Encoding laparoscopic image to words using vision transformer for distortion classification and ranking in laparoscopic videos
Nouar AlDahoul,
Hezerul Abdul Karim,
Mhd Adel Momo
et al.
Abstract:Laparoscopic videos are tools used by surgeons to insert narrow tubes into the abdomen and keep the skin without large incisions. The videos captured by a camera are prone to numerous distortions such as uneven illumination, motion blur, defocus blur, smoke, and noise which have impact on visual quality. Automatic detection and identification of distortions are significant to enhance the quality of laparoscopic videos to avoid errors during surgery. The video quality assessment includes two stages: classificat… Show more
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