Robotic-assisted surgery is now well established in clinical practice and has become the
gold-standard clinical treatment option for several clinical indications. The field of robotic …

Due to the difficulty of collecting real paired data, most existing desmoking methods train the
models by synthesizing smoke, generalizing poorly to real surgical scenarios. Although a …

Surgical smoke caused poor visibility during laparoscopic surgery, the smoke removal is
important to improve the safety and efficiency of the surgery. We propose the Multilevel …

Surgical smoke removal algorithms can improve the quality of intra-operative imaging and
reduce hazards in image-guided surgery, a highly desirable post-process for many clinical …

Laparoscopic images and videos are often affected by different types of distortion like noise,
smoke, blur and nonuniform illumination. Automatic detection of these distortions, followed …

In image processing, smoke may degrade visibility and deteriorate the performance of high-
level vision applications. Therefore, single image smoke removal is crucial for computer …

Video quality assessment is a challenging problem having a critical significance in the
context of medical imaging. For instance, in laparoscopic surgery, the acquired video data …

In this paper, a method to remove the smoke effects in laparoscopic images is presented.
The proposed method is based on an image-to-image conditional generative adversarial …

Image desmoking is a significant aspect of endoscopic image processing, effectively
mitigating visual field obstructions without the need for additional surgical interventions …

Smoke generated during laparoscopic surgery blocks the doctor's sight and degrades the
quality of the images severely; thus, surgical de-smoking is a crucial task during …