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Image processing method and device

An image processing and image technology, applied in the direction of image data processing, image enhancement, image analysis, etc., can solve the problem of gradually accumulating errors, reducing image quality, etc., to avoid error accumulation, avoid mutual influence, and restore image details.

Pending Publication Date: 2021-03-19
HUAWEI TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the traditional image signal processing (Image Signal Processing, ISP) model, various image processing operations are carried out in a certain order. However, due to the mutual influence between various image processing operations, the use of multi-module serial operations will lead to Errors accumulate gradually, degrading image quality

Method used

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Embodiment Construction

[0129] The terms "first", "second" and the like in the description, embodiments and claims of the present application and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion, for example, of a sequence of steps or elements. A method, system, product or device is not necessarily limited to those steps or elements explicitly listed, but may include other steps or elements not explicitly listed or inherent to the process, method, product or device.

[0130] It should be understood that in this application, "at least one (item)" means one or more, and "multiple" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that there can be three types of relationships, for example, "A and / or B" can mean: only A exists, o...

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Abstract

The embodiment of the invention discloses an image processing method, framework and device in the computer vision technology in the field of artificial intelligence, and the method comprises the steps: obtaining multiple frames of RAW images, carrying out image alignment, channel splitting and pixel recombination of the obtained multiple frames of RAW images, carrying out detail recovery of the images based on a deep learning network; and enhancing brightness and colors of images outputted by the deep learning network. According to the embodiment of the invention, various types of processing related to detail recovery are fused in the same deep learning network, thereby avoiding the mutual influence between different types of processing when the various types of processing are carried outin series, effectively fusing the effective information of a plurality of frames of images, and improving the image quality. Image processing effect can be better improved.

Description

technical field [0001] The present application relates to the field of artificial intelligence, in particular to an image processing method and device in computer vision technology. Background technique [0002] Taking pictures has become one of the most commonly used functions of various mobile terminals such as mobile phones, tablet computers, smart glasses, wearable devices, etc., and the ability to restore image details and image clarity can be considered as the most important evaluation criteria for measuring the quality of pictures . However, nowadays, mobile terminal devices are getting thinner and thinner, and the restrictions on the volume of mobile terminals are more stringent, resulting in a certain gap between the physical components of mobile terminal cameras and SLR cameras. Therefore, the image needs to be processed through an algorithm, and the details and clarity of the image should be improved as much as possible on the premise of ensuring the lightness an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T5/00G06T7/90G06N3/04
CPCG06T3/4015G06T7/90G06T2207/20081G06T2207/20084G06N3/045G06T5/73G06T5/70G06T2207/10024G06N3/08H04N23/843H04N25/131H04N25/135H04N23/12H04N25/134G06T5/60G06T3/4053G06T5/50G06T2207/20221G06T5/90
Inventor 王银廷张熙李瑞华张丽萍黄一宁雷奕郑祖全张一帆李欣杨小伟
Owner HUAWEI TECH CO LTD
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