Towards a Video Quality Assessment based Framework for Enhancement of Laparoscopic Videos

Autor:	Khan, Zohaib Amjad, Beghdadi, Azeddine, Cheikh, Faouzi Alaya, Kaaniche, Mounir, Pelanis, Egidijus, Palomar, Rafael, Fretland, Åsmund Avdem, Edwin, Bjørn, Elle, Ole Jakob
Rok vydání:	2020
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing
Zdroj:	Proc. SPIE 11316, Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment, 113160P (2020)
Druh dokumentu:	Working Paper
DOI:	10.1117/12.2549266
Popis:	Laparoscopic videos can be affected by different distortions which may impact the performance of surgery and introduce surgical errors. In this work, we propose a framework for automatically detecting and identifying such distortions and their severity using video quality assessment. There are three major contributions presented in this work (i) a proposal for a novel video enhancement framework for laparoscopic surgery; (ii) a publicly available database for quality assessment of laparoscopic videos evaluated by expert as well as non-expert observers and (iii) objective video quality assessment of laparoscopic videos including their correlations with expert and non-expert scores. Comment: SPIE Medical Imaging 2020 (Draft version)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2003.12679 Zobrazit plný text záznamu View this record from Arxiv