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Title:
DEFECTIVE PIXEL DETECTION MODEL TRAINING METHOD, DEFECTIVE PIXEL DETECTION METHOD, AND DEFECTIVE PIXEL REPAIR METHOD
Document Type and Number:
WIPO Patent Application WO/2024/087163
Kind Code:
A1
Abstract:
The present disclosure relates to the technical field of computer vision, and provides a defective pixel detection model training method, a defective pixel detection method, and a defective pixel repair method. The defective pixel detection model training method comprises acquiring a first training data set and a second training data set, the first training data set comprising multiple frames of sample detection images, and the second training data set comprising multiple frames of sample defective pixel images; for each frame of sample detection image, generating a transparent layer on the basis of the resolution of the sample detection image; replacing an image in a specific area of the transparent layer on the basis of at least one frame of the multiple frames of sample defective pixel images, so as to generate a frame of transparent mask; on the basis of the frame of transparent mask and the sample detection image, generating a sample training image having a defective pixel; and processing the sample detection image by using at least one frame of the multiple frames of sample defective pixel images, so as to generate a frame of sample training image.

Inventors:
ZHU DAN (CN)
DUAN RAN (CN)
Application Number:
PCT/CN2022/128222
Publication Date:
May 02, 2024
Filing Date:
October 28, 2022
Export Citation:
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Assignee:
BOE TECHNOLOGY GROUP CO LTD (CN)
International Classes:
G06T5/50; G06T7/194
Domestic Patent References:
WO2022198381A12022-09-29
Foreign References:
CN112419214A2021-02-26
CN109800698A2019-05-24
CN115018734A2022-09-06
US20210217145A12021-07-15
CN114387230A2022-04-22
Attorney, Agent or Firm:
TEE&HOWE INTELLECTUAL PROPERTY ATTORNEYS (CN)
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