposures of different original images may be different. Then, select an original image from multiple original images as the original training image, and perform multi-image fusion processing on the multiple original images to obtain the target image.

[0054] Exemplarily, the plurality of original images includes a plurality of original images collected in a bracketing exposure mode. Among them, the exposure bracketing mode (Bracketing) is an advanced function of the camera. Based on the exposure bracketing mode, when the shutter is pressed, instead of collecting one original image, multiple original i...

Embodiment 2

[0122] Example 2: see Figure 4 Shown is a flow chart of the image processing method, the method may include:

[0123] Step 401, acquiring images to be processed, that is, images whose quality needs to be improved.

[0124] Specifically, for the target camera, the image to be processed may be collected, and there is no limitation on this.

[0125] Step 402, performing a decorrelation operation on the image to be processed to obtain a multi-channel image.

[0126] Specifically, the R-channel image, the G-channel image, and the B-channel image can be acquired according to the image to be processed, and then the correlation between the R-channel image, the G-channel image, and the B-channel image is removed to obtain a multi-channel image. Wherein, the multi-channel image may include a luma component and a chroma component, and the chroma component may include a first chroma component and a second chroma component.

[0127] Wherein, the acquisition of the R-channel image, G-ch...

Embodiment 3

[0162] Embodiment 3: In another training process of the preset neural network, the preset neural network can be trained according to the multi-channel training image, see Figure 5 Shown is a flow chart of the image processing method.

[0163] Step 501, acquire multi-channel training images according to the original training images.

[0164] Wherein, for the process of obtaining multi-channel training images according to the original training images, refer to Embodiment 1.

[0165] In step 502, the preset neural network is trained according to the multi-channel training image; wherein, the preset neural network includes a multi-scale extraction network, and the multi-scale extraction network is used to obtain the multi-channel training image of each channel in the multi-channel training image. scale feature. For example, a multi-channel training image may include a luminance component and a chrominance component, and the multi-scale extraction network may include a first mul...

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Abstract

The invention discloses an image processing method and device, a movable platform and a machine readable storage medium. The method comprises the steps of obtaining an original training image and a target image corresponding to the original training image (201); performing a decorrelation operation on the original training image to obtain a multi-channel training image (202); and training a presetneural network according to the multi-channel training image and the target image (203). The method has efficient imaging performance, a high-quality imaging result is obtained, and the use experience of a user is very good.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to an image processing method, device, movable platform and machine-readable storage medium. Background technique [0002] In the traditional way, after the original image is collected, the original image can be demosaiced, denoised, white balanced, color space converted, image sharpened and color enhanced to obtain sRGB (standard Red Green Blue, standard red green blue) color image. However, the image quality of the sRGB color image obtained in the above manner is still relatively low, and the image quality may be improved. Contents of the invention [0003] A first aspect of the present invention provides an image processing method, the method comprising: [0004] Obtaining an original training image and a target image corresponding to the original training image; [0005] Performing a decorrelation operation on the original training image to obtain a multi-channel tra...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00H04N5/232H04N5/235H04N9/73
CPCG06T5/00G06T2207/10004G06T2207/10024G06T2207/20081G06T2207/20084G06T2207/10141G06T2207/20221H04N23/80H04N23/741H04N23/88
Inventor 梁哲通曹子晟胡攀
Owner SZ DJI TECH CO LTD
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