Image processing method and device, and electronic device

By using YUV-type image processing methods and local alignment processing and difference parameter adjustment, the problem of insufficient image alignment accuracy is solved, resulting in better image alignment and reduced artifact generation.

CN115170431BActive Publication Date: 2026-06-05GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP LTD
Filing Date
2022-07-22
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

In existing multi-frame image fusion and noise reduction processes, the accuracy of image alignment is poor, which makes it easy to produce artificial artifacts after the aligned image is fused with the original image.

Method used

A YUV-type image processing method is adopted. The difference parameters between the Y and UV channels are determined through local alignment processing, and the Y channel parameters are adjusted based on the information of the UV channel to improve the accuracy of image alignment and reduce the probability of mismatch.

Benefits of technology

It improves the accuracy of image alignment processing, reduces artificial artifacts after image fusion, and achieves better alignment results.

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Abstract

The application relates to an image processing method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a set of images to be processed; wherein the set of images to be processed comprises a reference image and other frame images; the images in the set of images to be processed are YUV type images; based on the reference image, local alignment processing is performed on each other frame image to obtain each local alignment image; in the process of local alignment processing, based on the difference between each other frame image and the reference image, a first difference parameter on the Y channel and a second difference parameter on the U channel and the V channel are determined; based on the second difference parameter, the first difference parameter is adjusted to obtain an adjusted first difference parameter; wherein the adjusted first difference parameter is used to determine a reference block matched with a target block in the other frame image when performing local alignment processing. The method can effectively improve the accuracy of image alignment processing.
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