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Image processing model training method and device and medium

A technology of image processing and training methods, which is applied in the field of image processing and can solve problems such as blurred output

Active Publication Date: 2020-02-21
BEIJING XIAOMI INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most current digital zoom methods simply upsample a cropped area of ​​camera sensor input, which produces blurry output
Acquiring high-quality images of distant objects without expensive optics remains a challenge

Method used

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  • Image processing model training method and device and medium
  • Image processing model training method and device and medium
  • Image processing model training method and device and medium

Examples

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Embodiment Construction

[0070] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0071] High-quality zoom capabilities are very important to the consumer camera market. Because optical zoom lenses are expensive and bulky, digital zoom is currently the predominant approach. However, most current digital zoom methods simply upsample a cropped region of camera sensor input, which produces blurry output.

[0072] With the gradual maturity of deep learning, the digital zoom tec...

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Abstract

The invention relates to an image processing model training method and device and a medium. The method comprises: for each training scene in N training scenes, acquiring M frames of long-distance shotimages respectively, wherein N and M are positive integers larger than 1; for each training scene, obtaining a short-distance standard image of the training scene; for each training scene, cutting the M frames of long-distance shot images into images with the same field of view as the short-distance standard image, and aligning the cut M frames of long-distance shot images based on the short-distance standard image; forming a training sample pair of each training scene by the M frames of long-distance shot images and the short-distance standard images after alignment of each training scene, and forming a training sample set by N training sample pairs corresponding to the N training scenes respectively; and training the image processing model based on the training sample set. By the adoption of the method, the digital zoom effect is effectively improved, and meanwhile the purpose of denoising is achieved. By adopting the method, a user can see more clearly when shooting distant characters or other objects.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular to a training method, device and medium of an image processing model. Background technique [0002] The zoom function is a must-have feature in today's cell phones and cameras. People take photos by zooming in on distant objects, such as wild animals and athletes, to see objects in more detail. Some smartphones even come with two cameras with different zoom levels. This demonstrates the importance of high-quality zoom capabilities to the consumer camera market. Optical zoom is the best choice for image zoom, which can maintain high image quality, but zoom lenses are usually expensive and bulky. Therefore, at present, digital zoom is mainly used for image enhancement. Digital zoom (Digital Zoom) is to increase the area of ​​each pixel in the picture through the processor in the mobile phone or digital camera, so as to achieve the purpose of magnification. H...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06K9/62
CPCG06T2207/10004G06T2207/20081G06F18/2155G06T5/00G06T3/4053G06T2207/20084G06N3/08G06N3/045G06T3/4046G06T2207/20132H04N23/951G06F18/214G06F18/217
Inventor 张亮
Owner BEIJING XIAOMI INTELLIGENT TECH CO LTD
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