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Image processing method and related device

An image processing and image technology, applied in image data processing, image enhancement, graphic image conversion and other directions, can solve problems such as unnatural skin tone, background noise, negative optimization, etc., and achieve the effect of reducing the probability of highlight and overexposure

Pending Publication Date: 2022-04-12
HUAWEI TECH CO LTD
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing image enhancement method is to downsample the original image to generate a depth bilateral grid, and upsample the depth bilateral grid to generate the original affine transformation matrix, and perform radiation filtering according to the affine transformation matrix to obtain the image Negative optimization will occur in some scenes, such as: highlight overexposure, background noise in dark parts, unnatural skin color, etc.

Method used

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  • Image processing method and related device
  • Image processing method and related device
  • Image processing method and related device

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Embodiment Construction

[0031] The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application. In this application, "at least one" means one or more, and "multiple" means two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three types of relationships, for example, A and / or B, which can mean: A exists alone, A and B exist simultaneously, and B exists alone, where A, B can be singular or plural. The character " / " generally indicates that the contextual objects are an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one item (piece) of a, b or c can represent: a, b, c, a and b, a and c, b and c or a and b and c, wherein a, b and c can be It can be single or multiple. It should be noted that "at...

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Abstract

The embodiment of the invention discloses an image processing method, and the method comprises the steps: enabling data processing equipment to obtain an original image, carrying out the down-sampling of the original image, generating a deep bilateral grid after the deep network calculation, carrying out the correction of an original affine transformation matrix in the deep bilateral grid, obtaining a new affine transformation matrix, and carrying out the processing of the new affine transformation matrix. And the data processing equipment performs affine filtering according to the new affine transformation matrix to generate an enhanced image. And the enhanced image is obtained according to the corrected new affine transformation matrix, so that the phenomenon of negative optimization is effectively reduced.

Description

technical field [0001] The embodiments of the present application relate to the field of artificial intelligence, and in particular, to an image processing method and related devices. Background technique [0002] The existing massive video and picture resources are limited by complex shooting environment, device pixel response performance, non-professional shooting techniques, network transmission compression distortion and other factors, resulting in uneven brightness distribution, not rich layers, and insufficient saturation. Even problems such as blurred and lost details have seriously affected the viewing experience of users. [0003] Image enhancement for images can effectively improve the above problems. Image enhancement is a way to purposely emphasize the overall or local characteristics of the image, making the original image clear or emphasizing the features that some users are interested in. [0004] The existing image enhancement method is to downsample the ori...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/00G06T5/00
Inventor 谢江荣于德权唐忠樑
Owner HUAWEI TECH CO LTD
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