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Found 3 papers, 1 papers with code
A Neural Network based Framework for Effective Laparoscopic Video Quality Assessment
Video quality assessment is a challenging problem having a critical significance in the context of medical imaging.
Residual Networks based Distortion Classification and Ranking for Laparoscopic Image Quality Assessment
Laparoscopic images and videos are often affected by different types of distortion like noise, smoke, blur and nonuniform illumination.
A Smoke Removal Method for Laparoscopic Images
In laparoscopic surgery, image quality can be severely degraded by surgical smoke, which not only introduces error for the image processing (used in image guided surgery), but also reduces the visibility of the surgeons.
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