A smoke removal in laparoscopic images by dark channel prior algorithm based YIQ color space

Medical imaging using laparoscopic plays an important role in diagnosing many diseases, including intestinal diseases, infections inside the stomach, and others, and it is used as a means of vision during internal operations, in many cases, during the removal of infections and tumors, an operation i...

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Bibliographic Details
Main Authors: Lafta, Ali Sadam, Abd-Alameer, Shahad Ahmed, Kareem, Hana H., Daway, Hazim G.
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Color
Medical imaging
Smoke
Online Access:Get full text
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Summary:Medical imaging using laparoscopic plays an important role in diagnosing many diseases, including intestinal diseases, infections inside the stomach, and others, and it is used as a means of vision during internal operations, in many cases, during the removal of infections and tumors, an operation is performed to cauterize process by smoke, which leads to a lack of clarity during imaging. In this study, the aim was to improve the medical laparoscope images that contain smoke based on the Dark Channel Prior (DCP) algorithm. In order to preserve the color information, this algorithm was applied to the lighting component only in YIQ space. To find out the efficiency of the improvement, the proposed method was compared with several optimization algorithms by calculating no-reference quality measures, by analyzing the results, the proposed method obtained high improvement coefficients.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0162135