Self-supervised smoke removal method for operation video

Self-supervised smoke removal method for operation video

The invention discloses a self-supervised smoke removal method for an operation video, and belongs to the technical field of image restoration. The problem that operation smoke generated in the laparoscopic operation process disturbs the visual field of a doctor is solved. A video smoke removal mode...

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Hauptverfasser: LI GUOXIN, WU RENLONG, CHEN HAO, ZHANG ZHILU, GOU LONGFEI, ZUO WANGMENG, ZHANG SHUOHAO
Format: Patent
Sprache:chi ; eng
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CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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creator LI GUOXIN
WU RENLONG
CHEN HAO
ZHANG ZHILU
GOU LONGFEI
ZUO WANGMENG
ZHANG SHUOHAO
description The invention discloses a self-supervised smoke removal method for an operation video, and belongs to the technical field of image restoration. The problem that operation smoke generated in the laparoscopic operation process disturbs the visual field of a doctor is solved. A video smoke removal model is built by a smoke frame encoder, a reference frame encoder, an alignment module, a fusion module and a reconstruction module, a frame before a high-energy instrument starts to work, namely a pre-smoke frame, is regarded as a non-alignment supervision signal, a smoke video sequence # imgabs0 # containing N smoke frames and the pre-smoke frame Sref are adopted to train the video smoke removal model, and the non-alignment supervision signal is obtained. Obtaining a trained video smoke removal model; in practical application, the trained video smoke removal model obtains a smoke-removed video sequence based on a real pre-smoke frame and a real smoke video sequence. The method is used for removing the smoke in the s
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title Self-supervised smoke removal method for operation video
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